Bio
Avishek Bose is a postdoctoral research associate in the Learning Systems Group within the Computer Science and Mathematics Division (CSMD) at Oak Ridge National Laboratory. His current research focuses include learning molecular graph representation for material property prediction and drug effect prediction using graph neural networks, power outage estimation during extreme weather conditions, creating explainable knowledge from large language Models (LLMs), etc.
He received his Ph.D. in Computer Science from Kansas State (KState) University in December 2022. Previously, he worked as a research assistant at the KnowledgHe Discovery in Databases (KDD) Lab since June 2018, where he led projects in the natural language processing research and technical search committee. He also served as the president of the Computer Science Graduate Student Association (CSGSA). He was awarded the Graduate Student of the Month in Carl R. Ice College of Engineering at K-State. He has a master's degree (2015) and a bachelor's degree (2013) in Computer Science and Engineering from the University of Dhaka, Bangladesh. During his master's degree, he was awarded a fellowship for extensive research work from the Ministry of ICT, the People's Republic of Bangladesh.
In his research career, he has published 17 peer-reviewed conference papers and 2 journals, of which he is the first author of 12 conference papers. He has been a reviewer in many journals and conferences including TNNLS, ETRI, and IJITDM journals. Currently, he is continuing theoretical and applied research, such as improving graph learning representation, predicting material properties, minimizing human supervision in machine learning using large language models, social network analysis, cyber threat mining, quantum logic design, high-performance computing, etc. Besides academia and research, he also worked as a software developer at the Dutch-Bangla Bank in Bangladesh, where he took part in implementing task-specific backend applications.