Rate My Professor Dharshana Kasthurirathna

Dr. Dharshana Kasthurirathna is a Senior Lecturer (Higher Grade) in the Department of Software Engineering within the Faculty of Computing at the Sri Lanka Institute of Information Technology (SLIIT). He earned his PhD in Complex Systems from the University of Sydney in 2015, with a thesis titled "The influence of topology and information diffusion on networked game dynamics." He also holds an MSc in Computer Science from the University of Colombo and a BSc in Computer Science and Engineering from the University of Moratuwa, where he received the "Outstanding Academic Performer" award from the Computer Science & Engineering Society.

Dr. Kasthurirathna specializes in network science, game theory, machine learning, information theory, distributed systems, and parallel computing. His research interests include complex networks, network topology, supply chain networks, evolutionary game theory, computer vision, and AI-driven systems. Prior to his current role, he served as a Research Engineer at LIRNEasia and worked as a Software Engineer for seven years. Key publications include "Node assortativity in complex networks: An alternative approach" (Procedia Computer Science, 2014; 75 citations), "Emergence of scale-free characteristics in socio-ecological systems with bounded rationality" (Scientific Reports, 2015; 52 citations), "Topological structure of manufacturing industry supply chain networks" (Complexity, 2018; 46 citations), "Influence of topology in the evolution of coordination in complex networks under information diffusion constraints" (The European Physical Journal B, 2014; 28 citations), "Modeling networked systems using the topologically distributed bounded rationality framework" (Complexity, 2016), "Optimising influence in social networks using bounded rationality models" (Social Network Analysis and Mining, 2016), and "Quantifying the Robustness of Complex Networks with Independent, Non-Identically Distributed Edge Weights" (Mathematics, 2021). His scholarship has garnered over 1,000 citations, influencing advancements in networked systems analysis and robustness.