Research Interests of Prof. Keshab K. Parhi
Overview
Digital 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 addresses power reduction in signal processing integrated circuits by use of voltage overscaling combined with error correction by incorporating and exploiting algorithm-specific properties.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 lung sound signal processing, automated fundus eye scan analysis for diabetic retinopathy and glaucoma screening, and seizure prediction from EEG signals. The lung sound signal processing work is in collaboration with Dr. Warren Warwick, MD, Professor of Pediatrics, at the Univ of Minnesota. The eye scan analysis work is in collaboration with Prof. Victor Barocas of Biomedical Engineering Department and Dr. Mary H. Lawrence, MPH, MD, of Opthalmology Department, at the Univ of Minnesota. The seizure prediction work is in collaboration with Prof. Tay Netoff of Biomedical Engineering Dept. at the Univ of Minnesota.
Another effort is directed towards synthesizing various signal processing functions by biochemical reactions. This work is in collaborations with Prof. Marc Riedel.
Current research projects are listed below.
Research Topics
Low-Power VLSI Digital Signal Processing Architectures Lung Sound Signal Processing
Automated Fundus Eye Scan AnalysisSeizure Prediction from EEG Signal Processors using Biochemical Reactions