Mohsen Moghaddam
Assistant Professor, Department of Mechanical and Industrial Engineering
Affiliated Faculty, Khoury College of Computer Sciences
Office
- 453 SN
- 617.373.6256
Related Links
Research Focus
Human-Machine Teaming, Extended Reality, User-Centered Design, Artificial Intelligence, Machine Learning
About
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.
Education
PhD, Industrial Engineering, Purdue University
Honors & Awards
- 2022 Constantinos Mavroidis Translational Research Faculty Award
Teaching Interests
Manufacturing Systems and Techniques/Lab (IE 4530/4531), Intelligent Manufacturing (IE 7270)
Professional Affiliations
Society of Manufacturing Engineers (SME), American Society of Mechanical Engineers (ASME), 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, User-Centered Design, Artificial Intelligence, Machine Learning
Human × Machine Laboratory
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).
Selected Research Projects
FW-HTF-R: Fostering Learning and Adaptability of Future Manufacturing Workers with Intelligent Extended Reality (IXR), Principal Investigator, National Science Foundation (#2128743)
Collaborative Research: From User Reviews to User-Centered Generative Design: Automated Methods for Augmented Designer Performance, Principal Investigator, National Science Foundation (#2050052)
Training an Agile, Adaptive Workforce for the Future of Manufacturing with Intelligent Augmented Reality, Principal Investigator, National Science Foundation (#2026618)
Developing Integrative Manufacturing and Production Engineering Curricula That Leverage Data Science, Co-Principal Investigator, National Science Foundation (#1935646)
Department Research Areas
Selected Publications
Yuan, C., Marion, T., and Moghaddam, M., 2021. Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multi-Modal Deep Regression Model. Journal of Mechanical Design, 21-1418.
Moghaddam, M., Wilson, N.C., Modestino, A.S., Jona, K., and Marsella, S.C., 2021. Exploring Augmented Reality for Worker Assistance versus Training. Advanced Engineering Informatics, 50, 101410.
Raziei, Z. and Moghaddam, M., 2021. Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer. Engineering Applications of Artificial Intelligence, 103, 104296.
Chen, Q., Heydari, B. and Moghaddam, M., 2021. Levering Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation. Journal of Mechanical Design, 143(7): 071701.
Han, Y. and Moghaddam, M., 2021. Eliciting Attribute-Level User Needs From Online Reviews With Deep Language Models and Information Extraction. Journal of Mechanical Design, 143(6): 061403.
Han, Y. and Moghaddam, M., 2021. Analysis of Sentiment Expressions for User-Centered Design. Expert Systems with Applications, 171, p.114604.
Yuan, C. and Moghaddam, M., 2020. Attribute-Aware Generative Design With Generative Adversarial Networks. IEEE Access, 8, pp.190710-190721.
Moghaddam, M., Cadavid, M.N., Kenley, C.R. and Deshmukh, A.V., 2018. Reference Architectures for Smart Manufacturing: A Critical Review. Journal of Manufacturing Systems, 49, pp.215-225.
Nof, S.Y., Ceroni, J., Jeong, W. and Moghaddam, M., 2015. Revolutionizing Collaboration through e-Work, e-Business, and e-Service (Vol. 2). Springer.
See my full list of publications here.
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.
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).”
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.”
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”.
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”.
Apr 09, 2019
FY20 TIER 1 Award Recipients
25 COE faculty and affiliates were recipients of FY20 TIER 1 Interdisciplinary Research Seed Grants for 18 different projects representing up to $900K dollars of investment in research.
Aug 30, 2018
New Faculty Spotlight: Mohsen Moghaddam
Mohsen Moghaddam joins the Mechanical & Industrial Engineering department in August 2018 as an Assistant Professor.