Ashrant Aryal

Ashrant Aryal is an Assistant Professor in the Department of Construction Science at Texas A&M University’s College of Architecture. His research focuses on integrating IoT, sensor signal processing, machine learning, and AI to enhance building operations for improved human comfort, productivity, and energy efficiency. He holds a Ph.D. in Civil Engineering from the University of Southern California (2020), an M.S. in Data Informatics (2020), an M.S. in Civil Engineering (2018), and a B.S. in Civil and Environmental Engineering from Technion – Israel Institute of Technology (2015).

• Education:
• Ph.D. Civil Engineering, University of Southern California (2020)
• M.S. Data Informatics, University of Southern California (2020)
• M.S. Civil Engineering, University of Southern California (2018)
• B.S. Civil and Environmental Engineering, Technion – Israel Institute of Technology (2015)

His research interests span smart building technologies, energy-efficient systems, occupational health monitoring using wearables, and sustainable construction practices. He explores how data-driven approaches can optimize building envelopes, thermal comfort, and worker safety in diverse environments. His work bridges disciplines such as material science, robotics, and human factors to create adaptive built environments.

Key research trends in his articles include:

• Optimizing phase change materials (PCMs) for energy-efficient buildings
• Developing fatigue classification models using wearable sensors
• AI-driven frameworks for building lifecycle energy assessment
• Robotics adoption strategies in construction workflows
• Thermal comfort modeling and adaptive HVAC controls

Aryal leads a lab (visit Lab Website) focused on convergent research in intelligent built environments. His work emphasizes interdisciplinary collaboration to address challenges in sustainability, safety, and human well-being in architectural and construction systems.