ECS766P Data Mining
The aim of this course is to discuss modern techniques for analysing, interpreting, visualising and exploiting data captured in scientific and commercial environments. The course develops ideas taught in machine-learning courses, discusses issues in applying them to real-world datasets, and covers other techniques and data-visualisation methods. The course also features case-study presentations, and each student undertakes a mini-project on a real-world dataset.
I am Waleed Iqbal, an Assistant Professor in Data Science at Northeastern University, based at their London Campus.
I also hold positions of Teaching Fellow in Computer Science at the School of Electronic Engineering and Computer Science, Queen Mary University of London and Associate Lecturer at Arden University London.
I received my PhD in Computer Science under the supervision of Dr. Ignacio Castro and Prof. Gareth Tyson in the Social Data Science (SDS) Lab, Networks Research Group at Queen Mary University of London.
My research interests are broadly in manifestation of socio-economic inequality in online user activity.
Previously, I worked at IHSAN Lab in Information Technology University Lahore, Pakistan, supervised by Prof. Dr. Junaid Qadir as a postgraduate thesis student, affiliated researcher, and teaching assistant.
Since September 2023, I am endorsed and recognised as UK Global Talent (Exceptional Promise) in the Research and Academic Category by the Royal Academy of Engineering UK and granted Global Talent Visa by the Government of the United Kingdom.