Computer Science and Engg.- Faculty

• PhD in Parallel Computing from VNIT Nagpur (2017)
• M. Tech. in CSE from VNIT Nagpur (2011)
• B. E. in Computer Science form RTMNU Nagpur (2008)

• July 2019 to till date - Assistant Professor, IIIT Nagpur
• August 2011 to July 2019 - Assistant Professor, RCOEM, Nagpur

• 4th Sem CSE – Design & Analysis of Algorithms (2021-22)
• 7^th /8^th Sem CSE – Neural Networks and Deep Learning (2020, 2021, 2022)
• 4th Semester CSE – Design and Analysis of Algorithms (2020-2021)
• 8th Semester CSE/ECE – Neural Network and Deep Learning (2020-2021)
• 3rd Semester CSE - Data Structures with Applications (2019-2020)
• 6th Semester CSE – Neural Network and Deep Learning (2019-2020)
• 2nd Semester CSE - Data Structures (2019-2020)

Link to IRINS/Vidwan Research Profile

Area of Research

• Meta Learning, Federated Learning
• Applied Deep Learning & Machine Learning (Healthcare, Sentiment Analysis, Plant leaf disease detection, Fake news detection, & Deepfake)
• Parallel Computing
• Parallel and Distributed Computing
• Machine Learning Models
• Deep Learning for Computer Vision

Research Project

Patent :

• Jain, Pooja; Tembhurne, Jitendra; Jain, Tapan and Diwan, Tausif (July 2021). An IoT based Smart Food-Cold Chain Transportation System (Australian Patent number: 2021103138).

Journals:

2022

• Tausif Diwan and Jitendra V. Tembhurne, “Sentiment Analysis: A Convolutional Neural Network Perspective”, Multimedia Tools and Applications, Accepted. Indexed in SCI. IF 2.3.
• Jitendra V. Tembhurne, Md. Moin Almin and Tausif Diwan, “Mc-DNN: Fake News Detection using Multi-channel Deep Neural Networks”, International Journal on Semantic Web and Information Systems (IJSWIS), Accepted. Indexed in SCI. IF 1.74.

2021

• Jitendra V. Tembhurne, Anupama Hazarika, Tausif Diwan, “BrC-MCDLM: Breast Cancer Detection Using Multi-Channel Deep Learning Model”, Multimedia Tools and Applications, 80(21), 31647-31670, 2021. (July 2021). DOI: 10.1007/s11042-021-11199-y. Indexed in SCI. IF 2.3.
• Jitendra V. Tembhurne and Tausif Diwan, “Sentiment Analysis in Textual, Visual and Multimodal Inputs using Recurrent Neural Networks”, Multimedia Tools and Applications, 80(5), pp. 6871–6910, 2021. DOI: 10.1007/s11042-020-10037-x. Indexed in SCI. IF 2.3.

2020

• S. Chaturvedi, Jitendra V. Tembhurne, Tausif Diwan, “A Multi-Class Skin Cancer Classification using Deep Convolutional Neural Networks”, Multimedia Tools and Applications, 79(39), pp. 28477-28498, (4th August 2020). https://doi.org/10.1007/s11042-020-09388-2. Indexed in SCI. IF 2.3.

2019

• Tausif Diwan, J. V. Tembhurne, “A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU”, CIT. Journal of Computing and Information Technology, Vol. 27, No. 2, June 2019, pp. 55–66. Indexed in SCOPUS. IF 0.44

2017

• Tausif Diwan and S.R. Sathe, “A Generalized Strategy for Parallelization of Non-Serial Polyadic Dynamic Programming on Multicore and Manycore,” Advanced Science Letters, vol. 23, no. 04, pp. 3802-3807, April 2017. Indexed in Scopus.
• Tausif Diwan and S.R. Sathe, “Efficient scheduling of dynamic programming algorithms on multicore architectures,” Journal of Engineering Science and Technology, vol. 12, no. 05, pp. 1253-1264, 2017. Indexed in Scopus, ESCI.

National/ International Conferences

2022

• Sriram Dharwada, Jitendra Tembhurne and Tausif Diwan, “Multi-channel Deep Model for Classification of Alzheimer’s Disease Using Transfer Learning”, 18th International Conference on Distributed Computing and Intelligent Technology, 19th – 23rd January 2022, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India. Lecture Notes in Computer Science, vol. 13145. Springer, Cham. https://doi.org/10.1007/978-3-030-94876-4_17. Indexed in SCOPUS.

2021

• Varad Pimpalkhute, Prajwal Nakhate and Tausif Diwan, “IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets,” in Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, pp. 118–122, June, 2021.

2016

• Tausif Diwan and S.R. Sathe, “Dynamic Programming Parallelization of Matrix Chain Multiplication on GPU: A Comparative Study,” in Advances in Intelligent Systems and Computing, vol. 394, pp. 333-343, Feb. 2016, Springer. Indexed in Web of Science (ISI Proceedings), Scopus.

PhD.

M. Tech

• 2 Projects

B. Tech.

• More than 29 groups guided

• Faculty Advisor 3rd year section B, CSE
• Time Table and Academic Calendar Co-coordinator
• Internship In charge at Departmental Level
• Hostel In charge

• Visiting Faculty at ABV-IIITM, Gwalior for Parallel and Distributed Computing course of IPG-VI Semester M. Tech.  

• 2018 to till date – Director, IIIT Nagpur
• 2012 to 2018 – Director, VJTI, Mumbai
• 1985 to 2012 -  CSE, VNIT Nagpur (Professor, Associate Professor, Assistant Professor, Lecturer)
• More than 18 Year of Administrative experience at various levels – Director, HoD, Dean Research

• Theory of Computation
• Language Processor
• Compiler Design
• Advanced Compiler Design
• Data Structures

Operating Systems

Link to IRINS/Vidwan Research Profile

Area of Research:

• Language Processor
• Computer Programming Languages
• Advanced Compiler Construction

Reviewer for Journals / Conferences:

• Worked as a reviewer for various International Conferences.

Publications:

• Research publications in peer-reviewed/refereed international research Journals/ Conferences: More than 25

Book Published:

• C & Data Structures, P. S. Deshpande, O. G. Kakde
• Algorithms for Compiler Design, O. G. Kakde
• Complier design, O. G. Kakde
• Comprehensive Compiler Design, O. G. Kakde
• Theory of Computation, O. G. Kakde

• M.E. / M. Tech 
  • More than 10

• B.E. / B. Tech.
  • More than 50
• Ph.D.
  • No. of Ph.D. Completed as Supervisor: 04
  • No. of Ph.D. guiding: 10

• Senate Chairman, IIIT Nagpur
• Coordinator for Ph.D. admissions, VNI Nagpur (VNIT Revised admission process)
• HoD, CSE, VNIT Nagpur
• Dean Research, VNIT, Nagpur
• BoS member in various NIT/IIIT/ engineering institutions

Memberships:

• Member of western Regional Committee of AICTE, Mumbai.
• Member of Engineering Evaluation and accreditation Committee for Tier-I institutes of NBA.
• Member of Shikhan Shulka Sameeti of Govt. of Maharashtra.
• Member of Academic Council of NITIE Mumbai.
• Member of Governing Council of western Regional Instrumentation Centre of UGC, university of Mumbai.
• Chancellor’s nominee on Executive Council of BATU, Lonere
• Amravati University, Member, RRC 2012- till date

• Visited Universities of South Africa, and Mauritius as a leader of delegation from VJTI, Mumbai, under TEQIP-II, to explore possibilities of Academic and Research Collaborations.
• As TEQIP II Coordinator at VNIT, Nagpur, worked with Procurement Management Support System first to use and get Procurement Plan Approved

• PhD in Parallel Computing from VNIT Nagpur (2017)
• M.E. in CSE from MGMCoE Nanded (2011)
• B. E. in Computer Technology form KITS Ramtek Nagpur (2003)

• 2022 to till date – Assistant Professor IIIT Nagpur
• 2020 to 2022 – Head of the Department & Assistant Professor IIIT Nagpur
• 2018 to 2020 – Assistant Professor IIIT Nagpur
• 2016 to 2018 – Assistant Professor SVPCET Nagpur
• 2007 to 2011 – Assistant Professor KITS Ramtek Nagpur
• 2005 to 2006 – Lecturer KITS Ramtek Nagpur

• 5th Sem CSE - Database Management Systems (2018-19, 2019-20, 2020-21,2021-22, 2022-23)
• 2nd Sem ECE – Data Structures (2021-22)
• 7th Sem CSE – Quantum Computing (2021-22, 2022-23)
• 4th Sem CSE - Algorithms (2018-19, 2019-20, 2022-23)

Link to IRINS/Vidwan Research Profile

Area of Research

• Deep Learning, Machine Learning
• Information Security, BlockChain
• Parallel Computing, Quantum Computing
• Data Science, Data Mining

Funded Research Project

• Research funding under EMEQ Scheme, SERB, India – Cost: 12,59,600/- Rupees. The title of project - “New Authentication Techniques for Telecare Medicine Information System”. Period: 2 Years.

Research Project

Reviewer for Journals / Conferences:

• The Imaging Science Journal, Taylor & Francis – SCI
• Computers, Materials & Continua – Tech Science Press - SCI
• International Journal of Engineering (IJE), Tehran, Iran
• IEEE Transactions on Dependable and Secure Computing – SCI
• Computers in Biology and Medicine - An International Journal – Elsevier – SCI
• Journal of The Institution of Engineers (India) – Series B – Springer
• Security and Privacy – Wiley
• CIT. Journal of Computing and Information Technology – University of Zagreb Faculty of Electrical Engineering and Computing
• Transactions on Computational Science – Springer
• Bulletin of Electrical Engineering and Informatics - Scopus
• Applied Science – MDPI - SCI
• Journal of the National Science Foundation (JNSF) - SCI
• Symmetry – MDPI - SCI

Internship Completed:

2019

• Saket Chaturvedi, PCE, Nagpur (Period: 2 Months)
  • Publication: S. Chaturvedi, Jitendra V. Tembhurne, Tausif Diwan, “A Multi-Class Skin Cancer Classification using Deep Convolutional Neural Networks”, Multimedia Tools and Applications, 79(39), pp. 28477-28498. (4th August 2020). Indexed in SCI. IF 2.7.
  • Pursuing PhD in Computer Science (Jan – 2021) at Michigan Technological University, Houghton, MI 49931, United States.

2020

• Anupama Hazarika, Tezpur University, Tezpur (Period: 2 Months)
  • Publication: Jitendra V. Tembhurne, Anupama Hazarika, Tausif Diwan, “BrC-MCDLM: Breast Cancer Detection Using Multi-Channel Deep Learning Model”, Multimedia Tools and Applications, 80(21), 31647-31670, 2021. (July 2021). DOI: 10.1007/s11042-021-11199-y. Indexed in SCI. IF 2.7.
• Moin Almin, Tezpur University, Tezpur (Period: 2 Months)
  • Publication: Jitendra V. Tembhurne, Md. Moin Almin and Tausif Diwan, “Mc-DNN: Fake News Detection using Multi-channel Deep Neural Networks”, International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-20, 2022. (Jan -2022). Doi: 10.4018/IJSWIS.295553. Indexed in SCI. IF 1.74.
  • Software Engineer at Zaloni Technologies India Pvt. Ltd., Assam, India (July - 2021)
• Tarun Saxena, IIIT Nagpur (Period: 2 Months)
  • Publication: Jitendra V. Tembhurne, Tarun Saxena and Tausif Diwan, “Identification of plant disease using multi-level classification deep model”, International Journal of Ambient Computing and Intelligence (IJACI), Volume 13, Issue 1, 2022. Indexed in SCI. IF 3.87.
  • Pursuing MS Artificial Intelligence (Sept – 2022)Northeastern University, Boston
• S. Arvind, IIIT Nagpur (Period: 2 Months)
  • S Arvind, Jitendra V. Tembhurne, Tausif Diwan, Parul Sahare, “Improvised Light Weight Deep CNN based U-Net for the Semantic Segmentation of Lungs from Chest X-Ray”, Results in Engineering, (2023): 100929. Indexed in SCOPUS. IF 4.06.

2021

• Nachiketa Hebbar, VIT University, Vellore (Period: 2 Months)
  • Jitendra V. Tembhurne, Nachiketa Hebbar, Hemprasad Patil, Tausif Diwan, “Skin Cancer Detection Using Ensemble of Machine Learning and Deep Learning Techniques”, Multimedia Tools and Applications, (2023). DOI:  https://doi.org/10.1007/s11042-023-14697-3. Indexed in SCI. IF 2.7.
• JDP Rithvik and B. Siva Anilkumar Reddy, VIT University, Vellore (Period: 2 Months)
  • Topic: Deep Learning for image steganography

Patents:

2021

Publications:

2023

• Dipak Wajgi, Jitendra V. Tembhurne, “Clustering Based RSSI and AOA combination for Localization in Wireless Sensor Networks”, International Journal of Communication Networks and Distributed Systems, Accepted, 2023. Indexed in SCOPUS. IF 1.54.
• Parul Sahare, Jitendra V. Tembhurne, Mayur R. Parate, Tausif Diwan and Sanjay B. Dhok, “Script independent text segmentation of document images using graph network based shortest path scheme”, International Journal of Information Technology, 9th March 2023. DOI: https://doi.org/10.1007/s41870-023-01230-w.
• Jitendra V. Tembhurne, Nachiketa Hebbar, Hemprasad Y. Patil, Tausif Diwan, “Skin Cancer Detection Using Ensemble of Machine Learning and Deep Learning Techniques”, Multimedia Tools and Applications, (2023). DOI: https://doi.org/10.1007/s11042-023-14697-3. 16th Feb 2023. Indexed in SCI. IF 2.7.
• Jitendra V. Tembhurne, Saurav M. Gajbhiye, Vedant R. Gannarpwar, Harshal R. Khandait, Purva R. Goydani, Tausif Diwan, “Plant Disease Detection Using Deep Learning Based Mobile Application”, Multimedia Tools and Applications, (2023). DOI: https://doi.org/10.1007/s11042-023-14541-8. 10th Feb 2023. Indexed in SCI. IF 2.7.
• S Arvind, Jitendra V. Tembhurne, Tausif Diwan, Parul Sahare, “Improvised Light Weight Deep CNN based U-Net for the Semantic Segmentation of Lungs from Chest X-Ray”, Results in Engineering, (2023): 100929. DOI: https://doi.org/10.1016/j.rineng.2023.100929. 7th Feb 2023. Indexed in SCOPUS. IF 4.06.

