David Doermann

David Doermann is a Professor and Department Chair of the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research focuses on document image understanding, video analysis, pattern recognition, computer vision, media forensics, and artificial intelligence.

Education:

• PhD in Computer Science, University of Maryland, College Park (1993)
• MS in Computer Science, University of Maryland, College Park (1989)
• BS in Computer Science/Mathematics, Bloomsburg University of PA (1986)

Research Interests: Dr. Doermann's work spans computer vision, document analysis, and AI, with recent emphasis on histopathology image synthesis, motion prediction, and personalized vision-language models. His publications highlight advancements in neural architecture search, federated learning, and binary neural networks.

Scientific Awards:

• Award for Excellence from the Under Secretary of Defense (2017)
• DARPA Results Matter Award (2016)
• IEEE Fellow (2014)
• IAPR Fellow (2014)
• Royal Academy of Engineering Fellowship (2011-2013)
• Honorary Doctorate from University of Oulu (2002)

Future Work: He is exploring the integration of generative AI in software development and advancing techniques for human-centric video-depth generation.