Left to right: Jorge Gomez, Md A Rahman, Bozhou Zhuang, Clarissa Quintanilla, Guillermo Gonzalez, Jesus Saenz, and Jose Galvan (10/7/2026)
Welcome to the Structures & Computational Intelligence (SCI) Lab at UTRGV!
Our group focuses on the intersection of infrastructure engineering and artificial intelligence (AI). Research topics include:
(1) Remote Sensing for Natural Hazard Assessment and Infrastructure Resilience
(2) Machine Learning for Infrastructure Condition Assessment
(3) Foundation Models (LLMs/VLMs) for Infrastructure Understanding and Reasoning
(4) Critical Energy and Nuclear Infrastructure Safety and Cyber-Physical Digital Twins
(5) Multimodal Sensing, Nondestructive Evaluation, and Structural Health Monitoring
Our research goal is to advance intelligent, resilient, and autonomous infrastructure systems.
NEWs!
🗓️2026
Nov. 2026 Our paper, "High-Data-Rate Nondestructive Ultrasonic Half-Duplex Data Transmission Through Spent Fuel Canister Walls at Elevated Temperatures", is accepted for publication in Nuclear Engineering and Design(IF=2.5).
Oct. 2026 SCI Lab received access to NASA Commercial Satellite Data Acquisition (CSDA) Programand license for Claude Team Plan for Scientists.
Oct. 2026 Our paper, "Explainable Convolutional Transformer for Contaminant Classification in Recycled Coarse Aggregates (RCA) using Single-Shot Laser-Induced Breakdown Spectroscopy (LIBS)", is accepted for publication in Engineering Applications of Artificial Intelligence (IF=9.0).
Sep. 2026 Our paper, "RAFT-Quake: Improved RAFT Optical Flow for Earthquake Displacement Estimation in Satellite Remote Sensing", is accepted for Presentation at 2027 TRB Annual Meeting.
Sep. 2026 Call for papers:Non-Destructive Assay and Evaluation Methods for Nuclear Waste Management and Radioactive Materials in Annals of Nuclear Energy (IF=2.5).
Aug. 2026 SCI Lab received 750,000 GPU credits from NSF ACCESS & 2,200 node-hours from TACC to support our research on remote sensing intelligence (credit to Ph.D. student Md).