Attend LIONS Seminar with guest Md Mobashir Hasan Shandhi, Feb. 27

About:

Md Mobashir Hasan Shandhi is an assistant professor with a joint appointment in the School of Electrical, Computer and Energy Engineering and the Biodesign Institute Center for Bioelectronics and Biosensors at Arizona State University. He is also an affiliated faculty member of the John Shufeldt School of Medicine and Medical Engineering at ASU. He completed his doctoral degree in electrical and computer engineering at the Georgia Institute of Technology and his postdoctoral training in biomedical engineering at Duke University. His lab is focused on developing wearable sensors and computational algorithms that can enable personalized health care and remote patient monitoring for patients with chronic and infectious diseases. He has received multiple awards and grants for his research work, including the American Heart Association, or AHA, Career Development Award, the AHA Postdoctoral Fellowship, and the Duke Heart Center and Translating Duke Health cardio-oncology grant. He is an editorial board member of npj Digital Medicine.

Abstract:

The majority of health care costs related to the treatment of chronic and infectious diseases are attributed to direct care costs like hospital admissions and readmissions. The prevalence of chronic diseases and associated costs in the U.S. is growing at an alarming pace. The COVID-19 pandemic has further impacted the health of high-risk individuals by increasing the likelihood of more severe illness for those with underlying health conditions and associated health care costs. There have been ample efforts from researchers and clinicians to develop remote health care systems and wearable devices to manage patients with chronic and infectious diseases in home settings, which could reduce the burden on inpatient care facilities and gained further momentum during the COVID-19 pandemic. Yet, there is a lack of reliable wearable devices that can provide clinically acceptable information to health care professionals, as well as a lack of emphasis on validating wearable and artificial intelligence technologies in representative populations to enable a reliable and equitable remote health management system. This talk will present the challenges and potential solutions for developing digital health technologies to enable reliable and equitable remote patient monitoring for chronic and infectious diseases.

Visit the LIONS Seminar website for more information.

LIONS Seminar
Friday, Feb. 27, 2026
1:30–2:30 p.m.
Goldwater Center for Science and Engineering (GWC) 487, Tempe campus [map]
Attend via zoom