Van Tien Nguyen

Van Tien Nguyen

Doctoral candidate at UT San Antonio developing structure-aware and resource-efficient methods for quantum, hybrid quantum–classical, and deep learning systems.
View academic CV Explore research

Recent Activities

Selected recent milestones from my activities timeline.

View all
TimeActivitySummary
Invited Speaker, Qiskit Fall Fest 2026Upcoming virtual seminar on quantum computing and Qiskit fundamentals at Qiskit Fall Fest 2026, University of California, Irvine.
VQBR Technical Paper PresentationPresented VQBR: Variational Quantum Bayesian Regression via Measurement-Based MAP Direction Recovery, coauthored with Panagiotis P. Markopoulos, in the Quantum Machine Learning Technical Papers Track at IEEE QCE 2026 in Toronto, Canada.
Attended IEEE Quantum Week 2026 (QCE)Attended the 2026 IEEE International Conference on Quantum Computing and Engineering (QCE) at the Metro Toronto Convention Centre in Toronto, Ontario, Canada, from September 13 to 18, 2026.
ML-QRC Workshop Paper PresentationPresented Parameter-Efficient Multilinear Readout for Quantum Reservoir Computing (ML-QRC), coauthored with Panagiotis P. Markopoulos, at the Workshop on Quantum Machine Learning at IEEE Quantum Week 2026 (QML@QCE) in Toronto, Canada.
Graduate School Academic Travel Fund, UT San AntonioAwarded US$750 to support presentation at IEEE Quantum Week 2026 (QCE) in Toronto, Canada, in September 2026.
Successful Dissertation Proposal DefenseSuccessfully defended my dissertation proposal, Structure-Aware and Resource-Efficient Quantum–Classical Learning, at UT San Antonio.
Selected by IBM Quantum to Host Qiskit Fall Fest 2026Selected by IBM Quantum to host Qiskit Fall Fest 2026 at The University of Texas at San Antonio.
Graduate Teaching Assistant, UT San AntonioSupporting EE 3233: System Programming for Engineers through recitation and laboratory instruction, office hours, grading, and student support.
NSF Student Travel Grant, IEEE Quantum Week 2026Awarded up to US$1,250 in reimbursable travel support to attend and present accepted work at IEEE QCE 2026 in Toronto, Canada.