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Soheil
Ghiasi |
Brief Bio | Publications | CV
| Research
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.
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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 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.
I expect to have a number of open PhD positions in our group in the broad areas of smart health and AI for health. Ideal candidates have a solid background in core ECE topics, particularly signal processing, circuits and systems, and a strong interest in integrative cross-disciplinary projects. If interested, please submit an application by the deadline.
- Project Vectors
- System-level
design methodologies for embedded and
cyber-physical systems
- Innovative
applications of digital technology in key sectors, such as medicine,
agriculture and machine intelligence.
- Current
Projects
- Transabdominal
Fetal Oximetry
- Restoring
the Bladder Fill Sensation for Individuals Living with Spinal Cord
Injury
- AI/ML for health data
- Past
Projects
- Convolutional Neural
Networks (CNN) Inference on Resource-Constrained Devices
- Monitoring and
Mentoring Physical Activities
- Streaming
Software Synthesis for MPSoCs
- PARTS:
Parallel Architectures for Programmable Network Measurement
- Architectures
for Image Processing and Object Tracking
- Logic
and High-Level Synthesis
- Publications
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Teaching |
- Design
and Optimization of Embedded Computing Systems (EEC284)
- Data
Analytics in Computer Engineering (EEC289Q)
- Embedded Systems
(EEC172)
- Digital Systems (EEC18
and 180)
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.
|
Advice/Personal/Misc. |
- Collection of links to
articles/talks/resources that I found interesting. highly recommended
especially to students who have just started/are about to start college
or graduate school.