Mohsen Moghaddam

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

Contact

Social Media

Office

  • 453 SN
  • 617.373.6256

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).

H×M Laboratory

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 ModelJournal 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 TransferEngineering 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 AutomationJournal 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 ExtractionJournal of Mechanical Design, 143(6): 061403.

Han, Y. and Moghaddam, M., 2021. Analysis of Sentiment Expressions for User-Centered DesignExpert Systems with Applications, 171, p.114604.

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

Faculty

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

Faculty

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

Faculty

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

Faculty

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

Faculty

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”.

Faculty

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.

Faculty

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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