Yusuf Ozturk, Ph.D.  (Founding Member)
Professor, Electrical and Computer Engineering 

yusuf_ozturkDr. Yusuf Ozturk is a Professor of Electrical and Computer Engineering at San Diego State University. He is the director of Embedded Computing and Communications research groups. His current research interests include Energy Demand Response Solutions, Wireless Sensor Networks, Optimization, Brain Computer Interfaces. He holds 8 US patents in the area of electricity demand response, computer networks, cognitive management of energy resources and advanced container security devices. He published over 100 papers in the areas of Energy Management, Demand Response, Computer networks, Neural networks, Pattern recognition. He is a member of the NSF engineering research center on Sensorimotor Neural Engineering. His current research is supported by California Energy Commission, Spawar SSC. Pacific, Office of naval Research, NSF, US Department of Education, Nokia , Qualcomm and Intel. He is the curriculum coordinator and a co-PI of International Cooperation in Ambient Computing Education (ICACE) consortium supported jointly by US Department o Education and European Union. More info on Dr. Ozturks research can be found at

Sara Gombatto, PT, PhD (Founding Member)
Assistant Professor,School of Exercise and Nutritional Sciences

Dr. Sara Gombatto

Dr. Gombatto is an Assistant Professor in the Doctor of Physical Therapy Program, in the School of Exercise and Nutritional Sciences, and College of Health and Human Services (CHHS) at San Diego State University (SDSU).  She received her bachelors degree and masters degree in physical therapy from Ithaca College.  After practicing in an orthopedic outpatient physical therapy clinic for several years, she pursued her doctoral degree in Movement Science in the Physical Therapy Program at Washington University in St. Louis School of Medicine.  At SDSU, Dr. Gombatto teaches courses in evidence-based practice in the DPT program, mentors students on research projects at the undergraduate, masters, and doctoral levels, and has worked with students in both CHHS and Engineering.  Her primary area of interest for clinical practice and research is in the examination and treatment of musculoskeletal pain.  In particular, she has used a variety of approaches to examine how posture and movement are related to spine and lower extremity injury and pain.  As part of the Smart Health Institute, she is working with Drs. Yusuf Ozturk and Kee Moon to refine a sensor system for ecological monitoring of lumbar spine posture and movement.  She also has established the SDSU Sports Biomechanics Program to screen athletes at risk for spine and lower extremity injury and for return-to-sport decisions.  Her research has been published in peer-reviewed journals including: Physical Therapy, Journal of Orthopaedic and Sports Physical Therapy, Spine, Gait & Posture, Clinical Biomechanics, and Archives of Physical Medicine and Rehabilitation.  She and her students have presented research at local, regional, national and international conferences.

Kee Moon, Ph.D (Founding Member)
Professor, Mechanical Engineering

William Tong, Ph.D. (Founding Member)
Distinguished Professor and Chair, Chemistry and Biochemistry

Shawn O’Connor, Ph.D.
Assistant Professor, School of Exercise and Nutritional Sciences

Shawn_PhotoDr. O’Connor is an Assistant Professor in the School of Exercise and Nutritional Sciences at San Diego State University. He received his doctoral degree in Biomedical Engineering at University of Michigan in Ann Arbor and specializes in the dynamics and control of locomotion and development of movement health sensing technologies. He seeks to apply this knowledge toward rehabilitation strategies for improved balance and mobility with aging. He asks questions like: Why does balance ability worsen with age? How can we reduce the risk of falls in older adults while allowing them to stay active? To address these questions he uses virtual reality and force fields to perturb treadmill walking subjects and assess balance function. A key element of his approach is testing subjects within closed-loop experiments that sense and respond to their locomotor behavior in real-time to isolate fundamental neuromuscular mechanisms. He is also developing and testing next generation muscle health, metabolic cost, and balance measurement systems for diagnosing the multifactorial causes of age-associated mobility decline.