Bio
Dr. Kislay Raj is a researcher and lecturer specialising in Artificial Intelligence, Machine Learning, and Data Analytics. He holds a PhD in Computer Science from Dublin City University, Ireland, and has published research in leading international conferences, including CIKM, ECAI, NeSy, and NeurIPS, as well as Q1-ranked journals. He has an h-index of 17. His research focuses on Explainable AI, Graph Neural Networks, Neuro-Symbolic AI, and Trustworthy Machine Learning, with current interests in hybrid quantum–classical machine learning, Quantum Graph Neural Networks, quantum-native machine learning, and explainable and trustworthy Quantum AI. His work aims to develop efficient, interpretable, and reliable learning methods while exploring the potential of quantum computing to advance machine learning and artificial intelligence. Alongside his research, he teaches undergraduate and postgraduate students in AI, Machine Learning, Statistics, and Data Analytics, and has supervised numerous MSc research projects.
