Dr. Kenneth R. Boff - (Chair)
Georgia Institute of Technology
KENNETH R. BOFF is principal scientist with Socio-Technical Sciences. From 2007-2012, he served as principal scientist with the Tennenbaum Institute, Georgia Institute of Technology, and scientific advisor to the Asian Office of Aerospace Research and Development (Tokyo). From 1997-2007, he served as the US Air Force Research Laboratory chief scientist for human effectiveness. In this position, he was responsible for the technical direction of a multi-disciplinary R&D portfolio encompassing individual, organizational and socio-cultural behavior and modeling, training, protection and the bio and human-engineering of complex systems. He is best known for his work on understanding and remediating problems in the transition of research to applications in the design, acquisition, and deployment of systems and the value-centered management of R&D organizations. Holder of a patent for rapid communication display technology, Dr. Boff has authored numerous articles, book chapters and technical papers, and is co-editor of “Complex Socio-Technical Systems” (2012), “Organizational Simulation” (2005), "System Design" (1987), senior editor of the two-volume "Handbook of Perception and Human Performance" (1986), and the four-volume "Engineering Data Compendium: Human Perception and Performance" (1988). He actively consults and provides technical liaison with government agencies, international working groups, universities, and professional societies. He has organized and facilitated numerous technical workshops in the US, Europe, and the Pacific Rim focused on contemporary issues in complex socio-technical systems. He is a fellow of the Human Factors and Ergonomics Society and the International Ergonomics Association.
Dr. Bruce G. Berg
University of California, Irvine
BRUCE G. BERG is an associate professor in the Department of Cognitive Sciences at the University of California, Irvine. His research interests are in theoretical psychoacoustics, signal detection theory, and auditory attention. Early in his career, he originated the technique of adding noise to stimuli as a means for investigating attention, an experimental method that is now in wide use across several domains (e.g. vision, human performance). A recent application of the technique concerns the use of tri-tone stimuli that can be discriminated on the basis of either pitch, loudness, or timbre (i.e. roughness). The technique provides an objective determination of the subjective cue actually used by any individual listener, thus allowing confirmation of compliance to instructions to attend to one of the three cues. Contributions to theoretical psychoacoustics include a proposal that the peripheral filtering characteristics of the auditory periphery are different for spectral and temporal processes. He has served as an ad hoc reviewer for NSF grants. He received a Ph.D. from Indiana University in Psychology and was awarded a NIH Postdoctoral Fellowship from Harvard Medical School and Brigham and Women’s Hospital where he used signal detection theory to investigate the strategies of radiologists in reading images.
Dr. Michael L. Boninger
University of Pittsburgh
MICHAEL L. BONINGER (IOM) is an endowed chair and professor in the Department of Physical Medicine and Rehabilitation at the University of Pittsburgh. His current research interests include research education, bioengineering of assistive technology, neuroprosthetics, wheelchair propulsion biomechanics, secondary disabilities in wheelchair users, and regenerative rehabilitation. Dr. Boninger is a member of the American Academy of Physical Medicine and Rehabilitation, the American Congress of Rehabilitation Medicine, the American Institute for Medical and Biological Engineering, the American Spinal Cord Injury Association, and the Association of Academic Physiatrists. In 2012, Dr. Boninger received several honors, namely, he was elected to the Institute of Medicine, given the Breakthrough Award for Brain Computer Interface Research by Popular Mechanics, and presented with the Distinguished Mentor Award, Institute for Clinical Research Education, University of Pittsburgh. Dr. Boninger received his B.S. in mechanical engineering as well as his M.D. from the Ohio State University. From 1989 through 1994, he completed his post-graduate training at St. Joseph Mercy Hospital and the University of Michigan Medical Center and the University of Pittsburgh.
Dr. Linda Ng Boyle
University of Washington
LINDA NG BOYLE is a professor at the University of Washington with joint appointments in the Departments of Industrial and Systems Engineering, and Civil and Environmental Engineering; she is also chair of the Department of Industrial and Systems Engineering. She is director of the Human Factors and Statistical Modeling Lab, which focuses on the examination of complex datasets to gain insights on human performance and behavior as they interact with systems. The primary goal of this work is to enhance operator safety and reduce the risk of injuries and fatalities. She is a member of the Human Factors and Ergonomics Society, American Statistical Association, and Institute of Industrial Engineers. She is the associate editor for the journal Accident, Analysis and Prevention, and the chair of the Transportation Research Board, Committee on Statistical Methods. She received her PhD in civil engineering from the University of Washington.
