Quang H. Pham

Dr. Quang H. Pham is a Research Scientist at the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), specializing in machine learning within the Machine Intellection department. He holds a Ph.D. from Singapore Management University's School of Computing and Information Systems, supervised by Professor Steven Hoi.

His research centers on continual learning, time series forecasting, meta learning, and domain adaptation, with significant contributions to online learning systems. Dr. Pham's work addresses catastrophic forgetting through innovative approaches like Continual Normalization and DualNet architectures, enabling neural networks to learn continuously from non-stationary data streams.

Analysis of his publication trajectory (2018-2023) reveals a consistent focus on efficient online learning methodologies, with publications in top venues including ICLR (3 papers), NeurIPS, and IJCAI. His research bridges theoretical advances in neural network design with practical applications in computer vision and medical image analysis.

Dr. Pham actively serves the community as a reviewer for premier journals (TPAMI, IJCV) and conferences (NeurIPS, ICML, CVPR). His GitHub presence (15 repositories, 56 stars) demonstrates commitment to open science, with implementations of his research widely adopted by the community.

As a Research Scientist at A*STAR's I2R, he participates in nationally funded research initiatives, though specific grant details aren't public. His work shows strong translational potential for real-world AI systems requiring continuous adaptation, particularly in healthcare and time-sensitive decision environments.