free log

/Users/soheil/Dropbox/temp/Personal Website/soheil_small.jpg

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

Office: 3171 Kemper Hall
Phone: (530) 752-0836
Email: my-last-name@ucdavis.edu


Brief Bio Publications | CVResearch Group | 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.

My homepage on the ECE department may contain some news bits.

My research group participates in the activities of the following research centers:

National Center for Interventional Biophotonic Technologies (NCIBT)  
Center for Data Science and Artificial Intelligence Research (CeDAR)    
Center for Neuroengineering and Medicine

Research

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 challenges, such as modeling, analysis, and optimization of embedded systems; use-inspired signal processing and machine learning algorithms; programmable execution platforms (e.g., processors, DSPs, GPUs and FPGAs) and tools for automating the design process. 

The area focuses on system-level, integrative, and human-in-the-loop 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, data analytics & machine intelligence for health.
 


Teaching

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. His research projects have been supported by grants from NSF, NIH, State of California, industry, as well as, philanthropic support of generous individuals and foundations. He has served on the organizing and technical program committees of numerous technical conferences,  associate editor of several Journals in the broader area of embedded computing systems, and as an expert witness and consultant in the areas of computer-aided design and eletronic medical devices.
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 is a senior member of IEEE and ACM.

Advice/Personal/Misc.