Dr. Barrett S. Caldwell
BARRETT S. CALDWELL is a professor of industrial engineering at the Purdue University. His research focuses on studying and solving problems and challenges in information flow, knowledge-sharing, and task coordination amongst humans for a variety of applications on earth and in space. He conducts research in applying human factors and industrial engineering principles to team performance in complex task environments. His early research examined the potential social and technological effects of internet multimedia communications, even before the release of the Mosaic browser in 1993. Dr. Caldwell's discovery of the importance of information delay with increasing bandwidth has been meaningful since the growth of internet file sharing, which demonstrated that delay remains a concern to ensuring satisfactory quality of service. A central and fundamental component of Dr. Caldwell's work in this area was the application of engineering feedback control models of information freshness, cost of access, and value of information gain. Dr. Caldwell's research group is known as the Group Performance Environments Research (GROUPER) Laboratory. The mission of the GROUPER Laboratory is to be a premier research group in the areas of analysis, design and improvement of how humans work with, and share knowledge through, information and communication technology systems on earth and in space. His work, and that of GROUPER, is internationally recognized for integrating social and technical considerations in human task coordination and team performance. Over 25 of his former graduate students (MS and PhD) have achieved success in academic, government, industry, and military positions.
Dr. Francis T. Durso
Georgia Institute of Technology
FRANCIS T. DURSO (Frank) is Professor of Psychology at the Georgia Institute of Technology in the Engineering Psychology program. He received his Ph.D. in cognitive psychology from SUNY at Stony Brook and his B.S. from Carnegie-Mellon University. Dr. Durso is currently immediate Past-President of the Human Factors and Ergonomics Society (HFES), and a member of the National Research Council’s Board of Human Systems Integration. He has served as advisor and panelist for the Transportation Research Board, the National Science Foundation, NASA, the American Psychological Association (APA), and the Government Accountability Office. He was associate editor of the Journal of Experimental Psychology: Applied, senior editor of Wiley’s Handbook of Applied Cognition, co-editor of the APA Handbook of Human Systems Integration, and has served on several editorial boards including Human Factors, Air Traffic Control Quarterly, and Current Directions in Psychological Science. He is currently the series editor of the HFES’s Users’ Guides to Human Factors and Ergonomics Methods. He co-authored Stories of Modern Technology Failures and Cognitive Engineering Successes. He is a fellow of the HFES, APA, the Association for Psychological Science, and the Psychonomic Society. He was awarded the Franklin V. Taylor award for outstanding achievements in applied experimental and engineering psychology from APA. His current research falls under the labels applied cognition or cognitive engineering: how cognition (e.g., knowledge, expertise, working memory, attention allocation, strategy selection) interacts with environmental components (e.g., technology, the representation of data, available automation, patient symptoms, system interdependency) to affect the operator´s performance, learning, transfer, workload, and situation awareness. Most recently, his focus has been on strategy use and selection in dynamic environments, especially healthcare. Dr. Durso is also interested in developing Human-Systems Integration tools that leverage domains beyond human factors engineering.
Dr. Howard Egeth
Johns Hopkins University
HOWARD EGETH is professor of psychological and brain sciences at Johns Hopkins University. His expertise is perception and cognition; and attention and attentional selectivity. The visual world presents far more information to the eyes than we can effectively deal with at any given time. Thus, what we see is determined by what we attend to. His research examines the factors that determine the focus of attentional selectivity, and also explores the nature of perception outside the focus of attention (i.e., so-called preattentive vision). He is also the co-author of The Psychology of Learning (McGraw-Hill). He has served as president of the Federation of Behavioral, Psychological, and Cognitive Sciences, as chair of the governing board of the Psychonomic Society, and as president of the Division of Experimental Psychology of the American Psychological Association. In addition to various courses in cognitive psychology, he teaches a course in evolutionary psychology that focuses on the underpinnings of moral behavior.
