Ashok Kumar Yadav

About

Dr. Ashok Kumar Yadav holds a B.Tech. from AKTU Lucknow and an M.Tech. and Ph.D. from JNU New Delhi, India. With over eight years of combined teaching and research experience, he is currently an assistant professor in the Department of Information Technology at Rajkiya Engineering College, Azamgarh, India. Before this, he served as an assistant professor (On ad-hoc) at the University of Delhi. Dr. Yadav's research expertise spans across multi-attribute decision-making (MADM), blockchain technology, machine learning, and mobility management in mobile communication. His significant contributions include publications in renowned journals such as IEEE Transaction, Elsevier, Springer, World Scientific, and Taylor & Francis, as well as presentations at prominent international conferences. Among his notable works, Dr. Yadav is the coauthor of five authored books and four edited books. Dr. Yadav's academic achievements include eight SCI-indexed publications, 4 Scopus-indexed papers, and six patents. He is actively involved in academia as a reviewer for international journals and a contributor to program committees at various conferences. His excellence has been recognized with the Best Paper Award at the IEEE World Conference on Applied Intelligence and Computing in 2022 and at the International Conference on Artificial Intelligence and Smart Communication (AISC) in 2023.

Employment

• Rajkiya Engineering College Assistant Professor
  2017 - Present
• University of Delhi Assistant Professor (On adhoc)
  2015 - 2017
• University of Delhi Assistant Professor (ad-hoc)
  2015 - 2017

Education

• Jawaharlal Nehru University Ph.D
  2014 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• FDTHM: Fuzzy-dynamic TOPSIS handover management for heterogeneous network
  Systems and Soft Computing 2026 DOI: 10.1016/j.sasc.2026.200492
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• Memory -dependent fake news dissemination and control: A fractional SVEIR model with stability analysis
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.109987
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• Blockchain-enabled IoT: A MADM and machine learning decision-intelligent framework for optimal consensus mechanism selection
  Future Generation Computer Systems 2026 DOI: 10.1016/j.future.2026.108662
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• Efficient and Reliable Information Sharing for Internet of Vehicles Using Trust and Blockchain
  IEEE Transactions on Vehicular Technology 2025 DOI: 10.1109/TVT.2025.3575775
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• Fractional Order Epidemiological Model of Fake Information Mitigation in OSNs With PINN, TFC, and ELM
  Machine Learning Techniques and Industry Applications 2024 DOI: 10.4018/979-8-3693-5271-7.ch009
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• A comparative study on consensus mechanism with security threats and future scopes: Blockchain
  Computer Communications 2023 DOI: 10.1016/j.comcom.2023.01.018
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• I-MEREC-T: Improved MEREC-TOPSIS scheme for optimal network selection in 5G heterogeneous network for IoT
  Internet of Things (Netherlands) 2023 DOI: 10.1016/j.iot.2023.100748
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• The Influence of Different Weighting Methods on MADM Ranking Techniques and Its Impact on Network Selection for Handover in HetNet
  2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023 2023 DOI: 10.1109/AISC56616.2023.10085305
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• Significance of elliptic curve cryptography in blockchain IoT
  Cloud IoT: Concepts, Paradigms, and Applications 2022 DOI: 10.1201/9781003155577-20
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• Performance Analysis of Network Selection Technique for Handover Strategies in Heterogeneous 5G Network
  Proceedings - 2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022 2022 DOI: 10.1109/AIC55036.2022.9848989
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