SIIR-Lab - Safety Innovation Integration Research Lab at Texas A&M

Welcome to the SIIR-Lab!

At the Safety Innovation Integration Research Lab (SIIR-Lab), we leverage emerging construction technologies, computational models, and our extensive expertise in construction engineering and management to solve critical issues at the intersection of construction health and safety, workforce development, sustainable construction, and construction automation.

Under the directorship of Dr. Chuma Nnaji, PhD, MBA.

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Sharjeel Anjum received Hagler Institute for Advanced Study Graduate Fellowship ($30,000, 1 year)

Congratulations to Sharjeel Anjum on being awarded the prestigious Hagler Institute for Advanced Study Graduate Fellowship! This one-year fellowship, valued at $30,000, supports graduate research, including tuition, fees, and health insurance, and provides the unique opportunity to collaborate directly with Dr. John Schaufelberger. Sharjeel’s innovative work in AI-based fatigue monitoring now receives a major boost, advancing the field of construction safety.

Sharjeel Anjum selected as Data Science Ambassador for 2025–2026 by the Texas A&M Institute of Data Science (TAMIDS)

Congratulations to Sharjeel Anjum for being selected as a Data Science Ambassador for the 2025–2026 academic year by the Texas A&M Institute of Data Science. This competitive scholarship program recognizes outstanding graduate students who serve as leaders in promoting data science and artificial intelligence literacy across the university. As a Domain Data Science Ambassador, Sharjeel will help researchers and students in construction engineering understand the use of data-driven and AI-based methods to improve decision-making. The program is supported by top technology partners, including NVIDIA and Qualcomm.

Sharjeel Anjum, Dr. Chukwuma Nnaji, and Dr. Ashrant Aryal receive patent approval for innovative fatigue monitoring technology

Congratulations to Sharjeel Anjum and faculty members Dr. Chukwuma Nnaji and Dr. Ashrant Aryal for receiving patent approval at Texas A&M University for their groundbreaking work on a domain adaptation technique for physical fatigue monitoring in construction. This innovation leverages wearable sensing and AI-based modeling to enhance safety and productivity in the construction industry.