Dr. Arunendra Singh

About

Dr. Arunendra Singh is presently working as a Professor in the Department of Computer Science & Engineering at Allenhouse Institute of Technology, Kanpur. He has more than 18 years of teaching and research experience. He received his Ph.D. degree in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, Uttar Pradesh. He received his M.Tech. degree from Motilal Nehru National Institute of Technology (MNNIT), Allahabad and B.Tech. degree from Harcourt Butler Technological Institute (HBTI), Kanpur, Uttar Pradesh. He has authored several (more than 25) research papers in peer reviewed/international referred journals, leading conferences and book chapters which are indexed in Web of Science (WoS)/SCIE and SCOPUS. His area of interest includes Optical Communications, Computer Networks, Machine Learning, IoT, AI, Blockchain, Image Processing, Network Security. He is currently serving as a reviewer of several Journals indexed in Web of Science (WoS)/SCIE & SCOPUS.

Employment

• Allenhouse Institute of Technology Professor
  2025 - Present
• Pranveer Singh Institute of Technology Associate Professor
  2012 - 2025

Education

• Motilal Nehru National Institute of Technology Master of Technology
  2008 - 2011
• Harcourt Butler Technological Institute Bachelor of Technology
  2001 - 2005

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Hybrid quantum GAN- integrated synthetic data generation with privacy-embedded attention framework for financial forecasting and risk analysis
  Big Data Research 2026 DOI: 10.1016/j.bdr.2026.100604
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• A convolutional block attention module-enhanced VGG architecture for robust suspicious activity detection in online examinations
  Proceedings of the Indian National Science Academy 2026 DOI: 10.1007/s43538-026-00847-2
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• Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions
  IEEE Open Journal of Industry Applications 2024 DOI: 10.1109/OJIA.2024.3399057
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• Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
  Open Life Sciences 2023 DOI: 10.1515/biol-2022-0665
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• A Sentiment Analysis-Based Recommender Framework for Massive Open Online Courses Toward Education 4.0
  Proceedings of Third International Conference on Computing, Communications, and Cyber-Security 2023 DOI: 10.1007/978-981-19-1142-2_64
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• Federated Learning for the Internet-of-Medical-Things: A Survey
  Mathematics 2022 DOI: 10.3390/math11010151
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• A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
  Research Anthology on Smart Grid and Microgrid Development 2022 DOI: 10.4018/978-1-6684-3666-0.ch040
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• Secure 5G-Assisted UAV Access Scheme in IoBT for Region Demarcation and Surveillance Operations
  IEEE Communications Standards Magazine 2022 DOI: 10.1109/MCOMSTD.0001.2100057
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• A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
  2021 DOI: 10.4018/978-1-7998-2795-5.ch008
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• Analysis of Hybrid Buffer Based Optical Data Center Switch
  Journal of Optical Communications 2021 DOI: 10.1515/joc-2018-0121
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