The BioInstrumentation Laboratory in the Department of Mechanical Engineering at MIT is dedicated to the development of novel modern medical instrumentation requiring the combination of many traditional disciplines including biology, optics, mechanics, mathematics, electronics and chemistry. It is uniquely placed to bring together these areas of research with its broad array of students and post doctoral research scientists from Mechanical Engineering, Electrical Engineering, Physics, Chemistry, Materials Science and Biology. In addition, we have extensive laboratory facilities including mechanical, electrical and optical work shops, a BL2 biology work area, a chemistry laboratory and a clean room complete with an electron microscope. These facilities allow our researchers to move quickly from a medical device concept to a prototype and rapidly iterate their designs.
Dr. Bhatia is the group leader for the Grid Development group at the San Diego Supercomputer Center (SDSC). The group is funded by various grid projects to build grid middleware components for existing and emerging cyberinfrastructure projects. The group is developing a wide variety of software, including GEMSTONE, INCA, and GEON Systems components among others. Prior to joining SDSC, Dr. Bhatia was a senior engineer at Entropia, a enterprise distributed computing infrastructure company. Dr. Bhatia received a PhD in Computer Science from UCSD specializing in distributed computing and fault tolerance.
Gully studied physics as an undergraduate at Imperial College in London, when, half-way through a early-morning Friday lecture on detectors for sub-atomic particles, he had an epiphany that he wanted to study how the brain works. He started a Ph.D. at Oxford, only to find that the theoretical foundations of neuroscience were not the stringent, mathematically-defined coda he was used to. Since then, Gully has striven to formalize the theoretical basis of his subject by building practical systems that might be used in laboratories. Since completing his Ph.D., he has worked as a postdoc and then an assistant research professor in the neuroanatomy laboratory of Professor Larry Swanson at USC.
Cohen was a Senior Software Developer at the Texas Advanced Computing Center, but has just recently started graduate school at the University of Pennsylvania.
Dr. Milton Corn is Associate Director of the National Library of Medicine (NLM), and Director of the Library’s grant programs. He is a graduate of Yale College and Yale Medical School. Post-graduate training includes internal medicine at Harvard’s Peter Bent Brigham Hospital, and hematology at Johns Hopkins. Most of his academic career was spent at Georgetown University School of Medicine, where he held the appointment of Professor of Medicine. In 1984-85 he was Medical Director of Georgetown University Hospital. He served as Dean of Georgetown’s Medical School 1985-89. He joined N.I.H. in 1990, and administers a broad spectrum of grant programs in the domain of biomedical computing relevant for basic research, health care delivery and education. He is board-certified in internal medicine and hematology, and is a fellow of the American College of Physicians and of the American College of Medical Informatics.
He is a Professor of Computational Methods in the Computational Engineering Design Research Group (CED) Group within the School of Engineering Sciences (SES). The School was awarded grade 5* in the 2001 national assessment of research in UK universities. The primary research interests of the group are in the three broad themed areas of optimisation and design search, applied computational modelling, and computational methods. This spans design optimisation, solid material modelling, computational electromagnetics, repetitive structures, contact mechanics, structural dynamics and computational methods. The CED aims to be a centre of excellence for multi-disciplinary engineering simulation and design which combines together a range of analytical, computational, and experimental techniques. Our strength lies in this sophisticated mix of engineering methods coupled to industrial applications: a particular focus for our activities over the next few years will be the development of grid-based problem-solving services for use by academia and industry.
Jeff Dozier’s research and teaching interests are in the fields of snow hydrology, Earth system science, remote sensing, and information systems. He has pioneered interdisciplinary studies in two areas: one involves the hydrology, hydrochemistry, and remote sensing of mountainous drainage basins; the other is in the integration of environmental science and computer science and technology. In addition, he has played a role in development of the educational and scientific infrastructure. He founded UC Santa Barbara’s Donald Bren School of Environmental Science & Management and served as its first Dean for six years. He was the Senior Project Scientist for NASA’s Earth Observing System in its formative stages when the configuration for the system was established. After receiving his PhD from the University of Michigan in 1973, he has been a faculty member at UCSB since 1974. He is a Fellow of the American Geophysical Union, the American Association for the Advancement of Science, and the UK’s National Institute for Environmental eScience. He is also an Honorary Professor of the Chinese Academy of Sciences and a recipient of the NASA Public Service Medal.
