Dr. Chukwuma "Chuma" Nnaji
Laboratory Director and FacultyChukwuma (Chuma) Nnaji is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering. His research focuses on construction safety, human-machine interactions, and workforce development using computational tools and emerging technologies.
Abdullahi Ibrahim
Construction Workers' Situational Awareness: Investigating Physical Fatigue and Emerging Technologies (Summer 2024)
Ifeanyi Okpala
Robotics and Automation in Construction: Developing Foundational Insight and Tools to Support Safe Implementation (Spring 2022)
Muhammad Khan
Developing Tools for Preventing Falls from Roof* (Fall 2025)
Muhammad Sharjeel Anjum
Developing Robust Models for Predicting Worker Fatigue* (Fall 2027)
Olugbenro Ogunrinde
Enhancing Highway Quality Management using Emerging Methods. (Spring 2020)
Prosper Gbiengu
Enhancing Modular Construction Safety Through Implementing Smart Systems* (Spring 2027)
Ashton Greer
Autonomous Engineering: Multi-Scale GIS-Based Approach to Green Infrastructure Design (Summer 2019)
Eleanor Skelton
Improving Engineering Design and Structural Performance Through the Effective Characterization of High-performance Materials in Geotechnical Transportation Engineering (Summer 2022)
Jin Sol Lee
Teleoperation for Time-Sensitive and Challenging Construction Environments: Dive into Cognitive Challenges (Spring 2024)
Kris Harbin
Decision Analysis Tool for Building Renovations Regarding Adaptive Reuse (Fall 2020)
Muhammad T. Hatamleh
Improving the Engineering Project Management Process in Developing Countries: The Impact of Risk Management Within the Project Management Maturity Model (PM3) on The Construction Project Performance (Fall 2020)
Willy Giron
Sustainability Analysis for Construction Companies Under LEED Code (Fall 2018)
Yoojun Kim
Toward Heat-Resilient Construction: Understanding and Improving Worker-Environment Interactions Via Digital Twins (Fall 2025)
Abdallah Abdallah
Enhancing Electrical Utility Work Zone Safety Using Intrusion Alert Systems (Fall 2023)
Ifeanyi Okpala
Developing A Success Model for Implementing Wearable Sensing Devices in the Construction Industry (Fall 2019)
Seoyoung Cheon
TBD (Fall 2024)
No faculty members found.
Chidozie Managwu
Machine Learning Engineer