School of Applied Sciences
Chemical Graph Theory, Machine learning, and Domination Theory
Ph.D., 2019, Visvesvaraya Technological University, Belgavi, Karnataka
Academic- 20 years
“BEST TEACHER” for the year 2018 for the overall excellence in Teaching and Institutional Activities.
http://www.orcid.org/0000-0002-1422-8714
https://vidwan.inflibnet.ac.in/profile/229979
http://www.scopus.com/authid/detail.url?authorId=57218934186
Key Publications (Only Q1 & Q2 rated)
Dr. U. Vijaya Chandra Kumar has been actively engaged in advanced research for over two decades, with significant contributions in the fields of Chemical Graph Theory, Domination Theory, and Machine Learning applications in Graph Networks and Materials Science. His research primarily focuses on developing novel graph-theoretical models and topological descriptors to analyze and predict structural, chemical, and physical properties of complex molecular systems and nanomaterials.
His work bridges mathematical graph theory with computational intelligence, particularly emphasizing domination-related parameters, degree-based and distance-based topological indices, and their applications in chemical graph modeling, drug-likeness prediction, and nanomaterial characterization. Recently, he has extended his research toward AI-driven predictive modeling for materials and entropy-based topological descriptors in chemical and biological networks.
Dr. Kumar has authored more than 30 research publications in reputed Scopus and Web of Science indexed journals, including high-impact Q1 and Q2 rated journals such as Results in Engineering (Elsevier), Applied Physics A (Springer), and Baghdad Science Journal. His research papers have contributed to emerging areas like graph energy prediction, chemical informatics, and AI-assisted molecular analysis.
In addition, Dr. Kumar has published five Indian patents, covering innovations in AI-driven health monitoring systems, intelligent agricultural drones, and nutrient deficiency detection using graph-based image analysis, reflecting his applied interdisciplinary approach.
He has successfully guided one Ph.D. scholar, Dr. Anjaneyulu Mekala, who was awarded a doctoral degree in 2024 for his thesis titled “Some Contributions to Theory of Domination in Graphs.”
Through his consistent academic and research pursuits, Dr. Kumar continues to integrate mathematical theory, artificial intelligence, and chemical graph modeling, contributing significantly to the development of data-driven approaches in theoretical chemistry, material sciences, and applied graph theory.