Dr. Ralph R. Etienne-Cummings
Johns Hopkins University
RALPH ETIENNE-CUMMINGS is a professor and chair of the Department of Electrical and Computer Engineering at the Johns Hopkins University (JHU). His research interest includes mixed signal VLSI systems, computational sensors, computer vision, neuromorphic engineering, smart structures, mobile robotics, legged locomotion and neuroprosthetic devices. He is the former director of computer engineering at JHU and the Institute of Neuromorphic Engineering (currently administered by University of Maryland). He was also the associate director for education and outreach of the National Science Foundation sponsored Engineering Research Centers on Computer Integrated Surgical Systems and Technology at JHU. He has served as chairman of the IEEE Circuits and Systems (CAS) Technical Committee on Sensory Systems and on Neural Systems and Application, and was reelected as a member of CAS Board of Governors from 2007 – 2009. He was also the general chair of the IEEE BioCAS Conference in 2008, and serves on its steering committee. He was also a member of Imagers, MEMS, Medical and Displays Technical Committee of the ISSCC Conference from 1999 – 2006. He also serves on numerous editorial boards and was recently appointed deputy editor in chief for the IEEE Transactions on Biomedical Circuits and Systems. He is the recipient of the NSF’s Career and Office of Naval Research Young Investigator Program Awards. In 2006, he was named a Visiting African Fellow and a Fulbright Fellowship Grantee for his sabbatical at University of Cape Town, South Africa. He was invited to be a lecturer at the National Academies of Science Kavli Frontiers Program, held in November 2007. He was also recently recognized as a “ScienceMaker,” as part of the HistoryMakers which is an African American history archive. He has published more than 220 technical articles, 1 book, 10 book chapters and holds numerous patents on his work in these subjects.
Dr. John H. Hammond
Lockheed Martin Energy Systems [Retired]
JOHN H. (JACK) HAMMOND is retired from Lockheed Martin in 2009 after serving as vice president of technology for eight years at the Bethesda, MD, corporate headquarters. A member of the Corporate Technical Council, he chaired the Research and Technology Board responsible for coordination of R&D across the aeronautics, space systems, electronics systems and information systems and global services business areas. Dr. Hammond also served for six months as the corporation’s acting chief technical officer, and earlier in its space and strategic missiles business area where he contributed to several satellite, launch vehicle and interceptor programs. Previous defense industry positions held by Dr. Hammond include board member and vice president/general manager for reconnaissance and surveillance at Schafer Corporation, a technical analysis firm, and vice president for satellite products at Defense Systems, Inc., a hardware firm, both located in Virginia. Earlier, he served as vice president of Western Research Corporation. He has managed programs, developed business and contributed technically in areas including laser devices, laser propagation, small satellites, missiles and unmanned air vehicles. He led a multi-company team comparing options for boost-phase missile defense. His work in optics and lasers has also addressed inertial plasma confinement for energy and weapons research. In the DoD senior executive service, Dr. Hammond headed the Directed Energy program of the Strategic Defense Initiative Organization, responsible for development of laser and particle beam weapons and the associated target acquisition/tracking and precision beam control. After receiving his degrees in electrical engineering from the University of Illinois, he served as an Army Officer and civilian government employee at Huntsville, AL. Since retirement, Dr. Hammond’s professional activities have been limited to providing scientific and engineering support to OSD’s Missile Defense Agency as a part-time staff member of Systems, Technology and Science, LLC, and contributing time as a member of the National Academies’ Board on Army Science and Technology.
Dr. Moshe Kam
New Jersey Institute of Technology
MOSHE KAM is the dean of the Newark College of Engineering at the New Jersey Institute of Technology. Previously he served as the department head and the Robert Quinn Professor of Electrical and Computer Engineering at Drexel University. He also serves as director of the Drexel University National Security Agency Center for Excellence in Information Assurance Education, and as director of the Data Fusion Laboratory. Dr. Kam's professional interests are in wireless communications, robotics and navigation, detection and estimation, engineering education, and pattern recognition. He served as principal investigator on projects funded by the NSF, DARPA, ONR, NSWC, the U.S. Army-CERDEC, the U.S. Army-TSWG, Lockheed Martin, GlaxoSmithKline, and the National Institute of Justice. Educated in Tel Aviv (B.Sc. in electrical and electronics engineering 1977) and Drexel University (M.S. 1985, Ph.D. 1987), Dr. Kam is a fellow of IEEE "for contributions to the theory of decision fusion and distributed detection" (2001). He is also a recipient of an IEEE Third Millennium Medal. He received a National Science Foundation Presidential Young Investigator Award (1990) and is a licensed professional engineer registered in the State of Pennsylvania.
