Team

Mohamed Ali

Mohamed joined the i²dEAS Lab in Fall 2025 as a doctoral student. He earned his Master of Architecture from Virginia Tech in 2025 and his Bachelor of Science in Architectural Engineering from the Mansoura High Institute of Engineering and Technology in Egypt in 2022. His prior research explored how virtual reality can enhance self-directed learning in exploratory pedagogical settings. Before pursuing his Ph.D., Mohamed gained hands-on professional experience working on large-scale architectural and construction projects, including the renovation of the Knolls 3 and Pumphouse Towers at Dominion Energy’s campus in Richmond, Virginia. At Texas A&M, Mohamed’s research focuses on leveraging digital twin technologies in transportation construction to improve project planning, monitoring, and management.

Research methods: Augmented Reality, XR, Metaverse, and Digital Intelligence

New Ph.D. Position Opening

The i²dEAS Lab at Texas A&M University is inviting applications for a Ph.D. student position beginning Fall 2026. Our lab leads multiple nationally funded projects advancing the convergence of Generative AI, digital twinning, and sustainable transportation. The new Ph.D. student will contribute to emerging research areas in a very friendly, family-like work environment, including GenAI-powered digital twins for resilient infrastructure and urban systems and community disaster resilience.

Preferred Backgrounds:

Construction engineering, civil engineering, computer science, or transportation systems
Experience in data analytics, simulation modeling, or programming (Python, MATLAB, R, or similar)
Strong writing skills with professional artwork creation ability

Minhao Wu

Joining the lab in September 2023, Minhao is a Ph.D. student in Construction Management at Texas A&M University, holding a bachelor's degree in Civil Engineering from the University of New South Wales, Sydney, and a master's degree in structural engineering from UCLA. His practical experience encompasses transportation projects, roles with the Chinese government's Department of Transportation, and work at the Beijing Shen Hua Da Traffic Testing Center. Driven by ambition and intellectual curiosity, Minhao's doctoral research focuses on predictive analytics and digital twinning technologies to capture the mixed modes of new transportation towards creating new knowledge in transportation construction management domains.

Research topic: Generative AI-Fused Prognostics for Construction Monitoring and Maintenance

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You Are A Sight for Sore Eyes, Alumni