Dr. Faryal Nosheen
Category: Faculty
Published on: October 18, 2023

PERSONAL INFORMATION

Name Dr. Faryal Nosheen
Email (official if available, otherwise personal) Faryal.buic@bahria.edu.pk
Phone (office extension)
Research Area Data Engineering, Rough Set Theory, Dominance Based Rough Set Theory
Number of Publications 3 Conferences, 2 Journals

AFFILIATIONS

Designation Assistant Professor
Department Department of Computer Science
University Bahria University, Islamabad Campus

QUALIFICATION

Degree Passing Year Majors University
PhD 2023 Data Engineering, Machine Learning National University of Sciences and Technology
MS 2014 Software Engineering National University of Sciences and Technology
Masters in Computer Science 2002 Software Engineering, Discrete Mathematics, Artificial Intelligence Hamdard University

TEACHING EXPERIENCE

Designation From To Organization
Lecturer 2002 2005 Govt. College University for Women, Madina Town, Faisalabad

PUBLICATIONS Conference Proceedings

1 F. Nosheen, U. Qamar and M. S. Raza, “A Heuristic Approach to Dynamically Update Approximations of Dominance Based Rough Set Theory,” 2022 24th International Conference on Advanced Communication Technology (ICACT), 2022, pp. 341-346,doi: 10.23919/ICACT53585.2022.9728793.
2 F. Nosheen, U. Qamar and S. Raza, “A Novel Approach for Periodically Updating Rough Approximations Upon Multi-Dimension Variation,” 2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2), 2022, pp. 1-7, doi: 10.1109/ICoDT255437.2022.9787436.
3 F. Nosheen and U. Qamar, “Flexibility and privacy control by cookie management,” 2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC), 2015, pp. 94-98, doi: 10.1109/DINWC.2015.7054224.

Journal Publications

1 Nosheen, F., Qamar, U. & Raza, M.S. Redefining preliminaries of dominance-based rough set approach. Soft Comput 26, 977–1002 (2022). https://doi.org/10.1007/s00500-021-06619-y.
2 Nosheen, F., Qamar, U. & Raza, M.S. A parallel rule-based approach to compute rough approximations of dominance based rough set theory. Engineering Applications of Artificial Intelligence 115, (2022). https://doi.org/10.1016/j.engappai.2022.105285.