Dr. Althaf Shajihan

Email

Primary Email: [email protected]

Phone/Fax

Primary Phone: 619-594-5419

Building/Location

Education - 100-J
5500 Campanile Dr.
San Diego, CA 92182

Website Links

• Physics-informed Resilient Infrastructure and Structural Modeling (PRISM) Lab

Bio

Dr. Althaf Shajihan is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at San Diego State University where he directs the PRISM Lab (Physics-informed Resilient Infrastructure and Structural Modeling Lab). Dr. Shajihan also holds an Affiliate Faculty appointment in the Computational Science Research Center, and the Big Data Analytics Program at SDSU. He earned both his Ph.D. in Structural Engineering (2025) and M.S. in Computer Science from the University of Illinois Urbana-Champaign (UIUC), where his research focused on AI-enabled smart sensing and physics-informed machine learning for structural condition assessment of civil infrastructure. Dr. Shajihan also holds an M.S. in Structural Engineering from IIT Bombay, where he received the Institute Silver Medal, and a B.S. in Civil Engineering from NIT Calicut. His interdisciplinary research spans structural health monitoring, physics-informed AI, wireless smart sensing, and vision-based inspection for resilient civil infrastructure.

Education

• Ph.D. in Civil Engineering, University of Illinois Urbana-Champaign, USA, 2025
• M.S. in Computer Science, University of Illinois Urbana-Champaign, USA, 2024
• M.S. in Structural Engineering, Indian Institute of Technology Bombay, India, 2018
• B.S. in Civil Engineering, National Institute of Technology Calicut, India, 2016

Courses

• CIVE 421: Reinforced Concrete Designing
• CIV E 605: Prestressed Concrete Structures

Research

Areas of Specialization:
Structural Health Monitoring, Smart Sensing and IoT, Physics-Informed Neural Networks, Scientific Machine Learning, Machine Vision, Generative AI, Smart Cities, Digital Twins

The Physics-informed Resilient Infrastructure and Structural Modeling (PRISM) Lab at San Diego State University conducts interdisciplinary research at the intersection of structural engineering, artificial intelligence, and smart sensing. The lab develops AI-enabled sensing platforms, computer vision and Generative AI pipelines, and physics-informed machine learning models to transform infrastructure data into actionable intelligence for resilience and risk-informed decision making. PRISM Lab research focuses on autonomous structural health monitoring, edge and embedded AI, computer vision for infrastructure inspection, physics-informed neural networks, and digital twins supporting post-hazard assessment of critical infrastructure.

Publications

https://scholar.google.com/citations?user=vuTpwf0AAAAJ&hl=en