Dr. John Lach
University of Virginia
JOHN LACH is professor and chair of the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia. He is also a founder and co-director of the UVA Center for Wireless Health. His research interests are body sensor networks for biomedical and healthcare applications, integrated circuit design techniques, dynamically adaptable and real-time embedded systems, fault and defect tolerance, safety-critical system design and analysis, general-purpose and application-specific processor design, and field programmable gate arrays. He has been the PI or co-PI on over 30 grants totaling over $9M (over $3.5M directed to his laboratrory) and has published over 100 refereed papers, including three best paper awards. He is currently working with a large group of graduate and undergraduate student researchers.
Dr. William W. Lytton
SUNY Downstate Medical School
WILLIAM W. LYTTON is professor of physiology and pharmacology, neurology, biomedical engineering at the State University of New York Downstate Medical Center. He uses computational neuroscience to try to forge links between disparate findings from normal and abnormal brain function. His primary research areas are modeling electrophysiological processes pertinent to epilepsy and modeling abstract neural networks to understand recovery from stroke and the basis of cognitive processes. His research efforts have been directed towards development and application of new conceptual and technical tools of computational neuroscience. Development projects have primarily been aimed at integrating the computer-science-derived top-down techniques of artificial neural networks with neuroscience-derived bottom-up techniques. Application projects have been largely aimed at the problems of understanding neurological disease, particularly epilepsy and stroke. He served on the program committee for the Computation and Neural Systems Meeting and as a reviewer for various scientific journals and funding agencies. Dr. Lytton graduated from the Columbia University College of Physicians and Surgeons in 1983.
Dr. George R. Mangun
University of California, Davis
GEORGE R. MANGUN is the dean of social sciences and a distinguished professor of psychology and neurology at the University of California, Davis. His research investigates the cognitive neuroscience of attention. Evolution has crafted powerful brain mechanisms that aid in ones survival in a complex and often dangerous world. The information obtained from these combined behavioral, neuropsychological and neurophysiological studies is yielding new insights into the computational and functional neuroanatomical structure of human cognition, and is vital to addressing the deficits in attention and awareness that accompany neurological and psychiatric disease. Dr. Mangun consults on numerous university, U.S. government, and international scientific panels and advisory boards, including for the National Institutes of Health, the National Academy of Sciences, and the Academy of Finland. He is also an associate editor of the Journal of Cognitive Neuroscience, the treasurer of the Cognitive Neuroscience Society. He was the founding director of the UC Davis Center for Mind and Brain, and is currently the Dean of Social Sciences in the College of Letters and Science. His celebrated coauthored textbook, Cognitive Neuroscience: The Biology of the Mind (W.W. Norton, 2013) is now in its fourth edition -- it has been translated into French, Italian, Portuguese, and Chinese. Among other honors, in 2007 he was elected a fellow of the Association for Psychological Science, and in 2010 he was elected a fellow of the American Association for the Advancement of Science.
Mr. Stephen C. Merriman
STEPHEN C. MERRIMAN is a Boeing Associate Technical Fellow at the Boeing Corporation. He is the human factors engineering (HFE)/human systems integration (HSI) technical lead for Boeing Special Projects programs in Dallas. He is responsible for planning and technical leadership/management of two HFE/HSI teams, meeting HFE/HSI requirements for airborne platforms, sensors, ground support and test equipment, and training systems. He coordinates HFE/HSI with systems engineering, hardware and software engineering, supportability, and maintainability. During this time, Mr. Merriman authored and gained approval of the first two DoD data item descriptions on HSI, chaired the SAE International G45 Human Systems Integration Committee and chaired two technical committees of the DoD Human Factors Engineering Technical Advisory Group. He was selected as a Boeing associate technical fellow (HSI) in 2011 and as an associate fellow of the Aerospace Medical Association in 2012. He was elected as a fellow of the Human Factors and Ergonomics Society in 2014. He was appointed to the US Air Force Scientific Advisory Board (2015-2018). As a Boeing technical lead engineer and a Boeing designated expert in HSI, he serves as a member of the Boeing Human Factors/Ergonomics Community of Excellence Steering Committee and as a member of the DoD Joint Agency Human Factors Standardization Working Group.
