Education

• Ph.D., Industrial Engineering, Purdue University, 2016
• M.Sc., Industrial Engineering, University of Tehran, Iran, 2012
• B.Sc., Industrial and Systems Engineering, University of Tehran, Iran, 2009

Teaching Interests

Professor 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-Centered 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.

Research Interests

Professor 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.

Recent Publications

None