Prof. Le Gruenwald

University of Oklahoma, USA

Email: [email protected]

Qualifications

1990 Ph.D., Southern Methodist University, USA

1983 M.Sc., University of Houston, USA

1978 B.Sc., University of Saigon, Vietnam

Publications (Selected)

1. Phung, N., Samad, A., Leal, E., & Gruenwald, L. (2024, December). Short Paper: Predictive Trajectory Stream Indexing. In 2024 IEEE International Conference on Big Data (BigData) (pp. 5829-5832). IEEE.
2. Barbosa, D., Gruenwald, L., D’Orazio, L., & Bernardino, J. (2024). QRLIT: Quantum Reinforcement Learning for Database Index Tuning. Future internet, 16(12), 439.
3. Panjei, E., & Gruenwald, L. (2023, August). EXOS: Explaining outliers in data streams. In International Conference on Big Data Analytics and Knowledge Discovery (pp. 25-41). Cham: Springer Nature Switzerland.
4. Winker, T., Çalikyilmaz, U., Gruenwald, L., & Groppe, S. (2023, June). Quantum machine learning for join order optimization using variational quantum circuits. In Proceedings of the international workshop on big data in emergent distributed environments (pp. 1-7).
5. Çalikyilmaz, U., Groppe, S., Groppe, J., Winker, T., Prestel, S., Shagieva, F., ... & Gruenwald, L. (2023). Opportunities for quantum acceleration of databases: Optimization of queries and transaction schedules. Proceedings of the VLDB Endowment, 16(9), 2344-2353.
6. Gruenwald, L., Winker, T., Çalikyilmaz, U., Groppe, J., & Groppe, S. (2023). Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications. In VLDB Workshops.
7. Gruenwald, L., Winker, T., Çalikyilmaz, U., Groppe, J., & Groppe, S. (2023). Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications. In VLDB Workshops.
8. Santos-Pereira, J., Gruenwald, L., & Bernardino, J. (2022). Top data mining tools for the healthcare industry. Journal of King Saud University-Computer and Information Sciences, 34(8), 4968-4982.
9. Sadri, Z., & Gruenwald, L. (2022, July). A divergent index advisor using deep reinforcement learning. In International Conference on Database and Expert Systems Applications (pp. 139-152). Cham: Springer International Publishing.
10. Borah, A., Gruenwald, L., Leal, E., & Panjei, E. (2021, December). A GPU algorithm for detecting contextual outliers in multiple concurrent data streams. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 2737-2742). IEEE.
11. Mustafa, H., Barrus, C., Leal, E., & Gruenwald, L. (2021, April). Gtraclus: A local trajectory clustering algorithm for gpus. In 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW) (pp. 30-35). IEEE.
12. Re-optimization, M. O. (2021, June). Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization. In Model and Data Engineering: 10th International Conference, MEDI 2021, Tallinn, Estonia, June 21–23, 2021, Proceedings (Vol. 12732, p. 141). Springer Nature.
13. Sadri, Z., Gruenwald, L., & Lead, E. (2020, August). DRLindex: deep reinforcement learning index advisor for a cluster database. In Proceedings of the 24th Symposium on International Database Engineering & Applications (pp. 1-8).
14. Sadri, Z., Gruenwald, L., & Leal, E. (2020, April). Online index selection using deep reinforcement learning for a cluster database. In 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) (pp. 158-161). IEEE.

Profile Details

https://www.ou.edu/coe/cs/people/faculty/le-gruenwald

https://scholar.google.com/citations?user=MTdLuRsAAAAJ&hl=en

https://www.researchgate.net/profile/Le-Gruenwald