Dr. Katherine L. Morse
Johns Hopkins University Applied Physics Laboratory
KATHERINE L. MORSE is a member of the Principal Professional Staff at the Johns Hopkins University Applied Physics Laboratory where she researches technologies for improving distributed simulation. She was previously a Technical Fellow and Assistant Vice President of Technology at SAIC. She received her B.S. in mathematics (1982), B.A. in Russian (1983), M.S. in computer science (1986) from the University of Arizona, and M.S. (1995) and Ph.D. (2000) in information & computer science from the University of California, Irvine. Dr. Morse has worked in the computer industry for over 30 years, more than 15 of them contributing to open international standards. She has performed research and development in the fields of modeling and simulation, narrative engagement, systems and software engineering, computer security, online instruction, voice recognition, and compilers. Dr. Morse has made significant contributions to nearly a dozen international standards, including leading the development of the Federation Engineering Agreements Template (FEAT) standard. She has served in multiple leadership positions in the Simulation Interoperability Standards Organization (SISO). Her Ph.D. dissertation is on dynamic multicast grouping for data distribution management, a field in which she is widely recognized as a foremost expert. She is a member of Phi Beta Kappa, Dobro Slovo, ACM, and a senior member of IEEE. Dr. Morse was the 2007 winner of the IEEE Hans Karlsson Award.
Dr. J. Anthony Movshon
New York University
J. ANTHONY MOVSHON (NAS) is university professor, silver professor, and director of the Center for Neural Science at the New York University. He is interested in how the brain encodes and decodes visual information, and in the mechanisms that put that information to use in the control of behavior. His research concerns the function and development of the primate visual system, especially the visual areas of the cerebral cortex. His laboratory supports work on neurophysiology, neuroanatomy, and psychophysics; the main experimental tool is electrophysiological recording from single neurons. His group stresses analytical and quantitative approaches to the study of visual receptive fields. Conceptually, much of this research draws on related work in visual psychophysics, and on computational approaches to understanding brain organization and visual processing. He received his doctorate from Cambridge University in 1975, where he studied visual neurophysiology and psychophysics. He joined the faculty at New York University that same year, and has remained there apart from a sabbatical year spent at Oxford University.
Dr. Shirikanth Narayanan
University of Southern California
SHRIKANTH S. NARAYANAN is the Andrew J. Viterbi Professor of Engineering at the University of Southern California (USC). His research interests are in human-centered sensing, computing and information processing. He is also a professor at the Signal and Image Processing Institute of USC's Electrical Engineering department and holds joint appointments as professor in computer science, linguistics and psychology. He is also the inaugural director of the Ming Hsieh Institute at USC, and directs the Signal Analysis and Interpretation Laboratory (SAIL). Prior to USC he was with AT&T Bell Labs and AT&T Research from 1995-2000. Dr. Narayanan is a fellow of the Acoustical Society of America, the Institute of Electrical and Electronics Engineers, and the American Association for the Advancement of Science. He has received a number of research and education honors including Best Transactions Paper awards from the IEEE Signal Processing Society in 2005 and 2009, appointment as its Distinguished Lecturer for 2010-2011, and a 2015 Distinguished Engineering Educator Award from the Engineers’ Council. He has published over 650 papers and has been granted sixteen U.S. patents.
Dr. Barbara G. Shinn-Cunningham
BARBARA SHINN-CUNNINGHAM is professor of biomedical engineering at Boston University. She is trained as an electrical engineer (Brown University, Sc.B.; MIT, M.S. and Ph.D.). She is the founding director of the Boston University Center for Computational Neuroscience and Neural Technology (CompNet). Her research on attention, auditory perception, and spatial hearing has lead to recognition from the Alfred P. Sloan Foundation, the Whitaker Foundation, and the National Security Science and Engineering Faculty Fellows program, as well as support from NIDCD, NSF, ONR, AFOSR, and other agencies. Within Boston University, she is director and PI of the NSF-sponsored CELEST Science of Learning Center and on the executive steering committee of the Hariri Institute for Computational Science and Engineering. Active in many professional societies, she currently is serving on the executive council of the Acoustical Society of America and has served as chair of the AUD NIH study section and as associate editor for the Journal for Research in Otolaryngology. She is a fellow of the Acoustical Society of America and a lifetime national associate of the National Research Council of the National Academy of Sciences “in recognition of extraordinary service to the National Academies in its role as advisor to the Nation in matters of science.” She oversees an active research group that uses behavioral, neuroimaging, and computational methods to understand auditory attention, a topic on which she lectures at conferences and symposia around the world.