2022

• Saroj Panda, Tausif Diwan, O. G. Kakde, Jitendra V. Tembhurne, “Improvised Detection of Deepfake from Visual Inputs Using Light Weight Deep Ensemble Model”, Multimedia Tools and Applications, 1-18, December 2022. DOI: 10.1007/s11042-022-14307-8. Indexed in SCI. IF 2.7.
• Parul Sahare, Jitendra V. Tembhurne, Mayur R. Parate, Tausif Diwan and Sanjay B. Dhok, “Script-Independent Text Segmentation from Document Images”, International Journal of Ambient Computing and Intelligence (IJACI), 13(1), November 2022, Pages: 21. DOI: 10.4018/IJACI.313967. Indexed in SCOPUS. IF 3.87.
• Jitendra V. Tembhurne, Tarun Saxena and Tausif Diwan, “Identification of plant disease using multi-level classification deep model”, International Journal of Ambient Computing and Intelligence (IJACI), 13(1), September 2022, Pages: 21. DOI: 10.4018/IJACI.309408. Indexed in SCOPUS. IF 3.87.
• Tausif Diwan, G. Anirudh and Jitendra V. Tembhurne, “Object Detection using YOLO: Challenges, Architectural Successors, Datasets and Applications,” Multimedia Tools and Applications, 82, 9243–9275, 2023. (8th August 2022). DOI: https://doi.org/10.1007/s11042-022-13644-y. Indexed in SCI. IF 2.7.
• Tausif Diwan, Rohan Shukla, Ekta Ghuse, and Jitendra V. Tembhurne, “Model Hybridization & Learning Rate Annealing for Skin Cancer Detection”, Multimedia Tools and Applications, 82, 2369–2392 (2023). (23 June 2022). DOI: https://doi.org/10.1007/s11042-022-12633-5. Indexed in SCI. IF 2.7.
• Tausif Diwan and Jitendra V. Tembhurne, “Sentiment Analysis: A Convolutional Neural Network Perspective”, Multimedia Tools and Applications, 3 June 2022. DOI: https://doi.org/10.1007/s11042-021-11759-2. Indexed in SCI. IF 2.7.
• Jitendra V. Tembhurne, Md. Moin Almin and Tausif Diwan, “Mc-DNN: Fake News Detection using Multi-channel Deep Neural Networks”, International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-20, 2022. (January 2022). DOI: 10.4018/IJSWIS.295553. Indexed in SCI. IF 1.74

2021

• Vishesh P. Gaikwad, Jitendra V. Tembhurne, C Meshram, Cheng-Chi Lee, “An Efficient Provably Secure Verifier-based Three-Factor Authentication Technique using PDL for Data Exchange in TMIS”, IEEE Access, 9, 108586-108600, 2021. (July 2021). DOI:10.1109/ACCESS.2021.3101111. Indexed in SCI. IF 3.36.
• Jitendra V. Tembhurne, Anupama Hazarika, Tausif Diwan, “BrC-MCDLM: Breast Cancer Detection Using Multi-Channel Deep Learning Model”, Multimedia Tools and Applications, 80(21), 31647-31670, 2021. (July 2021). DOI: 10.1007/s11042-021-11199-y. Indexed in SCI. IF 2.3.
• Jitendra V. Tembhurne et al., “An effective mobile-healthcare emerging emergency medical system using conformable chaotic maps”, Soft Computing, 25(14): 8905-8920, 2021. (26th May 2021). Indexed in SCI. IF 3.05.
• Vishesh P. Gaikwad, Jitendra V. Tembhurne, C Meshram, Cheng-Chi Lee, “Provably Secure Lightweight Client Authentication Scheme with Anonymity for TMIS using Chaotic Hash Function”, The Journal of Supercomputing, 77, 8281–8304, 2021. (19th January 2021). DOI: https://doi.org/10.1007/s11227-020-03553-y. Indexed in SCI. IF 2.60.
• Jitendra V. Tembhurne et al., “A Provably Secure Lightweight Subtree-based Short Signature Scheme with Fuzzy User Data Sharing for Human-Centered IoT”, IEEE Access, 9, 3649-3659, 2021. (21st Dec 2020). DOI: 10.1109/ACCESS.2020.3046367. Indexed in SCI. IF 4.64.

2020

• Jitendra V. Tembhurne et al., “A Lightweight Provably Secure Digital Short Signature Technique using Extended Chaotic Maps for Human-Centered IoT Systems”, IEEE System Journal, pp. 1-9, 2020. (29th December 2020). DOI: 10.1109/JSYST.2020.3043358. Indexed in SCI. IF 3.98.
• Jitendra V. Tembhurne and Tausif Diwan, “Sentiment Analysis in Textual, Visual and Multimodal Inputs using Recurrent Neural Networks”, Multimedia Tools and Applications, 80(5), pp. 6871–6910, 2021. (22nd October 2020). DOI: 10.1007/s11042-020-10037-x. Indexed in SCI. IF 2.3.
• S. Chaturvedi, Jitendra V. Tembhurne, Tausif Diwan, “A Multi-Class Skin Cancer Classification using Deep Convolutional Neural Networks”, Multimedia Tools and Applications, 79(39), pp. 28477-28498, (4th August 2020). https://doi.org/10.1007/s11042-020-09388-2. Indexed in SCI. IF 2.3.
• Jitendra V. Tembhurne et al., “A Subtree-based Transformation Model for Cryptosystem using Chaotic Maps under Cloud Computing Environment for Fuzzy User Data Sharing”, International Journal of Communication Systems, 33 (7), e4307, February 2020. DOI: https://doi.org/10.1002/dac.4307. Indexed in SCI. IF 1.319.

2019

• Tausif Diwan, J. V. Tembhurne, “A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU”, CIT. Journal of Computing and Information Technology, Vol. 27, No. 2, June 2019, pp. 55–66. Indexed in SCOPUS. IF 0.44
• Kailash W Kalare, J. V. Tembhurne, “A Work Distribution Strategy for Global Sequence Alignment”, International Journal of Computing, Vol. 18, No. 1, April 2019, pp. 75-81. Indexed in SCOPUS. IF 1.44.

2018

• J. V. Tembhurne, S. R. Sathe, “Multi-Precision Integer Multiplication for Cryptosystems”, Advanced Science Letters, Vol. 24, No. 7, July 2018, pp. 5187-5193. Indexed in SCOPUS.

2016

• J. V. Tembhurne, S. R. Sathe, “New Modified Euclidean and Binary Greatest Common Divisor Algorithm”, IETE Journal of Research, Vol. 62, 2016, pp. 852-858. DOI: https://doi.org/10.1080/03772063.2016.1216809. Indexed in SCI. IF 1.030.

2015

• J. V. Tembhurne, S. R. Sathe, “Multiple Precision Integer GCD Performance Analysis on Parallel Architectures”, IAENG International Journal of Computer Science, Vol. 42, No. 4, 2015, pp. 1-9. Indexed in SCOPUS. IF 1.33.

National/ International Conferences

2022

• Sriram Dharwada, Jitendra Tembhurne and Tausif Diwan, “Multi-channel Deep Model for Classification of Alzheimer’s Disease Using Transfer Learning”, 18th International Conference on Distributed Computing and Intelligent Technology, 19th – 23rd January 2022, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India. Lecture Notes in Computer Science, vol. 13145. Springer, Cham. https://doi.org/10.1007/978-3-030-94876-4_17. Indexed in SCOPUS.

2020

• Kailash W. Kalare, Mohammad S. Obaidat, Jitendra V. Tembhurne, C Meshram, Kuei-Fang Hsiao, “Parallelization of Global Sequence Alignment on Graphics Processing Unit”, Int. Conf. on Communications, Computing, Cybersecurity, and Informatics 2020, CCCI-2020, 3rd – 5th November 2020, University of Sharjah, Sharjah, United Arab Emirates. DOI: 10.1109/CCCI49893.2020.9256747 Indexed in SCOPUS. (18th November, 2020)

2018

• J. V. Tembhurne, “Parallel Multiplication of Big Integer on GPU”, Communications in Computer and Information Science, Springer, Vol. 827, June 2018, pp. 276-285. DOI: https://doi.org/10.1007/978-981-10-8657-1_21 Indexed in SCOPUS, DBLP. IF 0.49
• Pathak, Abhishek D. and Tembhurne, Jitendra V., “Internet of Things: A Survey on IoT Protocols”, In Proc. of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3168575 or http://dx.doi.org/10.2139/ssrn.3168575. Indexed in SCOPUS.

2016

• Jitendra Tembhurne and S. R. Sathe, “RSA public-key Acceleration on CUDA GPU”, Advances in Intelligent Systems and Computing, Springer, Vol. 394, 2016, pp. 365-375. DOI: https://doi.org/10.1007/978-81-322-2656-7_33. Indexed in ISI Proceedings (Web of Science), SCOPUS. IF 0.57.

2014

• Jitendra Tembhurne and S. R. Sathe, “High throughput long integer multiplication using Fast Fourier Transform on parallel workstation,” 11th IEEE India Int. Conf. INDICON, pp. 1-6, Pune, India, Dec 2014. Indexed in SCOPUS, IEEE Xplore.
• Jitendra Tembhurne, S. R. Sathe,  “Performance Evaluation of  Long Integer Multiplication Using OpenMP and MPI on Shared Memory Architecture”, Seventh Int. Conf. on Contemporary Computing  (IC3 2014), pp. 283-288, Noida, India, August 2014. Indexed in SCOPUS, IEEE Xplore, DBLP.

2011

• Jitendra Tembhurne, Navin Kr. Trivedi, “Frequent Closed Pattern Mining by Constrained Gradient Approach”, 3rd Int. Conf. on Information Technology & Business Intelligence (ITBI-2011), Hyderabad, India.
• Jitendra Tembhurne, S. W. Shende, “Efficient Mining of Association Rules Using Linked List and Tries Based Apriori Algorithm”, IEEE Int. Conf. on Knowledge Engineering (ICKE-2011), Aurangabad, India.

Book Chapter:

2023

• Rakhi Wajgi, Jitendra Tembhurne, Hemant Pendharkar, Onkar Deshpande, “Localisation of brain tumor from brain MRI images using deep learning”, Recent Advances in Material, Manufacturing, and Machine Learning, 8 pages, CRC Press, April 2023, eBook ISBN – 9781003358596. DOI: https://doi.org/10.1201/9781003358596.  Indexed in SCOPUS.

2021

• Wajgi, Rakhi, Jitendra V. Tembhurne, and Dipak Wajgi. "Thoracic Image Analysis Using Deep Learning." Computational Intelligence and Healthcare Informatics (2021): 15-42. https://doi.org/10.1002/9781119818717.ch2. Indexed in SCOPUS. (October 2021).

M.E. / M. Tech

•  Major Samprati Jain & Major DVS Narendra, Major Naman Lakhotia MCTE, Mhow, MP

B.E. / B. Tech.

• More than 29 groups guided

PhD.

