2025
Vision-Language Models for Design Concept Generation: An Actor-Critic Framework
P Ghasemi, M Moghaddam
Journal of Mechanical Design
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
S Reza, Y Zhang, M Moghaddam, O Camps
European Conference on Computer Vision
Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis
Y Han, M Moghaddam
Journal of Computing and Information Science in Engineering
2024
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
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
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
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
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
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: Design Concept Generation with Generative Adversarial Networks
P Ghasemi, C Yuan, T Marion, M Moghaddam
Design Science
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
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
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
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
Augmenting Human-Machine Teaming Through Industrial AR: Trends and Challenges
M Moghaddam
Systems Collaboration and Integration
A Design Knowledge Guided Position Encoding Methodology for Implicit Need Identification
Y Han, M Moghaddam
International Design Engineering Technical Conferences
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
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
Collaborative Control and E-Work Automation
M Moghaddam, SY Nof
Springer Handbook of Automation, Vol. 2
Enhancing Transformer Backbone for Egocentric Video Action Segmentation
Y Han, M Moghaddam
3rd International Ego4D Workshop @ CVPR 2023
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
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
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
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
Attribute-Sentiment-Guided Summarization of User Opinions from Online Reviews
Y Han, G Nanda, M Moghaddam
Journal of Mechanical Design
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
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
Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model
C Yuan, T Marion, M Moghaddam
Journal of Mechanical Design
Exploring Augmented Reality for Worker Assistance versus Training
M Moghaddam, NC Wilson, AS Modestino, K Jona, SC Marsella
Advanced Engineering Informatics
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Z Raziei, M Moghaddam
Engineering Applications of Artificial Intelligence
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
Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation
Q Chen, B Heydari, M Moghaddam
Journal of Mechanical Design
Eliciting Attribute-Level User Needs from Reviews with Deep Language Models and Information Extraction
Y Han, M Moghaddam
Journal of Mechanical Design
Analysis of Sentiment Expressions for User-Centered Design
Y Han, M Moghaddam
Expert Systems with Applications
Attribute-Aware Generative Design With Generative Adversarial Networks
C Yuan, M Moghaddam
IEEE Access
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