Dr. Madan Kumar Lakshmanan is a Principal Scientist at CSIR-Central Electronics Engineering Research Institute (CSIR-CEERI), Chennai. With over 23 years of R&D experience across India and Europe, his expertise spans applied machine learning, near-infrared spectroscopy, wireless communication systems, and data science automation.

His research work is grounded in addressing real-world challenges using engineering and scientific tools. Over the years, he has successfully developed and deployed technologies such as:

• AI-enabled Near-Infrared Spectroscopy (NIRS) based waste plastic sorting system (IIP Dehradun)
• Non-contact plethysmography system for cardiac health monitoring (Samsung, Noida)
• Wireless-enabled inline moisture transmitter (Marico, Puducherry)

These innovations have been showcased at leading international forums such as GCPRS 2024 & 2025 and PLASTO 2025, where they were recognized for industrial applicability.

He holds a Ph.D. in Electrical Engineering from Delft University of Technology, The Netherlands, where his thesis on reconfigurable and adaptive wireless communication systems was awarded the Best Ph.D. Thesis in the Netherlands. He also received his M.Sc. (Cum Laude) in Telecommunications from Delft University and a B.E. in Electronics & Communication Engineering from the University of Madras.

Research & Expertise

• Applied Machine Learning & Data Science Automation
• Near-Infrared Spectroscopy (NIRS) for polymer classification, sorting, and materials characterization
• Photo-plethysmography & Non-contact Health Monitoring
• Wireless Communication Systems

Set up laboratories dedicated to spectroscopy-driven materials characterization, AI-driven health monitoring, and applied machine learning for industrial and healthcare applications.

Career Highlights

• Over 65 publications in reputed journals and conferences.
• Guided/co-guided 4 Ph.D. scholars and more than 20 Master’s students.
• Secured and led industry, national, and international projects in healthcare, spectroscopy, and environmental sustainability.
• Filed 1 patent and multiple copyrights & design registrations in spectroscopy and health monitoring technologies.
• Recipient of numerous awards, including the Royal Dutch/Shell Chevening Scholarship, NETELCOM Award, IEEE Best Paper Awards, and Best Alumni (Academics) recognition.

Selected Technologies Developed

• AI-enabled Waste Plastics Sorting System using NIRS (for CSIR-IIP)
• Non-contact Remote Plethysmography System for Cardiac Monitoring (for Samsung)
• AI-based Healthcare Systems for Fatigue & Chronic Disease Detection

Awards (Selected)

• Best Ph.D. Thesis in the Netherlands (2011)
• NETELCOM Award, Dutch Research Delta (2010)
• Royal Dutch/Shell Chevening Scholarship, Europe (2004)
• Best Poster Award, ICRAFPT, Ministry of Food Processing (2018)
• Best Alumni – Academics, BS Abdur Rahman University (2020)

Publications & Patents

• Published in 16 international journals and 50+ conference proceedings
• Filed 1 patent on non-contact health monitoring and multiple copyrights in spectroscopy software systems
• Significant citation impact in wireless communications and spectroscopy

Current Research Focus

Dr. Lakshmanan’s recent work is directed toward sustainable technologies, particularly in AI-enabled polymer classification and recycling, as well as contactless health monitoring systems. His teaching and mentoring cover AI for Healthcare, Spectroscopy of Polymers, and Advanced Engineering Mathematics, fostering interdisciplinary learning and innovation.