Timeline

2014
Yanif Ahmad
Yanif Ahmad

Yanif Ahmad studies and designs novel abstractions for large-scale data management. He is affiliated with the Data Management Systems Lab; Computer Systems Research Group and the Institute for Data-Intensive Engineering and Science. His research spans foundations and applications, with the K3 project realizing programming abstractions for declarative, democratized construction of distributed data systems, and the Molecular Dynamics Database pursuing data-intensive computing architectures and analytics for large biological datasets. Ahmad received his Ph.D. from Brown University in 2009. Flyer

Bernd Hamann
Bernd Hamann

Bernd Hamann studied mathematics and computer science at the Technical University of Braunschweig, Germany, and Arizona State University. At the University of California, Davis, he teaches computer science courses, with a focus on visualization, geometric design and modeling, and computer graphics. Jointly with his students, post-doctoral scholars and other collaborators he has contributed to the development of techniques for the analysis and visual exploration of complex, large scientific data. Flyer

Ken Joy
Ken Joy

Ken Joy is a Professor in the Computer Science Department at the University of California at Davis. He came to UC Davis in 1980 in the Department of Mathematics and was a founding member of the Computer Science Department in 1983. Professor Joy's research and teaching interests are in the area of visualization, geometric modeling, and computer graphics. He is the Director of the Institute for Data Analysis and Visualization (IDAV) at UC Davis. This Institute provides an interdisciplinary research environment where practical data exploration problems from a variety of driving applications can be addressed. Within this environment, and with his research colleagues and graduate students, Professor Joy has collaborated on a large number of projects involving large-scale data analysis, multiresolution modeling, computer vision, data compression, flow visualization, query-driven visualization, and the visualization of uncertainty. He is the principal investigator, or co-principal investigator, on a number of grants involving material interface reconstruction, exploration of wide-area high-resolution aerial video, flow visualization, and uncertainty visualization. Professor Joy has won numerous teaching awards at UC Davis. He was awarded the Distinguished Teaching Award, UC Davis' highest honor in 1996, was awarded the Faculty Advisor of the Year in 1995, and has won numerous departmental- and student-based awards. He is a member of the Association for Computing Machinery (ACM) and the IEEE Computer Society. He is a Visiting Scientist at Lawrence Livermore National Laboratory, and a Faculty Computer Scientist at Lawrence Berkeley National Laboratory. He was co-chair of the EuroVis 2005 and 2006 conferences, was co-organizer of the Dagstuhl 2005 and 2007 Visualization Seminars, and serves on a number of conference program committees. He was general chair of the 2007 IEEE Visualization Conference, held in Sacramento CA, and was senior chair of the 2008 IEEE Visualization Conference, held in Columbus OH. He has served on numerous national committees that set the course for the future of the visualization field. Professor Joy received a B.A. (1968) and M.A. (1972) in Mathematics from UCLA, and a Ph.D. (1977) in Mathematics from the University of Colorado, Boulder. He has worked a number of years in the computer industry, and consults regularly on visualization, massive data analysis and geometric modeling. Flyer

Greg Abram
Greg Abram

Greg Abram is a visualization researcher at the Texas Advanced Computing Center, a research division of the University of Texas at Austin. Prior to joining TACC, he was at the IBM TJ Watson Research Center. He received his Ph.D. from the University of North Carolina at Chapel Hill in 1986. Flyer

Remco Chang
Remco Chang

Remco Chang is an Assistant Professor in the Computer Science Department at Tufts University. He received his BS from Johns Hopkins University in 1997 in Computer Science and Economics, MSc from Brown University in 2000, and PhD in computer science from UNC Charlotte in 2009. Prior to his PhD, he worked for Boeing developing real-time flight tracking and visualization software, followed by a position at UNC Charlotte as a research scientist. His current research interests include visual analytics, information visualization, and HCI. His research has been funded by NSF, DHS, and Draper. Flyer

David Thompson
David Thompson

Dr. Thompson is an R&D Engineer who aims to be a generalist. His interests include conceptual design, solid modeling, computational simulation and visualization, and mechatronics. Dr. Thompson received his B. S. in Mechanical Engineering from Louisiana State University in 1992 and went on to earn a M. S. in Engineering and a Ph. D. from the University of Texas at Austin. He joined Sandia National Laboratories in 2001 and Kitware in 2012. His graduate research included computational tools for rapid prototyping techniques; a feasibility study of a geometric technique for conceptual mechanical design that yielded lumped-parameter models for concept selection; and an approach for parallel isocontouring. At Sandia, his work included developing visualization techniques for higher-order finite elements and monitoring HPC platforms to detect and statistically characterize failures.

2013
Han-Wei Shen
Han-Wei Shen

Han-Wei Shen is a full professor with the Department of Computer Science and Engineering at The Ohio State University, USA. He received his BS degree from Department of Computer Science and Information Engineering at National Taiwan University in 1988, the MS degree in computer science from the State University of New York at Stony Brook in 1992, and the PhD degree in computer science from the University of Utah in 1998. From 1996 to 1999, he was a research scientist at NASA Ames Research Center in Mountain View California. His primary research interests are scientific visualization and computer graphics. Professor Shen is a winner of National Science Foundation's CAREER award and US Department of Energy's Early Career Principal Investigator Award. He also won the Outstanding Teaching award twice in the Department of Computer Science and Engineering at the Ohio State University. Flyer

Alexander Szalay
Alexander Szalay

Alexander Szalay is the Alumni Centennial Professor of Astronomy at the Johns Hopkins University, and Professor in the Department of Computer Science. He is the Director of the Institute for Data Intensive Science. he is a cosmologist, working on the statistical measures of te spatial distribution of galaxies and galaxy formation. He is a Corresponding Member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004 he received an Alexander Von Humboldt Award in Physical Science, in 2007 the Microsoft Jim Gray Award. In 2008 he became Doctor Honoris Causa of the Eotvos University, Budapest. Flyer

Kwan-Liu Ma
Kwan-Liu Ma

Kwan-Liu Ma is a professor of computer science and the chair of the Graduate Group in Computer Science (GGCS) at the University of California, Davis. He leads the VIDi research group and directs the DOE SciDAC Institute for Ultrascale Visualization. Professor Ma received his PhD degree in computer science from the University of Utah in 1993. He was a recipient of the PECASE award in 2000. His research interests include visualization, high-performance computing, and user interface design. Professor Ma is an IEEE Fellow, and a founder of the IEEE Pacific Visualization Symposium and IEEE Symposium on Large Data Analysis and Visualization. Flyer

Edward Givelberg
Edward Givelberg

Edward Givelberg is a research scientist with the Department of Physics and Astronomy at Johns Hopkins University. He received his PhD degree in mathematics from New York University in 1997. He was a research scientist in mathematics at New York University, Courant Institute in 2004 and in computer science at UC Berkeley in 2002. Givelberg also was an assistant professor at the University of Michigan in 1999. His specialties include large-scale simulations of complex physical systems, numerical solutions of partial differential equations, fluid-structure interactions, and cochlear modeling and hearing research. Flyer