● Est. 2012 · COMSATS University Islamabad, Lahore Campus
The Knowledge Discovery & Data Mining research group builds methods that extract useful knowledge from data, drawing on statistics, databases, pattern recognition, machine learning, data visualization, optimization and high-performance computing.
01 / Research areas
Spam-review and spammer-group detection, rumour verification, fake-news propagation, opinion mining including Roman-Urdu text, and malware detection.
Travel recommendation from geotagged photos, next-POI prediction, trajectory mining, ride sharing and location privacy on road networks.
Mining desktop and app-usage behaviour for proactive task assistance, personal dataspaces and context-aware decision support.
Hybrid auditory feedback and sonification for visually impaired navigation, and assistive apps for people with Parkinson's and children with autism.
02 / Latest publications
A. Maqsood, H. T. Mirza, A. Muskan, A. Akram, J. Rashid, R. Alharthi, N. Sarwar · Scientific Reports, Springer Nature
M. Ahmed, A. Ahmad, F. Zeshan, H. T. Mirza · World Wide Web, Springer
A. Bilal, H. T. Mirza, A. S. Khan, A. Ahmad, I. Hussain, S. Z. Ali · Knowledge and Information Systems, Springer
A. Majid, L. Chen, H. T. Mirza, I. Hussain, G. Chen · Data & Knowledge Engineering, Elsevier
03 / Group lead
Founder & Head, KDDM Research GroupTenured Professor · In-Charge Computer Science
Department of Computer Science, COMSATS University Islamabad, Lahore Campus
04 / Highlights
All achievements →