Hariharan Muthusamy

About

Dr. Hariharan Muthusamy is currently working as an Associate Professor in the Department of Electronics Engineering, National Institute of Technology, Uttarakhand, India since June 2018. Prior to that, he has worked as an Associate Professor at the Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Prior to SRM IST, he has worked as a Senior Lecturer at the School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Malaysia. He received Ph.D in Mechatronic Engineering from UniMAP, Malaysia, Master of Engineering in Applied Electronics from Anna University, India and Bachelor of Engineering in Electrical and Electronics Engineering from Bharathiar University, India. He has almost 15 years of Teaching and Research Experience. He has worked and working on various funded projects, with grants worth more than INR 1.35 Crore. He has published more than 150 papers in referred journals and reputed conferences . He is a Senior Member of IEEE, USA, Member of IE, India and Member of IET, UK. He received Chartered Engineer status from Engineering Council, UK on February, 2016. He has served as Guest Editor for 3 SCI indexed journals. His major research interests include Biomedical Signal and Image Processing, Speech Signal Processing, Signal Processing for Communications, AI/DL/ML Algorithms in VLSI. He has supervised 10 Ph.D and 4 Masters(research) students in the field of his expertise.

Employment

• National Institute of Technology Uttarakhand Associate Professor
  2018 - Present
• SRM Institute of Science and Technology Associate Professor
  2017 - 2018
• Universiti Malaysia Perlis Senior Lecturer
  2010 - 2017

Education

• Universiti Malaysia Perlis Ph.D
  2006 - 2010
• Anna University Chennai Master of Engineering in Applied Electronics
  2003 - 2006
• Bharathiar University Bachelor of Engineering
  1998 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (86)

• Resting state EEG assisted imagined vowel phonemes recognition by native and non-native speakers using brain connectivity measures
  Physical and Engineering Sciences in Medicine 2024 DOI: 10.1007/s13246-024-01417-w
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• Dual-Tree Complex Wavelet Pooling and Attention-Based Modified U-Net Architecture for Automated Breast Thermogram Segmentation and Classification
  Journal of Imaging Informatics in Medicine 2024 DOI: 10.1007/s10278-024-01239-y
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• SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals
  Medical & Biological Engineering & Computing 2022 DOI: 10.1007/s11517-022-02692-z
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• Analyzing selected visual anomaly through ST-based multi-resolution VEP decomposition
  Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016 2016 DOI: 10.1109/CSPA.2016.7515805
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• Assessment muscle fatigue using statistical study and classification: A review
  Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 2016 DOI: 10.1109/ICCSCE.2015.7482185
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• Classification of muscle fatigue condition using multi-sensors
  Proceedings - 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 2016 DOI: 10.1109/ICCSCE.2015.7482184
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• Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models
  Applied Soft Computing Journal 2015 DOI: 10.1016/j.asoc.2015.04.031
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• Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals
  2015 DOI: 10.1371/journal.pone.0120344
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• Improved emotion recognition using gaussian mixture model and extreme learning machine in speech and glottal signals
  2015 DOI: 10.1155/2015/394083
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• Facial emotion recognition using empirical mode decomposition
  2015 DOI: 10.1016/j.eswa.2014.08.049
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