James E. Graves Ph.D.
- Ph.D. Exercise Science, University of Massachusetts, Amherst
- M.A. Biological Sciences, Central Connecticut State University
- B.A. Biological Sciences, Ithaca College
James E. (Jay) Graves, Ph.D., is Professor of Exercise, Health and Sport Sciences. He previously served as Professor and Dean of the College of Health at the University of Utah and Professor and Associate Dean for Graduate Studies, Budget and Research in the School of Education at Syracuse University. He is former Chair of the Exercise Science Department at Syracuse and held an adjunct appointment in the Department of Physical Medicine and Rehabilitation at the State University of NY Upstate Medical University. He also assisted in the development of the Center for Exercise Science, located in the Colleges of Medicine and Health and Human Performance, at the University of Florida, Gainesville.
Dr. Graves’ research interests and experience include the influence of physical activity on aging and the prescription of resistance training for the prevention and rehabilitation of orthopedic problems including, but not limited to, low-back pain. He has over 100 published peer-reviewed scientific journal articles and book chapters in these and other areas and is the co-author/editor of two textbooks: The Lumbar Spine (Sequoia Communications, 1988),and Resistance Training for Health and Rehabilitation (Human Kinetics, 2002).
In 1999, Dr. Graves was named Syracuse University’s United Methodist Scholar Teacher of the year. He earned his Ph.D. in Exercise Science from the University of Massachusetts, Amherst, and holds active fellowships in the American College of Sports Medicine, the Society for Health and Physical Education, and the National Academy of Kinesiology. In his spare time Dr. Graves enjoys snowboarding, mountain biking, scuba diving, chess, and playing drums, and spending time with his family.
Exercise and Aging
Exercise training for prevention and rehabilitation of orthopedic injury
Body Composition Analysis
Microcomputer applications, experimental design, and data analysis in biomedical research