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• 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.