Welcome to the North Texas Initiative for Resilient Infrastructure, where innovation meets resilience for a stronger tomorrow. Explore our cutting-edge research, transformative projects, and community-driven solutions and education that shape the future of infrastructure resilience in North Texas and beyond.
NEWS
NTIRI Members Awarded the U.S. Department of Labor Grant
Dr. Shahandashti, along with Dr. Roy, Dr. Yin, and Dr. Balderama, has been awarded the U.S. Department of Labor Susan Harwood Training Grant administered by the Occupational Safety and Health Administration (OSHA) for FY 2025. NTIRI members will develop training and educational materials for resilience workers involved in debris removal and clean-up, focusing on hazard awareness, avoidance, and control. The training will also inform resilience workers of their rights and employers of their responsibilities under the Occupational Safety and Health Act.
International Collaboration Spotlight
University of Innsbruck’s researcher and former visiting scholar at NTIRI, Dr. Hajibabaei, presented the collaborative research at EWRI 2021 USA and CCWI 2024 Italy
Dr. Mohsen Hajibabaei, former visiting scholar at NTIRI from the University of Innsbruck, presented collaborative research with NTIRI faculty at the EWRI 2021 conference in the United States and the CCWI 2024 conference in Italy.
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Alumni Spotlight
Dr. Kim joins Wayne State University as an Assistant Professor
NTIRI alumni Dr. Sooin Kim joined Wayne State University as an Assistant Professor after graduating from the University of Texas at Arlington. Alumni Dr. Kim contributed to several National Science Foundation (NSF) funded research project led by NTIRI’s members Dr. Shahandashti, Dr. Yasar, and Dr. Makhmalbaf.
University Profile
Dr. Sharveen Advances Seismic Resilience in Road Infrastructure
Dr. Sharveen recently presented innovative research focused on improving the seismic resilience of concrete road networks through advanced optimization frameworks. Her first study introduces a risk-averse decision-making model that integrates Monte Carlo simulations, traffic modeling, and a customized simulated annealing algorithm to guide seismic rehabilitation planning under uncertainty. In a second study, she unveiled a computationally efficient framework that utilizes topological surrogates and genetic algorithms to significantly reduce processing time while maintaining decision quality. These contributions provide critical tools for transportation agencies to make informed, resource-conscious decisions in seismically active regions.