Our Team

Our team advances human-machine collaboration in infrastructure systems

Postdoctoral Researchers

Jinfeng

Jinfeng Lou

jinfengl@andrew.cmu.edu

Jinfeng is a Carnegie Bosch Fellow at Carnegie Mellon University, researching human-AI collaboration for infrastructure resilience and emergency response. He received his Ph.D. from the University of Hong Kong and has led and participated in multiple international research projects on smart construction, modular buildings, and digital infrastructure systems.

PhD Students

Miaosi

Miaosi Dong

miaosid@andrew.cmu.edu

Miaosi is a Ph.D. candidate researching building production and cyber-physical systems. She develops flexible manufacturing processes with production digital twins, applies AI/ML to optimize advanced working packages, and enhances human-AI collaboration. Her interdisciplinary work integrates digital twins and automated learning to boost construction efficiency and decision-making.


Ava

Ava Jahan Biglari

avaj@andrew.cmu.edu

Ava is a Ph.D. candidate at Carnegie Mellon University, where she also earned her M.Sc. in Civil & Environmental Engineering. She holds a B.Sc. in Civil Engineering from the University of Tehran. Her research focuses on enhancing the safety and efficiency of heavy-duty vehicle fleets through digital twins, physics-informed machine learning and human-AI collaboration.


Seongeun

Seongeun Park

seongeup@andrew.cmu.edu

Seongeun is a Ph.D. student studying how to design infrastructure systems that humans and AI can easily operate together. She uses graph-based analysis to examine how procedural representation and structural complexity influence decision-making in safety-critical environments, and explores approaches that embed operability into the design process from the outset.


Joonsun

Joonsun Hwang

joonsunh@anderew.cmu.edu

Joonsun is a Ph.D. student researching human-AI collaboration in manufacturing and civil infrastructure. His work focuses on capturing and transferring human operators’ tacit knowledge using reinforcement learning, enabling AI systems to support both expert and novice workers during complex adjustment tasks. He holds a Bachelor of Architecture from Seoul National University.


Tek

Tek Narayan Bhattarai

tbhattar@andrew.cmu.edu

Tek is a Ph.D. student at Carnegie Mellon University. His interests lie in using modeling, remote sensing, and AI tools to make infrastructure and communities adaptive and resilient to hydro-climatic extremes like floods under a changing climate. He holds an MSc in Water Science and Engineering from the IHE Delft Institute for Water Education, specializing in flood risk management, and a Bachelor's in Civil Engineering from the Institute of Engineering, Pulchowk Campus, Nepal.


Tek

Abias Nabimanya

anabiman@andrew.cmu.edu

Abias is a PhD student at Carnegie Mellon University. His research focuses on the use of emerging technologies, including digital twins and artificial intelligence, to enhance the intelligence, sustainability, and resilience of civil infrastructure. He holds a Master of Engineering from Tongji University and a Bachelor’s degree from Harbin Engineering University.

MS Students

Zhou

Zhou Wang

zhouw@andrew.cmu.edu

Zhou received his Bachelor’s degree in Civil Engineering from Syracuse University. His current research explores the integration of mass timber with modular construction methods, with a focus on enhancing sustainability, manufacturing efficiency, and structural performance in the built environment.


Zhou

Yitong Zhang

yitongz2@andrew.cmu.edu

Yitong's research focuses on human-AI collaboration in infrastructure inspection, aiming to support knowledge transfer and improve decision-making.