Department of Computer Science

Dr. Fatima Anjum
Dr. Fatima Anjum
Assistant Professor
Department of Computer Science, LCWU

Experience

7th March 2019 to till date

Assistant Professor        

Lahore College for Women University

6th June, 2012 to 6th March2019

Lecturer          

Lahore College for Women University

December, 2007 to May 2010

Lecturer

University of Agriculture, Faisalabad

Graduate Students /Postdocs/Undergraduate Students/Honour Students

Years                    Degree              Name

2018                            MSCS                   Fareeha Khan        

2014                            BSCS                    Khadija Maqsood 

2014                            BSCS                    Ambreen Munir

2014                            BSCS                    Marina Shahid

2014                            BSCS                    Amna Ayub

2014                            BSCS                    Iqra Shafique

2014                            BSCS                    Rubab Liaqat

2014                            BSCS                    Mayra Waheed

2014                            BSCS                    Amna Waheed

 

2013                            BSCS                    Mehroz Zahid

2013                            BSCS                    Samiya Rafiq

2013                            BSCS                    Sehar Qayyum

Service Activity

  1. Teaching to Graduate and Masters students.
  2. Supervising the research projects and thesis of Graduate and Masters research students.
  3. Departmental coordinator for Laptop Distribution.
  4. External examiner for affiliated colleges.
  5. Admission and other Administrative duties.

Brief Statement of Research Interest

From many fields in the Computer Science, I am especially interested in Computer vision, image processing, visual detection, tracking & navigation and embedded systems. Within this field, I am concerned with different vision algorithms and their applications. My research focuses on developing algorithms that can improve feature matching, by representing informative parts of an image while reducing the computational overhead for real time image processing. Moreover, simple and effective methods for automatic pattern identification for normal or abnormal behavior classification in predetermined areas under surveillance to make it smart and intelligent environment.

Furthermore, I am working in a group of researchers who are trying to develop new detectors and descriptors for tracking and navigation applications both for robots and humans. I have recently published three research papers regarding my field. Two more research papers are under review in international journals. Simultaneously, we are working to compare the performance of different non-parametric statistical tests for vision data. 

Publications

 

  • Fatima Anjum, Nadia Kanwal, Adrian F Clark, Erkan Bostanci, Statistical evaluation of corner detectors: does the statistical test have an effect?, IET Computer Vision, Volume 12(7), May 2018, Pages 1018-1030 (IF: 1.087).
  • Anjum F., Kanwal N, Altaf Z., Shaukat A., "Comparing Multiple Corner Detection Algorithms using Non-Parametric Statistical Tests", Pakistan Journal of Science, March, 2016, 68(1), pages 97-100 (HEC ‘X’ category Journal).
  • Mehwish T., Kanwal N., Anjum F.,  “FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery”, Journal of Robotics, 2016, 11pages, Hindawi publishers. (included in ISI Master Journal List, HEC X-Category).
  • Under Review:
  • Fatima Anjum, Nadia Kanwal, Mamoona Naveed Asghar, Ayesha Anjum, Sadia Murawwat, An Improved Descriptor for Matching Local Image Features: Segmented Region's Angle, Intensity and Gradient (SAIG), IET Image Processing, 2019.
  • Fatima Anjum, Nadia Kanwal, Ayesha Anjum, “An Efficient Pattern Recognition Method for Human Behavior Identification in Smart Environments”, Pattern Recognition Letters, 2019.

Selected Professional Presentations

Attended and presented a research paper in Research Colloquium for PhD students of Natural Science, Engineering and Technology organized by Lahore College for Women University, (January 2017).