• Head of the Department CSE IIIT Nagpur
• Chairman BoS, CSE, IIIT Nagpur
• Chairman Website Design and Maintenance at IIIT, Nagpur
• Network Centre & IT Infrastructure In-charge at IIIT, Nagpur
• Chairman SC/ST Cell at IIIT, Nagpur
• Stock and Purchase Committee member at IIIT, Nagpur
• Tender Processing Committee member at IIIT, Nagpur
• Admission Committee member at IIIT, Nagpur

• Invited talk on "Application of Blockchain Technology for Healthcare" in One week online Induction / Refresher program on Future Aspects of Blockchain Technology and its Applications from 28^th January to 02^nd February, 2022 - Sponsored by AICTE-ISTE at S. B. Jain Institute of Technology, Management and Research, Nagpur.
• Invited talk on "Deep Learning & It’s Applications" in One week online Induction / Refresher program on Data Science and It’s Applications from 31^st December 2021 to 5^th January 2022 - Sponsored by AICTE-ISTE at Abha Gaikwad-Patil College of Engineering, Nagpur, India.
• Invited talk on "OpenMP, CUDA, MPI and RNNs" in One week online workshop on Parallel and Distributed Deep Learning (PDDL 2021) from 28^th June to 2^nd July 2021 - Sponsored by ATAL Academy at Indian Institute of Information Technology, Nagpur, India.
• Invited talk on "Fundamentals of Deep Learning" in One week online workshop on IoTCloud from 24^th to 28^th May 2021 - Sponsored by ATAL Academy at Indian Institute of Information Technology, Kottayam, India.
• Invited talk on "Parallel Programming: OpenMP and OpenMPI" in AICTE Sponsored One Week STTP on High Performance Computing using Parallel, Distributed and Cloud Computing (HPCPDC2) Phase – III  from 26^th April to 1^st May 2021 at Yeshwantrao Chavan College of Engineering, Nagpur, India.
• Invited talk on "Parallel Programming: OpenMP and OpenMPI" in AICTE Sponsored One Week STTP on High Performance Computing using Parallel, Distributed and Cloud Computing (HPCPDC2) Phase – II  from 22^nd to 27^th February 2021 at Yeshwantrao Chavan College of Engineering, Nagpur, India.
• Invited talk on "Parallel Programming: OpenMP and OpenMPI" in AICTE Sponsored One Week STTP on High Performance Computing using Parallel, Distributed and Cloud Computing (HPCPDC2) Phase – I  from 18^th to 23^rd January 2021 at Yeshwantrao Chavan College of Engineering, Nagpur, India.
• Organized and Coordinated One Week Online ATAL FDP on “Data Science & Analytics Using Python” from 30^th November 2020 to 4^th December, 2020 (Funding was approximately 1,00,000/- rupees).
• Invited talk on "Recurrent Neural Networks" in Two week online FDP on Emerging Trends in Deep Learning and its Applications Sponsored AQIS-2019 sponsored by AICTE, New Delhi from 7th to 18th December, 2020 at Dr. D. Y. Patil Institute of Technology, DPU, Pune.
• Invited talk on “Supervised & Unsupervised Learning, and Sequence Modeling & Applications" in One Week Online Workshop on "Data Science & Analytics Using Python" Sponsored by AICTE - ATAL Workshop Scheme from 30th Nov to 4th Dec, 2020 at IIIT, Nagpur.
• Invited talk on "Recurrent Neural Networks and LSTM" in One Week AICTE-ISTE Sponsored Online Induction/Refresher Programme on "Machine Learning and Pattern Recognition" Sponsored by AICTE - ATAL Workshop Scheme from 2nd to 7th November, 2020 at SSBT’s College of Engineering and Technology, Jalgaon, Maharashtra.
• Invited talk on "Introduction to OpenMP and OpenMPI" in One Week Online Workshop on "High Performance Computing using Parallel, Distributed and Cloud Computing (HPCPDC2)" Sponsored by AICTE - ATAL Workshop Scheme from 2nd to 6th November, 2020 at YCCE, Nagpur.
• Invited talk on "Introduction to Recurrent Neural Networks & Its Applications" in One Week Online Workshop on "Deep Learning Using pytorch" Sponsored by AICTE - ATAL Workshop Scheme from 12th to 17th September, 2020 at Rajalakshmi Institute of Technology, Chennai, India.
• Invited talk on "Recurrent Neural Networks and LSTM" in One Week Online Workshop on "Deep Learning & It’s Applications" Sponsored by AICTE - ATAL Workshop Scheme from 21st to 25th September, 2020 at Jyothy Institute of Technology, Karnataka, India.
• Invited talk on "Introduction to Artificial Neural Networks" in One Week Online Workshop on "Control Systems & Neuro-Fuzzy Applications" Sponsored by AICTE - ATAL Workshop Scheme from 21st to 25th September, 2020 at IIIT Nagpur.
•  

• PhD in Knowledge Management Systems from JUIT Solan (2013)
• M. Tech. in CSE from IIIT Allahabad (2005)
• B. E. in Computer Technology form RGPV Bhopal(2003)

• 2018 to till date – Assistant Professor IIIT Nagpur
• 2015 - 2018 - Assistant Professor IIIT Kota
• 2009 - 2015 - Assistant Professor JUIT Solan
• 2007 - 2009 - Software Engineer CSC India Pvt Ltd.
• 2005 - 2007 - Software Engineer IBM India Pvt Ltd.

• 4th Sem CSE - Software Engineering
• 3rd Sem CSE/ECE - Object Oriented Programming
• 1st Sem CSE/ECE - Computer Programming

Link to IRINS/Vidwan Research Profile

Area of Research

• Machine Learning
• Multi Agent Systems
• Knowledge Management Systems

• Research Project

• Weed removal using CNN

• Reviewer for Journal / Conference

• Joey Pinto Pooja Jain Tapan Kumar Jain Fault Prediction for Distributed Computing Hadoop Clusters Using Real-Time Higher Order Differential Inputs to SVM : Zedacross International Journal of Information and Computer Security (IJICS) October 2017
• Yash Sharma Gaurav Agrawal Pooja Jain Tapan Kumar Vector Representation of Words for Sentiment Analysis Using Glove International Conference on Intelligent Communication and Computational Techniques December 2017.
• Pinto Joey Pooja Jain and Tapan Kumar. "Hadoop cluster monitoring and fault analysis in real time." In International Conference on Recent Advances and Innovations in Engineering (ICRAIE) 2016 pp. 1-6. IEEE 2016
• Pinto Joey Pooja Jain and Tapan Kumar. "Hadoop distributed computing clusters for fault prediction." In Computer Science and Engineering Conference (ICSEC) 2016 International pp. 1-6. IEEE 2016.
•  

• PhD.

• Head of the Department CSE at IIIT Nagpur (July - 2018 to June - 2020)
• Faculty In-charge T&P IIIT Nagpur

• PhD in CSE from VNIT, Nagpur (2019), Specialization: Bioinformatics
• M. E. in CSE from GHRCE (2009)
• B. E. in Computer Engineering form RTMNU, Nagpur (2004)

• 30 Dec 2020-till date –  Assistant Professor, IIIT Nagpur
• 2018-28 Dec 2020– Adjunct Assistant Professor, IIIT Nagpur
• 2009 – 2014 – Associate Professor, SSGBCOET, Bhusawal
• 2006-2008 – Lecturer, PCE, Nagpur
• 2005-2006 – Trainee Software Engineer, Prism Software Ltd, Nagpur

• 7^th /8^th Sem CSE - Bioinformatics
• 4th Sem CSE – Operating System
• 3^rd Sem CSE - Computer System Organization
• 3^rd Sem CSE/ECE- IT Worksop

Link to IRINS/Vidwan Research Profile

Area of Research

• Bioinformatics
• Data Analysis
• Machine Learning

Research Project

• Ongoing: Collaborative Data Science work with CIIMS, Nagpur.
• Completed: Covid-19 research project on genomic analysis of Coronavirus and its correlation to immune system, approved by IIT Delhi Supercomputing facility.
• Complete:Computational characterization of genes in multiple cancers - This research focusses on detection of common genes in multiple cancer types using large scale data analysis

Reviewer for Journal / Conference

• IEEE Transactions on Computational Biology and Bioinformatics - IEEE
• Methods - Elsevier
• SNCI Computer Science

• R Makhijani, M Lende, U Thaware, R Sharma, K Zade - 2021, Prioritization of Regions for Covid Vaccinations Using Fuzzy Logic, 12^th International Conference on Computing, 2021.
• R Makhijani, Shubham Sagar, K. Bhanuprakash, 2022, Yoga Pose Rectification, International Conference on Computer Vision and Machine Intelligence (CVMI).
• Makhijani, R.K., Raut, S.A. and Purohit, H.J., 2018. Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression. Oncology Letters, 15(2), pp.1680-1690. (SCIE Indexed; Impact factor:1.5; https://doi.org/10.3892/ol.2017.7508))
• Makhijani, R.K., Raut, S.A. and Purohit, H.J., 2018. Fold change based approach for identification of significant network markers in breast, lung and prostate cancer. IET Systems Biology. (SCIE Indexed; Impact factor:1.01; DOI: 10.1049/ietsyb.2018.0012)
• Richa Makhijani, Shital A Raut. Characterization of top hub genes in breast and lung cancer using functional association, in Proc. of Int. Conf. of Soft Computing for Problem Solving (SocProc 2018), at VIT Vellore, to be published in SCOPUS indexed AISC series of Springer.

M. Tech

• Mr. Jadhav Hemantkumar B, NMU Jalgaon.
• Ms. Lavina Deepak Panjwani, NMU Jalgaon.
• Mr. Rahul Rajendra Singh, NMU Jalgaon.
• Ms. Bharambe Jayashri Vasudeo, NMU Jalgaon.
• Ms. Chaudhari Priya Arun, NMU Jalgaon.
• Ms. Rachana Nemade, NMU Jalgaon.

B.E / B.Tech

• Approximately 10 groups

PhD

• Internship Coordinator
• MOOC Coordinator
• Organizing Committee member in five days’ workshop on High Performance Computing (HPC) held on 14^th May 2018 to 18^th May 2018.
• Organizing Committee member in STTP on Biological Databases and Machine Learning in R   VNIT, Nagpur, 5-10 Dec 2016.
• Organizing Committee member at 81^st Annual Conference on THE INDIAN MATHEMATICAL SOCIETY, 27-30 DEC 2015.
• PG coordinator, CSE, SSGB COET, Bhusawal (2014-12).
• NBA coordinator, CSE, SSGB COET, Bhusawal(2012-13).
• Organized Workshop on Latex, at SSGB COET, Bhusawal,19-21 Oct 2012.

• Best paper award at International Conference SocPros 2018, held at Vellore Institute of Technology, Vellore, India.
• Conduction of Session on “Machine learning with R” in STTP on “Open Source Technologies” conducted on 26th Oct 18, at Rajiv Gandhi College of Engineering and Research, Nagpur.

• PhD in CSE (Wireless Sensor Networks) from VNIT, Nagpur (2018)
• M. Tech. in CSE from VNIT, Nagpur (2009)
• B. E. in CSE from Govt. College of Engineering, Amravati (2002)

• July 2019 - till date - Assistant Professor, IIIT, Nagpur
• 2009 - June 2019 - Assistant Professor, RCOEM, Nagpur
• 2005 - 2007 - Lecturer, PCE, Nagpur
• 2003 - 2005 - Teaching Assistant, VNIT Nagpur

5th Sem CSE - Computer Networks

Link to IRINS/Vidwan Research Profile

Area of Research

• Wireless Sensor Networks

• Nishat A. Ansari, Umesh A. Deshpande, and S. P. Mohammad. "An asynchronous algorithm for providing energy efficient coverage and connectivity in wireless sensor networks." In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1-6. IEEE, 2016, IISc Bangalore, indexed in dblp database.
• Nishat A. Ansari, Umesh A. Deshpande, Amit M. Tapas, and Anushka A. Jejani. "A distributed algorithm for object tracking in wireless sensor networks using data mining based prediction." In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2017, IIT Delhi, Scopus indexed.

• B.E. / B. Tech.
• Various B. Tech. level projects

Faculty Advisor 3rd year section A, CSE

• Life member of ISTE
• Top rank holder in M. Tech

• PhD in Energy Efficient Real Time Scheduling Algorithms from BITS, Pilani (2017)
• M. E. in Computer Science from BITS, Pilani (2009)
• B. E. in Computer Technology form RCERT, Chandrapur, Nagpur University (2001)

• 2019 to till date - Assistant Professor, IIIT, Nagpur
• 2017 - 2019, Assistant Professor (Visiting), Department of CSIS, BITS, Pilani
• 2010 - 2016, Lecturer, Department of CSIS, BITS, Pilani
• 2005 - 2009, Teaching Assistant, Department of CSIS, BITS, Pilani
• 2002, Lecturer, Computer Science Department, Bajaj Polytechnic College, Chandrapur

• Computer System Organization
• Operating System
• Mobile App Development using Android Programming
• Python Programming
• Advanced Computer Architecture
• 1st Semester CSE - Computer Programming (2019-2020)
• 5th Semester CSE - Real Time Systems (2019-2020)

Link to IRINS/Vidwan Research Profile

• Area of Research

• Operating Systems
  • Real Time Scheduling
  • Energy Efficient and Temperature Aware Scheduling
  • Multiprocessor/Multi-core Scheduling
  • Mixed Criticality Systems
• Homogeneous/Heterogeneous Computer Architecture
• Energy Optimization issues in Internet of Things

• Research Project
  • Project Title: Design and Development of a Mobile App Interface and a Smart Wearable Device for Awareness, Tracking and Alerting the Citizens to inculcate Improved Risk Understanding.
  • Funding Agency: Project grant received from DST under its scheme “YASH-2020”.
  • Fund Granted: 13,82,400
  • Team Members:
  • (1) Dr. Mayuri A. Digalwar (PI, CSE Department,IIIT, Nagpur)
  • (2) Dr. Rashmi Pandhare (Co-PI, ECE Department, IIIT, Nagpur)
  • (3) Dr. A. K. Digalwar (Co-PI, BITS, Pilani, Pilani Campus)

• Reviewer for Journal / Conference
• Journal of Computer Standards and Interface, Elsevier Publication

• Digalwar, M., Raveendran, B. K. & Mohan, S. (2017). LAMCS: A Leakage Aware DVFS based Mixed Task Set Scheduler for Multi-Core Processors. Journal of Sustainable Computing, Volume 15, September 2017, page no. 63-81. (Elsevier Publication, SCI Expanded).
• Digalwar, M., Gahukar, P., Raveendran, B. K. & Mohan, S. (2017). Energy efficient real-time scheduling algorithm for mixed task set on multi-core processors. International Journal of Embedded Systems, Vol. 9, No 6. (Inderscience Publications, SCOPUS Indexed)
• Vinita Tahiliani, Digalwar, M., (2018). Green IoT Systems: An Energy Efficient Perspective. Proc. of 11th IEEE Int. Conf. on Contemporary Computing (IC3 2018), (SCOPUS Indexed).
• Digalwar, M., Gahukar, P., & Mohan, S. (2018). Energy Efficient Real Time Scheduling on Multi-core Processor with Voltage Islands. 7th IEEE Int. Conf. on Advances in Computing, Communications and Informatics (ICACCI-2018). (SCOPUS Indexed).
• Deshpande, P, .Digalwar, A. & Digalwar, M. (2018). Application of Industrial IoT in Manufacturing Industry for Predictive Maintenance: A Survey. In Proc. of 12th ISDSI 2018 Int. Conf., Mumbai, India. Dec 2018.
• Digalwar, M., Gahukar, P., Mohan, S. & Raveendran, B. K. (2015). STREAM: A Simulation Tool for Energy Efficient Real Time Scheduling and Analysis. Proc. of Int. Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS) in conjunction with 27th Euromicro Conf. on Real Time Systems (ECRTS), Lund, Sweden. July 2015 (Indexed in Web of Science).
• Digalwar, M., Gahukar, P., & Mohan, S. (2014). Design and development of a real time scheduling algorithm for mixed task set on multi-core processors. Proc. of 7th IEEE Int. Conf. on Contemporary Computing (IC3 2014), pp. 265-269. (SCOPUS Indexed).
• Digalwar, M., Mohan, S., & Raveendran, B. (2013). Dynamic voltage and frequency scaling scheduling algorithm for mixed t

