HU Gang

Gang Hu is a Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. His research focuses on epidemiological and chronic disease modeling, numerical analysis, and algorithm optimization, with current emphasis on hyperlipidemia studies. He holds interdisciplinary qualifications including a PhD in Electrical and Electronic Engineering, alongside master's degrees in Computer Science, Financial Engineering, and other engineering disciplines.

Education:

• Bachelor of Science in Biotechnology
• Bachelor of Engineering in Electronic Engineering
• Master of Science in Electrical Power System
• Master of Science in Computer Science
• Master of Science in Financial Engineering
• Doctor of Philosophy (Ph.D.) in Electrical and Electronic Engineering

Research Interests:

Dr. Hu’s work bridges computational methods with health sciences. He develops optimization algorithms for disease modeling and applies eddy current testing techniques in materials analysis. His chronic disease research integrates numerical modeling with clinical data, while his algorithmic work spans portfolio management, deep reinforcement learning, and financial engineering.

Recent Research Trends:

His publications emphasize eddy current-based non-destructive testing for material analysis and algorithmic advancements in financial systems. Articles from 2024-2021 highlight innovations in defect detection, sensor optimization, and quantitative finance models.

Awards: No awards explicitly listed in the provided text.

Advising & Grants: No advisees are listed here. His research likely involves collaborative grants in public health and engineering, though specific grants are not detailed.

Labs/Teams: Affiliated with NUS Saw Swee Hock School of Public Health research groups, though specific lab names are not mentioned.