Distinguished McKnight University Professor, Erwin A. Kelen Chair in Electrical Engineering, Department of Electrical and Computer Engineering
Contact
6-181 Kenneth H. Keller Hall
200 Union Street Se
Minneapolis, MN 55455
Distinguished McKnight University Professor, Erwin A. Kelen Chair in Electrical Engineering, Department of Electrical and Computer Engineering
Parhi Research Group Site
Research is focused on on all aspects of VLSI signal and image processing starting from algorithm and architecture design to design of digital integrated circuits and computer-aided design tools. Our emphasis is on developing techniques to design architectures and algorithms which can be operated with high speed, or lower area or lower power. Different applications impose different speed-power demands on implementations of an identical algorithm. While video and radar applications require high-speed, wireless and personal communications systems applications require low-power implementations. In addition to studying VLSI implementation styles, we also are studying computer arithmetic implementations and design of CAD tools for high-level synthesis of digital signal processing (DSP) systems and for multiprocessor prototyping and task scheduling of software programmable DSP systems using data-flow graph models. Very high-speed architectures are designed based on novel use of look-ahead computations, pipelining and retiming. Recent work has addressed pipelined designs for parallel decision feedback equalizers, Tomlinson-Harashima precoders, Viterbi decoders, linear-feedback shift registers, and multi-gigabit transceivers. Significant research has been directed towards parallel and pipelined implementations of turbo decoders, low-power implementations of low-density parity check codes, and crypto-acclerators. Current research on low-power design is based on implementations using overscaled supply voltage and subthreshold circuit design.
Another area of research involves use of advanced signal and image processing techniques and machine learning 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, automated fundus and optical coherence tomography (OCT) imaging analysis for diabetic retinopathy and other ophthalmic abnormalities, and automated screening for mental disorders such as schizophrenia, biorderline personality disorder (BPD) etc. These efforts are in collaborations with various faculty in Medical School at the University of Minnesota. 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 products of these reactions can be used for protein monitoring and drug delivery.
Ph.D., 1988, University of California, Berkeley, CA, United States
M.S., EE, 1984, University of Pennsylvania, Philadelphia, PA, United States
B.Tech., 1982, Indian Institute of Technology, Kharagpur, India
VLSI architectures for artificial intelligence/machine learning, signal processing, communications and error control coding; hardware security; biomedical signal classification; neuroengineering; DNA computing
2022 Charles E. Bowers Faculty Teaching Award
2021 IEEE Circuits and Systems Society John Choma Education Award
2020 Association for Computing Machinery (ACM) Fellow for contributions to architectures and design tools for signal processing and networking accelerators
2020 Fellow, National Academy of Inventors (NAI)
2019-2021 IEEE Circuits and Systems Society Distinguished Lecturer
2017 Fellow, American Association for Advancement of Science (AAAS)
2017 Mac Van Valkenburg Award from the IEEE Circuits and Systems Society
2013 Distinguished Alumnus Award, Indian Institute of Technology, Kharagpur
2013 Award for Outstanding Contributions to Postbaccalaureate, Graduate, and Professional Education, University of Minnesota
2012 Charles A. Desoer Technical Achievement Award from IEEE Circuits and Systems Society
2004 Frederick Emmons Terman Award from the American Society of Engineering Education
2003 IEEE Kiyo Tomiyasu Technical Field Award
2000 - present Distinguished McKnight University Professorship
1997- present Edgar F. Johnson Professorship at the University of Minnesota
1996 IEEE Fellow for contributions to the fields of VLSI digital signal processing architectures, design methodologies and tools
1996-1998 IEEE Circuits and Systems Society Distinguished Lecturer
1992-1997 National Science Foundation Young Investigator Award
1992-1994 McKnight - Land Grant Professorship at the Univ. of Minnesota
K.K. Parhi, VLSI Digital Signal Processing Systems: Design and Implementation, Wiley, NY 1999
K.K. Parhi and T. Nishitani, Ed., Digital Signal processing for Multimedia Systems, CRC Press, Taylor & Francis Group, Florida, 1999
J.-G. Chung, and K.K. Parhi, Pipelined Lattice and Wave Digital Recursive Filters, Springer, 1996
N.R. Shanbhag, and K.K. Parhi, Pipelined Adaptive Digital Filters, Springer, 1994
R.I. Hartley, and K.K. Parhi, Digit-Serial Computation, Springer, 1995
T. Nishitani and K.K. Parhi, Ed., VLSI Signal Processing VIII, IEEE Press, 1995
J. Fortes, C. Mongenet, K. Parhi, and V. Taylor, Ed., Proceedings 1996 International Conference on Application Specific Systems, Architectures, and Processors, IEEE Computer Society Press, 1996
Journals
2021 and in press