Vineeth Rakesh Mohan
Research Scientist IV
Research areas: Probabilistic and interpretable machine learning, recommender systems, natural language processing and active learning
Dr. Vineeth Rakesh Mohan joined Visa Research as a Research Scientist IV in December 2021. Vineeth received his Ph.D. in Computer Engineering from Wayne State University in 2017. He then did his postdoctoral research at Arizona State University from 2017-2018. Prior to joining Visa, he was a researcher at Interdigital. He was responsible for the research and development of projects on search and information retrieval systems. Before joining Interdigital, he worked as a researcher at Technicolor on topics such as user behavior modeling and personalized recommendation systems.
As a member of the Transaction Insight team, Vineeth’s research interests are broadly in probabilistic machine learning, generative models, natural language processing, recommendation systems, graph neural networks and their various business applications in deep authentication and anomaly detection. Vineeth brings extensive knowledge in applied machine learning as well as experience in industry. He has published over 20 research papers at top-tier conferences such as WWW, WSDM and CVPR. He is excited to develop solutions to the real-world sequence and graph learning problems and advance AI empowered payment systems.