Dr. Chukwuma "Chuma" Nnaji
Laboratory Director and Faculty
Dr. Chukwuma 'Chuma' Nnaji - Chukwuma (Chuma) Nnaji is an Associate Professor in the Departments of Construction Science and Multidisciplinary Engineering (Joint Courtesy Appointment), as well as an Associate Research Scientist at the Texas A&M Transportation Institute (TTI). His research focuses on construction safety, human-machine interactions, and workforce development using computational tools and emerging technologies.
Post-Doctorate Researchers
Dr. Rahat Hussain
Dr. Hussain's research focuses on advancing intelligent systems to improve safety, training, and automation in the built environment. His work emphasizes visual computing, immersive technologies, and language-based AI to enhance risk awareness and knowledge transfer. By combining principles from construction informatics and human-computer interaction, he aims to develop innovative solutions for safer and more efficient industry practices.
Doctoral Students Advised as Chair/Co-Chair
Heba Alkailani
Heba Al Kailani holds a background in Civil Engineering and a Master of Science in Engineering Project Management. Her doctoral research in Construction Science focuses on construction workforce development, workforce safety, and the integration of women in construction. Additional areas of interest include transportation infrastructure management, highway and work zone safety, and the safety and performance of alternative intersections and interchanges.
Muhammad Sharjeel Anjum
Muhammad Sharjeel Anjum's research focuses exclusively on worker safety and health, utilizing cutting-edge technology that combines computer science with machine learning and virtual reality. His work integrates a medical perspective on fatigue identification through theoretical modeling and machine learning methods to identify both central and physical fatigue. He has a versatile educational background, with an undergraduate degree in computer science and a master’s in construction and building
Prosper Gbiengu
Prosper Gbiengu’s research focuses on advancing both fundamental knowledge and practical applications of wearable robotic technology to improve health and safety in the construction industry. His research emphasizes the development, implementation, and adaptation of wearable robots designed to support workers’ physical tasks, reduce fatigue, and mitigate potential hazards. By integrating engineering principles, ergonomics, and human-computer interaction, his research aims to create wearable solu
