Behrooz Mansouri

Assistant Professor of Computer Science

(207) 780-4240

Room 232 Science Building

Education

  • Ph.D. Computer Science, Rochester Institute of Technology, USA, 2022
  • M.S. Software Engineering, University of Tehran, Iran, 2017
  • B.S. Software Engineering, Shahid Beheshti University, Iran, 2014

Research Interests

His research interests are Information Retrieval, Web Analysis, Natural Language Processing, Data Mining and Machine Learning

Dr. Behrooz Mansouri has received his Ph.D. in computer science working on math information retrieval system. He was a researcher in the MathSeer Project and Co-organizer of ARQMath lab. Personal website: https://cs.usm.maine.edu/~behrooz.mansouri/

Selected Publications

Mansouri, B., Novotný, V., Agarwal, A., Oard, D. W., & Zanibbi, R. (2022). Overview of ARQMath-3 (2022): Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). Working Notes of CLEF.
Mansouri, B., Zanibbi, R., & Oard, D. W. (2021, July). Learning to Rank for Mathematical Formula Retrieval. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 952-961).
Mansouri, B., Rohatgi, S., Oard, D. W., Wu, J., Giles, C. L., & Zanibbi, R. (2019, September). Tangent-CFT: An Embedding Model for Mathematical Formulas. In Proceedings of the 2019 ACM SIGIR international conference on theory of information retrieval (pp. 11-18).
Mansouri, B., Zanibbi, R., & Oard, D. W. (2019, June). Characterizing Searches for Mathematical Concepts. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 57-66). IEEE.

(207) 780-4240

Room 232 Science Building

Education

  • Ph.D. Computer Science, Rochester Institute of Technology, USA, 2022
  • M.S. Software Engineering, University of Tehran, Iran, 2017
  • B.S. Software Engineering, Shahid Beheshti University, Iran, 2014

Research Interests

His research interests are Information Retrieval, Web Analysis, Natural Language Processing, Data Mining and Machine Learning