Ms. Faima Abbasi
Category: Faculty
Published on: February 16, 2015
Last updated on November 4th, 2021
Personal Information
Name Ms. Faima Abbasi  
Email faima.buic@bahria.edu.pk
Phone 9260002 ext 1602
Research Area Graph Data Mining, Machine learning, Deep learning, and Algorithm Design
Number of Publications Conferences = 04
Journals = 01
Affliliation
Designation Lecturer
Department Computer Science
University Bahria University, Islamabad Campus
Qualification
Degree Passing Year Majors University
MS 2019 Computer Science Bahria University, Islamabad
BS 2016 Computer Science Bahria University, Islamabad
Teaching Experience
Designation From To Organization
Lecturer Sep 2020 Date Bahria University, Islamabad
Jr. Lecturer Sep 2019 Aug 2020 Bahria University, Islamabad
Lab Engineer Jan 2018  Sep 2019 Bahria University, Islamabad
Publications

Journals:

Sr. # Publication
1. Muhammad Muzammal, Faima Abbasi, Qiang Qu, Romana Talat and Jianping Fan: A Decentralised Approach for Link Inference in Large Signed Graphs. Future Generation Computer Systems, Vol. 102, pages 827-837, 2020. (JCR 1, Impact Factor: 5.768)

Conferences:

Sr. #  Publication
1 Abbasi, F. and Muzammal, M., 2021. Exploiting Modularity Maximisation in Signed Network Communities for Link Prediction. 15th International Conference on Information Technology and Applications (ICITA). (Accepted)
2 Abbasi, Faima, Romana Talat, and Muhammad Muzammal. “An Ensemble Framework for Link Prediction in Signed Graph.” 2019 22nd International Multitopic Conference (INMIC). IEEE, 2019.
3 Abbasi. Faima, Muhammad Muzammal, and Qiang Qu, “A Decentralized Approach for Negative Link Prediction in Large Graphs.” 2018 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE, 2018
4 Abbasi. Faima, Ayesha Waseem, and Erum Ashraf. “Augmented reality based teaching in classrooms.” Communication, Computing and Digital Systems (C-CODE), International Conference on. IEEE, 2017.