Dr. Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

Assistant Professor  | IEM Kolkata  |  India

Dr. Sreya Ghosh is an accomplished researcher and academic specializing in intelligent transportation systems, vehicular ad hoc networks (VANETs), and wireless communication technologies. Currently serving as an Assistant Professor in the Department of Computer Science and Engineering (AIML) at the Institute of Engineering and Management, Kolkata, she has contributed significantly to the advancement of AI- and ML-driven solutions for next-generation vehicular networks. Her doctoral research at Jadavpur University focused on the design of vehicular ad hoc networks with enhanced performance applicable to intelligent transportation systems, integrating machine learning and communication optimization techniques. Over the years, she has published several impactful research papers in reputed international journals such as Wiley and Springer, with notable works including intelligent sensing-based resource allocation in 5G-V2X networks, RSU deployment optimization using complex network analysis, and enhanced routing algorithms for energy-efficient vehicular communication. Dr. Ghosh has also presented her research at numerous IEEE conferences, contributing to the development of algorithms for CO₂ emission reduction, cooperative caching, and congestion mitigation in smart cities. Her research interests span sensor networks, AI/ML applications, natural language processing, IoT, and algorithm design, with a strong emphasis on sustainable intelligent mobility. She possesses advanced technical skills in Python, PyTorch, Keras, MATLAB, and C, enabling her to develop and simulate intelligent systems effectively. She has been awarded prestigious fellowships, including the CSIR Senior Research Fellowship and the UGC UPE Fellowship, in recognition of her research excellence. Additionally, she has contributed as a reviewer for reputed IEEE and Springer journals and conferences and has organized academic events promoting innovation in computing and communication technologies. Her dedication to research and academic excellence reflects her commitment to advancing intelligent systems for societal benefit. She has achieved 59 Citations,   11 Documents, 4 h-index.

Profiles: Google Scholar  |  ORCID  |  Scopus

Featured Publications 

  1. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Optimal RSU deployment using complex network analysis for traffic prediction in VANET. Peer-to-Peer Networking and Applications, 16(2), 1135–1154. Citations: 18

  2. Ghosh, S., & Misra, I. S. (2020). Enhanced QoS performance with reduced route overhead by ant colony optimization algorithm for VANET. In 2020 IEEE Applied Signal Processing Conference (ASPCON) (pp. 237–241). IEEE. Citations: 10

  3. Ghosh, S., & Misra, I. S. (2017). Design and testbed implementation of an energy efficient clustering protocol for WSN. In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC) (pp. 55–60). IEEE. Citations: 9

  4. Ghosh, S., Misra, I. S., & Chakraborty, T. (2023). Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network. Transactions on Emerging Telecommunications Technologies, 34(6), e4764. Citations: 5

  5. Ghosh, S., Misra, I. S., & Chakraborty, T. (2022). Developing an application for intelligent transportation system for emergency health care. In 2022 IEEE Calcutta Conference (CALCON) (pp. 39–43). IEEE. Citations: 2

Dr. Sreya Ghosh’s research integrates artificial intelligence, wireless communication, and vehicular networking to build smarter, safer, and more sustainable transportation ecosystems. Her innovative work on RSU optimization, QoS enhancement, and energy-efficient network design contributes to the development of next-generation intelligent transportation systems that support traffic efficiency, environmental sustainability, and smart city evolution worldwide..

 

Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

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