PARAMASIVAM ALAGUMARIAPPAN

About

Dr. A. Paramasivam completed his M.E. at Karpaga Vinayaga College of Engineering and Technology in the field of Power Electronics and Drives. He did his Ph.D. at the Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, India. At present, he is an Assistant Professor at the Department of Biomedical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. He is a student member of IEEE Society, Bernoulli Society for mathematical statistics and probability and has authored 3 book chapters and several research papers in journals and conferences. His current research focuses on Biomedical Instrumentation, intelligent systems, robotics, Internet of Things (IoT), power electronics and drives.
Inter-Institutional Collaborations:
1. Global Hospitals & Health City

Employment

• Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Assistant Professor
  2021 - Present
• B.S. Abdur Rahman Crescent Institute of Science & Technology Assistant Professor
  2018 - 2021
• Madras Institute of Technology Guest Faculty
  2016 - 2018

Education

• Madras Institute of Technology PhD
  2016 - 2018
• Karpaga Vinayaga College of Engineering and Technology M.E.
  2011 - 2013
• Sethu Institute of Technology B.E.
  2007 - 2010
• Ramu Seetha Polytechnic College Diploma
  2004 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (39)

• Artificial Intelligence Framework for Respiratory Disease Classification Using Multi-Spectral-Feature-Driven and Deep Neural Architectures
  AI 2026 DOI: 10.3390/ai7080315
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• An Internet of Medical Things-Based Smart Electromyogram Device for Monitoring of Musculoskeletal Disorders
  2024 DOI: 10.3390/ecsa-11-20351
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• A Fog Computing-Based Cost-Effective Smart Health Monitoring Device for Infectious Disease Applications
  2024 DOI: 10.3390/engproc2024073006
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• A novel method for detecting cardiac arrhythmias in electrocardiogram signals using the ANFIS classifier
  e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024 DOI: 10.1016/j.prime.2024.100734
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• Design and performance analysis of manchester coder-based body channel communication using FPGA
  e-Prime - Advances in Electrical Engineering, Electronics and Energy 2024 DOI: 10.1016/j.prime.2024.100660
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• Intelligent Security System for Preventing DDoS Attacks for 6G Enabled WBSN Using Improve Grey Wolf Optimization
  IEEE Transactions on Consumer Electronics 2024 DOI: 10.1109/TCE.2024.3416549
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• An efficient COA approach-based open-end winding induction motor with direct torque control for minimize the power loss
  Electrical Engineering 2024 DOI: 10.1007/s00202-024-02501-w
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• Analysis of Textile Electrode Fabrication for Digestive Health Using Explainable Artificial Intelligence
  2024 DOI: 10.3390/proceedings2024104039
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• Design of Internet of Things-Enabled Textile-Based Biosensors
  2024 DOI: 10.3390/proceedings2024104033
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• Development of artificial intelligence edge computing based wearable device for fall detection and prevention of elderly people
  Heliyon 2024 DOI: 10.1016/j.heliyon.2024.e28688
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