David Doermann, PhD
Department of Computer Science and Engineering
Dr. David Doermann is a Professor of Empire Innovation at the University at Buffalo (UB) and the Director of the University at Buffalo Artificial Intelligence Institute. Prior to coming to UB he was a program manager at the Defense Advanced Research Projects Agency (DARPA) where he developed, selected and oversaw approximately $150 million in research and transition funding in the areas of computer vision, human language technologies and voice analytics. He coordinated performers on all of the projects, orchestrating consensus, evaluating cross team management and overseeing fluid program objectives.
From 1993 to 2018, David was a member of the research faculty at the University of Maryland, College Park. In his role in the Institute for Advanced Computer Studies, he served as Director of the Laboratory for Language and Media Processing, and as an adjunct member of the graduate faculty for the Department of Computer Science and the Department of Electrical and Computer Engineering. He and his group of researchers focused on many innovative topics related to analysis and processing of document images and video including triage, visual indexing and retrieval, enhancement and recognition of both textual and structural components of visual media. David has over 250 publications in conferences and journals, is a fellow of the IEEE and IAPR, has numerous awards including an honorary doctorate from the University of Oulu, Finland and is a founding Editor-in-Chief of the International Journal on Document Analysis and Recognition.
David also successfully co-founded and managed Applied Media Analysis, Inc, building a team of 12 research and developers from 2001-2014. He recognized the need for a cross platform implementation of computer vision algorithms on mobile devices and developed the architecture to port basic image processing and document analysis capabilities to various devices from a wide range of manufacturers. The work, which was supported by Small Business Innovative Research grants, government contracts, Nokia and Ricoh, resulted in the ability to implement an early version of both barcode readers (1D and 2D) and optical character recognition technologies on many devices.
David is a leading researcher and innovative thinker in the areas of document image analysis and recognition. He is interested in applying his skills in leadership, mentoring and transition of research to help change the way we perceive and comprehend visual information. The impacts and scale of David's interests are global because documents range from containers for textual and visual info-graphics to dynamic powerful resources that have the ability to seamlessly drive business processes in today’s evolving digital environment.