Upasana Dohare | Sensor Networks | Best Researcher Award

Dr. Upasana Dohare | Sensor Networks | Best Researcher Award

Dr. Upasana Dohare, Galgotias University, India

Dr. Upasana Dohare is currently pursuing her MSc in Environmental Science and Engineering at Taiyuan University of Technology, China, focusing on sustainable recycling of spent lithium-ion polymer batteries. Her research, supervised by Prof. Gao Lizhen, includes optimizing thermal pretreatment conditions and selective cobalt recovery from lithium polymer batteries. Previously, she served as Head of the Science Department and Biology Tutor at Bosomtwe Oyoko Senior High School in Ghana, where she led academic activities and improved instructional learning. She holds a BSc in Science Education from the University of Education, Winneba. πŸ”‹πŸŒΏπŸ“š

Publication profile

Google Scholar


Academic Qualifications
πŸŽ“

Dr. Upasana Dohare holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru University (2018). She also completed an M.Tech. in Computer Science and Technology and an MSc in Mathematics with Computer Science. She is currently pursuing a part-time Postdoc at Multimedia University, Malaysia.

Employment History πŸ›οΈ

Dr. Dohare has over 8 years of teaching experience. She is currently an Assistant Professor and Co-Program Chair at Galgotias University. Previously, she has held positions at IIMT College of Engineering and Meerut Institute of Technology.

Research Focus πŸ”¬

Dr. Dohare’s research centers on the application of AI & ML in IoT, mathematical modeling of wireless sensor networks, and quantum computing. Her publications include high-impact journals like IEEE Transactions and Ad Hoc Networks.

Conference Participation & Workshops 🌐

Dr. Dohare has presented at numerous conferences and workshops, such as the International Conference on Communication and Computing Systems. She has also attended workshops on quantum technologies and cybersecurity.

Professional Engagement πŸ‘₯

She is a reviewer for multiple journals, including IEEE IoT and IET Quantum Communication. Dr. Dohare has also served as a guest editor and session chair for several conferences.

Certifications & Projects πŸ“ˆ

Dr. Dohare has earned certifications in cybersecurity and blockchain applications. She is actively involved in several research projects funded by DST and MeitY, focusing on IoT security and quantum computing.

Publication Top Notes

  • Trust evaluation for light weight security in sensor enabled Internet of Things: Game theory oriented approach – 58 citations (2019) πŸ›‘οΈ
  • Cybersecurity measures for geocasting in vehicular cyber physical system environments – 45 citations (2018) πŸš—πŸ”
  • Green computing in sensors-enabled internet of things: neuro fuzzy logic-based load balancing – 40 citations (2019) πŸŒΏπŸ’‘
  • Energy balanced model for lifetime maximization in randomly distributed wireless sensor networks – 35 citations (2014) πŸ”‹πŸ“‘
  • Towards green communication in wireless sensor network: GA enabled distributed zone approach – 28 citations (2019) πŸŒπŸ“Ά
  • Vehicular network intrusion detection using a cascaded deep learning approach with multi-variant metaheuristic – 21 citations (2023) πŸš¨πŸ€–
  • Blockchain based optimized energy trading for e-mobility using quantum reinforcement learning – 17 citations (2023) πŸ”—βš‘
  • FLAME: Trusted fire brigade service and insurance claim system using blockchain for enterprises – 13 citations (2022) πŸ”₯πŸ“œ
  • BEET: blockchain enabled energy trading for E-mobility oriented electric vehicles – 9 citations (2023) πŸ”—πŸš˜
  • DECENT: Deep learning enabled green computation for edge centric 6G networks – 9 citations (2022) πŸŒ±πŸ“Ά
  • Green computing in heterogeneous internet of things: Optimizing energy allocation using SARSA-based reinforcement learning – 5 citations (2020) πŸŒΏβš™οΈ


Conclusion

Dr. Upasana Dohare’s comprehensive research portfolio, coupled with her teaching experience and active professional engagement, makes her a deserving candidate for the Research for Best Researcher Award. Her contributions to the fields of AI, IoT, and quantum computing reflect a commitment to advancing technology and addressing complex challenges.