• PhD.
• Ms. Kanlyani Pendke (Broad Research Area:  Data Analytics)
• Ms. Shilpa Ghode ( Broad Research Area: Data Analytics)
• Ms. Roma Goel ( Broad Research Area: Data Analytics)
• Mr. Eknath Kulkarni ( Broad Research Area: IoT and Data Analytics)
• Mr. Dinesh Tundalwar ( Broad Research Area: IoT and Data Analytics)
• M. Tech.
• Design and Development of an IoT based Mobile app for Cab Scheduling and Booking Systems (Year 2018-19)
• Study and analysis of energy optimization issue in the embedded devices in IoT based Systems.
• Design and development of a Simulation Tool called "STREAM" for implementing energy efficient real time scheduling algorithms. (Year 2014-15)
• B.E. / B. Tech.
• Study and Implementation (in Verilog) of ARM Processor
• Study of Energy Aware Real Time Scheduling Algorithms for Multiprocessor Systems
• Study and analysis of memory organization of series of Intel Architecture
• Study of ISA and micro architecture of Pentium II processor

Faculty Advisor 1st year section A, CSE

• PhD in CSE from VNIT, Nagpur (2018)
• M.Tech. in Computer Engineering from College of Engineering, Pune (2007)
• B. E. in CSE from SGGS Institute of Engineering and Technology, Nanded (2001)

• July 2019 - till date - Assistant Professor, IIIT Nagpur
• 2017 - 2019 -Associate Professor, MIT School of Engineering, MIT ADT University, Pune
• 2012 -2017- Associate Professor, MIT College of Engineering, Pune, SPPU
• 2007 - 2012 -Assistant Professor, MIT College of Engineering, Pune
• 2003-2007 -Lecturer, MIT College of Engineering, Pune

• CSE Sem-VII and VIII: Distributed Computing Systems (2020-21)
• CSE Sem IV: Design Principles of Programming Languages (2020-21, 2019-20)
• CSE Sem-III: Object-Oriented Programming (2020-21)
• CSE SEM-III: Microprocessor and Interfacing (2019-2020)

Link to IRINS/Vidwan Research Profile

Area of Research

• Delay Tolerant Networks/ Vehicular Delay Tolerant Networks
• Mobile Social Networks
• Machine Learning
• Operating System
• Distributed System

Reviewer for Journal / Conference

• Reviewer for IEEE Access Journal.
• Reviewer for IEEE Transactions on Vehicular Technology Journal.
• Reviewer for International Journal of Communication Systems, Wiley

• Reviewer for IEEE 4th International Conference On Computing, Communication, Control And Automation 16^th to 18^th Aug 2018

• Penurkar, M.R., Deshpande, U.A. Social characteristics-based routing algorithm for a mobile social network. Computing (2020). https://doi.org/10.1007/s00607-020-00843-4, Indexed in SCI.
• Ayare P., Sachdeo R., Penurkar M. (2020) Product Sentiment Analysis Using Natural Language Understanding. In: Bansal J., Gupta M., Sharma H., Agarwal B. (eds) Communication and Intelligent Systems. ICCIS 2019. Lecture Notes in Networks and Systems, vol 120, pp 123-135 Springer, Singapore.
• Milind R. Penurkar and Umesh A. Deshpande, “Conhis: Contact history-based routing algorithm for a vehicular delay tolerant network”, Proceedings of Annual IEEE India Conference (INDICON), Pune, India, pp. 1-6, 4
• Milind R. Penurkar and Umesh A. Deshpande,“Max-Util: A Utility-Based Routing Algorithm for a Vehicular Delay Tolerant Network Using Historical Information”, Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics in Smart Innovation, Systems and Technologies, Springer, India, Vol. 44, pp. 587-598, 2015.
• Milind R. Penurkar and Umesh A. Deshpande, “OPPRES: OPPortunistic Routing algorithm for routing messages in Emergency Situations using Vehicular Delay Tolerant Network”, Proceedings of IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), IISC, Bangalore, India, pp. 1-6, 2016.
• Milind R. Penurkar and Umesh A. Deshpande, “Priority-based scheduling policy for a Hybrid Routing algorithm in a Vehicular Delay Tolerant Network”, Proceedings of International Conference on Computing, Analytics and Security Trends (CAST), Pune, India, pp. 578-583, 2016.
• Peeyush Patil and Milind Penurkar, “Congestion avoidance and control in Delay Tolerant  Networks”, IEEE, International Conference on Pervasive Computing (ICPC), pp. 1-5, 2015.
• Peeyush Patil and Milind Penurkar, “Congestion avoidance and control in DTN”, IEEE International Conference on Energy Systems and Applications, pp.755-760, 2015.
• Tushar Bhotmange and Milind Penurkar, “Region-Based Routing in  Delay Tolerant Networks”, IEEE International Conference on Computing Communication Control and Automation (ICCUBEA), Pune, India, pp. 315-321, 2015

B.E. / B. Tech.

• More than 20 projects supervised

M.E./ M. Tech.

• More than 15 projects supervised

PhD

• In-charge UG Admission Committee 2020-21
• Member of Institute Grievance Committee (2020-21)
• Member MIS Implementation/Networking/Website Management Committee (2020-21, 2019-20).
• Dept. B.Tech. Projects Coordinator (2020-21, 2019-20).
• Faculty Advisor 3^rd year section A, CSE (2020-21)
• Faculty Advisor 2nd year section A, CSE (2019-20)

• Invited talk on “Decision Trees and Its Applications” in online Faculty Development Program (FDP) Emerging Trends in Deep Learning and its Applications” sponsored by AICTE, New Delhi organized by Department of Computer Engineering, DR. D. Y. PATIL INSTITUTE OF TECHNOLOGY, Pune (20^th Dec. - 31^st Dec. 2020).
• Invited talk on “Decision Trees and Its Applications” in online Faculty Development Program (FDP) Sponsored by AICTE - ATAL online Faculty Development Program (FDP) on  Data Science Using Python (Nov. 30 - Dec 4, 2020)  at IIIT Nagpur 
• Invited talk on "Learning Decision Trees" in One Week Online FDP on "Artificial Intelligence" Sponsored by AICTE - ATAL online Faculty Development Program (FDP) on Artificial Intelligence (May 16 - May 20, 2020)  at IIIT Nagpur 
• Invited talk on "Learning Decision Trees" in One Week Online FDP on "Data Sciences " Sponsored by AICTE - ATAL online Faculty Development Program (FDP) on Artificial Intelligence (May 11 - May 15, 2020)  at IIIT Nagpur

• PhD from NIT Raipur in 2021
• M. Tech from NIT Raipur in 2021
• B.E. in I.T. from MPCCET Bhilai in 2006

• Lecturer in MPCCET from 2007-2009
• Assistant Professor in CCET from 2011-2017
• Assistant Professor in IIIT Pune from Jan’2022-June’2022
• Assistant Professor in IIIT Nagpur from July’2022 to till date

• Computer Network

• Cloud Robotics
• Networking

International Journal

1. Kaushlendra Sharma, Mrs. Varsha Singh “Adaption of Proactive Measure for Improving Performance Throughput of TCP”, IJCSE 2011.
2. Kaushlendra Sharma “A Comprehensive Report on Piracy and Proposed Resolution to Reduce Loss Effect”, ISNCESR 2015, BHILAI, IJERT Volume-3 Issue-20
3. Kaushlendra Sharma, Rajesh Doriya, “Path planning for robots: an elucidating draft”. International Journal of Intelligent Robotics and Applications, Published, Springer (ESCI, Scopus).
4. Kaushlendra Sharma, Shikha Singh, Rajesh Doriya, Optimized cuckoo search algorithm using tournament selection function for robot path planning”. Published, International Journal of Advanced Robotics System, Sage (SCIE, IF:1.48).
5. Kaushlendra Sharma, Rajesh Doriya, “Coordination of Multi-Robot Path Planning for Warehouse Application using Smart Approach for identifying Destinations”. Published, Intelligent Service Robotics, Springer (SCIE, IF: 1.54.)
6. Kaushlendra Sharma, Mimansha Saini, Rajesh Doriya, “Robots on the Cloud: A new perspective for robotics applications”. Under Review, MICPRO, Elsevier (SCIE, IF: 1.16).
7. Kaushlendra Sharma, Rajesh Doriya, “A Hybrid Approach to Optimize Robots Path Planning”. Under Review, Evolutionary Intelligence, Springer (ESCI, Scopus).
8. Kaushlendra Sharma, Rajesh Doriya, “Path Planning for Robots using Cloud Computing Platform”. Under Review, Journal of Intelligent and Robotics System, Springer (SCIE, IF: 2.29).
9. Kaushlendra Sharma, Mimansha Saini, Rajesh Doriya, “Cloud based Multi-RobotPath Planning and Coordination Techniques for Robots using Cloud Task Scheduling using PMW Algorithm”. Under Review, Intelligent Service Robotics, Springer (SCIE, IF: 1.54).

International Conferences

1. Kaushlendra Sharma, Mrs. Varsha Singh, Rakesh Tripathi “Comprehensive Analysis of TCP”, IEEE-ICCSIT CHENGDU CHINA, 2011.
2. Kaushlendra Sharma, Mrs. Varsha Singh “Analysis and Report on Congestion Control Behavior of TCP Versions", WECON-2011, CHITKARA UNIVERSITY, CHANDIGARH.
3. Kaushlendra Sharma, Rajesh Doriya, “Compendium depiction on the application of cloud robotics for the reclamation of mankind”. ICDIS-2018, Springer Book Chapter Vol-38, PP-253-262.
4. Kaushlendra Sharma, Rajesh Doriya, Explication of Cloud computing platform concatenated with robotics. CONFLUENCE-2018, IEEE Conference PP-556-559.
5. Kaushlendra Sharma, Rajesh Doriya, Reducing Traverse Space in Path Planning using Snake Model for Robots. ICCCS-2019 Italy, IEEE Conference.
6. Shikha Singh, Kaushlendra Sharma, Rajesh Doriya, “Minimizing computation time for robot path planning using improvised cuckoo search algorithm”. ICAECT- 2020, Springer Book Chapter PP-199-209.
7. Mimansha, Kaushlendra Sharma, Rajesh Doriya, “Path selection using Improvised distance based target selection for multi robot system”. ICMSMT-2021 IEEE Conference.
8. Shivani Gupta, Kaushlendra Sharma, Rajesh Doriya, “Path Planning for robots using Modified Genetic Algorithm using EC2”. ICESC-2021, IEEE Conference.
9. Shireen Rafat Alam, Kaushlendra Sharma, Rajesh Doriya, “Rolling window Algorithm for Robots Path Planning Using AWS”. ICESC-2021, IEEE Conference.

National Conferences

1. Mrs. Varsha Singh, Kaushlendra Sharma “Parametric Concept of TCP Clones”, NCPES-2011, KOTA RAJASTHAN.

• Ph. D. from IIIT-Allahabad, Prayagraj (2021)
• M. Tech from IIIT-Allahabad, Prayagraj (2016)
• B. Tech from G.B.T.U (2012)

• July 2022 onwards currently working as an Assistant Professor at IIIT-N, Maharashtra, India.
• Jan 2022-June 2022 Taught “Fundamental of Data Analytics (Data Structure)” as a temporary Faculty capacity, IIIT-Allahabad, Prayagraj, Uttar Pradesh, India.
• August 2020-June 2022 Post-Doctoral Fellow, Project: GenomeIndia: “Cataloguing the Genetic Variation in Indians”, IIIT-Allahabad, Prayagraj, Uttar Pradesh, India.

