Journal Publications
Conference Publications
Research Projects
PhD Research Supervised
Awards & Honours
Machine Learning, Pattern Recognition, Brain-Computer Interfacing, Optimization, Biomedical Signal Processing.
Rahul Kumar Chaurasiya received the B.Tech. degree from the Maulana Azad National Institute of Technology, Bhopal, India, in 2009, and the M.E. degree in System Science and Automation from the Indian Institute of Science, Bangalore, in 2011. He received his Ph.D. degree in 2017 from National Institute of Technology, Raipur. He was a Senior Software Engineer with Brocade Communications Systems, Bangalore, in 2011-12. During 2013-18, he was Assistant Professor at the National Institute of Technology, Raipur. Since 2019, he is with the Malviya National Institute of Technology Jaipur as Assistant Professor. His research area includes Machine Learning, Pattern Recognition, Brain-Computer Interfacing, Optimization, Biomedical Signal Processing. He has authored several research articles in aforementioned areas. He has supervised 7 M Tech and 50 B Tech students in his area of research. He is currently supervising 5 PhD (As supervisor and Joint Supervisor) and 7 B Tech students.
Title | Total Outlay (In Lacs) |
Year | Funding Agency | Role |
---|---|---|---|---|
Development of an affordable and wearable sensors-based system for automatic detection and efficient monitoring of food-intake. | 4.00 | 2019-2020 | TEQIP-III Under Research Grant Scheme | PI |
Development of efficient Devanagari Script Input Based P300 Speller system for Brain-Computer Interface | 27.10 | 2016-2019 | Dept. of Science and Technology (DST) under Cognitive Science Research Initiative | PI |
SNo. | Type | Title | Event | Place | Schedule |
---|---|---|---|---|---|
1 | Talk | Machine learning and Pattern Classification methods. | “Machine learning in IOT: Implementation & Use Cases ” | Institute of Engineering & Technology (I.E.T), Dr. Ram Manohar Lohia Awadh University, Ayodhya, UP | Jun-2019 |
2 | Talk | Pattern classification and Data transformation methods: Theory and Matlab Implementations. | EICT sponsored two week FDP on Machine Learning & IOT | The Maharaja Sayajirao University of Baroda in Collaboration with MNIT, Jaipur | Jun-2019 |