Dr. R. HariKumar received
his B.E (ECE) degree from NIT (REC) Trichy in the year 1988. He obtained
his M.E (Applied Electronics) degree from College of Engineering, Guindy, Anna University
Chennai in 1990. He was awarded Ph.D. in Information &Communication Engineering
from Anna University Chennai in 2009. He has 33 years of teaching experience at
College level. He worked as faculty at Department of ECE, PSNA College
of Engineering & Technology, Dindigul. He was Assistant Professor in IT
Department at PSG College of Technology, Coimbatore. He also worked as
Assistant Professor in ECE Department at Amrita Institute of Technology,
Coimbatore. Currently he is working as Professor ECE at Bannari Amman Institute
of Technology, Sathyamangalam. He has published Two hundred and sixty papers in
International and National Journals and also published around Three hundred and
Twenty two papers in International and National Conferences conducted both in
India and abroad. Four sponsored projects
tuned to worth of Rs 26 lakhs from the agencies like AICTE, DRDO and ICMR
completed by him. He is the recipient of
IETE RS Khandpur Award 2022 for his contribution towards Medical
Electronics Instrumentation. His area of interest is Bio signal Processing,
Soft computing, Medical Image processing, VLSI Design and Communication
Engineering. Currently, he is guiding Six Ph.D theses in these areas. Nineteen of
his students were awarded Ph.D by Anna University Chennai. He is life member of
IETE, IAENG, & ISTE and Senior member of IEEE.
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- Palanisamy S, Rajaguru H. Machine Learning
Techniques for the Performance Enhancement of Multiple Classifiers in the
Detection of Cardiovascular Disease from PPG Signals. Bioengineering.
2023; 10(6):678. https://doi.org/10.3390/bioengineering10060678
- M S, Karthika.; Rajaguru, H.; Nair,A.R. Evaluation and Exploration
of Machine Learning and Convolutional
Neural Network Classifiers in
Detection of Lung Cancer from Microarray Gene—A Paradigm Shift. Bioengineering
2023, 10, 933. https://
doi.org/10.3390/bioengineering10080933
- Chellappan, D.; Rajaguru, H. Detection of Diabetes through
Microarray Genes with Enhancement of Classifiers Performance. Diagnostics 2023,
13, 2654. https://doi.org/10.3390/
diagnostics 13162654
- Prabhakar, S.K.; Rajaguru, H.; Ryu, S.; Jeong, I.c.; Won, D.-O. A
Holistic Strategy for Classification of
Sleep Stages with EEG. Sensors 2022,
vol 22, No: 9, 3557,pp1-24 May/June 2022, http:// doi.org/10.3390/s22093557
- Sunil Kumar Prabhakar , Harikumar
Rajaguru, Chulho Kim, Dong-ok Won, A Fusion-Based Technique With Hybrid Swarm
Algorithm And Deep Learning For Biosignal Classification. Frontiers in Human .
Neuroscience. 16:895761. Vol:16, article 895761,june 2022, doi:
10.3389/fnhum.2022.895761,1-15
- S. K. Prabhakar, H. Rajaguru and S. Lee, "A Framework
for Schizophrenia EEG Signal Classification With Nature Inspired Optimization
Algorithms," in IEEE Access, vol. 8, pp. 39875-39897, 2020.
- Sunil
Kumar Prabhakar , Harikumar Rajaguru , Seong-Whan
Lee, Metaheuristic
Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting
Cardiovascular Disease”, IEEE Access, vol 7 October
2019 pp 165181-165206
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Patent Granted:
- A System
For Electro Gastro gram In
Detection Of Gastric Disorders
And A Method
There Of - South Africa
International Patent- 2022/10067, Filed On
9.09.2022 and Granted on:21.01.2023
-
A Sensor For Stress Measurement Using Photo Plethysmography Indian International Patent- 201941011709 Filed On 23.03.2019 and Granted on:15.09.2023
Awards
1. The
Institution Prize - 2009 from I.E (India) for the paper
entitled, “FPGA Synthesis of Heterogeneous and SIRM
Fuzzy System for classification of Diabetic Epilepsy Risk levels”
2. Awarded
Distinguished Scientist in Bio Signal Processing by Venus International Foundation at
Annual Research Meeting 2016, 3rd December 2016 Chennai.
3. Awarded Best Scientist by Indian Academic Researchers
Association (IARA) at Annual Research
Meeting 2017, held on 22nd April 2017 ,Trichy
4. IEEE Madras Section Award for IEEE Journal
Publication-2020
5.IETE RS Khandpur Award 2022 for contribution
towards Medical Electronics and Instrumentation
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