• 3^rd Sem : Data Structures with Applications
• 5^th Sem: Database management systems

• Algorithm Design
• Computational Biology
• Machine learning

5. Rahul Semwal*, Mausami Mondal*, Utkarsh Raj*, Imlimaong Aier, Pritish Kumar Varadwaj. An Entropy Based Classification of Breast Cancerous Genes Using Microarray Data. Neural Computing and Applications.  32,  2397-2404  [*Authors  having  equal contribution]
6. Rahul Semwal,Viswajit Mulpuru, Pritish Kumar Varadwaj and Nidhi Mishra. HAMP: A Knowledgebase of Antimicrobial Peptides from Human Microbiome. Current Genomics. doi: 10.2174/1574893615999200802041228
7. Anju Sharma, Rajnish Kumar, Imlimaong Aier, Rahul Semwal, Pankaj Tyagi, and Pritish Varadwaj. Sense of smell: Structural, functional, mechanistic advancements and challenges in human olfactory research. Current neuropharmacology 17, no. 9 (2019): 891-911.
8. Rahul Semwal, Imlimaong Aier, Utkarsh Raj, Pritish Kumar Varadwaj. Pharmadoop: A Tool For Pharmacophore Searching Using Hadoop Frame Work. Network Modeling and Analysis in Health Informatics and Bioinformatics (Springer). 6(1), 20. Scopus and ESCI indexed
9. Rahul Semwal, Imlimaong Aier, Anju Sharma and Pritish Kumar Varadwaj. In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocarcinoma. Journal of Biomolecular Structure and Dynamics, pp.1-9.
10. Rahul Semwal, Imlimaong Aier, Utkarsh Raj and Pritish Kumar Varadwaj Aier. Comparative modeling and structure based drug repurposing of PAX2 transcription factor for targeting  acquired chemoresistance in pancreatic ductal adenocarcinoma. Journal of  Biomolecular Structure and Dynamics, 39(6), pp.2071-2078.
11. Rahul Semwal, Imlimaong Aier, A. Dhara, Nirmalya Sen and Pritish Kumar Varadwaj. An integrated epigenome and transcriptome analysis identifies PAX2 as a master regulator of drug resistance in high grade pancreatic ductal adenocarcinoma. PloS one, 14(10), p.e0223554.
12. Rahul Semwal, Imlimaong Aier, Anju Sharma and Pritish Kumar Varadwaj. A systematic assessment of statistics, risk factors, and underlying features involved in pancreatic cancer. Cancer epidemiology, 58, pp.104-110.
13. Rahul Semwal, Utkaesh Raj, Imlimaong Aier, and Pritish Kumar Varadwaj. Identification of novel dysregulated key genes in Breast cancer through high throughput ChIP-Seq data analysis. Scientific reports, 7(1), pp.1-11.

Conference:

1. Rahul Semwal, Imlimaong Aier, Pritish Kumar Varadwaj, Salva Antsiperov. PROcket, an Efficient Algorithm to Predict Protein Ligand Binding Site. IWBBIO 2019. Lecture Notes in Computer Science, vol 11465. Springer, Cham. https://doi.org/10.1007/978-3-030-17938-0_40. Scopus indexed.

• Got First Rank Merit Certificate in M.Tech - PhD Program at IIIT-A.
• Member of Teaching assistant in CoMP-Py-2021 Program at IIIT-A.
• Teaching Instructor in Python Training for PGT (CS) of Navodaya Vidyalaya Samiti at IIIT-A.

• PhD in CSE from IIIT, Nagpur(2022), Specialization: Smart Grids
• M.Tech. in CSE from G. H. R. C. E., Nagpur (2011)
• B. E. in Information Technology form Shri Ramdeobaba College of Engineering, Nagpur (2008)

• 2018 to till date – Adjunct Assistant Professor of Practice, IIIT Nagpur
• 2015 – 2018 – Assistant Professor, R. C. O. E. M., Nagpur
• 2014 – 2015 - Assistant Professor, P. B. C. O. E., Nagpur
• 2012 – 2013 - Assistant Professor, P. C. E., Nagpur
• 2010 – 2011 - Assistant Professor, R. C. O. E. M., Nagpur
• 2008- 2009 - Assistant Professor, K.D. K., Nagpur.

• 1^st Sem CSE - Computer Programming (2018-2019 and 2020-2021)
• 2^nd Sem ECE - Data Structures (2018-2019)
• 6^th Sem CSE - Business Intelligence (2018-2019)
• 3^rd Sem CSE - Object Oriented Programming (2019-2020)
• 3^rd Sem CSE – IT Workshop I (2020-2021 and 2021-2022)
• 4^th Sem CSE – Design Principals of Programming Languages (2021-2022)
• 5^th Sem CSE - Theory of Computation (2019-2020 and 2020-2021)
• 6^th Sem CSE – Compilers (2019-2020, 2020-2021 and 2021-2022)

Link to IRINS/Vidwan Research Profile

Area of Research

• Smart Microgrids
• Natural Language Processing

Publications

• Khushboo Jain, Meera Dhabu, Omprakash Kakde, “Energy Scheduling in a Hybrid Network of Multi-Microgrids”, Indian Journal of Computer Science and Engineering, Vol. 12, No. 6, 1588-1600.

• Khushboo Jain, Meera Dhabu, Omprakash Kakde et al. , “Completely fair energy scheduling mechanism in a smart distributed multi-microgrid system”, Journal of King Saud University – Computer and Information Sciences, https://doi.org/10.1016/j.jksuci.2021.08.002

• Khushboo. A. Jain, P. Mishra, L. Arora, M.S. Kotian, “Hardware Interaction using Hand Gestures”, Journal on Computer Science and Engineering(IJCSE), Vol-6, Issue-5, May-2018.

• Khushboo Thakkar, Urmila Shrawankar, “Text Categorization and Text Summarization for Topic Tracking”, International Journal on Science and Technology (IJSAT), Volume II, Issue II, page 68-74, Apr-June 2011.

• Khushboo Thakkar, Urmila Shrawankar, “Test Model for Text Categorization and Text Summarization”, International Journal on Computer Science and Engineering (IJCSE), Vol.3 No. 4 Apr 2011.

• Khushboo Thakkar, Dr. R. V. Dharaskar, M. B. Chandak, “Graph-Based Algorithms for Text Summarization”, Third International Conference on Emerging Trends in Engineering and Technology(ICETET 2010).

• Khushboo Thakkar, Dr. R. V. Dharaskar, M. B. Chandak, “Using Text Summarization for Deriving Features of the Text”, Proceedings of RTCIP-2010 at KITS, Ramtek.

• K. Thakkar, Dr. R. V. Dharaskar, M. B. Chandak, “Identification and Analysis Tools For Digital Forensics”, National Conference on Data Warehousing & Data Mining (MINEWARE).

• Khushboo. A. Jain, P. Mishra, L. Arora, M.S. Kotian, "Hardware Interaction using Hand Gestures", Journal on Computer Science and Engineering(IJCSE), Vol-6, Issue-5, May-2018.
• Khushboo Thakkar, Urmila Shrawankar, "Text Categorization and Text Summarization for Topic Tracking", International Journal on Science and Technology (IJSAT), Volume II, Issue II, page 68-74, Apr-June 2011
• Khushboo Thakkar, Urmila Shrawankar, "Test Model for Text Categorization and Text Summarization", International Journal on Computer Science and Engineering (IJCSE), Vol.3 No. 4 Apr 2011
• Khushboo Thakkar, Dr. R. V. Dharaskar, M. B. Chandak, "Graph-Based Algorithms for Text Summarization", Third International Conference on Emerging Trends in Engineering and Technology(ICETET 2010)

Supervision

• PhD.

• M. Tech.

• B.E. / B. Tech.

• Incharge of “Green Campus” development at IIIT, Nagpur
• Time-Table In-charge of CSE at IIIT, Nagpur
• Project Co-ordinator of CSE at IIITN, Nagpur
• Faculty advisor of Section C of 2020 batch students

• Guest Lecture on “Design Patterns” at JIT, Nagpur in 2014
• Guest lecture on “COBOL Programming” at N.I.T., Nagpur in 2010

• PhD in IT from IIIT Allahabad (2020)
• M.Tech. in IT from IIIT Allahabad (2015)
• B. Tech in IT form RGTU (2009)

• January 2020 to till date – Adjunct Assistant Professor, IIIT Nagpur

• 4th Sem ECE – Android Programming (IT Workshop)
• 4th Sem CSE – Discrete Mathematics and Graph Theory
• 4th Sem CSE- Software Engineering
• 5th Sem CSE – Theory of Automata
• 7th Sem CSE- Cloud computing
• 6^th Sem CSE- Big data and analytics

Link to IRINS/Vidwan Research Profile

Area of Research

• Big data and analytics
• Internet of Things
• Wireless Sensor Network
• Data Mining
• Machine Learning
• Data Science

     Reviewer for Journal / Conference

• Reviewer of IEEE Transactions on Network Science and Engineering
• Reviewer of IEEE Journal of Communications and Networks
• Reviewer of IEEE Transactions on Computational Social Systems
• Reviewer of IEEE System Journal
• Reviewer of Wireless Personal Communication Springer

• Kumar Shishupal, Lal, Nidhi, and Vijay Kumar Chaurasiya. “An Energy efficient IPv6 Packet Delivery Scheme for Industrial IoT over G.9959 Protocol based Wireless Sensor Network (WSN)” Computer network Elsevier, 2019. DOI: 10.1016/j.comnet.2019.03.001.
• Kumar, Shishupal, and Vijay Kumar Chaurasiya. "A strategy for elimination of data redundancy in internet of things (IoT) based wireless sensor network (wsn)." IEEE Systems Journal 13, no. 2 (2018): 1650-1657.
• Kumar, Shishupal, and Vijay Kumar Chaurasiya. "A multisensor data fusion strategy for path selection in Internet‐of‐Things oriented wireless sensor network (WSN)." Concurrency and Computation: Practice and Experience 30, no. 18 (2018): e4477.
• Kumar, Shishupal, Nidhi Lal, and Vijay Kumar Chaurasiya. "A forwarding strategy based on ANFIS in internet-of-things-oriented wireless sensor network (WSN) using a novel fuzzy-based cluster head protocol." Annals of Telecommunications 73, no. 9-10 (2018): 627-638. DOI: https://doi.org/10.1007/s12243-018-0656-1.
• Lal, Nidhi, Shishupal Kumar, and Vijay Kumar Chaurasiya. "A Network-Coded Caching-Based Multicasting Scheme for Information-Centric Networking (ICN)." Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2019): 1-12. DOI: https://doi.org/10.1007/s40998-018-0171-4.
• Lal, Nidhi, Shishupal Kumar, and Vijay Kumar Chaurasiya. "An efficient update strategy for content synchronization in Content-Centric Networking (CCN)." China Communications 16, no. 1 (2019): 108-118.
• Lal, Nidhi, Shishupal Kumar, and Vijay Kumar Chaurasiya. "An adaptive neuro-fuzzy inference system-based caching scheme for content-centric networking." Soft Computing (2018): 1-12. DOI: https://doi.org/10.1007/s00500-018-3105-1.
• Lal, Nidhi, Shishupal Kumar, and Vijay Kumar Chaurasiya. “A Road Monitoring Approach with Real-time Capturing of Events for Efficient Vehicles Safety in Smart City” Wireless Personal Communication , Springer, 2020.
• Lal, Nidhi, Shishupal Kumar, Garima Kadian, and Vijay Kumar Chaurasiya. "Caching methodologies in Content centric networking (CCN): A survey." Computer Science Review 31 (2019): 39-50. DOI: https://doi.org/10.1016/j.cosrev.2018.11.001

• Faculty advisor of 2^nd year
• Training and Placement In-Charge

• Ph.D. in CSE from MANIT Bhopal (2022)
• M. Tech. in CSE from MANIT Bhopal (2014)
• B.E. in Information Technology from SATI Vidisha (2010)

• September 26, 2022 to till date - Assistant Professor, IIIT Nagpur
• August 02, 2022 to September 23, 2022 - Assistant Professor, MANIT Bhopal
• July 2021 to July 2022 - Assistant Professor, Oriental Institute of Science & Technology Bhopal

• 3^rd Sem CSE, B.Tech.  - Database Management System (2022-23)
• 6^th Sem CSE, B.Tech. - Compiler Design (2021-2022)
• 7^th Sem CSE, B.Tech. – Data Mining and Warehousing (2021-2022)

Area of Research:

• Machine Learning
• Data Mining
• Time Series Prediction

Journal Publication:

1. Anil Kumar Kushwah, Rajesh Wadhvani. Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models. Multimedia Tools and Applications, Vol. 81, Issue 4, pp. 33927–33953, April 2022. (SCIE, IF: 2.577)
2. Mh Asif Kamal, Manasi Gyanchandani, Anil Kumar Kushwah. A novel time series data clustering approach for wind speed forecasting. Wind Engineering, Vol. 46, Issue 4, pp. 1281-1290, February 2022. (SCOPUS Indexed)
3. Anil Kumar Kushwah, Rajesh Wadhvani. Data Complexity based Hybrid Approach to Select Model for Wind Speed Forecasting. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, April 2021. (SCIE, IF: 2.902)
4. Anil Kumar Kushwah, Rajesh Wadhvani. Discrete Wavelet Transforms based Hybrid Approach to Forecast Wind Speed Time Series. Wind Engineering, Vol. 45, Issue 6, pp. 1623-1635, March 2021. (SCOPUS Indexed)
5. Varsha Kushwah, Rajesh Wadhvani, Anil Kumar Kushwah. Trend-based time series data clustering for wind speed forecasting. Wind Engineering, Vol. 45, Issue 4, pp. 992-1001, June 2020. (SCOPUS Indexed)
6. Anil Kumar Kushwah, Rajesh Wadhvani. Performance Monitoring of Wind Turbine using Advanced Statistical Methods. Sadhana, Vol. 44, Issue 7, pp. 1-11, 2019. (SCIE, IF: 1.214)

Book chapter Publication:

1. Akhil Vendra, Rajesh Wadhvani, Manasi Gyanchandani, Anil Kumar Kushwah. Clustered Based Hybrid Approach for Wind Speed Forecasting. Proceeding of Data Analytics and Management, Springer, Vol. 90, pp. 587-598, 2022. (SCOPUS Indexed)
2. Anil Kumar Kushwah, Rajesh Wadhvani, Varsha Kushwah. Statistical Time Series Models for Wind Speed Forecasting. Studies in Computational Intelligence (High-Performance Vision Intelligence), Springer, Vol. 913, pp. 233-243, 2020. (SCOPUS Indexed)

• Qualified UGC-NET 3 times from 2013 to 2015.
• Qualified GATE 8 times from 2011 to 2018. 

