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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.
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 oximetry, wearable bladder volume sensing, data analytics & machine intelligence for health.
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 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 is a senior member of IEEE and ACM.