Dennis Gannon is a professor in the department of Computer Science at Indiana University which he chaired from 1997 to 2004. His previous positions include the department of Computer Science at Purdue University. He was also a senior visiting research scientist at the Center for Supercomputer Research and Development, University of Illinois. He was a partner in the NSF Computational Cosmology Grand Challenge project. He is a founding member of the DOE Common Component Architecture software group and the NCSA Alliance. From 1998-2000 he worked on the NASA Information Power Grid. He is on the steering committee for the Global Grid Forum. Gannon is also the Science Directory for the Indiana Pervasive Technologies Labs.
Founder of a new lab in Modeling and Computational Science in the Department of Computer Science at University of Houston in January 2002: the main goal is to develop interdisciplinary projects between applied mathematicians and computer scientists with applications in biology, medicine and environmental sciences.
Shahram Ghandeharizadeh received his Ph.D. degree in Computer Science from the University of Wisconsin, Madison, in 1990. Since then, he has been on the faculty at the University of Southern California. Shahram is a recipient of the National Science Foundation Young Investigator’s award for his research on physical design of parallel database systems. His primary research interest is the field of neuroinformatics, emphasizing the use of Web Services to facilitate publication, use, and integration of autonomous data sources.
Jonathan Goodall is an Assistant Professor of the Practice of Geospatial Analysis at Duke University in the Nicholas School of the Environment and Earth Sciences. His primary research and teaching interests are in geographic information systems applied to water resources science and engineering. He completed his Ph.D. in civil engineering from the University of Texas at Austin in 2005.
Dr. Victoria Hilford received her Masters in Electrical Engineering, her Masters and Ph.D. in Computer Science. She has worked in the industry for 10 years before she started teaching at University of Houston. Currently, Dr. Victoria Hilford is working on the Biomedical Data Grid project that provides database support to several projects in the Biomedical field.
Marty A. Humphrey received the Bachelor of Science degree in electrical and computer engineering in 1986 and Master of Science degree in electrical and computer engineering in 1988 from Clarkson University, Potsdam, NY, and a PhD in computer science from the University of Massachusetts in 1996. From 1998 to the present, he has been with the Department of Computer Science at the University of Virginia, Charlottesville, VA where he was first a Research Assistant Professor and is currently (2002-) an Assistant Professor. His areas of research include many aspects of Grid Computing, including security, programming models, performance, Grid testing, and Grid usability. He is active in the Global Grid Forum, where he recently completed a term on the GGF Steering Committee.
Humphries is a Research Scientist in the Geology Department at the University of Texas and Project Manger for the Digital Library of Vertebrate Morphology (or Digimorph Project), an NSF funded Digital Library Project. His background is in biology and biological informatics.
Dr. Keyuan Jiang received his Ph.D. in Biomedical Engineering from Vanderbilt University, Nashville, Tennessee, and is Assistant Professor of Computer Information Systems and Information Technology at Purdue University Calumet, Hammond, Indiana. Dr. Jiang has conducted a number of research projects in the area of computer applications in biomedicine, ranging from the knowledge-based system for synthetic gene design, bedside graphical nursing charting system, to the communication log system for clinical studies. His current interests are focused on Semantic Web in life sciences and bioinformatics Web services. Dr. Jiang is a member of IEEE Engineering in Medicine and Biology Society, and is serving on the editorial board of IEEE Transactions on Information Technology in Biomedicine. As a faculty member at Purdue University Calumet, he has taught courses of software development and bioinformatics. Prior to his current position, Dr. Jiang was a Technical Advisor at two private companies in delivering e-business solutions using Microsoft technologies.
Sun Kim is currently Associate Director of Bioinformatics Program , Assistant Professor in School of Informatics, Associate Faculty at the Center for Genomics and Bioinformatics at Indiana University – Bloomington. Prior to IU, he worked at DuPont Central Research as Senior Computer Scientist from 1998 to 2001, and at the University of Illinois at Urbana-Champaign from 1997 to 1998 as Director of Bioinformatics and Postdoctoral Fellow at the Biotechnology Center and a Visiting Assistant Professor of Animal Sciences .Sun Kim received B.S. and M.S. and Ph.D. in Computer Science from Seoul National University, Korea Advanced Institute of Science and Technology (KAIST) , and the University of Iowa respectively. Sun Kim is a recipient of Outstanding Junior Faculty Award at Indiana University 2004-2005, NSF CAREER Award DBI-0237901 from 2003 to 2008, and Achievement Award at DuPont Central Research in 2000.
