Tisch University Professor of Computer Science, Cornell University
Jon Kleinberg's research focuses on the interaction of algorithms and networks, and the roles they play in large-scale social and information systems. He is the author of the books "Algorithm Design" (with Eva Tardos) and "Networks, Crowds, and Markets" (with David Easley). He is a member of the National Academy of Sciences and the National Academy of Engineering. Kleinberg is the recipient of research fellowships from the MacArthur, Packard, Simons, and Sloan Foundations, as well as awards including the Harvey Prize, the Nevanlinna Prize, and the ACM Prize in Computing.
Professor of Statistics, Pennsylvania State University
Jia Li's research interests include statistical/machine learning, probabilistic graph models, image processing, retrieval/annotation, composition analysis, and applications in biomedicine and meteorology. She also worked as a Program Director at the National Science Foundation from 2011 to 2013, a Visiting Scientist at Google Labs in Pittsburgh from 2007 to 2008, a researcher at the Xerox Palo Alto Research Center from 1999 to 2000, and a Research Associate in the Computer Science Department at Stanford University in 1999. She received the M.Sc. degree in Statistics (1998) and the Ph.D. degree in Electrical Engineering (1999) from Stanford University.
W. A. "Tex" Moncrief Jr. Chair in Computational Engineering and Sciences; Professor of Mechanical Engineering in Thermal Fluid Systems, University of Texas at Austin
Robert D. Moser serves as the Director of the Center for Predictive Engineering and Computational Sciences (PECOS) and Deputy Director of the Institute for Computational Engineering and Sciences (ICES). Moser received his Ph.D. in mechanical engineering from Stanford University. Before coming to the University of Texas, he was a research scientist at the NASA-Ames Research Center and then a Professor of Theoretical and Applied Mechanics at the University of Illinois. Moser conducts research on the modeling and numerical simulation of turbulence and other complex fluid flow phenomena. He also uses direct numerical simulation to investigate and model turbulent flows, particularly the development and evaluation of large eddy simulation models. Moser has also been working to develop new approaches for the validation of and quantification of uncertainty in computational models and to assess their reliability. He has pursued applications to such diverse systems as reentry vehicles, solid propellant rockets, micro-air vehicles, turbulent combustion, tokamak fusion and energy harvesting. He is a Fellow of the American Physical Society, and was awarded the NASA Medal for Exceptional Scientific Achievement.
Assistant Professor, Department of Computer Science, Cornell University
Karthik Sridharan's research includes machine learning, online and sequential prediction and optimization. He obtained his M.S. degree from University at Buffalo and received his Ph.D. at the Toyota Technological Institute at Chicago. He was a postdoctoral research scholar at University of Pennsylvania before starting as a faculty at Cornell University. He has received the NSF CAREER award, a Sloan Fellowship.
HPC Applications/Systems Analyst, Center for Computational Research, University at Buffalo
Cynthia Cornelius received a B.A. in computer science, mathematics and statistics joint major and a MLS, both from the University at Buffalo.
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 Davids 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.
Associate Director and Lead Computational Scientist, Center for Computational Research, University at Buffalo
Dr. Matthew Jones has a PhD in physics from the University of Illinois at Urbana-Champaign.