Editorial Board

Managing Editor at IJCSDI and Professor at USCS, Uttaranchal University, Dehradun, India. Leading scholar overseeing publication workflow, double-blind peer-review integrity, and journal management.

Dr. Kamlesh Chandra Purohit a Ph.D. and M.Tech. Computer Science and engineering from Graphic era deemed to be University Dehradun and has been affiliated with the Department of Computer Science and Engineering (CSE) at Graphic Era Deemed to be University. With over 20 years of experience in research and academia, he has supervised 7 Ph.D. candidates. He has also supervised 15 M.Tech. students for their dissertations. Currently serving as Professor in the Department of Computer Science and Engineering, He has more than 45 research publications in national and international journals, along with 2 granted patents and 4 published works. He has published many book chapters. He is a reviewer of various Journals and Conference Proceedings.

I am an Academician, Researcher, Administrator, and Team Leader with over 20 years of academic experience. I teach Applied Mathematics and Operations Research to undergraduate and postgraduate students and am passionate about teaching, mentoring, and helping students achieve their career goals. As a researcher, my areas of interest are Inventory Control and Applied Mathematics. I hold a Ph.D. in Inventory Control from Uttarakhand Technical University, Dehradun, with the thesis titled “Probabilistic EOQ Model under Inflation Rate.” I have presented research papers at national and international conferences, received a Best Paper Award, published research papers in reputed journals, and participated in various research workshops.

Dean at School of Computer Applications in Tulas University, Dehradun, India. Expert in Networking protocols, Cyber Security architectures, and resilient information infrastructure.

Assistant Professor at USCS, Uttaranchal University, Dehradun, India. Research focus includes Machine Learning models, Deep Learning architectures, and cognitive data analytics.

Dr. Dinesh C. Dobhal is an Associate Editor at IJCSDI and Professor at Graphic Era University, Dehradun, India, with research interests in network and cyber security, optimization problems, and artificial intelligence applications. His work includes machine learning and deep learning approaches for healthcare, intelligent system design, and network performance optimization. With several publications in international journals and conferences, his research has been cited widely, reflecting an active contribution to interdisciplinary computing and engineering fields.

Dr. Vinod Kumar holds a Ph.D. in Cloud Computing, Data Security, and Data Access from Shobhit University, Saharanpur, Uttar Pradesh. His research focuses on data access control mechanisms and security frameworks in cloud computing environments, reflecting his commitment to strengthening secure and efficient cloud-based systems. With over 14 years of experience in teaching and research, he has developed a strong foundation in computer programming languages and diverse computer applications. His academic and research contributions have significantly enriched the field, demonstrating sustained engagement with emerging technologies and innovative computing solutions.

Dr. Sharma is an accomplished researcher with expertise in Soft Computing, Renewable Energy, Image Processing, AI-ML, Cloud Computing, and Big Data Analytics. She has 39 Scopus-indexed publications, including 13 journal articles and 26 conference papers, along with 1 SCI-indexed publication and 13 book chapters/abstracts. She holds 16 patents, including 5 granted and 11 published, and has received over 739 citations with an h-index of 16 and i10-index of 20. She is a recipient of seven prestigious awards and over 258 academic and professional recognitions. She has served as a resource person 31 times and contributed as a reviewer, TPC member, and evaluator for over 97 journals and conferences. She has completed 63+ FDPs, workshops, and training programs and is currently guiding one Ph.D. scholar, actively contributing to interdisciplinary research, innovation, and academic mentoring.

Associate Professor at USCS, Uttaranchal University, Dehradun, India. Active researcher in Machine Learning models, Natural Language Processing, Topic Modeling, and Distributed Real-Time Systems.

Associate Professor in the Department of Computer Engineering & Applications at Maya Devi University, Dehradun, India. Active researcher in Computer Engineering, intelligent digital systems, and computational applications.

Dr. Vijaylakshmi Sajwan is an Associate Professor in the Department of Computer Science and Engineering and Head of the Department of Computer Applications at Shivalik College of Engineering. She holds an MCA from IGNOU, an M.Tech from Graphic Era University, and a Ph.D. from Himgiri Zee University, with over 14 years of teaching and research experience and active membership in IEEE and Soft Computing Research Society. Her research interests include Image Processing, Artificial Intelligence, and Machine Learning, and she has published over 20 papers in Scopus-indexed journals and IEEE conference proceedings. She is the author of The Ultimate Java Handbook: Learn, Code and Succeed, Machine Learning and Artificial Intelligence: Multidisciplinary Concepts & Applications, and Concepts of Machine Learning, and holds five published patents in AI- and IoT-based systems.

Dr. Vandana Rawat is an Assistant Professor in the Department of Computer Science and Engineering at Graphic Era (Deemed to be University), Dehradun, India. She holds an M.Tech. and a Ph.D. in Computer Science and Engineering (CSE). She has authored and co-authored 50+ research publications in SCI- and Scopus-indexed journals, international conferences, and book chapters. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Big Data Analytics, and Cloud Computing, with a particular focus on AI and ML applications in healthcare. She has also served as a reviewer for numerous research publications associated with reputed publishers and organizations, including Elsevier, Springer, and IEEE. Her academic contributions encompass teaching, research, scholarly publishing, and mentoring, with a commitment to advancing innovative and interdisciplinary research.