DiCE currently pursues research in four primary areas:
- Data analytics (via wearable sensors, MEMS sensors, EMG Biomechanics, …) and machine learning for safety, health, and productivity improvement in construction.
- Automation and robotics (i.e., UAV/drones, robots) for sustainability, resiliency, and energy efficiency of the built environment and civil infrastructure.
- Simulation and visualization of engineering processes through process mining and Building Information Modeling (BIM).
- Technology-based education for science, technology, engineering, and mathematics (STEM) major students and training for the construction workforce.
Please visit the Publication page for the recent articles presenting our research findings.
Copyright © Reza Akhavian – 2021
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by author(s) or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author’s copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.