View Profile

• PhD in EEG Signal Processing from Poornima University, Jaipur (2022)
• M.Tech in Electronics and Communication Engineering from RTMNU, Nagpur (2013)
• B.E in Electronics and Telecommunication Engineering from RTMNU, Nagpur (2009)

• January 2023 to till date : Adjunct Assistant Professor at IIIT, Nagpur.
• July 2014 to June 2022 : Assistant Professor at Priyadarshini College of Engineering, Nagpur.
• July 2010 to July 2014 : Assistant Professor at Priyadarshini Institute of Engineering and Technology, Nagpur.

• 4th Sem ECE: Digital Signal Processing
• 4th Sem ECE: Computer Architecture and Organisation

• AREA OF RESEARCH
  • Biomedical Signal Processing
  • Wireless Sensor Networks
• RESEARCH PROJECT
  • Application of Signal Processing Techniques for Detection and Removal of Artifacts from EEG Records.
  • Congestion Avoidance and Lifetime Maximization in WSN using Mobile Sink.
  • Analysis of Power Consumption in Wireless Sensor Networks.

Patent

• Application of Big Data in Electroencephalography

Copyright

• Congestion Avoidance and Lifetime Maximization in Wireless Sensor Networks using a Mobile Sink. Author: Sagar Motdhare, Status: Indian Copyright, Diary no. 2088/2019-CO/L dated 08/02/2019.

Conference and Journals

• Sagar Motdhare, Garima Mathur, “An Experimental Analysis on EMG Arttifact Removal Methods from EEG Signal Records”, Mathematical Statistician and Engineering Applications Journal, ISSN: 2326-9865, Vol.71 (1), 72 (2022). https://doi.org/10.17762/msea.v71i1.43  [Scopus Indexed].
• Sagar Motdhare, Garima Mathur, “Eye Blink Artifact Removal from Cognitive EEG Data using ICA”, Mathematical Statistician and Engineering Applications Journal, ISSN: 2326-9865, Vol. 71(1), 86 (2022). https://doi.org/10.17762/msea.v71i1.45 [Scopus Indexed].
• Sagar Motdhare, Garima Mathur, “A Review on Recent Advances in Removal of Artifacts from EEG Signal Records” Pervasive Health and Technology (EAI Endorsed Journal) (2021) ISSN: 2411-7174. [Scopus Indexed].
• Sagar Motdhare, Garima Mathur, "Classification of Artifacts in EEG Signal Recordings" Test Engineering and Management Journal, ISSN: 01934120 for July/ August 2020 (Volume). [Scopus Indexed].
• Sagar Motdhare, Arun Dev Dhar Dwivwdi, "Detection and Removal of Artifacts from EEG Records- A Review" eSciPub American Journal of Engineering Research and Reviews (ISSN: 2367-3785) Paper code: AJOERR-2020-01-0505.
• Sagar Motdhare, Garima Mathur, “A Review on EMG Artifact Removal Methods from EEG Signal Records" in the Proceedings of 3rd International Online Conference on Emerging Trends in Multidisciplinary Research (ETMDR-2022) organized by Poornima University, Jaipur. (Jan 20-22, 2022)
• Sagar Motdhare, Garima Mathur, "Classification of Artifacts in EEG Signal Recordings" in the Proceedings of  International Online Conference on Emerging Trends in Multidisciplinary Research (ETMDR-2020) organized by Poornima University, Jaipur. (July 23-25, 2020)
• Sagar Motdhare, Garima Mathur, "Artifact Rejection Methods in EEG Signals"in the Proceedings International Conference on Advanced Functional Materials (AFM-2020) organized by Kamla Nehru Mahavidyalaya, Nagpur. (January 23-25, 2020).
• Sagar Motdhare, Arun Dev Dhar Dwivedi, “Detection and Removal of Artifacts from EEG Signal Records-A Review” in the Proceedings of International conference on Recent Trends and Innovation in Engineering, Science and Technology (ICRTIEST-2019) Organized by ASRC Poornima University, Jaipur. (December 20-21, 2019).
• Puranik Parag & Kshirsagar, Dr & Motdhare Sagar. (2018). Elementary Time Frequency Analysis of EEG Signal Processing. EAI Endorsed Transactions on Pervasive Health and Technology. 4. 155081. 10.4108/eai.13-7-2018.155081.
• S. Motdhare and P. Puranik, "Congestion reduction in Wireless Sensor Networks using mobile sink approach," 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, India, 2016, pp. 1-4, doi: 10.1109/ICRAIE.2016.7939595.
• Motdhare S., Dethe, C.G. (2014), “Congestion Avoidance and Lifetime Maximization in Wireless Sensor Networks Using a Mobile Sink”. In: Maringanti, R., Tiwari, M., Arora, A. (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks. Lecture Notes in Electrical Engineering, vol 299. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1823-4_4

Book Chapter

Book Chapter titled “Analysis of Big Data in Electroencephalography” in HMDAI-2021 Healthcare Monitoring and Data Analysis using IoT published by IET, UK. Book DOI: 10.1049/PBHE038E Chapter DOI: 10.1049/PBHE038E_ch3 ISBN: 9781839534379 e-ISBN: 9781839534386