Ajay kumar

About

Dr. Ajay Kumar, (Member IEEE) is a Professor, an IAF Veteran, He is an aluminous of AFA, JMI New Delhi, IIT Mumbai, NIT Patna, where he obtained his Graduate, Post Graduate, Management & Doctorate degree in Computer Network security and Cyber Security. He has also held the position of Joint Director post at DRDO in Cyber security Cell, New Delhi. He has also held the IT/ Network Manager in AMAZON. He has published more than 25 SCI and SCIE research papers in national & international peer reviewed journals. He has reviewed 200 SCI journal papers. He is also the reviewer of many reputed and peer to peer’s journals of the Research world. He has also the 5 patents grants national and internationally. His area of research is Cyber security, Computer network, Machine learning, Information security with IoT

Employment

• INDIAN AIR FORCE Joint Director
  2003 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (41)

• Enhancing Aleatoric and Epistemic Uncertainty Prognostication of Financial Data through Volatility-Adaptive Framework
  Computational Economics 2026 DOI: 10.1007/s10614-026-11322-x
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• A Comprehensive Study of Quantum-Enhanced Multi-Objective Salp Swarm Algorithm: Portfolio Optimization Techniques
  Proceeding 2026 IEEE 6th International Conference on Computing Power and Communication Technologies Ic2pct 2026 2026 DOI: 10.1109/IC2PCT68894.2026.11584486
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• Smart Healthcare Systems Using Autonomous Diagnostic Agents
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-26376-6_17
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• Malaria Detection Using A Deep Learning Model
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-26376-6_16
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• Generative Adversarial Networks with Gated Recurrent Units for Stock Return Modelling and Portfolio Management Using Synthetic Financial Time Series
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-23219-9_34
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• Enhancing Credit Risk Prediction Using Stacked Ensemble and Quantum Approaches on PySpark
  Lecture Notes in Computer Science 2026 DOI: 10.1007/978-3-032-15134-6_5
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• Green Data Centre and Hardware Optimization
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-95-3498-2_18
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• Enhancing Security in Software-Defined Networks: Hybrid Deep Learning Models for Flooding Attack Detection
  Icdt 2025 3rd International Conference on Disruptive Technologies 2025 DOI: 10.1109/ICDT63985.2025.10986578
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• Phishing Detection Using URL Based Features: A Machine Learning Approach
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-96-5955-5_47
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• Maintainability Improvement in Ageing Aircraft: A Critical Review of Evolving Strategies
  Ssrg International Journal of Mechanical Engineering 2025 DOI: 10.14445/23488360/IJME-V12I5P108
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