Time: 9:25 AM – 10:15
Location: Room G/H
Speaker:
Dr. Himanshu Thapliyal
Southern Methodist University
Abstract:
This talk explores how quantum computing is transforming healthcare through advances in Quantum Machine Learning (QML) and Quantum Annealing (QA). Applications span tamper detection in physiological data, early dementia diagnosis, emotion and stress recognition, and optimal feature selection from wearable sensors. Quantum models show the potential for superior accuracy, robustness, and recall, particularly under limited or uncertain data conditions. By efficiently processing complex, high-dimensional biomedical information, quantum techniques have the capacity to surpass classical methods and enable secure, privacy-preserving, and adaptive healthcare solutions—paving the way for a new era of personalized, predictive, and preventive medicine powered by quantum intelligence.
Speaker Bio:
Dr. Himanshu Thapliyal is the Inaugural Walden and Paula Rhines Endowed Quantum Informatics Professor at Southern Methodist University (SMU), Dallas, Texas, USA, and a full professor in Electrical and Computer Engineering and Computer Science. His team is among the winners of the NIH’s Quantum Computing Biomedical Research Innovation Lab. He is an IEEE-CS Distinguished Visitor and recipient of the NSF CAREER Award, IEEE-CS TCVLSI Mid-Career Award, and the IEEE Computer Society Distinguished Contributor Award. He is ranked among the Top 20 most-cited scientists worldwide in the subfield of Computer Hardware & Architecture for the calendar year 2024–2025 (Elsevier Data Repository). He has authored over 200 publications, 3 US patents, and serves as Section Editor for Springer Nature’s Quantum Computing section.