Ananth Kumar Tamilarasan

About

Dr. T. Ananth kumar is working as Associate Professor and HoD/CSE in the IFET college of Engineering(Autonomous),India. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli, India. He received his Master’s degree in VLSI Design from Anna University, Chennai, India and Bachelor’s degree in electronics and communication engineering from Anna University, Chennai, India. He has presented papers in various National and International Conferences and Journals. His fields of interest are Networks on Chips, Computer Architecture and ASIC design. He has received awards such as Young Innovator Award, Young Researcher Award, Class A Award – IIT Bombay and Best Paper Award at INCODS 2017. He is the life member of ISTE, IEEE and few membership bodies. He has many patents in various domains. He has edited 16 books and has written many book chapters in Springer, IET Press, and Taylor & Francis press. He has authored a book titled “Evolutionary Intelligence for Healthcare Applications”, published by Taylor and Francis group.

Employment

• IFET College of Engineering Associate Professor
  2022 - Present
• IFET college of Engineering Assistant Professor
  2017 - 2022
• Manonmaniam Sundaranar University Asst. Professor ( Temp.)
  2012 - 2013

Education

• Manonmaniam Sundaranar University Ph.D.
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (183)

• A Multi-GAN Ensemble Framework for Early Detection of Diabetic Retinopathy
  International Conference on Artificial Intelligence Computer Data Sciences and Applications Acdsa 2026 2026 DOI: 10.1109/ACDSA67686.2026.11467807
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• AI Trust, Risk, and Security Management: Framework, Principles, and Practices
  AI Trust Risk and Security Management Framework Principles and Practices 2026 DOI: 10.1002/9781394393022
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• Composite Artificial Intelligence: Fundamentals, Challenges and Applications
  Composite Artificial Intelligence Fundamentals Challenges and Applications 2026 DOI: 10.1002/9781394393060
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• Deep Learning Models towards Health Informatics Management: Foundations, Challenges and Opportunities
  Deep Learning Models Towards Health Informatics Management Foundations Challenges and Opportunities 2026 DOI: 10.1201/9781003678007
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• Development of Microservice Application for Environment Monitoring
  2026 DOI: 10.1007/978-3-031-93557-2_2
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• Physiotherapy Using Artificial Intelligence
  Physiotherapy Using Artificial Intelligence 2026 DOI: 10.1002/9781394391561
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• Preface
  Composite Artificial Intelligence Fundamentals Challenges and Applications 2026
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• Quantum-enhanced fuzzy convolutional neural networks for high-performance analog signal processing systems
  Signal Processing Roadmap Technologies Applications and Future Directions 2026 DOI: 10.1016/B978-0-443-33172-5.00001-7
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• Transforming Business Strategies with AI-Driven Predictive Analytics and Ethical Data Practices
  2026 DOI: 10.1007/978-3-032-07175-0_13
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• POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks
  Computation 2025 DOI: 10.3390/computation13070161
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