2026

ADVEIARvR

First Things First: Effects of Sequential AR/VR Exposure on Skill Acquisition in Industrial Training

V Phadke, C Harteveld, K Jona, M Moghaddam

Advanced Engineering Informatics 71, 104328

2025

PSI

psiUnity: A Platform for Multimodal Data-Driven XR

A Ajikumar, S Mayenkar, S Yoo, S Reza, M Moghaddam

arXiv preprint arXiv:2511.05304

TSMC

Multimodal Assessment of Expertise in AR-Guided Psychomotor Tasks

S Yoo, C Harteveld, N Wilson, K Jona, M Moghaddam

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Des

The Future of Design: Five Key Snapshots

K Goucher-Lambert, A Layton, J Menold, M Moghaddam, Z Sha, C Seepersad

Journal of Mechanical Design 148 (3), 030201

Adaptive AR

Context-Aware Augmented Reality for Human-Robot Collaboration

S Davari, A Ajikumar, M Moghaddam

IEEE Symposium of Mixed and Augmented Reality (ISMAR) Adjunct, 436-437

Safety

A machine learning based framework for identifying consumer product injuries from social media data

H Bhatt, S Das, M Moghaddam, G Nanda

Injury, 112927

HAT

HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization

S Reza, Y Zhang, M Moghaddam, O Camps 

European Conference on Computer Vision

JARVIS

Conceptualizing Cognitive and Physical Worker-Technology Symbiosis in Manufacturing

M Moghaddam, M Klumpp

Procedia Computer Science

ACOSI

Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis

Y Han, M Moghaddam

Journal of Computing and Information Science in Engineering

AIDes

Integrating AI into the Front End of New Product Development

T Marion, C Yuan, M Moghaddam

Research-Technology Management

2024

IXR

AI-Integrated AR as an Intelligent Companion for Industrial Workers: A Systematic Review

S Yoo, S Reza, H Tarashiyoun, A Ajikumar, M Moghaddam

IEEE Access

ARVRTeas

Exploring the Distinctive and Synergistic Affordances of AR and VR for Complex Psychomotor Training

V Phadke, C Harteveld, K Jona, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

CPF

Not Lost In Translation—Spatiotemporally-Aligned Human-Machine Interfaces Through IoT-Integrated AR

A Ajikumar, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

DUME

Do You Understand Me, DUM-E? Enabling Seamless Human-Robot Communication Through AR

A Ajikumar, S Marsella, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

VREye

Exploring Eye Tracking to Detect Cognitive Load in Complex Virtual Reality Training

M Nasri, M Kosa, L Chukoskie, M Moghaddam, C Harteveld 

IEEE International Symposium on Mixed and Augmented Reality

Exp

Exploring Dimensions of Expertise in AR-Guided Psychomotor Tasks

S Yoo, C Harteveld, N Wilson, K Jona, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

DCG-GAN

DCG-GAN: Design Concept Generation with Generative Adversarial Networks

P Ghasemi, C Yuan, T Marion, M Moghaddam 

Design Science

WOZ

Towards an Intelligent Augmented Reality Tutoring System for Precision Manufacturing

PG Torshizi, H Tarashiyoun, M Moghaddam, S Marsella 

Proceedings of the 18th International Conference of the Learning Sciences

ISLSGaze

Estimating Action-Specific Expertise in AR-Guided Learning and Training by Modeling Visual Attention

DW Yoo, H Tarashiyoun, M Moghaddam 

Proceedings of the 18th International Conference of the Learning Sciences

2023

HandAction

Towards Seamless Egocentric Hand Action Recognition in Mixed Reality

S Reza, Y Zhang, O Camps, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

GazePPL

Modeling Gaze Behavior for Real-Time Estimation of Visual Attention and Expertise Level in AR

DW Yoo, H Tarashiyoun, M Moghaddam 

IEEE International Symposium on Mixed and Augmented Reality

AR Med

Augmenting Human-Machine Teaming Through Industrial AR: Trends and Challenges

M Moghaddam

Systems Collaboration and Integration

IDETC2023

A Design Knowledge Guided Position Encoding Methodology for Implicit Need Identification

Y Han, M Moghaddam

International Design Engineering Technical Conferences

ABD

Extracting Latent Needs From Online Reviews Through Deep Learning Based Language Model

Y Han, R Bruggeman, J Peper, EC Chehade, T Marion, P Ciuccarelli, M Moghaddam

Proceedings of the Design Society

ICEDP

Are Generative Adversarial Networks Capable of Generating Novel and Diverse Design Concepts?

P Ghasemi, C Yuan, T Marion, M Moghaddam

Proceedings of the Design Society

COLLAB

Collaborative Control and E-Work Automation

M Moghaddam, SY Nof

Springer Handbook of Automation, Vol. 2

Ego4D

Enhancing Transformer Backbone for Egocentric Video Action Segmentation

Y Han, M Moghaddam

3rd International Ego4D Workshop @ CVPR 2023

Editorial

Emerging Technologies and Methods for Early-Stage Product Design and Development

M Moghaddam, T Marion, K Holtta-Otto, K Fu, A Olechowski, C McComb

Journal of Mechanical Design

DDEG

DDE-GAN: Integrating a Data-Driven Design Evaluator into GANs for Desirable & Diverse Concept Generation

C Yuan, T Marion, M Moghaddam 

Journal of Mechanical Design

PDMA

AI for User-Centered New Product Development: From Large-Scale Need Elicitation to Generative Design

TJ Marion, M Moghaddam, P Ciuccarelli, L Wang 

The PDMA Handbook on Innovation and New Product Development

ISLS2323

Exploring XR for Scaffolding Psychomotor-Intensive Tasks in Complex Real-World Settings

NC Wilson, M Kosa, C Harteveld, M Moghaddam, K Jona 

Proceedings of the 17th International Conference of the Learning Sciences

2022

MAS

Attribute-Sentiment-Guided Summarization of User Opinions from Online Reviews

Y Han, G Nanda, M Moghaddam 

Journal of Mechanical Design

MAST5 IDETC

Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation from Online Reviews

Y Han, M Moghaddam, MT Suthar, G Nanda 

International Design Engineering Technical Conferences

JIM

Trends in Intelligent Manufacturing Research: A Keyword Co-Occurrence Network-based Review

C Yuan, G Li, S Kamarthi, X Jin, M Moghaddam 

Journal of Intelligent Manufacturing

2021

DMDE Model

Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model

C Yuan, T Marion, M Moghaddam 

Journal of Mechanical Design

ADVEIP

Exploring Augmented Reality for Worker Assistance versus Training

M Moghaddam, NC Wilson, AS Modestino, K Jona, SC Marsella 

Advanced Engineering Informatics

ARL

Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer

Z Raziei, M Moghaddam

Engineering Applications of Artificial Intelligence

EMSI

Data Science Skills and Domain Knowledge Requirements in the Manufacturing Industry

G Li, C Yuan, S Kamarthi, M Moghaddam, X Jin 

Journal of Manufacturing Systems

MRL

Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation

Q Chen, B Heydari, M Moghaddam

Journal of Mechanical Design

JMD1

Eliciting Attribute-Level User Needs from Reviews with Deep Language Models and Information Extraction

Y Han, M Moghaddam

Journal of Mechanical Design

ESWA

Analysis of Sentiment Expressions for User-Centered Design

Y Han, M Moghaddam

Expert Systems with Applications

GAN Access

Attribute-Aware Generative Design With Generative Adversarial Networks

C Yuan, M Moghaddam

IEEE Access

All Publications

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