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Anand Karuppannan

Associate Professor, Department of Electronics and Communication Engineering · Chennai Institute of Technology

https://researchid.co/anandkaruppannan
@citchennai.edu.in
24Scopus Publications
215Google Scholar Citations
5Google Scholar h-index
4Google Scholar i10-index

Research Interests

Communication Systems Intelligent Controllers Medical Electronic Signal and Image Processing

Biography

Dr. Anand Karuppannan Completed B.E. degree in Electronics and Communication Engineering from Park College of Engineering and Technology (Anna University, Coimbatore in 2011) and M.E. degree in Power Electronics and Drives from Sona College of Technology (Anna University, Chennai in 2014). Completed his Ph.D. degree at Anna University, Chennai in December 2021. Recognized Anna University Supervisor under faculty of Electrical Engineering

Education

Completed Doctor of Philosophy (Ph.D)- Part time under the faculty of Electrical Engineering at Anna University, Chennai with 9.00 CGPA(Course Work) during July 2016 – December 2021 (Supervisor: Dr.M.Madheswaran) Completed Master of Engineering (M.E.) in Power Electronics and Drives from Sona College of Technology, Salem with 9.07 CGPA during 2012-2014. Completed Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Park College of Engineering and Technology, Coimbatore with 7.97 CGPA during 2007-2011.

Recent Scopus Publications

  1. A novel channel estimation of MIMO-OFDM using hybrid bionic binary spotted hyena optimization
    International Journal of Cognitive Computing in Engineering, 2026
  2. Machine learning enhanced terahertz metasurface biosensor based on MXene–Graphene–Black phosphorus heterostructure for peptide detection
    Results in Physics, 2026
  3. A Reinforcement Learning Framework for PAPR Minimization in MU-MIMO With GNN-Based CSI Encoding
    International Journal of Communication Systems, 2026
  4. Intelligent Collision Avoidance for Railways using LoRaWAN Technology
    Proceedings of 4th International Conference on Electronics and Renewable Systems Icears 2026, 2026
  5. A method for developing low cost predictive maintenance system for electrical motors using random forest and IoT sensor technology
    2026 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2026, 2026

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