Muthukumaran Malarvel

About

• I am presently working as a Professor in the Department of Computer Science & Engineering, Aarupadai Veedu Institute of Technology, Tamil Nadu, Chennai, India.
• Having 20+ years of experience it includes the information technology industry, teaching, and rich research experience.
• Received doctorate (Ph.D.-Full Time) degree in computer science and engineering.
• Received Senior Research Fellowship (SRF) under the funded project of the Board of Research in Nuclear Sciences (BRNS), Mumbai, India.
• As a part of my research work, I have contributed to the development of a tool for image processing named “BHADRALOKA” which was successfully implemented in Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, Tamil Nadu, India.
• Published more than 35 research articles in reputed journals and conferences(SCI and SCOPUS).
• Editor and reviewer of reputed journals.
• Filed 3 patents in Intellectual property India. Received two GRANTs. Filed and granted a international patent.
• Three edited books published in Jhon Wiley and Taylor & Francis publications.

Specialization: Digital Image Processing, Pattern Recognition, Statistical and analysis, Machine Learning, and Deep learning

Area of interest: Developing machine vision inspection tools, radiography, thermography, medical, remote sensing image processing.

Employment

• Aarupadai veedu Institute of Technology Professor
  2024 - Present
• Hindustan Institute of Technology and Science Associate Professor
  2021 - 2024
• Chitkara University Associate Professor
  2019 - 2021
• K L University Associate Professor
  2018 - 2019
• SASTRA University Senior Research Fellow
  2014 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (64)

• Electronic Health Records on Blockchain: A Secure and Patient-Centric Approach
  Blockchain Security 2025 DOI: 10.1515/9783111661605-011
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• Leveraging Generative AI for Seismic Vulnerability Assessment in Classifying Building Damage Using the Ems-98 Scale
  2025 Innovations in Power and Advanced Computing Technologies (i-PACT) 2025 DOI: 10.1109/i-pact65952.2025.11307965
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• A Quantum-Enhanced Artificial Neural Network Model for Efficient Medical Image Compression
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3542807
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• AI FOR PRESERVING INDIGENOUS FOLK ART PATTERNS
  Shodhkosh Journal of Visual and Performing Arts 2025 DOI: 10.29121/shodhkosh.v6.i5s.2025.6900
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• AI-GENERATED VISUAL CONTENT FOR EDUCATIONAL POSTERS
  Shodhkosh Journal of Visual and Performing Arts 2025 DOI: 10.29121/shodhkosh.v6.i4s.2025.6842
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• DIGITAL PRINTMAKING THROUGH AI STYLE TRANSFER
  Shodhkosh Journal of Visual and Performing Arts 2025 DOI: 10.29121/shodhkosh.v6.i5s.2025.6885
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• Explainable Quantum Machine Learning Through Interpretation of Variational Circuit Outcomes in Classification Tasks
  2025 IEEE First International Conference on Innovations in Engineering and Next-Generation Technologies for Sustainability (ICINVENTS) 2025 DOI: 10.1109/icinvents64613.2025.11402497
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• A Framework for Quantum based Software Development Process
  2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems Adics 2024 2024 DOI: 10.1109/ADICS58448.2024.10533595
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• Analysis of Various Hyperparameters for Predicting Hypertension using Machine Learning Algorithms
  8th International Conference on Electronics Communication and Aerospace Technology Iceca 2024 Proceedings 2024 DOI: 10.1109/ICECA63461.2024.10801107
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• Anisotropic Diffusion Method on Multiple Domain Noisy Images: A Recommendation
  2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems Adics 2024 2024 DOI: 10.1109/ADICS58448.2024.10533634
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