Mohsen Moghaddam

Assistant Professor,  Mechanical and Industrial Engineering


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Research Focus

Cyber-Physical Manufacturing, Human-Machine Teaming, User-Centered Design, Use-Inspired Artificial Intelligence


I am an Assistant Professor of Mechanical and Industrial Engineering at Northeastern University, Boston. Prior to joining Northeastern, I was with the General Electric-Purdue Partnership in Research and Innovation in Advanced Manufacturing as a Postdoctoral Associate. My areas of research interest include cyber-physical manufacturing, human-machine teaming, user-centered design, and use-inspired AI. I am coauthor of over 40 refereed journal articles and two books including Revolutionizing Collaboration Through e-Work, e-Business, and e-Service (Springer, 2015), and Best Matching Theory & Applications (Springer, 2017). I have also served as reviewer for several international journals such as Int. J. Production Economics, Int. J. Production Research, J. Intelligent Manufacturing, Computers & Industrial Engineering, Decision Support Systems, Computers in Industry, IEEE Trans. on Industrial Informatics, IEEE Trans. on Systems, Man, & Cybernetics, and IEEE Trans. on Automation Science and Engineering. My scholarly research is supported by the National Science Foundation and industry.


PhD, Purdue University, 2016

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

Cyber-Physical Manufacturing, Human-Machine Teaming, User-Centered Design, Use-Inspired Artificial Intelligence

Department Research Areas

Selected Publications

Chen, Q., Heydari, B. and Moghaddam, M., 2021. Levering Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 AutomationJournal of Mechanical Design, pp.1-35.

Han, Y. and Moghaddam, M., 2021. Eliciting Attribute-Level User Needs From Online Reviews With Deep Language Models and Information ExtractionJournal of Mechanical Design143(6).

Han, Y. and Moghaddam, M., 2021. Analysis of Sentiment Expressions for User-Centered DesignExpert Systems with Applications171, p.114604.

Yuan, C. and Moghaddam, M., 2020. Attribute-Aware Generative Design With Generative Adversarial NetworksIEEE Access8, pp.190710-190721.

Moghaddam, M., Chen, Q. and Deshmukh, A.V., 2020. A Neuro-Inspired Computational Model for Adaptive Fault DiagnosisExpert Systems with Applications140, p.112879.

Moghaddam, M., Cadavid, M.N., Kenley, C.R. and Deshmukh, A.V., 2018. Reference Architectures for Smart Manufacturing: A Critical ReviewJournal of Manufacturing Systems49, 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.


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.

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