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Jialei Chen

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Assistant Professor

Ph.D. in Industrial Engineering (2021), Georgia Institute of Technology

M.S. in Statistics (2020), Georgia Institute of Technology

B.S. in Mechanical Engineering (2016), University of Science and Technology of China

Research Interests:

My research focuses on engineering-driven machine learning methodologies for real-world problems in manufacturing and healthcare. The objective is to develop new models that combine learning methods with domain knowledge,  in order to improve (i) efficiency, performance, and interpretability of the learning models; and (ii) productivity, scalability, and security of the engineering systems. 

My current projects include deep physics-informed learning, Bayesian machine learning and uncertainty quantification, data-driven sensor design and deployment, bio-manufacturing monitoring and quality improvement, and reinforcement learning for manufacturing cybersecurity.

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