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.
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
epilepsy detection and prediction, lung sound signal processing, automated fundus eye scan analysis for diabetic
retinopathy and glaucoma screening, and detection of neural disorders.
These efforts are in collaborations with various faculty in Biomedical Engineering and Medical School at the
University of Minnesota. The work on seizure prediction has been carried out in
collaboration with Prof. Tay Netoff of Biomedical Engineering dept. The work
on diabetic retinopathy is in collaboration with Dr. Dara Koozekanani of
Opthalmology dept. at the University of Minnesota. The work on language understanding
of Schophrenic patients from MEG signals is in collaboration with
Prof. Massoud Stephane.
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.
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
Language Understanding of Schizophrenic Patients
Molecular Signal Processing
Go to Past Research Topics
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