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

 

 

 

Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

Dr. Abdulsamad Yahya, Northern Border University, Saudi Arabia

Dr. Abdulsamad Yahya, an Assistant Professor at Northern Border University, Saudi Arabia, holds a Ph.D. in Computer Science from the National University of Malaysia (UKM) and a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia. With over 16 years of academic experience, he has significantly impacted the IT Department through his roles as Head of the IT Department and Deputy Dean of Postgraduate Studies. Dr. Yahya’s research expertise includes Artificial Intelligence, Computer Vision, and Biometrics, with notable contributions to deep learning and big data visualization. Recognized with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, his career is distinguished by a strong blend of research excellence and administrative leadership.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Dr. Abdulsamad Yahya is a strong contender for the Research for Best Researcher Award based on his extensive experience in academia, significant contributions to the field of computer science, and his leadership roles. His qualifications and research interests highlight his exceptional suitability for this recognition.

πŸŽ“ Academic Expertise:

Dr. Abdulsamad Yahya, Ph.D. in Computer Science from National University of Malaysia (UKM), brings over 16 years of academic experience. His qualifications also include a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia.

 

πŸ“š Distinguished Educator:

As an Assistant Professor at Northern Border University, Saudi Arabia, Dr. Yahya has significantly impacted the Information Technology Department. His past roles include Head of the IT Department and Deputy Dean of Postgraduate Studies, showcasing his leadership in academia.

πŸ”¬ Research Leader:

Dr. Yahya’s research focuses on Artificial Intelligence, Computer Vision, and Biometrics. His conference papers on deep learning and big data visualization reflect his active contribution to advancing these fields.

πŸ† Award-Winning Scholar:

Honored with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, Dr. Yahya’s academic journey is marked by his commitment to research and education.

πŸ—‚οΈ Administrative Excellence:

Dr. Yahya has served as the Head of the IT Department and Chairperson of the Senior Project Committee at Northern Border University, demonstrating his strong administrative and project management skills.

Publication Top Notes:

  • Title: Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model
    • Citations: 13
    • Year: 2022
  • Title: A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia
    • Citations: 3
    • Year: 2020
  • Title: Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang
    • Citations: 2
    • Year: 2020
  • Title: Inflectional Review of Deep Learning on Natural Language Processing
    • Citations: 35
    • Year: 2018
  • Title: Big Data Visualization: Allotting by R and Python with GUI Tools
    • Citations: 17
    • Year: 2018