Huan-Hsin Tseng

Huan-Hsin Tseng is a Research Associate Professor at Stony Brook University and a Research Scientist at Brookhaven National Laboratory, specializing in quantum machine learning, theoretical physics, and computational science. His work bridges the intersections of artificial intelligence, quantum computing, and fundamental physics.

• Education: B.S., M.S., and Ph.D. in Physics and Mathematics from National Tsing-Hua University (2005-2015).

His research focuses on Quantum Machine Learning, Quantum Algorithms, Deep Learning, and Quantum-Classical Correspondence, with applications in signal processing and speech enhancement. Earlier work centered on gravitational theories with torsion, teleparallel gravity, and extra-dimensional physics.

Publications and projects highlight expertise in Quantum-Centric Supercomputing, Transfer Learning, and Optimal Transport methods. He co-leads the IBM Material Sciences Quantum Working Group and organizes IEEE workshops on quantum machine learning.

• Service: Organizer for IEEE workshops (ICASSP 2025, SiPS 2024, QCE 2024, ICMLA 2024), referee for top journals/conferences (IEEE Transactions, NeurIPS, ICML, ICLR).