Industrial and Manufacturing Systems Engineering (IMSE, UM-Dearborn)

Titles
Authors
Subjects
Date

IMSE faculty is actively engaged in research in the areas relevant to industrial and systems engineering. These areas include integrated design and manufacturing, operations research/decision science, and human factors and ergonomics. The faculty consistently obtains competitive research grants from federal government agencies, the state of Michigan and the automotive industry.

Recent Deposits

Systematically Predicting and Preventing Overreliance Through the Human-AI-System Concordance (HASC) Matrix and Cognitive Interventions

Doh, Wonji (2025-04-26)

(5.9MB)
Dimensions of Human Likeness in Conversational AI: Effects on Human Identity Threat and Dehumanization

Lee, Yejin (2025-04-26)

(3.4MB)
Personalized and Distributed Data Analytics in Heterogeneous Environments

Shi, Naichen (2025-04-26)

(10.1MB)
Controllable Transfer Learning and Physics-informed Bayesian Methods for Advanced Predictive Analytics in Dynamic Heterogeneous Environments

Oyewole, Isaiah O. (2025-04-26)

(7MB)
Operations Management Strategies for Complex Supply Chains and Urban Logistics

Guo, Yuchi (2025-08-21)

(2MB)
The Effects of Voice Features in Voice Assistant Systems on Human Perceived Emotion

Kurunthachalam, Nishanth Prabhu (2024-12-21)

(1.6MB)
Impact of Driver-to-Driver Communication on Driving Anger and Aggressive Driving Behavior

Bai, Xue (2024-12-21)

(4.3MB)
Building Pedestrians' Trust and Awareness while Interacting with Automated Vehicles: A Solution through e-HMI Designs

Ammar, Dania (2024-12-20)

(2MB)
Building a Situation Awareness Framework for Communicating Among Road Users in Mixed Automated and Manual Traffic Environments

Avetisyan, Lilit (2024-12-20)

(52.1MB)
Mitigation Strategies to Combat Social Media Addiction Using a Personalized Habit-Driven Model

Taleb, Jana M (2024-04-27)

(4.3MB)
Dynamic Text: Exploring the Relation Between Text Features and Human Emotions

Han, Dasol (2024-04-27)

(4.9MB)
Design a Sustainable Micro-mobility Future: Trends and Challenges in the US and EU

Avetisyan, Lilit; Zhang, Chengxin; Bai, Sue; Pari, Ehsan Moradi; Feng, Fred; Bao, Shan; Zhou, Feng (2022-10-30)

(4.2MB)
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality

Avetisyan, Lilit; Ayoub, Jackie; Zhou, Feng (Elsevier, 2022-07-28)

(9.7MB)
Predicting Driver Takeover Time in Conditionally Automated Driving

Ayoub, Jackie; Du, Na; Yang, X. Jessie; Zhou, Feng (2022-03-10)

(5.8MB)
Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving

Zhou, Feng; Yang, X. Jessie; de Winter, Joost (IEEE, 2021-03-26)

(4.3MB)
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models

Ayoub, Jackie; Yang, "X. Jessie; Zhou, Feng (elsevier, 2021-02-28)

(2.2MB)
Predicting Driver Fatigue in Automated Driving with Explainability

Zhou, Feng; Alsaid, Areen; Blommer, Mike; Curry, Reates; Swaminathan, Radhakrishnan; Kochhar, Dev; Talamonti, Walter; Tijerina, Louis (2021-01-26)

(2.3MB)
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability

Ayoub, Jackie; Yang, X. Jessie; Zhou, Feng (2020-12-23)

(2.3MB)
Emotional Design: An Overview

Zhou, Feng; Ji, Yangjian; Jiao, Roger (2020-10-02)

(325.7KB)
Psychophysiological responses to takeover requests in conditionally automated driving

Du, Na; Yang, X. Jessie; Zhou, Feng (2020-09-23)

(8MB)