PHI Learning
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
RAJA MARAPPAN, Ph.D., is an Associate Professor at the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) – Chennai, Tamil Nadu, India. He has over 25 years of professional experience with outstanding academic records including UGC-NET (2012) and Ph.D. in Graph Coloring and its Application from SASTRA University. He developed four-quadrant lecture materials with 30+ hours of video lectures for the SWAYAM courses – Fundamentals of Data Structures & Algorithms, and Design & Analysis of Algorithms at SASTRA University. He completed several NPTEL courses with Elite and Silver certifications and ranked in the top 5% in Data Structures and Algorithms using Java. He has published more than 20 articles in various national and international peer-reviewed journals. He has presented more than 20 papers at international conferences and has received the Best Paper Awards at IEEE conferences in 2013, 2022, and 2025. His research focuses on solving real-world problems, with interests in Algorithmic Computing, Evolutionary Computing, and Simulation & Modeling. He has also completed several collaborative consultancy projects, including the NPOL CARS Project in Kochi, India. He is a lifetime ISSE member and a reviewer for international peer-reviewed journals.
PARVATHI RAMASUBRAMANIAN, Ph.D., is a Professor at the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) – Chennai, Tamil Nadu, India. She received her Ph.D. in Spatial Data Mining from Anna University, and has over 25 years of teaching and research experience. Her research expertise spans Data Mining, Data Analytics, Machine Learning, Deep Learning, and Image Analytics, with applications in Healthcare, Sustainable Agriculture, and Intelligent Systems. She has published extensively in reputed international journals and conferences and has supervised several postgraduate and doctoral students. She has also contributed to collaborative research projects, focusing on data-driven approaches to address real-world challenges. In addition to her academic contributions, she has served as a reviewer and technical committee member for leading journals and conferences. Her ongoing work emphasizes innovation in AI-driven Analytics, Fostering Trust, Explainability, and Sustainability in Intelligent Systems.
PATTABIRAMAN VENKATASUBBU, Ph.D., is a Professor at the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) – Chennai, Tamil Nadu, India. He has over 25 years of professional experience and has published over 50 papers in various national and international peer-reviewed journals. He has also presented several papers at international conferences and has authored three books and 10 book chapters with the renowned publishers. His research interest includes Knowledge Discovery and Data Mining, Big Data Analytics, Machine Learning, Deep Learning, and AI & Healthcare applications. He has received several awards for excellence in academic and research in his career. He is a senior member of the IACSIT, and a member of various professional societies, namely ACM, ISTE, SRISP, AIRCC.
