Lakshman Tamil

Dr. Lakshman Tamil is a Full Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Rhode Island (1989), an M.S. in Mathematics (1989), an M.Tech. in Microwave and Optical Communications Engineering from IIT Kharagpur (1983), and a B.E. in Electronics and Communications Engineering from Madurai Kamaraj University (1981).

His research focuses on AI-driven healthcare technologies, including quantum machine learning, telemedicine platforms, wearable health monitoring systems, and IoT applications. Notable projects include automated breast cancer detection via AI mammogram screening, arrhythmia assessment through wearable ECG patches, and low-cost sleep apnea monitoring tools like Apnea MedAssist. His work has been commercialized through ventures like MedCognetics and Cardiocognetics.

Research Highlights:
- Developed racially unbiased AI systems for mammogram analysis (RAMS).
- Designed real-time ECG-based heart attack prediction algorithms.
- Advanced blockchain solutions for secure medical data sharing.
- Authored over 200 publications and holds multiple patents, including U.S. patents for arrhythmia detection and sleep quality assessment.

Awards:
- Best Teacher Award (2022), UTD.
- Fellow, National Academy of Inventors (2019).
- Fellow, OPTICA (2009) and The Electromagnetics Academy (2000).

Grants & Funding:
- Led multi-terabit optical switching projects funded by Yotta Networks ($40M+).
- Secured NIH grants for AI-powered healthcare data repositories (AIM-AHEAD).
- Managed NASA and ONR grants for optical communication and inverse scattering research.

Labs & Teams:
- Director of the Quality of Life Technology Lab (QoLT), which pioneers AI-driven healthcare solutions.
- Collaborates with industry partners like Spike Technologies and Alcatel on applied research.