Associate Professor
Department of Computer and Data Sciences
Case School of Engineering
Devise, design, and develop novel data management and analysis techniques and tools to support data and knowledge management and exploration.
Teaching Information
Teaching Interests
Undergraduate, Graduate, and seminar courses related to Data Systems, Data Management, Data Mining.
Research Information
Research Interests
Database, Data Management, Data Mining, Applied Machine Learning, and multidisciplinary research in materials data science, cyber-physical systems, cyber security, and energy systems.
Awards and Honors
Best Reviewer Award
2023
IEEE International Conference on Data Engineering
Best Paper Award
2020
IEEE BigData Conference
Best Paper Candidate/Finalist
2019
IEEE International Conference on Data Engineering
Distinguished Reviewer
2019
Very Large Data Base Endowment
ACM Research Highlight Award
2018
ACM
Google Faculty Research Award
2015
Google
Publications
- Karimi, A., Wu, Y., Koyutürk, M., & French, R. H. (2021). Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems. , ().
- Ahmed, A., Krishnan, Vignesh V. G., Foroutan, S., Touhiduzzaman, M., Rublein, C., Srivastava, A., ... Suresh, S. (2019). Cyber Physical Security Analytics for Anomalies in Transmission Protection Systems. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 55 (6), 6313-6323.
- Lin, P., Song, R., Wu, Y., & Pi, J. (2019). Discovering Patterns for Fact Checking in Knowledge Graphs. ACM JOURNAL OF DATA AND INFORMATION QUALITY, 11 (3).
- Zhou, M., Wang, Y., Srivastava, A., Wu, Y., & Banerjee, P. (2019). Ensemble-Based Algorithm for Synchrophasor Data Anomaly Detection. IEEE TRANSACTIONS ON SMART GRID, 10 (3), 2979-2988.
- Ma, H., Alipourlangouri, M., Wu, Y., Chiang, F., & Pi, J. (2019). Ontology-based Entity Matching in Attributed Graphs. PROCEEDINGS OF THE VLDB ENDOWMENT, 12 (10), 1195-1207.
Education
PhD
Computer Science
University of Edinburgh
2011
Bachelor of Science
Computer Science
Peking University
2007