RAHUL JAIN
National Institute of Fashion Technology - Bhubaneswar, SISTec Bhopal, Maulana Azad National Institute of Technology, Indian Institute of Technology Dhanbad, Sagar Institute of Research and Technology
0000-0002-4969-6956
About
Dr. Rahul Jain is an Assistant Professor at the Department of Fashion Technology, NIFT Bhubaneswar. He holds a PhD in Computer Science and Engineering from MANIT Bhopal (2023), an M.Tech. in Computer Science and Engineering from IIT (ISM) Dhanbad (2015), and a B.E. in Computer Science and Engineering from RGPV Bhopal (2012). He has more than eight years of teaching and research experience. He has authored/ co-authored many research papers published in top-ranked journals. He also serves as a reviewer for numerous top-ranked international journals and conferences of repute. His research interests lie in Humanoid Robotics, Human Gait Analysis, Human Biomechanics, Deep Learning, and the Internet of Healthcare Things.
Employment
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National Institute of Fashion Technology - Bhubaneswar Assistant Professor2022 - Present
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SISTec Bhopal Assistant Professor2019 - 2019
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Sagar Institute of Research and Technology Assistant Professor2016 - 2019
Education
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Maulana Azad National Institute of Technology PhD2019 - Present
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Indian Institute of Technology Dhanbad M.Tech2013 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- Exploring Indian Millennials’ Motivations for Using Wearable Activity Trackers (WATs) Through the Lens of Self-Determination Theory (SDT) Save
- Gait reference trajectory generation at different walking speeds using LSTM and CNN Save
- Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning Save
- A Novel Feature Extraction Method for Preimpact Fall Detection System Using Deep Learning and Wearable Sensors Save
- Stride segmentation of inertial sensor data using statistical methods for different walking activities Save
- Deep ensemble learning approach for lower extremity activities recognition using wearable sensors Save