Dr. Waleed Iqbal

Dr. Waleed Iqbal

Assistant Professor in Data Science, Northeastern University London · Teaching Fellow, Queen Mary University of London

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.

Neighbourhood Signals: Online Discussions and Crime

Co-PI on a £23,794 REPHRAIN-funded project investigating the relationship between online neighbourhood discussions and crime.

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Dr. Waleed Iqbal

Lady and Tramp Nextdoor: Online Manifestations of Real-World Inequalities

Talk on online manifestations of real-world inequalities at Coseners-MSN 2022.

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Dr. Waleed Iqbal

A First Look at COVID-19 Messages on WhatsApp in Pakistan

The worldwide spread of COVID-19 prompted extensive online discussions, creating an infodemic on social media platforms such as WhatsApp and Twitter. We present the first analysis …

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Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security

Machine Learning as a Service (MLaaS) cloud platforms are widely used, and outsourcing of DL model training to third-party cloud services is increasing. This widespread usage opens …

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Leveraging Data Science To Combat COVID-19: A Comprehensive Review

COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation in March 2020. We systematise ongoing data science …

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Five Decades of the ACM Special Interest Group on Data Communications (SIGCOMM): A Bibliometric Perspective

ACM SIGCOMM has been a major research forum for fifty years and has had a major impact on the history of the Internet. On the 50th anniversary of SIGCOMM, we reflect upon its …

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Dr. Waleed Iqbal

A Bibliometric Analysis of Publications in Computer Networking Research

Computer networking is a major research discipline. We use article content and metadata of four important computer-networking periodicals — IEEE COMST, IEEE/ACM ToN, ACM SIGCOMM, …

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Dr. Waleed Iqbal

Experimental study of link quality in IEEE 802.15.4 using Z1 Motes

In low-power, low-rate wireless networks, IEEE 802.15.4 is a standard protocol. Devices in such networks are typically battery-operated; the radio transceiver is short-range yet …

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Bridging Educational Gaps through Volunteers: Implementation, Problems and Their Solutions

Teachers play a central role in education. However, factors such as non-teaching duties imposed on teachers and low or insufficient teacher qualifications can lower the quality of …

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