• Ph.D. in Computer Science and Engineering from MANIT, Bhopal (2019)
• M. Tech in Computer Science and Engineering from MANIT, Bhopal (2010)
• B. Tech in Computer Science from RGPV Bhopal (2008)

• September 2022 onwards - Working as an Assistant Professor, Dept. of CSE, IIIT Nagpur
• January 2022 to August 2022 - Assistant Professor, Dept. of CSE, IIIT Bhopal
• July 2018 to June 2021 - Assistant Professor, Dept. of CSE, MANIT, Bhopal
• August 2010 to August 2013 - Assistant Professor, Dept. of CSE, GGITM, Bhopal

Area of Research:

• • Cognitive Radio Networks
  • Wireless and Ad hoc Networks
  • Internet of Things
  • Advanced Computer Networks
  • Computer and Network Security

Reviewer for Journals:

• • Peer to Peer Networking and Applications – SCI
  • International Journal of Computing and Digital Systems – SCOPUS
  • Bulletin of Electrical Engineering and Informatics - SCOPUS

Journals

• A. S. A. Ukey and M. Chawla, "On Maximizing Blind Rendezvous Probability in Cognitive Radio Ad Hoc Networks," Lecture Notes in Electrical Engineering, vol. 546, Springer, Singapore, 2019, pp. 149-159.
• A. S. A. Ukey and M. Chawla, “Rendezvous in cognitive radio ad hoc networks: a survey," In International Journal of Ad Hoc and Ubiquitous Computing, vol. 29(4), pp. 233-254, 2018.
• A. S. A. Ukey and M. Chawla, "Spectrum aware clustering in cognitive radio ad hoc networks," In International Journal of Engineering & Technology, vol. 7 (2.30), pp. 27-32, 2018.
• M. Chawla, A. S. A. Ukey, and P. Reshma, "Comprehensive asynchronous symmetric rendezvous algorithm in cognitive radio networks," Sādhanā- Academy Proceedings in Engineering Sciences, vol. 42(11), pp. 1825-1834, 2017.
• A. S. A. Ukey, M. Chawla, and V. P. Singh, "I-2ACK: Preventing Routing Misbehavior in Mobile Ad hoc Networks," In: International Journal of Computer Applications, vol. 62(12), 2013.
• A. S. A. Ukey and M. Chawla, “Detection of packet dropping attack using improved acknowledgement based scheme in MANET," In: International Journal of Computer Science Issues, vol. 7(4), pp. 12-17, 2010.

Conferences

• A. S. A. Ukey and M. Chawla, "Unique-ID based channel hopping rendezvous algorithm for cognitive radio ad hoc networks," In: International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), Bhopal, 27-29 Oct. 2017, pp. 529-536.
• A. S. A Ukey and Meenu Chawla, "A Survey on Clustering Algorithms in Cognitive Radio Ad hoc networks," In: International Conference on Make in India: New Technologies, New Paradigms, Bhopal, January, 2016.
• A. S. A. Ukey and M. Chawla, “New Approach for Detection of Routing Misbehavior in MANET," In: Recent Trends and Challenges in Internet Technology (RTCIT 2010), Bhopal, 2010.

• Ph.D. in CSE from Indian Institute of Technology Bombay (2019)
• M.Tech. in IT from International Institute of Information Technology Bangalore (2014)
• B.Tech. in CSE from University Institute of Engineering and Technology Kanpur (2012)

• Oct 2022 till present - Assistant Professor in CSE at IIIT Nagpur
• Aug 2019 to July 2022 - Assistant Professor in CSE at Centre for Advanced Studies Lucknow

• International Research Experience: Joint Ph.D. from Indian Institute of Technology Bombay, and Monash University Australia, sponsored by Infosys Ltd.
• Industrial Research Experience:

            June 2017 to July 2017 - Internship at Infosys Research Lab, Bangalore

            Dec 2013 to June 2014 - Internship at Accenture Technology Lab, Bangalore

• Computer Programming to CSE-I-B and CSE-I-AIML
• AI Ethics & Society to CSE-I-AIML

Google Scholar: https://scholar.google.com/citations?user=qlNAuQMAAAAJ&hl=en&oi=ao

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57190030539

Research area of interest:

• Software Engineering
• Software Architecture
• Machine Learning
• Applications of Machine Learning in Software Engineering/ Applications of Software Engineering in Machine Learning

2016

• Vrinda Yadav, Rushikesh K. Joshi, Sea Ling. “Process Edification for Traceability in Evolving Architectures.” ACM India Software Engineering Conference 2016. 99-108 DOI: https://doi.org/10.1145/2856636.2856650

2018

• Vrinda Yadav, Suman Roy, Rushikesh K. Joshi. “Patterns for Process Edification in Process-Aware Information Systems.” IEEE International Conference in Services Computing 2018. 161-168 DOI: 10.1109/SCC.2018.00028
• Vrinda Yadav, Rushikesh K. Joshi, Sea Ling. “A Tool for Traceable Evolution of Process Architectures.” IEEE International Conference on Software Architecture Companion 2018. 101-106 DOI: 10.1109/ICSA-C.2018.00035

2019

• Vrinda Yadav, Rushikesh K. Joshi, Sea Ling. “Evolution Traceability Roadmap for Business Processes.” ACM Innovations in Software Engineering Conference 2019. 20:1-20:5 DOI:10.1145/3299771.3299790

2020

• Vaibhav Tiwari, Chandrasen Pandey, Ankita Dwivedi, Vrinda Yadav. “Image Classification using Deep Neural Network.” IEEE International Conference on Advances in Computing, Communication Control, and Networking. 730-733 ICAC3N 2020 DOI:10.1109/ICACCCN51052.2020.9362804
• Rohit Kumar Pathak and Vrinda Yadav. "Improvised Progressive Neural Network (iPNN) for Handling Catastrophic Forgetting." 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). 143-148 IEEE, 2020. DOI:10.1109/ICESC48915.2020.9156028
• Shikha Rani, Manoj Kaushik, Vrinda Yadav. “Identifying Mood in Music using Deep Learning.” International Conference on Recent Trends in Advanced Computing 2020. Springer Lecture Notes in Electrical Engineering. DOI:10.1007/978-981-16-6448-9_55 pages 571-578
• Neha Sengar, Akriti Singh, Vrinda Yadav. “Classification of Documents using Bidirectional Long Short-Term Memory Recurrent Neural Network.” International Conference on Soft Computing and Signal Processing 2020. Springer Advances in Intelligent Systems and Computing. DOI 10.1007/978-981-33-6912-2_14 pages 149-156
• Manoj Kaushik, Shikha Rani, Vrinda Yadav. “Vocalist Identification in Audio Songs using Convolutional Neural Network.” Frontiers of Research in Speech and Music 2020. Springer Advances in Intelligent Systems and Computing. DOI:10.1007/978-981-33-6881-1_9 pages 99-108
• Rohit Kumar Pathak, Mohit and Vrinda Yadav. "Handling SQL Injection Attack Using Progressive Neural Network." International Conference on Information, Communication and Computing Technology. Springer, Singapore, 2020. DOI: 10.1007/978-981-15-9671-1_20 pages 231-241 Springer Communications in Computer and Information Science
• Vedant Singh and Vrinda Yadav. "Survey of Blockchain Applications in Database Security." Advances in Distributed Computing and Machine Learning. Springer, Singapore, 2020. 147-154. DOI:10.1007/978-981-15-4218-3_15 Springer Lecture Notes in Networks and Systems

2021

• Divyanshu Singh, Mansi Bhatnagar and Vrinda Yadav. “PDF Classification using Logistic Regression and Latent Dirichlet Allocation.” International conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications 2021. DOI:10.1007/978-981-16-6407-6_36  Springer  Lecture Notes in Networks and Systems. pages 399-407
• Nishat Fatima and Vrinda Yadav “Fish Species Classification Using Convolutional Neural Networks” (Accepted) Springer International Conference on Intelligent computing and Security: A Paradigm Shift (IICS-2021)

2022

• Nishat Fatima and Vrinda Yadav “Detection of Pathological Myopia in Fundus Images using Machine Learning” (Accepted) Springer International Conference On Signal & Data Processing (ICSDP 2022)
• Neha Sengar, Nishat Fatima and Vrinda Yadav “Auto Organizer: A Machine Learning based Tool for Automatic Organization of Files” (Accepted) Springer International Conference On Signal & Data Processing (ICSDP 2022)
• Tapesh Kumar, Aditya Tiwari and Vrinda Yadav "Early Detection of Parkinson’s Disease Using Convolutional Neural Network," 5th International Conference on Computational Intelligence and Communication Technologies (CCICT), 2022, pages 178-183, DOI 10.1109/CCiCT56684.2022.00043.
• Mimansha Singh and Vrinda Yadav "Abstractive Text Summarization Using Attention-based Stacked LSTM," 5th International Conference on Computational Intelligence and Communication Technologies (CCICT), 2022, pages 236-241, DOI 10.1109/CCiCT56684.2022.00052.
• Mimansha Singh and Vrinda Yadav “Survey of Machine Reading Comprehension” (Accepted) IEEE 4th International Conference on Inventive Research in Computing Applications ICIRCA 2022
• Tapesh Kumar, Puneet Kumar Yadav and Vrinda Yadav “Detection of Brain Tumor using CNN” (Accepted) IEEE 4th International Conference on Inventive Research in Computing Applications ICIRCA 2022
• Aditya Tiwari, Neha Sengar and Vrinda Yadav “Next word prediction using deep learning” (Accepted) 2022 IEEE International Conference on Computing, Power, and Communication Technologies (GUCON)

• 6 M.Tech. Dissertations in CSE at Centre for Advanced Studies Lucknow

               Vedant Singh, and Rohit Kumar Pathak in 2020

               Aditya Tiwari, Nishat Fatima, Mimansha Singh, and Tapesh Kumar in 2022

• Faculty Advisor of CSE-I-DSA

• PhD in CSE from VNIT Nagpur (2022), Specialization: Quantitative Finance
• M. Tech. in CSE from RTMNU Nagpur (2013)
• B. E. in Computer Engineering form RTMNU Nagpur (2008)

• October 2022 to till date - Assistant Professor, IIIT Nagpur
• August 2022 to October 2022 - Assistant Professor, Symbiosis Institute of Technology, Nagpur
• September 2021 to July 2022 - Assistant Professor, Bajaj Institute of Technology, Wardha
• August 2013 to December 2017 - Assistant Professor, RGCER, Nagpur

• First Semester Section-C, CSE, Computer Programming(2022-2023)
• First Semester CSE, DSA, Computer Programming(2022-2023)
• First Semester CSE, HCIG, Introduction to HCI (2022-2023)

Area of Research:

• Machine Learning
• Quantitative Finance
• Theoretical Computer Science

Reviewer for Journals:

• Expert Systems with Applications- SCIE
• IEEE Access- SCIE

Journals

• J.B. Chakole, MS Kolhe, GD Mahapurush, A Yadav, MP Kurhekar, “A Q-learning agent for automated trading in equity stock markets” Expert Systems with Applications 163, 113761, 2021. Indexed in SCIE. IF 8.66
• J. Chakole, M Kurhekar, “Trend following deep Q‐Learning strategy for stock trading“, Expert Systems 37 (4), e12514, 2020. Indexed in SCIE. IF 2.81

Conferences

• J. Chakole, MP Kurhekar, “Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading“, CIKM Workshops, 2021. Indexed in SCOPUS.
• Jagdish B. Chakole, S.M. Jambhulkar, Praful R. Pardhi,“A Secure Approach for Web Based Internet Voting System using Multiple Encryption” in the IEEE International Conference on Electronic Systems, Signal ocessing and Computing Technologies, Nagpur, India,2014. Publisher IEEE, DOI: https://doi.org/10.1109/ICESC.2014.70. Indexed in SCOPUS.

Faculty Advisor first year, CSE, AIML

1. PhD in CSE VNIT, Nagpur (2019) Specialization: Parallel Computing.

2. M. Tech in CSE specialization in IT (2015)

3. B. E. in Computer Engineering

1. 23 Dec 2022 – till date – Assistant Professor, IIIT Nagpur

2. 02 Nov 2020 to 13 Dec 2022 – Assistant Professor VIT AP

3. 20 Nov 2019 to 01 Nov 2020 – Senior Parallel Computing Architect BrainGrid Technologies Pvt. Ltd.

4. 10 Aug 2018 to 19 Nov 2021 – Assistant Professor, WCE Sangli

1.Pikle, N.K., Sathe, S.R. & Vyavhare, A.Y. GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review. Sādhanā 43, 111 (2018).

2. Pikle, N.K., Sathe, S.R. & Vyavahare, A.Y. High performance iterative elemental product strategy in assembly-free FEM on GPU with improved occupancy. Computing 100, 1273–1297 (2018).

3. Pikle, N.K., Sathe, S.R. & Vyavahare, A.Y.  Accelerating the finite element analysis of functionally graded materials using fixed-grid strategy on CUDA-enabled GPUs

4. Pikle, N.K., Sathe, S.R. & Vyavahare, A.Y. Low occupancy high performance elemental products in assembly free FEM on GPU. Engineering with Computers 38 (Suppl 3), 2189–2204 (2022).

1. Mentored Winning team of Smart India Hackathon 2022.

2. Certified CUDA programming instructor under NVIDIA DLI program

• PhD in CSE from VNIT, Nagpur (2022)
• M.Tech in IT from National Institute of Technology Karnataka, Surathkal (2017)
• B.Tech in IT from Govt. College of Engineering Amravati (2011)

• April 2023 to till date– Assistant Professor, IIIT Nagpur.
• January 2023 to April 2023– Adjunct Assistant Professor, IIIT Nagpur.
• September 2022 to December 2022 – Assistant Professor, RCOEM Nagpur.
• September 2011 to August 2015– Systems Engineer, TCS Mumbai.

