Biography:
Madhav Lolla is currently a Ph.D. candidate in Computer Science at the College of Engineering and Applied Sciences, University of Cincinnati, where he began his doctoral studies in early 2018. His research focuses on Artificial Intelligence, Machine Learning, and Brain-Computer Interfaces (BCIs), with an emphasis on cognitive modeling and neural signal analysis. He has also served as a Lecturer in the School of Informatics, College of Informatics, Northern Kentucky University, where he taught several courses in programming and computer science.
Title : Mapping visual action representations in the brain via LLaVa-derived semantic features