HARSH SOHAL
Jaypee University of Information Technology, Chitkara University, Kyung Hee University - Global Campus, National Institute of Technology Hamirpur, Dr BR Ambedkar National Institute of Technology
About
Harsh Sohal received the B. Tech. degree in electronics and instrumentation engineering from Punjab Technical University, India, in 2005, and M. Tech. degree in very large scale integrated circuit design automation & techniques from the National Institute of Technology, Hamirpur, India in 2008. He received his Ph. D. degree, while working for bio-impedance based instrumentation system design, from the department of biomedical engineering, Kyung Hee University, South Korea in the year 2014.His research interests include ultra-low-power medical electronics devices, implantable medical electronics, FPGA design, biomedical instrumentation, biomedical signal processing and computing.
Dr. Sohal is life member of biomedical engineering society of India.
Employment
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Jaypee University of Information Technology Associate Professor2022 - Present
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Jaypee University of Information Technology Assistant professor2017 - 2022
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Chitkara University Assistant Director | Research2015 - 2017
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Dr BR Ambedkar National Institute of Technology Assistant Professor2014 - 2014
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National Institute of Technology Hamirpur Lecturer2008 - 2009
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Recorders and Medicare Systems Private Limited Engineer R & D2005 - 2006
Education
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Kyung Hee University - Global Campus Ph. D.2009 - 2014
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National Institute of Technology Hamirpur M. Tech.2006 - 2008
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Punjab Technical University B. Tech.2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- A novel parallel prefix adder for optimized Radix-2 FFT processor Save
- A Novel ASIC-Based Variable Latency Speculative Parallel Prefix Adder for Image Processing Application Save
- COMPUTER-AIDED DIAGNOSTIC SYSTEM for FEATURE-BASED CLASSIFICATION USING HEART RATE VARIABILITY Save
- Design and Analysis of High-Speed Parallel Prefix Adder for Digital Circuit Design Applications Save
- Design and Implementation of Robust Low Power ECG Pre-processing Module Save
- FPGA-based parallel prefix speculative adder for fast computation application Save
- Multistage classification of arrhythmia and atrial fibrillation on long-term heart rate variability Save
- Optimized Crosstalk Circuit for Long Wire Copper Interconnects using 45nm CMOS Inverter Save
- Statistical Analysis of HRV Parameters for the Detection of Arrhythmia Save
- FPGA implementation of power-efficient ECG pre-processing block Save