Scholar
Yingyan Zeng
Google Scholar ID: 9rM8HmwAAAAJ
Assistant Professor at University of Cincinnati
Citations & Impact
Citations
72
H-index
6
i10-index
1
Publications
14
Co-authors
4
list available
Publications
Resume (English only)
Research Experience
- Graduate Research Assistant, Virginia Tech, Sep 2019–Present.
- Research Scientist Intern, ABB Ltd, Raleigh, NC, Sep 2023–Dec 2023.
- Operations Research Analyst Intern, Eastman Chemical Ltd, Jun 2018–Sep 2018.
- Instructor for ISE 2024: Probability Foundations for ISE, Summer 2023.
- Graduate Teaching Assistant for ISE 2214: Manufacturing Processes Laboratory, Fall 2021 and Spring 2022.
Background
- Assistant Professor in the Department of Mechanical and Materials Engineering at the University of Cincinnati, leading the Data-Centric Intelligence Lab.
- Research focuses on establishing a data quality assurance paradigm to enhance AI modeling performance in the Manufacturing Industrial Internet.
- Investigates data generation, acquisition, valuation, and sharing methods with applications in additive manufacturing, bio-manufacturing, semiconductors, and IoT infrastructure design.
- Heavily employs statistical and machine learning models as well as optimization techniques.
- Also conducts research in interpretable machine learning, predictive modeling with statistical methods, and supply chain optimization using operations research.
