Interests of Prof. Keshab K. Parhi
signal processing (DSP) applications are becoming more prevalent in everyday
use. Because of this widespread usage and advances in computer technology,
the DSP algorithms themselves are being subjected to more demanding specifications.
There is a constant need for designing systems with lower power, higher
speed, and lower area. Current research in this area is devoted to
design of architectures that can operate at very high speed (such as 100 gigabits per
second) or with low power for portable and biomedical applications. There is also a
need to design integrated circuits that are secure and harder to reverse engineer.
Some of the work on hardware security is in collaboration with
Prof. Chris Kim of Electrical & Computer Engineering.
Another project addresses use of stochastic computing to design highly fault-tolerant
signal processing citcuits for deep submicron technologies.
Another area of research involves use of advanced signal and image processing techniques in
classification of biomedical signals. The objective here is to use signal processing for
preprocessing and feature extraction and use classifiers for classification. Applications include
prediction and detection of seizures in epileptic patients,
lung sound signal processing, automated fundus and optical coherence tomography (OCT)
imaging analysis for diabetic
retinopathy and glaucoma screening, and automated screening for mental disorders
such as schizophrenia, biorderline personality disorder (BPD) etc.
These efforts are in collaborations with various faculty in
Biomedical Engineering and Medical School at the
University of Minnesota. The work on seizure prediction is in
Prof. Tay Netoff of Biomedical Engineering and
Henry, MD, in Neurology. The work
on diabetic retinopathy is in collaboration with
Dr. Dara Koozekanani, MD, PhD, of
Ophthalmology. The work on language understanding
of Schzoophrenic patients from MEG signals is in collaboration with
Dr. Massoud Stephane, MD, formerly at the University of Minnesota.
The work on BPD is in collaboration with
Dr. Kathryn Cullen, MD, and
Dr. Kelvin Lim, MD, of Psychiatry department.
I am very interested in understanding brain connectivity analysis for
various mental disorders. Some of the work on brain connectivity is
in collaboration with
Prof. Christophe Lenglet
of the Center for Magnetic Resonance Research (CMRR).
Another effort is directed towards synthesizing various signal processing functions
by chemical or molecular reactions. These reactions are mapped to DNA strands.
The objective here is to synthesize molecular reactions for a specified
signal processing function.
The emphasis is on design of robust reactions that are
This research is expected to find applications in
drug delivery and biosensing.
This work is in collaborations with
Prof. Marc Riedel of Electrical & Computer Engineering department.
Current research projects are listed below.
High-Speed/Low-Power VLSI Digital Signal Processing Architectures
Hardware Security: PUFs, Reverse Engineering
Seizure Prediction from EEG
Automated Fundus Eye Scan Analysis
Mental Disorder Discovery: Biomarkers and Brain Connectivity
Molecular Signal Processing
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