Yingyan Zeng

Dr. Yingyan Zeng is an Assistant Professor at the Department of Mechanical and Materials Engineering, University of Cincinnati, leading the Data-Centric Intelligence Lab. Her research focuses on creating data quality assurance paradigms to enhance AI modeling performance in Manufacturing Industrial Internet and Healthcare Systems.

• Ph.D. in Industrial and Systems Engineering, Virginia Tech (2024)
• M.S. in Computer Engineering, Virginia Tech (2024)
• B.Eng. in Industrial and Systems Engineering, Shanghai Jiao Tong University (2019)

Her work spans data generation, acquisition, valuation, and sharing, with applications in additive manufacturing, bio-manufacturing, semiconducting, and IoT infrastructure design. She employs statistical and machine learning models, optimization methods, and interpretable AI techniques.

Key trends in her publications include data-centric AI, privacy-preserving frameworks, synthetic data generation, and reinforcement learning in manufacturing. Her research often integrates domain knowledge and addresses challenges in industrial cyber-physical systems.

• 2022 Finalist, QSR Best Paper Competition (INFORMS Annual Meeting)

She has secured industry grants, such as the MME Industry 4.0/5.0 Institute project on AI-driven reinforcement learning for factory operations. Her service roles include VP Marketing and Finance at the INFORMS VT Student Chapter and membership in IEEE Technical Committees.