Data Science, Machine Learning, Ethics in AI, Big Data, Social Network Algorithms
Anam Zahid has completed her Masters in Information Technology from NUST; and Bachelors in Software Engineering from Government College University Faisalabad. Prior to joining ITU, she has worked for almost 2 and half years as a Lecturer at Department of Computer Science, National Textile University, Faisalabad. Her latest research interests are in the area of AI for social good, particularly, she studies about fairness and discrimination in social network algorithms (recommender systems, fact checking models etc.). Moreover, she has also keen interest in social network analysis, opinion mining and fake news detection.
- Anam Zahid, Maham Nasir Khan, Ahmer Latif Khan, Faisal Kamiran and B. Nasir, "Modeling, Quantifying and Visualizing Media Bias on Twitter," in IEEE Access, vol. 8, pp. 81812-81821, 2020, doi: 10.1109/ACCESS.2020.2990800.
- Uzair Ahmad, Anam Zahid, Muhammad Shoaib, HarVis: An integrated social media content analysis framework for youtube platform, Elsevier journal of Information Systems, Available online 21 October 2016, ISSN 0306-4379, http://dx.doi.org/10.1016/j.is.2016.10.004.
- Anam Zahid, Rahat Masood, Awais Shibli, Security of sharded NoSQL databases: A comparative analysis. In Conference on Information Assurance and Cyber Security 2014 (CIACS) IEEE, (pp. 1-8).