Rudra Atri

Rudra Atri is the Katherine Johnson Chair in Artificial Intelligence and a Professor in the Department of Computer Science and Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on structured linear algebra, society and computing, coding theory, and database algorithms. He holds a PhD from the University of Washington (2007), an MS from the same institution (2005), and a B.Tech from the Indian Institute of Technology (2000).

Dr. Atri has received numerous accolades, including the SUNY Chancellor's Award for Excellence in Teaching (2022), the UB Teaching Innovation Award (2021), and the NSF CAREER Award (2009). His work spans theoretical computer science, machine learning, and practical applications in databases and bioinformatics. He is affiliated with the National Center for Women & Information Technology and the Center of Excellence for Document Analysis and Recognition (CEDAR), contributing to socially responsible computing initiatives.

His research explores efficient algorithms for linear algebra, probabilistic databases, and neural network architectures, with publications on topics ranging from sparse recovery to quantum computing simulations. Atri’s teaching and mentorship are widely recognized, emphasizing both technical rigor and ethical considerations in computing.