Oshin Rawlley (CHANAKYA Fellow, DRISHTI CPS Foundation, IIT Indore)
|
Dr. Oshin Rawlley Ph.D.
Address:
6021, Disruptive Technologies Lab- Smart Technologies and IoT Laboratory (ST-IoT), Department 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 in Modelling of Internet of Vehicles (IoV)
- Computer Vision in Autonomous Vehicles
- Green IoV for Sustainable Smart Cities
- Embodied Intelligence in Urban Mobility Systems
Education
- Ph.D. Department of Computer Science & Information Systems, Birla Institute of Technology and Science, Pilani, Rajasthan, (2020-2026)
- 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
Welcome to my webpage! I have recently completed my Ph.D. working on the intersection of Edge Computing and Urban Mobility for autonomous and connected vehicles, specializing in the area of Internet of Vehicles (IoV). My research thesis was on "Edge Computing-Enabled In-Situ Distributed Intelligent Mechanisms for Next-Generation Internet of Vehicles (IoV) Scenarios". I was advised by Prof. Shashank Gupta. I was a CHANAKYA Ph.D. Fellow Awardee sponsored by DRISHTI CPS Indian Institute of Technology Indore (IIT Indore). The CHANAKYA (Comprehensive and Holistic Advancement of National Knowledge Yield and Analytics) Ph.D. Fellow sponsorship by DRISHTI CPS Foundation, is an initiative under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by DST Govt. of India. I am a student member of IEEE, ACM and an affiliate member of DRISHTI CPS, IIT Indore. I am also a review committee member of many journals, transactions and conferences of good International repute. I had 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.
My motivating premise is simple: As transportation systems become increasingly software-defined and data-driven, we cannot rely on centralized cloud-only intelligence, not for latency, not for scalability, and not for sustainability. Instead, we need adaptive, distributed intelligence that can be deployed close to the sources of sensing and action, on roadside infrastructure, edge servers, and vehicular platforms while remaining robust under mobility, resource constraints, and dynamic network conditions.