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Jahangiri, Shiva

Biography

I joined the Computer Science and Engineering department in the Fall of 2022. My research interests include Big Data Management Systems, Database for AI/ML, Knowledge Graphs, and Information Integration. Please email me if you are interested in collaborating with me on research or pursuing a Ph.D. in databases (especially if you are working in the industry and would like to pursue your Ph.D. as a part-time student).

Education

Ph.D. Computer Science, University of California, Irvine
M.S. Computer Science (Data Science), University of Southern California

Current Research Interests

Big Data Management Systems, Databases for AI/ML (Vector Search & Indexing), Management of Unstructured and Semi-Structured Data, Resource Management and Query Scheduling, Query Optimization and Query Execution Engines

Courses Taught

  • CSEN 11 -  Advanced Programming (Spring 2024)
  • CSEN 380 -  Advanced Database Systems (Winter 2024)
  • CSEN 178 -  Introduction to Database Systems (Winter 2024)
  • CSEN 11 -  Advanced Programming (Fall 2023)
  • CSEN 174 -  Software Engineering (Spring 2023)
  • CSEN 380 -  Advanced Database Systems (Winter 2023)
  • CSEN 178 -  Introduction to Database Systems (Winter 2023)
  • CSEN 380 - Advanced Database Systems (Fall 2022)

Recent Publications

1. Jahangiri S., Carey M., Freytag J.C. "Memory Management in Complex Join Queries: A Re-evaluation Study," Accepted in ACM SoCC'24. (Acceptance Rate: ≤ 30%)

2. Dani C., Jahangiri S., Hütter T. (University of Salzburg) "Introducing Schema Inference as a Scalable SQL Function," Submitted to EDBT'25.

3. Vaghasiya G., Jahangiri S. "A Hybrid Approach to Group-By and Aggregation Query Execution," Submitted to IEEE BigData'24.

4. Vaghasiya G., Jahangiri S. "Hash-Based vs. Sort-Based Group-By-Aggregate: A Focused Empirical Study," Submitted to EDBT'24.

5. Jahangiri S., Carey M., Freytag J.C. "Towards Fair Query Scheduling in Big Data Management Systems," In Preparation for VLDB'25.

6. Joshi R., Dani C., Jahangiri S., "Big Data Management System Architectures: From Opportunities to Challenges," Proceedings of IEEE BigData, 2023.

7. Jahangiri S., Siviero G., "Towards a Memory-Adaptive Hybrid Hash Join," Proceedings of IEEE BigData, 2023.

8. Jahangiri S., Siviero G., "Towards a Memory-Adaptive Hybrid Hash Join," Poster presentation at ACM Symposium on Cloud Computing (SoCC), 2023.

9. Jahangiri S., Carey M., Freytag J.C. "Tradeoffs in Designing a Robust and Dynamic Hybrid Hash Join," Proceedings of the International Conference on Very Large Data Base Endowment (VLDB), Research (Experimental) Track, 2022.

10. Jahangiri S. "Wisconsin Benchmark Data Generator: To JSON and Beyond," Proceedings of the 2021 International Conference on Management of Data, SIGMOD Conference 2021, online conference, Xi’an, Shaanxi, China, June 20-25, 2021.

11. Jahangiri S. "Re-evaluating the Performance Trade-offs for Hash-Based Multi-Join Queries," Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference, Portland, OR, USA, June 14-19, 2020.

12. Kim T., Behm A., Blow M., Borkar V., Bu Y., Carey M. J., Hubail M., Jahangiri S., Jia J., Li C., Luo C., Maxon I., and Pirzadeh P. "Robust and Efficient Memory Management in Apache AsterixDB," Software - Practice and Experience Journal, 2020.

13. Cohen L., Uras T., Jahangiri S., Arunasalam A., Koenig S., Kumar S. "The FastMap Algorithm for Shortest Path Computations," IJCAI 2018: 1427-1433.

14. Becker K., Jahangiri S., Knoblock C. A. "A Quantitative Survey on the Use of the Cube Vocabulary in the Linked Open Data Cloud," 3rd International Workshop on Semantic Statistics, Bethlehem, U.S., October 2015.

15. Becker K., Tan X., Jahangiri S., Knoblock C. A. "Finding, Assessing, and Integrating Statistical Sources for Data Mining," 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@Lod 2015), University of Mannheim, May 2015.

16. Ghandeharizadeh S., Gorman C., Irani S., Jahangiri S., Lam J., Nguyen H., Tani R., Yap J. "A Demonstration of KOSAR: An Elastic, Scalable, Highly Available SQL Middleware," In ACM/IFIP/USENIX Middleware Conference, Bordeaux, France, December 2014.

Shiva Jahangiri

Assistant Professor, Department Computer Science and Engineering

Email: sjahangiri@scu.edu
Research LAB: DBIS Lab