Academics

Bio

Dr. Neha Sathe is a Computational Biologist and a recent addition to the Department of Chemical Engineering and Bioengineering at MIT-WPU. She holds a Bachelor's degree in Chemistry, a Gold medalist M.Tech. degree in Bioinformatics from West Bengal University of Technology, and a PhD in Bioinformatics from IIT Kharagpur. Dr. Sathe's research interests lie in the application of computational tools in biological and medical research, particularly in the field of genomics. She has several publications in reputed international journals and has presented her research work at various national and international conferences.

Research Area

Bio Medical Signal Processing, Wireless Sensor Network, Image Processing

Publication

• Book Chapter titled “Role of Advanced Technologies in Gait Analysis and its importance in healthcare,” in the book titled “Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics.” Publisher: CRC, Taylor and Francis, U.K
• Neha Sathe, Anil Hiwale, Archana Ranade “Identifying key gait parameters in gender recognition and classification: performance analysis using machine learning algorithms,” International Journal of Medical Engineering and Informatics, DOI: 10.1504/IJMEI.2022.10046133, Scopus Index, Inderscience 
• Neha Sathe, Anil Hiwale, Archana Ranade, “Perceiving correlation among spatiotemporal gait parameters and verifying its relation using machine learning classification techniques,” International conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications, 28-29 March 2022, Springer Conference.
• Sathe, Neha P., and Anil S. Hiwale. "Verifying the Effect of Barefoot Walk and Comfortable Shoe Walk using Gait Velocity as a Tool for Analysis." 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2020. Pages 593-597, Publication Date 2020/3/5, Publisher IEEE.
• Sathe, Neha, and Anil Hiwale. "Achieving Wellness by Monitoring the Gait Pattern with Behavioral Intervention for Lifestyle Diseases." Fourth International Congress on Information and Communication Technology. Springer, Singapore, 2020 Pages 209-218, publication Date 2020.
• Sathe, Neha, Anil Hiwale, and Rashmi Phalnikar. "Pre-habilitation and wellness through gait analysis using body worn sensors." Proceedings of the 2018 International Conference on Communication Engineering and Technology. 2018. ICCET 2018 ACM Digital Library, Scopus, Page 38-40, Publication date: 2018/2/24

Google Scholar Link

https://scholar.google.com/citations?user=ESOBsFgAAAAJ&hl=en

Scopus Link

https://www.scopus.com/authid/detail.uri?authorId=57202196000

Orcid Link

https://orcid.org/my-orcid?orcid=0000-0002-0008-1950