Soheil Ghiasi
Department of Electrical and Computer Engineering
University of California, Davis
One Shields Avenue
Davis, CA 95616

Office: 3171 Kemper Hall
Phone: (530) 752-0836
Fax: (530) 752-8428

Brief Bio Publications | CVResearch Group | Prospective Students 

Our group has several open positions for PhD students and postdoctoral researchers in the broad area of smart health, ranging from AI/ML for health data to novel medical devices. Ideal candidates will have a strong academic record in either computer science/engineering or electrical engineering; deep interest in leveraging technology to impact health; and ability to work in collaborative teams, including clinical researchers. Past experience with research at the intersection of engineering and medicine would be a plus, but not required. Please feel free to contact me if your question is not already addressed under "Prospective Students"

I am a professor at the Department of Electrical and Computer Engineering, and a member of the Computer Science Department graduate group at UC-Davis. I lead our team at the Laboratory for Embedded and Programmable Systems (LEPS), where we work  on embedded and cyber-physical systems, with an emphasis on applications in health and medicine. I received my PhD in Computer Science from UCLA in 2004.

I am interested in design methodologies for embedded and cyber-physical systems (CPS). In my research, I aim to build systems that can monitor, predict and influence application-specific processes, including those in the physical world and/or involving humans. More specifically, my research work deals with system-level modeling, analysis, synthesis and optimization of embedded systems, programmable execution platforms (e.g., processors, DSPs, GPUs and FPGAs) and tools for automating the design process. The area focuses on system-level and human-integration challenges, and offers an interesting blend of theory and practice: real-world applications give rise to research problems, for which solutions are developed using a combination of analytical and experimental (data-driven) techniques.

Our team is always on the lookout for emerging applications of societal significance, which can benefit from advances in the technology. While the specific application focus may change from time to time, we are presently focused on human health and wellness as the target domain. In particular, we are currently working on transabdominal fetal oximetrywearable bladder volume sensing, and health data analytics (physician-assisting AI/ML software).
Brief Bio

Soheil Ghiasi is a professor of electrical and computer engineering at the University of California, Davis. His research interests include architecture, design methodologies, and design automation techniques for embedded systems, with particular emphasis on systems that find applications in areas of significant societal reach, such as machine intelligence and human health. He received his B.S. degree from Sharif University of Technology, in 1998, and his M.S. and Ph.D. in Computer Science from University of California, Los Angeles (UCLA) in 2002 and 2004, respectively. He has served on the organizing and technical program committees of numerous conferences, and associate editor of several Journals in the broader area of embedded computing systems. He is a senior member of IEEE and ACM.