DINESH CHELLAPPAN

About

Dr. Dinesh Chellappan is a Senior Assistant Professor in the Department of Electrical and Electronics Engineering at KPR Institute of Engineering and Technology, Coimbatore. His research focuses on Machine Learning, Bio-Signal Processing, and AI-driven healthcare analytics, with a particular emphasis on diabetic detection using microarray gene data. He has published in reputed Q1 and Q2 journals including Nature Scientific Reports, Diagnostics, Biomimetics, and Bioengineering.

He has over a decade of academic experience in control systems, automation, and data-driven healthcare technologies. His expertise further extends to meta-heuristic optimization, feature selection, and classification models for biomedical applications.

Dr. Dinesh is an active IEEE volunteer and currently serves as Student Branch Counselor at IEEE KPRIET SB and Secretary of the IEEE Biometrics Council – Madras Section Chapter. He has significantly contributed to membership growth, technical events, and student professional development, securing several IEEE-funded projects and recognitions.

Employment

• KPR Institute of Engineering and Technology Assistant Professor
  2019 - Present
• Bannari Amman Institute of Technology ASSISTANT PROFESSOR
  2015 - 2019

Education

• VIT University M.TECH
  2013 - 2015
• M.P.NACHIMUTHU M.JAGANATHAN ENGINEERING COLLEGE B.E
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Machine Learning Meets Meta-heuristics: Bald Eagle Search Optimization and Red Deer Optimization for Feature Selection in Type II Diabetes Diagnosis
  2024 DOI: 10.20944/preprints202406.1948.v1
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• Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene Data
  Biomimetics 2023 DOI: 10.3390/biomimetics8060503
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• Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene
  2023 DOI: 10.20944/preprints202308.1033.v1
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• Detection of Diabetes through Microarray Genes with Enhancement of Classifiers Performance
  Diagnostics 2023 DOI: 10.3390/diagnostics13162654
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• Detection of Diabetic through Micro Array Genes with enhancement of Classifiers Performance
  2023 DOI: 10.20944/preprints202306.1038.v1
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• Experimental investigation regarding emissivity of black nickel coated on aluminium surface
  Materials Today: Proceedings 2021 DOI: 10.1016/j.matpr.2020.05.149
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• IoT materials enabled indoor light illumination monitoring system
  Materials Today: Proceedings 2021 DOI: 10.1016/j.matpr.2020.10.705
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