Dr. Ajay Kumar

Dr Ajay Kumar is an academic and researcher specialising in Machine Learning, Cloud Computing, Big Data, and Data Analytics. With over 13 years of teaching and six years of research experience, he has contributed to both academic and applied research. He holds a PhD from Thapar University, with research focused on scalable data access and integration in cloud environments.

His work is published in SCI/SCIE and Scopus-indexed journals, covering areas such as cloud storage systems, deep learning, IoT-based analytics, and optimisation techniques. He has also served as Adjunct Professor (LJMU–UpGrad) and contributes as a reviewer, editor, and academic coordinator.

Dr Kumar has over 13 years of teaching experience across institutions including Gopal Narayan Singh University, Chandigarh University, Marwadi University, Chitkara University, JMIT, and Mewar University. He has also served as Adjunct Professor (LJMU–UpGrad), thesis supervisor, and academic coordinator.

Machine learning; deep learning; cloud computing; big data analytics; IoT-based systems; meta-heuristic optimisation; storage systems; healthcare analytics; serverless computing.

His teaching adopts a learner-centred approach focused on conceptual clarity and practical application. He integrates hands-on learning, case-based discussions, and project work to build analytical thinking and problem-solving skills aligned with industry requirements.

Machine Learning; Web Technology; Data Structures and Algorithms; Object-Oriented Programming; Data Analytics; Cloud Computing; Computational Statistics; Discrete Mathematics; Computer Programming; Software Engineering; Computer Architecture; Python and R Programming; Web Analytics.

• Best Teaching and Research Award (2012) A+ Grade in FDP (2013)
• Coordinated AICTE-sponsored ATAL FDPs (2024) with grants of ₹3,50,000 and ₹1,00,000

Dr Kumar has published in SCI/SCIE journals including Neural Computing and Applications, Soft Computing, Cluster Computing, Computing, Electronics, and Discover Computing and Discover Internet of Things. His research focuses on machine learning applications in healthcare, IoT-based systems, cloud storage, and optimisation techniques.

He serves as a reviewer for journals such as International Journal of Intelligent Systems, Soft Computing, Cluster Computing, IET Software, and PeerJ Computer Science. He has also presented at international conferences, contributed to Scopus-indexed book chapters, and supported academic processes, workshops, and institutional initiatives.

ajay.kumar1@ddn.upes.ac.in