• Natural Language Processing
• Machine Learning
• Data Structure with Applications
• Data Structures

Google Scholar: https://scholar.google.co.in/citations?user=--5zzoIAAAAJ&hl=en

Area of Research

• Natural Language Processing
• Machine Learning
• Data Analytics

Journals

• Bhopale, Amol P., and Ashish Tiwari. “Transformer Based Contextual Text Representation Framework for Intelligent Information Retrieval" Expert Systems with Applications (2023): SCIE. IF 8.5
• Bhopale, Amol P., and Ashish Tiwari. "Leveraging Neural Network Phrase Embedding Model for Query Reformulation in Ad-hoc Biomedical Information Retrieval" Malaysian Journal of Computer Science 34, no. 2 (2021): 151-170. SCIE IF: 0.723
• Bhopale, Amol P., and Ashish Tiwari. "Swarm optimized cluster based framework for information retrieval" Expert Systems with Applications 154 (2020): 113441. SCIE. IF 8.5

Conferences:

• Amol Bhopale, SanskarZanwar, AaryaBalpande, &JaweriaKazi. (2023). Optimised Cluster-based Approach for Healthcare Data Analytics. International Journal of Next-Generation Computing, 14(1). https://doi.org/10.47164/ijngc.v14i1.1011
• Bhopale, Amol P., Sowmya Kamath, and Ashish Tiwari. “Concise Semantic Analysis based Text Categorization using Modified Hybrid Union Feature Selection Approach”, 4th IEEE International Conference on Recent Advances in Information Technology (RAIT 2018), IIT Dhanbad, March 2018
• Bhopale, Amol P., and S. Sowmya Kamath. “Novel Hybrid Feature Selection Models For Unsupervised Document Categorization”, 6th International Conference on Advances in Computing, Communications and Informatics (ICACCI), Manipal University Karnataka, September 2017.

Book Chapters:

• Bhopale, Amol P., and Ashish Tiwari. "An Application of Transfer Learning: Fine-Tuning BERT for Spam Email Classification." In International Conference on Machine Learning and Big Data Analytics, pp. 67-77. Springer, Cham, 2021.
• Bhopale, Amol P., and Ashish Tiwari. "Spark‐Enhanced Deep Neural Network Framework for Medical Phrase Embedding." Machine Learning Algorithms and Applications (2021): 289-304. Wiley Publications.
• Bhopale, Amol P., and Sowmya Kamath Shevgoor. "Temporal topic modeling of scholarly publications for future trend forecasting." In International Conference on Big Data Analytics, pp. 144-163. Springer, Cham, 2017.

PhD. 3 Ongoing

• Institute Exam Committee Member, IIITN

• Invited talk on “NLP Techniques in Apache Spark” in two week  STTP On “Exploring Latest trends in Big Data & Machine Learning”  from 23^rd  May 2022 to 02^nd  June 2022 at P.R. Pote College of Engineering and Management Amravati.
• Invited talk on “Understanding Word Embedding using Neural Network” in one week  STTP On “ Unleashing the Potential of Data Science for Engineers”  from 07^th June 2021 to 11^th June 2021 at P.R. Pote College of Engineering and Management Amravati.
• Invited talk on “Data Analytics using Python” in one week  STTP On “IoT and Big Data”  from 18^th June 2018 to 27^th June 2018 at P.R. Pote College of Engineering and Management Amravati.

Ph.D. in Computer Science  from ISI-WB, Kolkaka (Dec 2022)                       

M.Tech in IT from IIEST, Shibpur (July 2014)

B.Tech in CSE from Govt. College of Engg. & Textile Technology, Berhampore (June 2009)

• Assistant Professor (Full Time)   May 2023 – Present

Computer Science  and Engg. Dept, IIIT NAGPUR

• Assistant Professor (Full Time)     Aug 2022 – April 2023

School of Computer Science, University of Petroleum & Energy Studies ENERGY ACRES, UPES, BIDHOLI, via, Prem Nagar, Uttarakhand 248007

• Senior Research Fellow (Full Time)  July 2018 - July 2022 

Electronics and Communication Sciences Unit, Indian Statistical Institute B.T.ROAD, Kolkata, West Bengal.

• Junior Research Fellow (Full Time)  July 2016 - July 2018

Electronics and Communication Sciences Unit, Indian Statistical Institute B.T.ROAD, Kolkata, West Bengal

• Project Linked Personal (Full Time)   April 2016 - July 2016

Machine Intelligence Unit, Indian Statistical Institute B.T.ROAD, Kolkata, West Bengal

• Junior Research Fellow (Full Time)    April 2015- April 2016

Center for soft computing research, Indian Statistical Institute B.T.ROAD, Kolkata, West Bengal

• Project Linked Personal (Full Time) July 2014 - March 2015

Machine Intelligence Unit, Indian Statistical Institute B.T.ROAD, Kolkata, West Bengal

• Faculty (Part Time) Feb 2012 - Nov 2013

Vision-N-Voice Educare Society Jadavpur, Kolkata, West Bengal

• Research Officer (Full Time) Aug 2009-Aug 2010

Suprava Panchoshila Mohila Uddyog Samity Berhampore, West Bengal

• 3^rd Sem CSE: OOPS (2023)
• 1^st Sem CSE:  INTRODUCTION TO GAMING(2023)

• Image Processing
• Pattern Recognition
• Machine Learning
• Data Mining

International Conferences

1. S. Das, S. J. Choudhury, A.K. Das, J. Sil: “Selection of graph-based features for character recognition using similarity based feature dependency and Rough set theory” in Recent Advances in Information Technology, Springer India (2014), pp. 57-64.
2. S.J.Choudhury and N.R. Pal: "Classification of incomplete data using autoencoder and evidential reasoning" in IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 167-177. Springer (2019)
3. A. Bhattacharya, S. Bhose andS.J.Choudhury: “Classification of Incomplete Data using AugmentedMLP” in International Conference for Advancement in Technology (ICONAT), pp. 1-5, IEEE (2023).

International Journal

1. S. J. Choudhury and N. R. Pal, "Deep and Structure-Preserving Autoencoders for Clustering Data with Missing Information", IEEE Transactions on Emerging Topics in Computational Intelligence, 2019.
2. S.J. Choudhury and N.R. Pal, "Imputation of missing data with neural networks for classification", Knowledge-Based Systems, 182:104838, 2019, ISSN 0950-7051, doi: https:// doi.org/ 10.1016 /j.knosys. 2019.07.009.
3. S.J. Choudhury and N.R. Pal, "Classification of incomplete data integrating neural networks and evidential reasoning", Neural Computing and Applications, 2021.
4. S. J. Choudhury and N. R. Pal, "Fuzzy Clustering of single-view incomplete data using a multi-view framework", IEEE Transactions on Fuzzy Systems, 2022.

• PhD in CSE from IIT Bombay (2020)
• M.Tech in Information and Communication Technology from IIT Jodhpur (2013)
• B.Tech in Information and Communication Technology from DAIICT, Gandhinagar (2011)

• August 2023 to till date – Assistant Professor, IIIT Nagpur
• May 2022 to July 2023 – Program Manager, Jodhpur City Knowledge and Innovation Foundation
• February 2020 to February 2022 – Young Faculty Associate, IIT Jodhpur

• TBD

• Mobile and Pervasive Systems
• Intelligent Transportation Systems

• Ravi Bhandari, Akshay Uttama Nambi, Venkata N. Padmanabhan, and Bhaskaran Raman. “Driving Lane Detection on Smartphones using Deep Neural Networks.” ACM Transactions on Sensor Networks (TOSN) 16, no. 1 (2020): 1-22.

• Ravi Bhandari, Bhaskaran Raman, and Venkat Padmanabhan. “FullStop: A Camera-Assisted System for Characterizing Unsafe Bus Stopping.” IEEE Transactions on Mobile Computing (2019).

• Ravi Bhandari, Bhaskaran Raman, K. K. Ramakrishnan, Deepthi Chander, Naveen Aggarwal, Divya Bansal, Mahima Choudhary, Nisha Moond, Aneesh Bansal, and Megha Chaudhary. “CrowdLoc: Cellular Fingerprinting for Crowds by Crowds.” ACM Transactions on Sensor Networks (TOSN) 14, no. 1 (2018): 1-36.

Selected Conferences

• Chugh, G., Chakraborty, S., Bhandari, R., & Chakraborty, S. (2023, June). Exploring Earables to Monitor Temporal Lack of Focus during Online Meetings to Identify Onset of Neurological Disorders. In 2023 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (pp. 126-137). IEEE.

• Tiwari, Saurabh, Ravi Bhandari, and Bhaskaran Raman. "Roadcare: a deep-learning based approach to quantifying road surface quality." Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies. 2020.

• Nambi, Akshay Uttama, Shruthi Bannur, Ishit Mehta, Harshvardhan Kalra, Aditya Virmani, Venkata N. Padmanabhan, Ravi Bhandari, and Bhaskaran Raman. “Hams: Driver and driving monitoring using a smartphone.” ACM Mobicom (Demo), 2018.

• Ravi Bhandari, Akshay Uttama Nambi, Venkata N. Padmanabhan, and Bhaskaran Raman. “DeepLane: camera-assisted GPS for driving lane detection.” In Proceedings of the 5th Conference on Systems for Built Environments (ACM BuildSys), pp. 73-82. 2018.

• Ravi Bhandari, Bhaskaran Raman, and Venkata N. Padmanabhan. “FullStop: Tracking unsafe stopping behaviour of buses.” In 2018 10th International Conference on Communication Systems & Networks (COMSNETS), pp. 65-72. IEEE, 2018.

• Co-guiding PhD student Shubham Sharma, IDRP IoT, IIT Jodhpur

• PhD in CSE from IIIT, Nagpur (2022)
• M.E(Mobile Technology) in CSE from GHRCE, Nagpur (2013)
• B. E. in Computer Engineering form RTM Nagpur University, Nagpur (2009)

• July 2021 to till date - Adjunct Assistant Professor on Practice, IIIT Nagpur
• 2014 - 2021 - Assistant Professor, PBCOE, Nagpur
• 2013 - 2014 - Assistant Professor, KDK, Nagpur
• 2010 - 2013 - Assistant Professor, PBCOE, Nagpur

• 1st Sem CSE - Computer Programming (2021-2022)
• 6thSem CSE –Compiler (2021-2022)

Link to IRINS/Vidwan Research Profile

Area of Research

• Information Security
• Machine Learning
• Deep Learning

SCI/SCIE Journals:

• V. P. Gaikwad, et al ., “Provably Secure Lightweight Client Authentication Scheme with Anonymity for TMIS using Chaotic Hash Function”, The Journal of Supercomputing. Accepted for publication. DOI: https://doi.org/10.1007/s11227-020-03553-y. Indexed in SCI. IF 2.60.
• V. P. Gaikwad, et al. , "An Efficient Provably Secure Verifier-Based Three-Factor Authentication Technique Using PDL for Data Exchange in TMIS," in IEEE Access, vol. 9, pp. 108586-108600, 2021, doi: 10.1109/ACCESS.2021.3101111. Indexed in SCIe. IF 4.64.

International Conferences:

• V. P. Gaikwad, et al. , "Figure-Ground Segmentation using object oriented descriptor," 2016 IEEE International Conference on Engineering and Technology (ICETECH), 2016, pp. 223-226, doi: 10.1109/ICETECH.2016.7569246.

• PhD.: Nil
• M. Tech.: Nil
• B.E. / B. Tech.: Nil

• NIRF Committee Member at IIIT Nagpur
• NEP Committee Member at IIIT Nagpur
• Member, Hostel Level Anti Ragging Squad

• Received Fellowship from Visvesvaraya Ph.D. Scheme through the Ministry of Electronics and Information Technology (MeitY) by the Government of India under Grant MEITY-PHD-3039
• GATE (CSE) qualified in the year 2012 and 2021 respectively.
• National Eligibility Test -2018 Exam Qualified
• Life Member, ISTE

• M.E.(WCC) From PCE,Nagpur, R.T.M.N.U,Nagpur,(2014).
• M.B.A.(ITM) From R.T.M.N.U,Nagpur,(20011).
• B.E.(IT) From WCE,Sangli,Shivaji University,Kohlapur,(2007).

• Aug 2021 to till date - Adjunct Assistant Professor on Practice, IIIT Nagpur.
• Aug 2020 – Aug -2021-Assistant Professor G.H.R.S.B.M., Nagpur.
• Aug 2019- May 2020 - Assistant Professor S.B.J.I.T.M.R., Nagpur.
• April 2015 – Aug 2019 - Assistant Professor, GNIET, Nagpur.

• CSE Sem IV: Design Principles of Programming Languages (2021-22).
• CSE Sem IV:  Design and Analysis of Algorithms (2021-22).
• CSE Sem IV - IT Workshop-II (2021-2022).

