Gary C. Butler Family Associate Professor
Education
- Ph.D. Industrial Engineering (2016), Purdue University
- M.S. Industrial Engineering (2012), University of Tehran
- B.S. Industrial & Systems Engineering (2009), University of Tehran
About
Mohsen Moghaddam is the Gary C. Butler Family Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. He directs the Symbiotic and Augmented Intelligence Lab (SAIL), where his research focuses on developing human-centered computational models, algorithms, and tools at the intersection of AI and spatial computing to enhance learning and creativity in various cognitive and psychomotor tasks within industrial settings. Previously, Dr. Moghaddam was an Assistant Professor in the Department of Mechanical and Industrial Engineering and an Affiliated Faculty with the Khoury College of Computer Sciences at Northeastern University in Boston. He has also served as a Visiting Professor with the HumanTech project at Politecnico di Milano and as a Visiting Scholar at the Next Level Lab, Harvard University. Dr. Moghaddam earned his PhD in Industrial Engineering from Purdue University and completed a Postdoctoral Associate position at the GE-Purdue Partnership in Research and Innovation in Advanced Manufacturing. His research has been supported by the U.S. National Science Foundation, the U.S. Defense Advanced Research Projects Agency, the U.S. Navy, and industry partners.
Research
Dr. Moghaddam's research focuses on XR, human-centered AI and robotics, developing computational models, algorithms, and immersive systems that enable effective collaboration between people and intelligent machines. Rather than replacing human effort, his work aims to augment human cognitive, physical, and social capabilities across the product and service lifecycle—from design and decision-making to hands-on collaboration with robots in complex, high-stakes environments. His lab studies human–AI–robot teaming, skill and cognitive augmentation, and extended embodiment through XR, with the goal of creating adaptive, transparent, and resilient systems that preserve human agency while expanding what people can achieve alongside AI. Visit SAIL to learn more about his research.
Teaching
Dr. Moghaddam's teaching integrates human-centered AI, XR, and data-driven methods to prepare students to design and deploy intelligent systems that work effectively with people. He teaches XR for Engineering (cross-listed in ISyE and ME), where students gain hands-on experience developing immersive systems for engineering design, training, and human–machine interaction using industry-standard tools. He also teaches Methods and Applications of Machine Learning and Human-Integrated Systems, emphasizing core machine learning principles, optimization, and system-level thinking for building adaptive, human-in-the-loop technologies. Across these courses, Dr. Moghaddam prioritizes experiential learning, team-based projects, and real-world applications that bridge theory and practice.
Awards and Honors
- Faculty Research Team Award, Northeastern University, 2024
- Constantinos Mavroidis Translational Research Faculty Award, Northeastern University, 2022