David Lifka is the Director of High Performance Systems and Innovative computing for Computing and Information Sciences at Cornell University. His duties include management of the technical staff providing systems administration, consulting and systems research and development for CIS, Computer Science and the Cornell Theory Center. Lifka is an expert in Windows based high performance computing and led CTC’s technical move from proprietary UNIX to Windows-based industry standard high performance computing, working with strategic partners, including Microsoft, Intel, Dell, Unisys, Giganet, and ADIC. His areas of expertise include parallel job scheduling and resource management systems, UNIX-to-Windows migration, and HPC services. Lifka’s vision is that HPC must become pervasive and as easy to use out- of-the-box as a personal computer to make it a viable tool for more than those at academic institutions and research laboratories. Lifka is actively involved in eScience and Data Intensive Computing efforts at Cornell. Understanding the manageability and maintainability of petabyte size data repositories as well as the use of SQL Server and Web services for developing seamless HPC interfaces are of primary interest to Lifka. Lifka came to Cornell University from Argonne National Laboratory in 1995. Lifka has a Ph.D. in Computer Science from the Illinois Institute of Technology and serves on a number of corporate and IT advisory boards.
Dr. Krishna P.C. Madhavan is a Research Scientist for Teaching and Learning Applications with the Rosen Center for Advanced Computing and the NSF-funded Envision Center for Data Perceptualization Information Technology at Purdue. Dr. Madhavan is also the Educational Technology Director for the NSF-funded Network for Computational Nanotechnology (NCN). He serves as the Curriculum Director for the Supercomputing 2005 Education Program and is also the Chair for the Supercomputing 2006 Education Program. Dr. Madhavan also spearheads the Zecosystem project at Purdue University.
Beth Plale is an Assistant Professor in the Department of Computer Science at Indiana University. Prior to joining Indiana University, Professor Plale held a Postdoc in the Center for Experimental Research and Computer Systems at Georgia Tech. Plale’s Ph.D. is in computer science from State University of New York Binghamton. She earned a M.S. in computer science from Temple University in 1991, an MBA from University of LaVerne in 1986, and a B.Sc. in computer science from University of Southern Mississippi in 1984. Professor Plale’s interest in experimental systems was heavily influenced by time spent as a software engineer in the defense industry in the 80’s. Her research interests include data-driven applications, parallel and distributed computing, data management, and grid computing.
Paul Roe is an associate professor at QUT where he leads the programming language and system research group. His research and teaching interests lie in the areas of distributed computing, particularly grid computing and web services, and programming languages. Paul has published over 60 papers and has received numerous grants; much of his research is done in conjunction with industry. For the past five years he has been using .NET in both his teaching and research.
Dr. Uma Shama is a professor in the Department of Mathematics and Computer Science at Bridgewater State College. She is Co-Director (with Mr. Harman) of the GeoGraphics Laboratory at the Moakley Center for Technological Applications. She is the principal investigator of the 2005 National Transit Use of GIS Survey. Mr. Harman is the president of Harman Consulting LLC and a co-director the GeoGraphics Laboratory, a public/private partnership with Bridgewater State College. He is principal investigator of a Federal Transit Administration-sponsored Small Business Innovative Research (SBIR) project using remote sensing and unmanned aerial vehicles for transit safety and security. Mr. Harman and Dr. Shama are co-principal investigators of the Federal Transit Administration’s WiFi e-transit village prototype research project.
Ani Thakar a Research Scientist in the Center for Astrophysical Sciences at the Johns Hopkins University in Baltimore. My research is centered around data intensive science with large astronomical databases. I am primarily involved in the development of data mining tools and services for the Sloan Digital Sky Survey Science Archive (www.sdss.jhu.edu) and the US National Virtual Observatory (www.us-vo.org). I am also involved in the development and planning for the Large Synoptic Survey Telescope (www.lsst.org).
Urban is currently Manager of the Data and Information Systems group at the Texas Advanced Computing Center. He has worked at TACC for three years, focusing on database and scientific data collections issues. Prior to TACC, Urban worked for several years as an application and database architect in the private sector.
Dan Werthimer is director of the Serendip Seti program and chief scientist of SETI@home at the University of California, Berkeley. Werthimer was associate professor in the engineering and physics departments of San Francisco State University and has been a visiting professor at Beijing Normal University, the University of St. Charles in Marseille, Eotvos University in Budapest, and taught at universities in Peru, Egypt, Ghana, Ethiopia, Zimbabwe, Uganda and Kenya. Werthimer has published numerous papers in the fields of SETI, radio astronomy, instrumentation and science education; he is co-author of ‘SETI 2020’ and editor of ‘Astronomical and Biochemical Origins and the Search for Life in the Universe’.