Sreya Ghosh | Vehicular Communication Systems | Women in Automotive Award

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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..

 

Theophilus Nwokedi | Sustainable Transport | Excellence in Innovation Award

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Dr. Theophilus Nwokedi | Sustainable Transport | Excellence in Innovation Award

Senior Lecturer | Federal University of Technology | Nigeria

Dr. Theophilus Chinonyerem Nwokedi is a Senior Lecturer in the Department of Maritime Technology and Logistics at the School of Logistics and Innovation Technology, Federal University of Technology, Owerri, Nigeria, with extensive expertise in maritime management, port logistics, shipping operations, marine environmental protection, and maritime security governance. He earned his First Degree in Transport Management & Technology from the Federal University of Technology, Owerri (Second Class Upper Division), and subsequently obtained both a Master of Science (M.Sc.) and a Doctor of Philosophy (Ph.D.) in Maritime Management & Technology from the same institution. Over the years, Dr. Nwokedi has amassed extensive professional experience in maritime, shipping, ports, and logistics organizations, while actively engaging in human capital development and professional training across institutions such as the Nautical Institute for Technology, Global Maritime Academy, Certified Institute of Shipping (CIS), Atlantic Maritime Academy, Lagos Aviation and Maritime Business School (LAMBS), and the Chartered Institute of Transport Administration (CIOTA), Nigeria. His research interests encompass marine environmental protection and sustainability, maritime safety management, sustainable ports and marine transportation, marine surveying and offshore inspection, maritime insurance, and maritime defense and security. Dr. Nwokedi has demonstrated strong research skills in modeling, quantitative analysis, risk assessment, and maritime policy evaluation, with over 45 publications in peer-reviewed journals indexed by Scopus, Web of Science, and Google Scholar, including extensive work on marine debris, shipping efficiency, and economic impacts of maritime operations. He has led and contributed to multiple national research projects, notably NIMASA-funded Marine Debris Combat programs, and actively participates in consultancy through Tblanca Global Maritime Logistics Consults and Ocean Research Center (ORC). Recognized for his commitment to education, research, and societal impact, he has garnered numerous awards and honors for his contributions to maritime studies. Dr. Nwokedi’s sustained leadership, scholarly productivity, and dedication to advancing maritime research establish him as a leading figure in Nigeria and internationally. He has achieved 33 Citations , 17 Documents, 4 h-index.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Nwokedi, T. C., Anyanwu, J., Eko-Rapheaels, M., Akpufu, C. O. I. D., & Ogola, D. B. (2022). Probability theory analysis of maritime piracy and the implications for maritime security governance. Journal of ETA Maritime Science, 10(2), 14. Citations: 14, h-index: 4

2. Nwokedi, T. C., Okoroji, L. I., Nwoloziri, C. N., Efanga, H. O., & Okafor, C. O. (2021). Covid-19: Disruption of container freight transportation on last mile corridors between regional hub ports and hinterland markets in Nigeria. Himalayan Journal of Economics and Business Management, 2(1), 1–13. Citations: 12, h-index: 4

3. Ndikom, O., Nwokedi, T. C., Buhari, S. O., & Okeke, K. O. (2017). An appraisal of demurrage policies and charges of maritime operators in Nigerian seaport terminals: The shipping industry and economic implications. NAŠE MORE: Znanstveni časopis za more i pomorstvo, 64(3), 90–99. Citations: 12, h-index: 4

4. Nnadi, C. O., Nwokedi, T., Nwokoro, I., & Ndikom, O. (2016). Analysis of maritime piracy and armed robbery in the Gulf of Guinea maritime domain. Journal of ETA Maritime Science, 4(4), 271–287. Citations: 12, h-index: 4

5. Nwokedi, T., Odumodu, C. U., Anyanwu, J., & Dike, D. (2020). Frustration-aggression-theory approach assessment of sea piracy and armed robbery in Nigerian industrial trawler fishery sub-sector of the blue economy. Journal of ETA Maritime Science, 8(2), 114–132. Citations: 11, h-index: 4