Abdussalam Alawini

Abdussalam Alawini

For more information

• alawini.com

Education

• Ph.D. Computer Science
• MSc. Engineering and Technology Management
• MSc. Computer Science

Biography

Abdussalam Alawini received the B.S. degree in Computer Science from the University of Tripoli in 2002, and the M.A. and Ph.D. degrees in Computer Science from Portland State University in 2011 and 2016. Dr. Alawini is a teaching assistant professor with the Department of Computer Science at the University of Illinois at Urbana-Champaign. Dr. Alawini’s research interests are broadly in the field of databases, with a focus on scientific data management. He is particularly interested in applying machine learning methods to various problems of modern data management systems, including data provenance, data citation and managing file-based datasets.

Academic Positions

• Postdoctoral Research Fellow, University of Pennsylvania, Computer and Information Science, 07/2016-07/2018

Resident Instruction

• CS411 Database Systems

Research Interests

• Computer Science Education
• Scientific Data Management
• Data Provenance
• Database Systems

Chapters in Books

• Alawini, A., Borgan, M., Alharbi, M., & Zehr, W. (2011). Call Tracking-Technology Selection Model. (S)
• Alawini, A., Tanatanmatorn, N., Tucker, D., Tucker, K., & Daim, T. (2013). Technology adoption: building IT. In Research and Technology Management in the Electricity Industry (pp. 213-228). Springer, London. (S)

Articles in Conference Proceedings

• Yinjun Wu, Abdussalam Alawini, Daniel Deutch, Tova Milo, Susan B. Davidson. (2019). To appear in the 45th International Conference on Very Large Data Base. VLDB 2019 (LA, USA 2019).
• Zheng, N., Alawini, A., Ives, Z. (2019). Extending Fine-Grained Provenance to ETL Tasks. To appear in the 35th International Conference on Data Engineering (ICDE 2019, China).
• Alawini, A., Chen, L., Davidson, S., Fisher, S., & Kim, J. (2018, July). Discovering Similar Workflows via Provenance Clustering: A Case Study. In International Provenance and Annotation Workshop (pp. 115-127). Springer, Cham.
• Wu, Y., Alawini, A., Davidson, S. B., & Silvello, G. (2018, May). Data Citation: Giving Credit Where Credit is Due. In Proceedings of the 2018 International Conference on Management of Data (pp. 99-114). ACM.
• Alawini, A., Davidson, S. B., Silvello, G., Tannen, V., & Wu, Y. (2018). Data Citation: A New Provenance Challenge. IEEE Data Eng. Bull., 41(1), 27-38.
• Xu, J., Zhang, W., Alawini, A., & Tannen, V. (2018). Provenance Analysis for Missing Answers and Integrity Repairs. Data Engineering, 39.
• Alawini, A., Davidson, S. B., Hu, W., & Wu, Y. (2017). Automating data citation in CiteDB. Proceedings of the VLDB Endowment, 10(12), 1881-1884.
• Alawini, A., Chen, L., Davidson, S. B., Da Silva, N. P., & Silvello, G. (2017, June). Automating data citation: the eagle-i experience. In Digital Libraries (JCDL), 2017 ACM/IEEE Joint Conference on (pp. 1-10). IEEE.
• Alawini, A., Maier, D., Tufte, K., Howe, B., & Nandikur, R. (2015, June). Towards automated prediction of relationships among scientific datasets. In Proceedings of the 27th International Conference on Scientific and Statistical Database Management (p. 35). ACM.
• Alawini, A., Maier, D., Tufte, K., & Howe, B. (2014, June). Helping scientists reconnect their datasets. In Proceedings of the 26th International Conference on Scientific and Statistical Database Management (p. 29). ACM.

Journal Editorships

• The Journal of Information Systems (2016)

Conferences Organized or Chaired

• Proceedings Co-Chair, SIGMOD 2020

Public Service Honors

• Portland State President’s Award for University Service. (2015)

Courses Taught

• CS 411 - Database Systems
• CS 498 - Smart Cities