Mohsen Moghaddam

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.

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.

Faculty

Aug 19, 2021

Unlocking the Full Potential of the Manufacturing Workforce with IXR

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).”

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.”

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”.

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

Aug 30, 2018

New Faculty Spotlight: Mohsen Moghaddam

Mohsen Moghaddam joins the Mechanical & Industrial Engineering department in August 2018 as an Assistant Professor.

View All Related News