Faculty Scholars
Fatemeh Afghah, Ph.D.
Associate Professor
Department of Electrical and Computer Eningeering
College of Engineering, Computing and Applied Sciences
Contact: 864-656-5913 | fafghah@clemson.edu
Who is Dr. Afghah?
Fatemeh Afghah is an Associate Professor with the Electrical and Computer Engineering Department at Clemson University, where she is the director of Intelligent Systems and Wireless Networking (IS-WiN) Laboratory. Prior to joining Clemson University, she was an Associate Professor with the School of Informatics, Computing and Cyber Systems, Northern Arizona University. Her research interests include wireless communication networks, decision making in autonomous systems and artificial intelligence in healthcare. She is the recipient of several awards including the Air Force Office of Scientific Research Young Investigator Award in 2019, NSF CAREER Award in 2020, NAU's Most Promising New Scholar Award in 2020, and NSF CISE Research Initiation Initiative (CRII) Award in 2017. She is the co-inventor of four US patents and an author/co-author of over 100 peer-reviewed publications. She serves as the associate editor for several journals including ACM Transactions on Computing for Healthcare, Elsevier Journal of Network and Computer Applications, Ad hoc networks, Computer Networks, and Springer Neural Processing Letters and the organizer. She has served as theTPC chair for several international IEEE workshops and conferences and was the organizer of2021 NSF Smart Health workshop on “Smart Health in the AI and COVID Era.” She collaborates with several health institutes including the Medical School of South Carolina, and Prisma Health.For more information, see her department profile.
How Dr. Afghah’s research is transforming health care
Dr. Afghah’s research interests lie in the areas of precision medicine and computer-assisted decision making in healthcare. Her recent projects focus on developing novel signal processing, automated decision making, algorithmic game theory, and machine learning techniques to extract non-linear patterns in biomedical signals and identify biomarkers related to the detection and prediction of different medical conditions.News and media related to Dr. Afghah’s research
- Arizona TechConnect Magazine - Drones to become more autonomous in remote environments
- The NAU Review - NAU leading NSF grant that looks at the potential for drones in responding to forest fires
Health Research Expertise Keywords
Artificial intelligence, biomedical signal processing, rural health, wireless communications and networking, deep learning, remote health monitoring, wearable heart monitoring