Fei Han

Fei Han is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of New Hampshire, affiliated with the College of Engineering and Physical Sciences. His research focuses on advanced sensing technologies, artificial intelligence, computational mechanics, decision-making systems, deep learning, optimization, plasticity, and soil mechanics & foundations. He teaches courses including Soil Mechanics, Geo-Environmental Engineering, and Foundation Design. His work integrates machine learning with geotechnical engineering to address challenges in infrastructure resilience, sustainable development, and disaster mitigation.

Education:

• Ph.D., Purdue University
• M.S.C.E., Purdue University
• B.S., Huazhong University of Science

Key Research Trends: Recent publications emphasize data-driven modeling for infrastructure systems (e.g., transfer learning for monopile foundations, deep reinforcement learning for equitable bridge maintenance), optimization algorithms (multi-objective genetic algorithms), and marine geology advancements. His work bridges computational methods with practical geotechnical challenges, addressing scour management, soil-structure interaction, and sustainable engineering solutions.

Grants & Advising: No specific grants or student advisees are listed, though his courses suggest involvement in mentoring senior theses (e.g., CEE 799H). His research collaborations involve institutions like INDOT and international co-authors.

Labs & Teams: Active in UNH’s geotechnical and environmental engineering research groups, focusing on sensor fusion, deep learning applications, and sustainable infrastructure systems.