AI4RISE Lab
Shaping the future of smart, resilient, and sustainable infrastructure through AI and systems engineering.
About Us
AI4RISE (AI for Resilient Infrastructure & System Engineering) Lab is dedicated to deriving intelligent, resilient, and environmentally efficient infrastructure through the integration of artificial intelligence, advanced materials, and systems engineering principles. Our research focuses on developing intelligent, high-impact solutions that improve structural performance, enhance resilience to multi-hazard events, optimize lifecycle management, and reduce the environmental footprint of critical infrastructure systems.
Our Transformative Impact
Shaping the future of smart, resilient, and sustainable infrastructure through AI and systems engineering.
Multi-Hazard Resilience
Enhancing infrastructure resilience against multihazards, such as earthquakes and floods through AI and systems engineering.
Environmental Efficiency
Minimizing carbon footprint and optimizing resource utilization across the infrastructure lifecycle via AI-enabled lifecycle analysis and management.
Intelligent Infrastructure
Developing intelligent infrastructure by integrating advanced materials, AI-driven analytics, and systems engineering to support data-informed decision-making.
Our Research Pillars
AI-Powered Systems Engineering
Integrating AI methods, such as xAI, generative AI, deep learning, physics-informed machine learning, and transfer learning with systems engineering principles to to support data-driven decision-making across the infrastructure lifecycle.
Advanced Materials
Exploring advanced materials such as ultra-high-performance concrete (UHPC), high-strength steel (HSS), shape memory alloys (SMA), fiber-reinforced polymers (FRP), and titanium alloy bars (TiABs) to enhance structural performance and durability.
Multi-Hazard Resilience
Developing systems engineering frameworks that integrate AI, advanced simulations, and structural health data to enhance infrastructure resilience to multihazards.
Carbon Footprint Reduction
Reducing environmental impact through AI-optimized concrete mix designs, use of industrial byproducts, and lifecycle-based strategies guided by AI-powered multi-objective optimization.
Top News
Secured ~$550K Research Grant
Awarded major funding from IGEM-HERC to lead AI-driven infrastructure resilience research in the U.S.
June 2025
Selected for 2025 ASCE ExCEEd Workshop
Honored to join ASCE's ExCEEd program focused on advancing excellence in civil engineering education.
April 2025
#1 Most Popular Article in Applied Soft Computing
Featured work on hybrid ML + CTGAN model for UHPC stress-strain prediction tops Elsevier's Applied Soft Computing.
March 2025
Contact Us
Reach out to collaborate on resilient infrastructure, AI innovations, or eco-efficient designs. We’re here to connect!