Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research

Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research Award

Dr. Mani shekhar Gupta | Adani University, Ahmedabad | India

πŸ“š Dr. Mani Shekhar Gupta is an Assistant Professor at Adani University, Ahmedabad, with a Ph.D. in Electronics and Communication Engineering from NIT Hamirpur. πŸš€ His research spans cognitive radio networks, vehicular networks, resource allocation, AI, and next-gen wireless technologies. πŸ“‘ With over 11 years of academic and research experience, he has contributed significantly through projects at IIT Delhi and NIT Hamirpur. πŸ‘¨β€πŸ« A passionate educator and innovator, Dr. Gupta excels in machine learning, green networks, and intelligent transportation systems. πŸ’‘ His dynamic approach blends technical expertise with a love for teaching and discovery. 🌟

Professional Profile:

Google Scholar

Suitability for the Excellence in Research Award

Dr. Mani Shekhar Gupta is highly suitable for the Excellence in Research Award due to his extensive academic background, impactful research contributions, and innovative approaches in the fields of cognitive radio networks, vehicular networks, resource allocation, artificial intelligence, and next-generation wireless technologies. His career, spanning over 11 years, reflects a deep commitment to advancing technological frontiers and fostering academic excellence.

Education πŸ“– & Experience πŸ‘¨β€πŸ’ΌΒ 

  • πŸ“œ Ph.D. in Electronics & Communication Engineering, NIT Hamirpur (2017–2021) – CGPI 9.5
  • 🎯 M.Tech. in Electronics & Communication Engineering, NIT Hamirpur (2009–2011) – CGPI 8.49
  • πŸ… B.Tech. in Electronics & Communication, UPTU, Lucknow (2005–2009) – 74.42%
  • πŸ‘¨β€πŸ« Assistant Professor, Adani University (2022–Present)
  • πŸ”¬ Postdoctoral Researcher, IIT Delhi (2021–2022)
  • πŸŽ“ Ph.D. Research Scholar, NIT Hamirpur (2017–2021)
  • πŸ‘¨β€πŸ’Ό Assistant Professor, PSIT Kanpur (2011–2017)

Professional DevelopmentΒ 

🌐 Dr. Gupta actively engages in continuous professional growth through memberships in global organizations like IEEE πŸ“‘, EAI πŸ‡ͺπŸ‡Ί, IACSIT πŸ‡ΈπŸ‡¬, IAENG πŸ‡­πŸ‡°, and IAAM 🌍. His participation spans technical communities focusing on e-Government, IoT 🌐, Smart Cities πŸ™οΈ, and Autonomous Driving πŸš—. He’s also a member of humanitarian groups like IEEE SIGHT 🀝. Through conferences, workshops, and collaborative projects, Dr. Gupta refines his expertise in wireless networks, machine learning πŸ€–, and green technologies 🌱, ensuring he stays at the forefront of innovation and academic excellence. πŸš€

Research FocusΒ 

πŸ” Dr. Gupta’s research focuses on cognitive radio networks πŸ“‘, vehicular networks πŸš—, and resource allocation strategies for next-generation wireless systems πŸ“Ά. His work integrates AI πŸ€– and machine learning to enhance spectrum management, optimize network efficiency, and support intelligent transportation systems 🚦. He explores green network technologies 🌱, aiming to reduce environmental impact while improving connectivity. His contributions to 5G and beyond involve proactive spectrum sharing, game theory applications 🎯, and cooperative uplink-downlink strategies, making his research pivotal for smart cities πŸ™οΈ and sustainable communication infrastructures. 🌍

Awards & Honors πŸ†Β 

(No specific awards or honors mentioned in the provided details. If you have any, please share for accurate updates.)

  • πŸ… IEEE Membership & Active Roles in Multiple Societies
  • 🌟 Recognized Contributor in DST-SERB & BASF Research Projects
  • πŸ“œ International Memberships: IACSIT πŸ‡ΈπŸ‡¬, IAENG πŸ‡­πŸ‡°, IAAM 🌍

Publication Top Notes:

πŸ“‘ Progression on Spectrum Sensing for Cognitive Radio Networks: A Survey, Classification, Challenges, and Future Research Issues Β πŸ“‘ Cited by 164
🌿 Energy Efficient Transmission Trends Towards Future Green Cognitive Radio Networks (5G): Progress, Taxonomy, and Open Challenges πŸ“‘ Cited by 114
πŸš— Application Aware Networks’ Resource Selection Decision Making Technique Using Group Mobility in Vehicular Cognitive Radio Networks Β πŸ“‘ Cited by 32
πŸ“Ά A Survey on NOMA Techniques for 5G Scenario Β πŸ“‘ Cited by 24
πŸ”€ Seamless Vertical Handover for Efficient Mobility Management in Cooperative Heterogeneous Networks πŸ“‘ Cited by 20