Area of Research

• Big data and analytics
• Software Engineering
• Wireless Sensor Network
• Data Mining
• Machine Learning
• Data Science

• ”Survey on Portrai out-painting” International Conference on Innovation In Engineering Sciences,Management and Technology(ICIESMT-2019) at SBJITMR,Nagpur.
• ”Enhancing pattern recolonization social networking dataset by using bisecting kMean”IEEE Sponsored 2017 International Conference on Intelligent Computing and Control at Karpgam College Of Engineering, Coimbatore,India.
• Intelligent Agents based System for Personalized Information processing in Web Data Mining International Conference on Recent Trends and Innovations in Engineering & Technology-2013

P.H.D-Nil

M.Tech-Nil

B.Tech-Nil

• NIRF Member IIIT,Nagpur
• NEP Member,IIIT Nagpur

• Pursuing PHD at IIIT Nagpur
• M.E. (CSE) from SGBAU , Amravati (2015)
• B.TECH. (CSE) from GCOEA (2013)
• DIPLOMA (CSE) from GPA(2010)

• August 2021 to till date – Adjunct Assistant Professor IIIT Nagpur
• 2019-2020 Assistant Professor , DBACER, Nagpur
• 2015-2019 Assistant Professor, PRPCEM, Amravati

• 4^th  Sem CSE-Software Engineering(2021-22)
• 3^rd Sem CSE-Object Oriented Programming(2021-22)
• 1^st Sem ECE-Computer Programming (2021-22)
• 2^nd Sem ECE-Application Programming(2021-22)

Area of Research

• Machine Learning, Data analytics

• Paper published in, IJAIEM (International Journal of Application or Innovation in Engineering  & Management ) on the topic “A Survey on different attacks on mobile devices & its security”.
• Paper published in IJETTCS (International Journal of Emerging Trends &Technology in Computer Science) on the topic of “Mobshield: Analysis for mobile applications using cloud computing with data mining”
• Participated in national Level Conference on “Trends in Computer Science and ICT” held at HVPM College of Engineering & Technology, Amravati.
• Participated in 3^rdInternational Conference held at IBSS  college of engg. Amravati , in association with international journal of pure & applied research in engg. & tech and presented on topic of “Analyzing Mobile applications Security”
• Paper published in IJRITCC (International Journal on Recent and innovation Trends in Computing and Communication) on the topic of “A Review on Preventing Professional Network by Using Human Behavioural Activity Log”

• Member of Departmental Exam Committee
• Member of Admission Committee at IIITN

• Pursuing PhD in CSE from IIIT, Nagpur
• M.tech in CSE from RTMNU (2015)
• B. E. in CSE from RTMNU (2010)

• August 2021 to till date – Adjunct Assistant Professor, IIIT Nagpur
• June 2012 to July 2021 – Assistant Professor , SCET Nagpur

• 6^th sem CSE – Cryptography and Network Security
• 3^rd sem CSE – Data structures with Applications
• 1^st Sem CSE – Application Programming
• 1^st Sem ECE- Computer Programming
• 5^th sem CSE – Computer Networking Laboratory (2021-22)

• “A survey on transportation Crime Control System”, International Journal of Advanced research in Computer and communication engineering, June 2021, vol. 10, Issue 6.
• “Design and Implementation of Interactive Projector Screen Handling with Hand Gesture”, International Journal of Advanced research in Computer and communication engineering, November 2019, vol. 8, Issue 11.
• “An efficient System For transmission of data over network using QKD”, International journal of Analytical, Experimental and Finite Element Analysis, March 2019, ISSN 2394-5141, Vol. 6 Issue 1,
• “Remote Data Back-up and privacy preserving Data Distribution in Cloud: A review”, International Journal of Computer Science And Mobile Applications, November, 2014, ISSN: 2321-8363, Vol.2 Issue. 11,pg. 159-162
• “Data Security and Privacy in Cloud using RC6 Algorithm for Remote Data Back-up Server”, International Conference & Journal of Engineering Science & Advanced Technology, ISSN 2250:3676, Volume-5, Issue-2, 149-153
• “Remote Data Back-up and Privacy Preserving Data Distribution in the Cloud”, International Journal Of Engineering Sciences & Research Technology, 15 July 2015, Vol 4.(7), Pg. 780-788ISSN: 2277-9655
• “Creation of Cloud for Remote Data Back-up Server”, International Conference on Emerging Trends in Computer Engineering, 22-23rd April 2015

• PhD.: Nil
• M. Tech.: Nil
• B.E. / B. Tech.: Nil

• Faculty Advisor (batch 2021)
• Institute NIRF committee member.
• Admission Committee member at IIIT Nagpur

• Ph.D (CSE) (2023)-IIIT Nagpur
• M.Tech (CSE) (2012)- Shri Ramdeobaba College of Engineering and Management,Nagpur.
• B.E. (IT) (2008)- Shri Ramdeobaba College of Engineering and Management,Nagpur

• 1st Nov 2022 – 2nd January 2023- Assistant Professor,Shri Ramdeobaba College of Engineering and Management,Nagpur.
• 20th July 2021 – 31st July 2022- Adjunct Assistant Professor, Visvesvaraya National Institute of Technology, Nagpur.
• 10th June 2013 – 10 April 2017- Assistant Professor,Vishwakarma Institute of Information Technology,Pune.
• 10th June 2009 – 31st Dec 2012- Assistant Professor, Jhulelal Institute of Technology, Nagpur, Maharashtra.
• 10th Oct 2008 – 5th Jan 2009- Technical Associate,Tech Mahindra, Pune, Maharashtra.

• Programming Language C
• Data Structures
• Theory of Computation
• Operating Systems
• Mobile application development

Natural Language Processing, Speech Processing, Machine Learning

1. Neha Kasture, Pooja Jain. “An approach for Correcting the Word-level Mispronunciations for non-native English-speaking Indian Children”, Journal of Intelligent & Fuzzy Systems, IOS Press. [SCIE]
2. Neha Kasture, Dr. Pooja Jain,Comparative Study of Speaker Recognition Techniques in IoT Devices for Text Independent Negative Recognition, Scalable Computing: Practice and Experience 21 (3), 359-368
3. Neha Kasture,Influences of Deep Learning on Recommendation Systems, Helix Vol. 8(6): 4340- 4344, DOI 10.29042/2018-4340-4344
4. Neha R. Kasture & Avinash Agrawal, A supervised word sense disambiguation method using ontology and context knowledge. ComputerEngineering&IntelligentSystems,ISSN2222-1719(Paper)ISSN2222-2863(Online) ,Vol3,No.8,2012
5.  N.R.Kasture, NehaYargal, NehaSingh, Neha Kulkarni & VijayMathur A Surveyon methods of Abstractive Text Summarization.Volume-1,Issue- 6,November-2014, e-ISSN:2349-7610
6. Neha Kasture, Poonam Bhilare, An approach for sentiment analysis onsocialnetworkingsites.978-1-4799-6892-3/15$31.00,2015IEEE390,DOI10.1109/ICCUBEA.2015.82
7. Neha R.Kasture & Avinash Agrawal,Graph based algorithms for word  sense induction and disambiguation.SEEKDigitalLibrary, 2012,ISBN:978-981-07-1847-3.

• PhD in Chart Image Interpretation from IIITR (2022)
• M.Tech. in CSE from GHRCE Nagpur (2015)
• B. E. in CSE from SBJAIN Nagpur (2013)

• Jan 2023 to till date – Adjunct Assistant Professor IIITN
• July 2022- Dec 2022 - Assistant Professor RCOEM Nagpur
• 2018 to 2022 – Teaching Assistant IIITR
• 2015 – 2017 – Assistant Professor JDCOEM Nagpur

• 4th Sem CSE – IT Worksop
• 2^nd Sem CSE – Applications Programming

Area of Research

• Image Summarization;
• Assistive Interaction;
• Document Processing and Analysis;
• Computer Vision

1. P. Mishra, S. Kumar, M. K. Chaube, “Assistive Accessible Charts forVisually Impaired Students: An Automated Learning System.” 36th Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence - AI for Education, Vancouver, Canada. Washington, 2022.
2. P. Mishra, U. Shrawankar, “Human Vs. Machine Eye for Graph Visualization” 10^th IEEE Region 10 Symposium. IIT Bombay, India, 2022.
3. P Mishra, S Kumar, M. K. Chaube, U Shrawankar, “ChartVi: Charts Summarizer for Visually Impaired”, Elsevier Journal of Computer Languages, 2022.
4. P Mishra, S Kumar, M. K. Chaube, “Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research Issues”, Special Issue of Springer Multimedia Tools and Applications, 2022.

Received grant for IEEE Region 10 Symposium (TENSYMP) from “IEEE Bombay Section”

• PhD - CSE from VNIT, Nagpur (2023)
• M. Tech – CSE from NIT Goa (2017)
• B. Tech – IT from COEP, Pune (2015)

January 4, 2023 to till date - Adjunct Assistant Professor, CSE, IIIT Nagpur

• Data Mining
• Data Structures
• Operating System
• Application Programming
• Python, Android

Area of Research

• Smart grid
• Optimization
• Data Mining

• Amit Shewale, Anil Mokhade, et al.  “An Overview of Demand Response in Smart Grid and Optimization Techniques for Efficient Residential Appliance Scheduling Problem”, Energies, MDPI, 13(16), 2020. (SCIE Indexed; Impact factor: 2.702)
• Amit Shewale, Anil Mokhade, et al. “A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes”, Energies, MDPI, 15(8), 2022. (SCIE Indexed; Impact factor: 3.004
• Amit Shewale, Anil Mokhade, et al. “Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management using Multiple Knapsack Problem”, Arabian Journal for Science and Engineering, Springer, 2023. (SCIE Indexed; Impact factor: 2.9).
• Amit Shewale, Anil Mokhade, et al.  “An Efficient Residential Appliance Scheduling Model using Flower Pollination Algorithm for Cost Optimization”, Journal of Optimization Theory and Applications, Springer. (SCIE Indexed; Impact factor: 2.189) (Under Review)
• Amit Shewale, Anil Mokhade, et al. “An Efficient Appliance Scheduling in Smart Homes using Genetic Algorithm with Novel Crossover Operator”, Expert Systems, Wiley. (SCIE Indexed; Impact factor: 2.812) (Under Review)
• Amit Shewale, BN Keshavamurthy, et al. “An Efficient Approach for Privacy Preserving Distributed K-Means Clustering in Unsecured Environment,” Proceedings of the 5th ICACNI 2017, Goa.

• Member
• EdTech Collaboration

M. Tech (CSE) VNIT, Nagpur

Ph.D. Pursuing, VNIT, Nagpur

1. JULY, 2023 to Present               IIIT, Nagpur (Adjunct Assistant Professor)
2. FEB, 2023 to JUNE, 2023         RCOEM, Nagpur (Assistant Professor)
3. JULY, 2018 to DEC,2022           VNIT, Nagpur (Full Time Research Scholar)
4. JULY, 2017 to MAY,2018         RCOEM Nagpur (Assistant Professor)
5. MAY,2010 to May , 2017            RGCER Nagpur (Assistant Professor)

1. 01 SCI/SCIE Index Journal
2. 03 Scopus Index Conferences
3. 03 UGC Approved Journal

1. Sahu, Santosh Kumar, Anil Mokhade, and NeerajDhanrajBokde. 2023. "An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges" Applied Sciences 13, no. 3: 1956. https://doi.org/10.3390/app13031956
2. Santosk K Sahu and Mokhade, A. S., Stochastic Modeling Using Ensemble of Machine and Deep Learning for Intraday Stock Trading. Available at SSRN: https://ssrn.com/abstract=4137577 or http://dx.doi.org/10.2139/ssrn.4137577
3. Sahu, Santosh Kumar, and MujeebRahaman. "Query Processing in Graphical Data." International Journal of Advanced Research in Computer Science 4, no. 1 (2013).
4. A. D. Sawarkar, D. D. Shrimankar, S. K. Sahu, L. Singh, N. D. Bokde and M. Kumar, "Commercial Clustering of Indian Bamboo Species Using Machine Learning Techniques," 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), Nagpur, India, 2023, pp. 1-5, doi: 10.1109/PCEMS58491.2023.10136094.
5. K. Kelwade, S. Sahu, G. Kawade, N. Korde, S. Upadhye and M. Motghare, "Reputation based cache management policy for performance improvement," 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, India, 2017, pp. 582-587, doi: 10.1109/ISS1.2017.8389236.
6. G. Kawade, S. Sahu, S. Upadhye, N. Korde and M. Motghare, "An analysis on computation of longest common subsequence algorithm," 2017 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, India, 2017, pp. 982-987, doi: 10.1109/ISS1.2017.8389325.
7. Kumar, Amresh, Sayali M. Baitule, and Santosh Kumar Sahu. "Data Discovery with Tableau: A Case Study Using Data Analytics Tool." HELIX 8.5 (2018): 3849-3852.

M.E. / M. Tech

• 02 groups guided

B.E. / B. Tech.

• More than 10 groups guided

1. Coach ACM-ICPC (Association for Computing Machinery - International Collegiate Programming Contest)
2. GATE Coordinator

1. GATE(CS)-2020, 2019, 2018, 2016, 2008          Qualified
2. UGC-NET-2018                                                   Qualified
3. UGC-NET-2017                                                   Qualified
4. First Class LEVEL-A and B Certification from NIELIT (National Institute of Electronics & Information Technology, Ministry of Electronics & Information Technology, Government of India, New Delhi)

1. PhD-CSE VNIT, Nagpur (2020) Systems Biology.

2. M. Tech-CSE State Govt. institute Walchand College of Engg.Sangli.(2014-16)

3. B.Tech-IT. State Govt. institute Walchand College of Engg.Sangli.(2008-12)

• Walchand College of Engineering,Sangli, Maharashtra- 10 Aug 2019 - 19 Nov 2019
• Vishwakarma University Maharashtra- 23 Jan 2020 - 30 June 2020
• Vellore Institute of Technology AP(Deemed University) - 18 May 2021 - 13 December 2022
• Symbiosis Institute of Technology, Nagpur- 25 January 2023- 11 July 2023
• IndustryExperience- Infosys Pvt Ltd, System Engineer- 24 September 2012 – 21 July 2013