Ms. Mary C. Whitton
The University of North Carolina at Chapel Hill
MARY C. WHITTON is a research associate professor of computer science at the University of North Carolina at Chapel Hill. She also serves as a senior project manager at UNC’s Renaissance Computing Institute. She co-leads the effective virtual environments research group that investigates what makes virtual reality experiences effective and uses knowledge of human perception to develop technologies and techniques that make virtual environments more effective for applications such as simulation, training, and rehabilitation. Before joining UNC in 1994, she was a founder of two companies (Ikonas—1978; Trancept Systems—1987) that produced high-end user-programmable hardware and software for graphics, imaging, and visualization. The companies’ products were widely adopted in research laboratories for applications including seismic exploration, 3D medical imaging, intelligence, computer animation, and scientific modeling and simulation. She has held leadership roles in ACM SIGGRAPH including serving as president 1993-1995. She is a member of ACM, ACM SIGGRAPH, and is a senior member of IEEE. She earned a B.A. from Duke University (1970), and an M.S. in guidance and personnel services (1974) and an M.S. in electrical and computer engineering (1984) from North Carolina State University.
Dr. Barbara A. Dosher
University of California, Irvine
BARBARA A. DOSHER (NAS) is a distinguished professor of cognitive sciences and the dean of the School of Social Sciences at the University of California at Irvine. She studies how humans perceive, remember, and retrieve information using a combination of behavioral testing and mathematical modeling. Her research falls generally into three categories: (1) memory in humans, with emphasis on forgetting and retrieval in explicit and implicit memory and in working memory; (2) attentional processes in adult humans, and their consequences for perceptual efficiency and information processing, with emphasis on visual perception and memory; and (3) the mechanisms of learning and improvement in perceptual tasks. She was a professor in the Department of Psychology, Columbia University, from 1990-1992, and a visiting scholar at Stanford in 1984. She moved to University of California, Irvine in 1992. She is an elected fellow of the American Psychological Society and the Society for Experimental Psychologists, and received the 2013 Howard Crosby Warren Medal of the Society for Experimental Psychologists. At UCI, she is a fellow of the Center for Neurobiology of Learning and Memory and a member of the Institute of Mathematical Behavioral Sciences. She has served on the board and as president of the Society for Mathematical Psychology and on the executive board of the Vision Sciences Society, is a prior associate editor of Psychological Review, and has served on grant review boards at the National Science Foundation and National Institutes of Mental Health.
Dr. Margaret L. Loper
Georgia Tech Research Institute
MARGARET L. LOPER is the chief scientist for the Information and Communications Laboratory at the Georgia Tech Research Institute. She is currently involved in projects related to trust in machine to machine systems in the Internet of Things, and uncertainty quantification in modeling and simulation. Her research contributions are in the areas of temporal synchronization, simulation testing, and simulation communication protocols. S89/*he is a senior member of the IEEE and ACM, and member of the Society for Modeling and Simulation. She is a founding member of the Simulation Interoperability Standards Organization (SISO) and received service awards for her work with the distributed interactive simulation (DIS) and high level architecture (HLA) standards and the DIS/SISO transition. She teaches the core modeling and simulation (M&S) course for Georgia Tech’s professional masters in applied systems engineering degree program, as well as three M&S professional education courses. She recently edited a book on modeling and simulation in the systems engineering lifecycle. She holds a Ph.D. in computer science from the Georgia Institute of Technology, a M.S. in computer engineering from the University of Central Florida, and a B.S. in electrical engineering from Clemson University.
Dr. King-Hay Yang
Wayne State University
KING-HAY YANG is a professor of biomedical engineering and the director of the Bioengineering Center at the Wayne State University. His research interests are in orthopedic biomechanics, finite element modeling, whiplash injury mechanism, and crashworthiness in transportation systems. He was featured in an AutoFan.com article about automotive safety research in Detroit. Dr. Yang specializes in vehicular safety, vehicle crashworthiness, brain injury biomechanics, orthopedic biomechanics, and spontaneous hip fracture. He is a fellow of both the American Institute of Medical and Biological Engineering and the Society of Automotive Engineers. Dr. Yang also serves as an advisory committee member for the Stapp Car Crash Conference and a council member in the International Council on the Biomechanics of Injury. He has a B.S. in mechanical engineering from the National Taiwan University, Taipei, (1976) and an M.S. (1981) and a Ph.D. (1985) in mechanical engineering from the Wayne State University.