معرفی
Bo Shen is an Assistant Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). His research focuses on machine learning, deep learning, additive manufacturing, and data analytics with applications in solar physics, healthcare, and materials science. He holds a Ph.D. in Industrial and Systems Engineering from Virginia Tech (2022) and a B.S. in Statistics from the University of Science and Technology of China (2017). His work bridges theoretical advancements in AI with practical industrial and scientific challenges.
Education:
- Ph.D., Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 2022
- B.S., Statistics, University of Science and Technology of China, 2017
Research Interests: Prof. Shen’s research spans deep learning, optimization algorithms, additive manufacturing process analytics, and solar physics data modeling. He develops novel methods for model explainability, anomaly detection in manufacturing, and high-dimensional data analysis. His work often integrates physics-based principles with machine learning frameworks.
Publications: His recent articles address topics like neural operator learning for fatigue prediction, Bayesian optimization in additive manufacturing, and deep learning-driven solar image reconstruction. These reflect a trend toward applying advanced AI techniques to solve interdisciplinary problems in engineering and science.
Awards/Grants: No awards explicitly listed, but his prolific publication record suggests active research engagement. Details on grants or lab affiliations are not provided in the text.
Labs/Teams: While specific lab affiliations are not mentioned, his work aligns with NJIT’s strategic research focus areas in data analytics and advanced manufacturing.
