Bo Shen

IE 439: DETERMINISTIC MOD IN OPER RESR

IE 439: DETERMINISTIC MOD IN OPER RESR - HONORS

IE 439: DETERMINISTIC MODELS IN OPERATIONS RESEARCH

IE 449: INDUSTRIAL ROBOTICS

IE 704: SEQUENCING AND SCHEDULING

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.

"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.