Mohsen Moghaddam

Assistant Professor,  Mechanical and Industrial Engineering
Affiliated Faculty,  Khoury College of Computer Sciences


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  • 177 Huntington Ave, 1219
  • 617.373.6256


  • 177 Huntington Ave, 12th Floor, Boston, Massachusetts 02115

Research Focus

Human-Machine Teaming, Extended Reality, Artificial Intelligence, Machine Learning


Mohsen Moghaddam is an Assistant Professor of Mechanical and Industrial Engineering at Northeastern University, Boston. He received his PhD from Purdue University in 2016 and served the GE-Purdue Partnership in Research and Innovation in Advanced Manufacturing as a Postdoctoral Associate prior to joining Northeastern. His areas of research interest include human-technology teaming through extended reality, user-centered design, and use-inspired AI.


PhD, Purdue University

Honors & Awards

Teaching Interests

Manufacturing Systems and Techniques/Lab (IE 4530/4531), Intelligent Manufacturing (IE 7270), Industrial Extended Reality (IE 5374 ST)

Professional Affiliations

American Society of Mechanical Engineers (ASME), Design Society (DS), Society of Manufacturing Engineers (SME), International Foundation for Production Research (IFPR), Institute of Industrial and Systems Engineers (IISE), Institute for Operations Research and the Management Sciences (INFORMS)

Research Overview

Human-Machine Teaming, Extended Reality, Artificial Intelligence, Machine Learning

Symbiotic & Augmented Intelligence Laboratory (SAIL)

Our vision is to build new techniques, tools, and technologies for automating design and manufacturing processes with a core objective: augment humans and their capabilities rather than attempt to replace them with machines. In the context of our research, human refers to any stakeholder involved in the entire development cycle of a product or a service to conduct cognitive reasoning and decision-making, complex manipulation tasks, or a combination of both. Examples range from a team of designers tasked with eliciting user needs and ideating, prototyping, and evaluating new concepts to a manufacturing worker operating industrial machinery, co-working with a robot, or performing manual work such as assembly, inspection, maintenance, and repair. Our research methodologies build upon the state-of-the-art in artificial intelligence, machine learning, and optimization coupled with human-machine interaction technologies, specifically augmented/mixed/extended reality (AR/MR/XR).

Symbiotic & Augmented Intelligence Laboratory (SAIL)

Selected Publications

See full list of publications here.


Feb 01, 2024

Faculty and Staff Awards 2024

The College of Engineering recognized faculty and staff at the annual faculty and staff awards event and thanked everyone for their hard work and dedication in support of our students, college, and university during the 2023-2024 academic year. View award recipients and photo gallery.

Mohsen Moghaddam


Jul 13, 2023

Developing a New Generation of Intelligent Tutoring Systems for Advanced Manufacturing

MIE Assistant Professor Mohsen Moghaddam is leading a $850,000 NSF grant for “Accelerating Skill Acquisition in Complex Psychomotor Tasks via an Intelligent Extended Reality Tutoring System.”

Mohsen Moghaddam


Dec 16, 2022

Using Spark Fund Award to Better Product and Service Development

MIE Assistant Professor Mohsen Moghaddam is using the Spark Funds he received earlier this year to use AI algorithms and machine learning to better inform new product and service development by more deeply understanding customer needs and enhancing human innovation.


Sep 26, 2022

Impact Engines Spur Multidisciplinary Research Innovation to Solve Global Challenges

Northeastern University has selected its first cohort of Impact Engines to ignite measurable change in problem-solving, three of the five of which are led by engineering faculty.


Sep 20, 2022

Spring 2022 Spark Fund Awardees

Bouve/ChE University Distinguished Professor Mansoor Amiji, ChE Assistant Professor Sara Hashmi, ECE Professor Purnima Ratilal-Makris, and MIE Assistant Professor Mohsen Moghaddam are recipients of the Spring 2022 Spark Fund Awards. The goal of the award is to advance a technology or suite of technologies from academia towards commercialization.


Apr 15, 2022

Faculty and Staff Awards 2022

Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2021-2022 academic school year.

Mohsen Moghaddam


Aug 19, 2021

MIE’s Moghaddam Awarded $2M for Intelligent Extended Reality Research

MIE Assistant Professor Mohsen Moghaddam was awarded a $2M NSF grant for “Fostering Learning and Adaptability of Future Manufacturing Workers with Intelligent Extended Reality (IXR).”

Mohsen Moghaddam


Jul 21, 2021

Advancing How AI Can Augment Designer Performance

MIE Assistant Professor Mohsen Moghaddam is the PI of a $614K NSF grant with co-PIs Tucker Marion (D’Amore-McKim) and Paolo Ciuccarelli (CAMD), in collaboration with Lu Wang from the University of Michigan – Ann Arbor, for the project “From User Reviews to User-Centered Generative Design: Automated Methods for Augmented Designer Performance.”

Mohsen Moghaddam


Aug 11, 2020

Using Augmented Reality to Train Workforce With New Methods

MIE Assistant Professor Mohsen Moghaddam (PI), Digital Learning Assistant Vice Chancellor Kemi Jona, Khoury Professor Stacy C. Marsella, Public Policy Associate Professor Alicia Sasser Modestino, and CATLTR Associate Director Nicholas C. Wilson, in collaboration with consultant Robert Roy, Massachusetts Manufacturing Extension Partnership, and Microsoft HoloLens Group, were awarded a $150K NSF grant for “Training an Agile, Adaptive Workforce for the Future of Manufacturing with Intelligent Augmented Reality”.

Sagar Kamarthi, Jacqueline Isaacs, Xiaoning Jin, Mohsen Moghaddam, and Kemi Jona


Oct 07, 2019

$2M NSF Grant to Develop Data Science Modular Courses for Production Engineering Workforce

MIE Professors Sagar Kamarthi, Interim Dean Jacqueline Isaacs, Assistant Professors Xiaoning Jin, Mohsen Moghaddam, and Assistant Vice Chancellor for Digital Innovation and Enterprise Learning Kemi Jona were awarded a $2M NSF grant for “Developing Integrative Manufacturing and Production Engineering Curricula That Leverage Data Science”.

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