Dr. Ajay Kumar

About

Dr. Ajay Kumar has completed a Master of Engineering (CSE) and a Ph.D. in Computer Science and Engineering from Thapar University Patiala, India. Currently, he is working as an assistant professor (selection grade) at the School of Business, UPES Dehradun (India). He has over 14 years of experience in industry, academics, research, and administration to his credit. His areas of expertise include cloud computing, big data analytics, software engineering, and machine learning. His current research focuses on large-scale storage management in cloud computing and bioinformatics. He has published many research papers in conferences and journals of repute.

Employment

• UPES Teaching Faculty
  2025 - Present
• Gopal Narayan Singh University Associate Professor
  2023 - 2025
• Marwadi University Associate Professor
  2021 - 2022
• Chitkara University Assistant Professor
  2020 - 2021
• Seth Jai Parkash Mukand Lal Institute of Engineering and Technology Assistant Professor
  2019 - 2020
• Thapar University Teaching Associate
  2018 - 2019
• Mewar University Chittorgarh Rajasthan INDIA Assistant Professor and Head
  2010 - 2017

Education

• Thapar University Ph. D.
  2011 - 2019
• Thapar University Master of Engineering
  2008 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• High Availability Ultra-Large Cloud-Oriented Storage Systems: A Review, Mind Mapping and Open Research Directions
  ACM Computing Surveys 2026 DOI: 10.1145/3831665
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• An efficient model to estimate and optimise the cloud migration costs from on-premises web apps
  Discover Computing 2025 DOI: 10.1007/s10791-025-09666-3
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• Machine and deep learning techniques for smart healthcare industry: Big picture and open research challenges
  Intelligent Biomedical Technologies and Applications for Healthcare 5.0 2025 DOI: 10.1016/b978-0-443-22038-8.00017-9
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• A secure framework for the Internet of Things anomalies using machine learning
  Discover Internet of Things 2024 DOI: 10.1007/s43926-024-00088-z
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• 5G with IoT: Progressive Trends in Energy Efficiency Integration
  International Journal of Information Science and Computing 2024 DOI: 10.30954/2348-7437.2.2024.3
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• iDP: ML-driven diabetes prediction framework using deep-ensemble modeling
  Neural Computing and Applications 2023 DOI: 10.1007/s00521-023-09184-7
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• WoS-Driven Bibliometric Analysis on Plant Disease Prediction Model
  2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2023 DOI: 10.1109/icecct56650.2023.10179663
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• Analyzing Security and Privacy issues for Multi-Cloud Service Providers Using Nessus
  Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2023 DOI: 10.1109/ICECCT56650.2023.10179727
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• A Systematic Survey on Fog and IoT Driven Healthcare: Open Challenges and Research Issues
  Electronics 2022 DOI: 10.3390/electronics11172668
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• Big data dimensionality reduction techniques in IoT: review, applications and open research challenges
  Cluster Computing 2022 DOI: 10.1007/s10586-022-03634-y
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