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

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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

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)
Investigating drivers’ trust in autonomous vehicles’ decisions of lane changing events

Ayoub, Jackie; Zhou, Feng (HFES, 2020-10)

(880KB)
Investigating drivers’ trust in autonomous vehicles’ decisions of lane changing events

Ayoub, Jackie; Zhou, Feng (2020-10-05)

(879.7KB)
A Machine Learning Approach to Customer Needs Analysis for Product Ecosystems

Zhou, Feng; Ayoub, Jackie; Yang, X. Jessie; Xu, Qianli (2019-10-03)

(1.7MB)
Analyzing Customer Needs of Product Ecosystems Using Online Product Reviews

Ayoub, Jackie; Zhou, Feng; Yang, Jessie; Xu, Qianli (2019-11-25)

(2.3MB)
From Manual Driving to Automated Driving: A Review of 10 Years of AutoUI

Ayoub, Jackie; Zhou, Feng; Bao, Shan; Yang, Xijessie (2019-09-21)

(464.5KB)
Otto: An Autonomous School Bus System for Parents and Children

Ayoub, Jackie; Mason, Brian; Morse, Kamari; Kirchner, Austin; Tumanyan, Naira; Zhou, Feng (ACM CHI, 2020-02-18)

(6.4MB)
A Stimulation Method to Assess the Contractile Status of the Lumbar Extensors in a Seated Posture

Jia, Bochen; Nussbaum, Maury A.; Agnew, Michael J. (Rancho Rehabilitation Engineering Program, Rancho Los Amigos Medical CenterWiley Periodicals, Inc., 2015-11)

(555.3KB)