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Mohsen Moghaddam
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Proceedings Papers

A Design Knowledge Guided Position Encoding Methodology for Implicit Need Identification From User Reviews

Yi Han, Mohsen Moghaddam
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A092, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116789
https://doi.org/10.1115/DETC2023-116789
View Paper titled, A Design Knowledge Guided Position Encoding Methodology for Implicit Need Identification From User Reviews
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Topics: Design, Encryption
Journal Articles

Special Issue: Emerging Technologies and Methods for Early-Stage Product Design and Development

Mohsen Moghaddam, Tucker Marion, Katja Holtta-Otto, Kate Fu, Alison Olechowski, Christopher McComb
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Guest Editorial
J. Mech. Des. April 2023, 145(4): 040301.
Paper No: MD-23-1008
https://doi.org/10.1115/1.4056744
Published Online: February 28, 2023
View Article titled, Special Issue: Emerging Technologies and Methods for Early-Stage Product Design and Development
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Topics: Design, Product design
Journal Articles

DDE-GAN: Integrating a Data-Driven Design Evaluator Into Generative Adversarial Networks for Desirable and Diverse Concept Generation

Chenxi Yuan, Tucker Marion, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041407.
Paper No: MD-22-1446
https://doi.org/10.1115/1.4056500
Published Online: January 10, 2023
View Article titled, DDE-GAN: Integrating a Data-Driven Design Evaluator Into Generative Adversarial Networks for Desirable and Diverse Concept Generation
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Topics: Data-driven design, Design, Generative design, Generators
Journal Articles

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

Yi Han, Gaurav Nanda, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041402.
Paper No: MD-22-1296
https://doi.org/10.1115/1.4055736
Published Online: December 9, 2022
View Article titled, Attribute-Sentiment-Guided Summarization of User Opinions From Online Reviews
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Topics: Durability, E-commerce, Entropy, Natural language processing, Product design, Product development, Stability, User-centered design, Design, Absorption
Proceedings Papers

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

Yi Han, Mohsen Moghaddam, Meet Tusharbhai Suthar, Gaurav Nanda
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A007, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90108
https://doi.org/10.1115/DETC2022-90108
View Paper titled, Aspect-Sentiment-Guided Opinion Summarization for User Need Elicitation From Online Reviews
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Topics: E-commerce, Product design, User-centered design
Journal Articles

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

Chenxi Yuan, Tucker Marion, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021403.
Paper No: MD-21-1418
https://doi.org/10.1115/1.4052366
Published Online: September 21, 2021
View Article titled, Leveraging End-User Data for Enhanced Design Concept Evaluation: A Multimodal Deep Regression Model
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Topics: Design, Regression models, Product development
Journal Articles

Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation

Qiliang Chen, Babak Heydari, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. July 2021, 143(7): 071701.
Paper No: MD-20-1388
https://doi.org/10.1115/1.4049531
Published Online: January 29, 2021
View Article titled, Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation
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Topics: Algorithms, Artificial neural networks, Manufacturing, Reinforcement learning, Robotics, Robots, Machinery, Resilience, Inspection, Materials handling
Journal Articles

Eliciting Attribute-Level User Needs From Online Reviews With Deep Language Models and Information Extraction

Yi Han, Mohsen Moghaddam
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2021, 143(6): 061403.
Paper No: MD-20-1442
https://doi.org/10.1115/1.4048819
Published Online: November 20, 2020
View Article titled, Eliciting Attribute-Level User Needs From Online Reviews With Deep Language Models and Information Extraction
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Topics: Design, E-commerce, Natural language processing, Algorithms, Preferences, Product design, Weight (Mass), Machinery