Laxmi Shaw

Dr. Laxmi Shaw is a Researcher and Faculty at Texas A&M University–Victoria, United States, where her work centres on adversarial machine learning, large language models (LLMs), healthcare analytics, fraud detection, and energy management systems.She was previously a Postdoctoral Scholar at Texas State University and a Senior Postdoctoral Fellow (Volunteer) at the University of Texas at Austin. She has worked on projects with Samsung Research & Development and Carrier Corporation (UTC-HRDC). With over a decade of combined research and industry experience, Dr. Shaw has co-authored 5 books and published more than 40 peer-reviewed papers in journals, international conferences, and edited volumes. Her research spans AI/ML security, EEG signal processing, IoT-enabled anomaly detection, Siamese networks, adversarial robustness in LLMs, and GPU-accelerated healthcare analytics. She is a Senior Member of IEEE and an active reviewer for several journals.She earned her Ph.D. in Electrical Engineering with a specialization in Artificial Intelligence and Machine Learning from the prestigious Indian Institute of Technology (IIT) Kharagpur, India. She also holds a Master of Technology (M.Tech) in Instrumentation and Electronics Engineering from Jadavpur University, and a Bachelor of Engineering (B.E.) in Electronics and Instrumentation Engineering from Sambalpur University, Odisha. She has authored three books and over 35 peer-reviewed papers on AI/ML security, EEG processing, IoT anomaly detection, and GPU-accelerated healthcare analytics. A Senior IEEE member and award-winning researcher, she actively reviews for leading journals and is committed to ethical, explainable, and secure AI, especially in healthcare and adversarial contexts.