Dharmendra Kumar

About

Dharmendra Kumar is currently working as Associate Professor at the Department of Computer Science and Engineering, United College of Engineering and Research, Prayagraj, India and pursuing Ph. D. at Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India. He received his M. Tech. degree in Software Engineering from Motilal Nehru National Institute of Technology Allahabad, Prayagraj in 2008, and M.Sc. degree in Software Engineering from University of Allahabad, Prayagraj, India in 2001. He is teaching at the United College of Engineering and Research, Prayagraj, India for about 20 Years. He has taught many core subject papers such as ”Computer Network”, ”Design and Analysis of Algorithms”, ”Data Structure”, ”Database Management System” and etc. of computer science during his teaching period. His research interests include Peer-to-Peer Networks, Computer Networks and Machine Learning. The author has published papers in International Journals including Springer and Inderscience. He is a NET-qualified scholar. He is also qualified GATE Entrance Examination with rank 573 in 2018.

Employment

• United College of Engineering and Research Associate Professor
  2001 - Present

Education

• Dr. A.P.J. Abdul Kalam Technical University Ph.D.
  2013 - 2023
• Motilal Nehru National Institute of Technology Allahabad Master of Technology
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Deep neural networks for early detection of chronic diseases using multi-modal health data
  Neural Computing and Applications 2026 DOI: 10.1007/s00521-026-12253-2
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• ETPNav: robust vision-language navigation via online topological mapping
  Evolutionary Intelligence 2026 DOI: 10.1007/s12065-026-01153-y
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• Adaptive PSO-optimized hybrid intrusion detection system for high-density networks (A-PSO-HIDS)
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2026.133664
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• Comparative Analysis of Machine Learning Algorithms for Online Transaction Fraud Detection
  2025 International Conference on Electrical, Communication, and Computing Technologies (iCONECCT) 2025 DOI: 10.1109/iconecct67014.2025.11469978
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• Disentangling LLM Predictions: A Framework for Transparent Decision-Making in NLP
  2025 IEEE Pune Section International Conference (PuneCon) 2025 DOI: 10.1109/punecon67554.2025.11373924
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• Bridging the gap: combining expert guidance and self-learned knowledge for efficient and robust autonomous navigation in complex settings
  Journal of Ambient Intelligence and Humanized Computing 2025 DOI: 10.1007/s12652-025-04955-7
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• Advanced detection of cardiac arrhythmias using machine learning algorithms on ECG data
  Neural Computing and Applications 2025 DOI: 10.1007/s00521-025-11681-w
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• Decentralized Defences from Federated Learning for Ethereum Phishing Detection
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-83783-8_14
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• Optimizing Phishing Detection in Ethereum Using Ensemble Learning
  Advances in Intelligent Systems Research 2025 DOI: 10.2991/978-94-6463-740-3_5
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• Synthesis and characterization of energy-efficient Mq2 (M=Zn, and Pb) organometallic complexes for OLED display applications: Illuminating the future of visual technology
  Journal of Molecular Structure 2025 DOI: 10.1016/j.molstruc.2024.139515
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