Bo Shen
Bo Shen
Assistant Professor, Mechanical and Industrial Engr
327 Mechanical Engineering Center (ME)
Education
Ph.D.; Virginia Polytechnic Institute and State University; Industrial and Systems Engineering; 2022
B.S.; University of Science and Technology of China; Statistics; 2017
B.S.; University of Science and Technology of China; Statistics; 2017
2025 Spring Courses
IE 790A - DOCTORAL DISSERTATION
IE 449 - INDUSTRIAL ROBOTICS
IE 700B - MASTER'S PROJECT
EM 725 - INDEPENDENT STUDY I
IE 701B - MASTER'S THESIS
IE 701C - MASTER'S THESIS
EM 700B - MASTER'S PROJECT
IE 725 - INDEPENDENT RESEARCH I
IE 726 - INDEPENDENT RESEARCH II
IE 792B - PRE DOCTORAL RESEARCH
IE 449 - INDUSTRIAL ROBOTICS
IE 700B - MASTER'S PROJECT
EM 725 - INDEPENDENT STUDY I
IE 701B - MASTER'S THESIS
IE 701C - MASTER'S THESIS
EM 700B - MASTER'S PROJECT
IE 725 - INDEPENDENT RESEARCH I
IE 726 - INDEPENDENT RESEARCH II
IE 792B - PRE DOCTORAL RESEARCH
Past Courses
IE 439: DETERMINISTIC MOD IN OPER RESR
IE 439: DETERMINISTIC MODELS IN OPERATIONS RESEARCH
IE 449: INDUSTRIAL ROBOTICS
IE 704: SEQUENCING AND SCHEDULING
IE 439: DETERMINISTIC MODELS IN OPERATIONS RESEARCH
IE 449: INDUSTRIAL ROBOTICS
IE 704: SEQUENCING AND SCHEDULING
Journal Article
Jihoon Chung, Bo Shen, Zhenyu Kong. 2024. “A novel sparse Bayesian learning and its application to fault diagnosis for multistation assembly systems.” IISE Transactions, vol. 56, no. 1, pp. 84--97.
Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, Chaoran Dou, Zhenyu Kong. 2024. “Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing.” IISE Transactions, no. just-accepted, pp. 1--21.
Maede Maftouni, Bo Shen, Andrew Chung Chee Law, Niloofar Ayoobi Yazdi, Fahimeh Hadavand, Fereshte Ghiasvand, Zhenyu Kong. 2023. “A mask-guided attention deep learning model for COVID-19 diagnosis based on an integrated CT scan images database.” IISE Transactions on Healthcare Systems Engineering, vol. 13, no. 2, pp. 132--149.
Bo Shen, Zhenyu Kong. 2023. “Active defect discovery: A human-in-the-loop learning method.” IISE Transactions, pp. 1--14.
Jihoon Chung, Bo Shen, Zhenyu James Kong. 2023. “Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.” Journal of Intelligent Manufacturing, pp. 1--20.
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu Kong. 2023. “Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence.
Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu James Kong. 2022. “Reinforcement learning-based defect mitigation for quality assurance of additive manufacturing.” Journal of Manufacturing Systems, vol. 65, pp. 822--835.
Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, Chaoran Dou, Zhenyu Kong. 2024. “Deep Gaussian Process for Enhanced Bayesian Optimization and its Application in Additive Manufacturing.” IISE Transactions, no. just-accepted, pp. 1--21.
Maede Maftouni, Bo Shen, Andrew Chung Chee Law, Niloofar Ayoobi Yazdi, Fahimeh Hadavand, Fereshte Ghiasvand, Zhenyu Kong. 2023. “A mask-guided attention deep learning model for COVID-19 diagnosis based on an integrated CT scan images database.” IISE Transactions on Healthcare Systems Engineering, vol. 13, no. 2, pp. 132--149.
Bo Shen, Zhenyu Kong. 2023. “Active defect discovery: A human-in-the-loop learning method.” IISE Transactions, pp. 1--14.
Jihoon Chung, Bo Shen, Zhenyu James Kong. 2023. “Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.” Journal of Intelligent Manufacturing, pp. 1--20.
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu Kong. 2023. “Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence.
Jihoon Chung, Bo Shen, Andrew Chung Chee Law, Zhenyu James Kong. 2022. “Reinforcement learning-based defect mitigation for quality assurance of additive manufacturing.” Journal of Manufacturing Systems, vol. 65, pp. 822--835.
Conference Paper
“Predicting Metabolic Rate for Firefighting Activities with Worn Loads using a Heart Rate Sensor and Machine Learning”
2023 IEEE 19th International Conference on Body Sensor Networks (BSN) , October (4th Quarter/Autumn) 2023.
2023 IEEE 19th International Conference on Body Sensor Networks (BSN) , October (4th Quarter/Autumn) 2023.