Oshin Rawlley (CHANAKYA Fellow, DRISHTI CPS Foundation, IIT Indore)
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Ph.D. Research Scholar
Address:
Lab- 6021, Disruptive Technologies Lab, Dept. of CSIS, BITS Pilani, Pilani Campus, Rajasthan, 333031
Contact: p20200063@pilani.bits-pilani.ac.in, oshinrawlley@ieee.org Phone: +91-1596-25-5453 (Office) |
News & Updates |
Research Interests
Edge Computing, Computer Vision in Autonomous Vehicles, Modelling of Internet of Vehicles (IoV), Cyber-Physical Systems
Education
- Ph.D. Department of Computer Science & Information Systems, Birla Institute of Technology and Science, Pilani, Rajasthan, 2020-Present
- M.Tech. Department of Computer Science Engineering, Amity University, Noida, Uttar Pradesh, 2016-2018
- B.Tech. Department of Computer Science, Rajiv Gandhi Proudyogiki Vishwavidalaya, Bhopal, Madhya Pradesh, 2011-2015
Biography
She is a Chanakya Ph.D. Fellow Awardee sponsored by DRISHTI CPS Indian Institute of Technology Indore (IIT Indore). Currently, she is pursuing Ph.D. in the broad area of Computer Vision in Autonomous Vehicles in Disruptive Technologies Lab in the Department of CSIS, BITS Pilani, Pilani Campus. She is being advised by Dr. Shashank Gupta. Her research interests are majorly in Internet of Vehicles (IoV), Edge computing and Computer Vision in Autonomous Vehicles. She is a student member of IEEE, ACM and an affiliate member of DRISHTI CPS, IIT Indore. She is also a review committee member of many journals, transactions and conferences of good International repute. She has also received an International Travel Support (ITS) Fellowship, ANRF, India for presenting a manuscript in the broad domain of Intelligent Transportation Systems in 35th IEEE Intelligent Vehicles Symposium (IV 2024), held in Jeju Island, South Korea.
Her research particularly piques interest in the AI-driven modelling of Internet of Vehicle (IoV) in the broader domain of Edge Computing (EC) and Computer Vision in Autonomous Vehicles (AV). She is also interested in exploring the interplay between EC and AI to address practical perception challenges in vehicular environment and tackle energy-related concerns within IoV systems. She aims to work for establishing a conducive ecosystem by enhancing and advancing Intelligent Transportation Systems (ITS) with the contribution of Vehicular Networking technologies.