The University at Buffalo has a long history of conducting groundbreaking research in artificial intelligence-related fields. The Artificial Intelligence Institute is proud to be affiliated with these Centers of Excellence.
The Center of Excellence for Document Analysis and Recognition (CEDAR) conducts research in the areas of pattern recognition, machine learning, data mining, information retrieval and computational linguistics. Its groundbreaking research was instrumental in advancements in handwriting recognition at the United States Postal Service (USPS).
The Center for Unified Biometrics and Sensors (CUBS) is focused on advancing the fundamental science of biometrics and providing key enabling technologies to build engineered systems. Researchers at UB are taking a unified view of biometric technologies by integrating software algorithms for accurate identification of various biomentrics and data analysis with hardware acquisition devices.
The Sustainable Manufacturing and Advanced Robotic Technologies Center of Excellence brings together the talents of UB’s engineering, architecture, management, economics and health sciences faculty to advance research in the areas of Analytics and Intelligence, Data and Interoperability, Digital-to-Physical Conversaion and Human-Machine Interaction.
Dr. Rahul Rai is leading of group of UB researchers as performers on a DARPA project entited: Physics Learning (PLEA): A Hybrid Physics Guided Machine Learning Approach for Predictive Modeling of Complex Systems.