Waleed Iqbal
Assistant Professor in Data Science, Northeastern University London.
I study how socio-economic inequalities surface in online behaviour — from search queries and platform engagement to scholarly publishing. My PhD, supervised by Dr. Ignacio Castro and Prof. Gareth Tyson in the Social Data Science Lab, measured how real-world inequalities travel through the digital traces people leave behind.
Since September 2023 I am endorsed as UK Global Talent (Exceptional Promise) in Research and Academia by the Royal Academy of Engineering.
I'm always open to collaboration — reach out below.
Online Manifestation of Socio-Economic Inequality
Computational Social Science
Internet Measurement
Bibliometrics & Science of Science
Natural Language Processing
news
| Sep 2025 | Co-PI on Neighbourhood Signals: Online Discussions and Crime — £23,794 from REPHRAIN under Safer Streets strand 3. |
| Jun 2025 | Promoted to Assistant Professor in Data Science (Teaching and Scholarship) at Northeastern University London. |
| Jan 2025 | Joined Northeastern University as Lecturer in Data Science at the London campus. |
| Nov 2024 | Passed PhD viva at Queen Mary University of London (minor corrections). |
| Jul 2024 | Working paper on discourse similarity between politicians and constituents on arXiv. |
| Sep 2023 | Recognised as UK Global Talent (Exceptional Promise) by the Royal Academy of Engineering. |
| Mar 2023 | Paper accepted at ICWSM 2023: Lady and Tramp Nextdoor. |
| Sep 2022 | Appointed Teaching Fellow at the School of EECS, Queen Mary University of London. |
| Aug 2019 | Graduated from ITU Lahore with MS Computer Science and Dean's Roll of Honor. |
publications
2026
IslamicLegalBench: Evaluating LLMs' Knowledge and Reasoning of Islamic Law Across 1,200 Years of Islamic Pluralist Legal Traditions
Artificial Intelligence and Law, 1-67
19 citations
2024
2023
Data-Driven Artificial Intelligence in Education: A Comprehensive Review
IEEE Transactions on Learning Technologies, 17, 12-31
611 citations
2023
Lady and the Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social Network
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 17, 399-410
18 citations
2022
Exploring Crowdsourced Content Moderation Through Lens of Reddit During COVID-19
Proceedings of the 17th Asian Internet Engineering Conference (AINTEC), 26-35
18 citations
2022
Exploring Online Manifestations of Real-World Inequalities
Proceedings of the 22nd ACM Internet Measurement Conference (IMC), 762-763
3 citations
2022
A Deep Dive into COVID-19-Related Messages on WhatsApp in Pakistan
Social Network Analysis and Mining, 12(1), 5
43 citations
2021
Characterising the IETF Through the Lens of RFC Deployment
Proceedings of the 21st ACM Internet Measurement Conference (IMC), 137-149
30 citations
2020
A First Look at COVID-19 Messages on WhatsApp in Pakistan
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
37 citations
2020
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
Frontiers in Big Data, 3:587139
98 citations
2020
Leveraging Data Science To Combat COVID-19: A Comprehensive Review
IEEE Transactions on Artificial Intelligence
350 citations
2019
Five Decades of the ACM Special Interest Group on Data Communications (SIGCOMM): A Bibliometric Perspective
ACM SIGCOMM Computer Communication Review, 49(5)
6 citations
2019
A Bibliometric Analysis of Publications in Computer Networking Research
Scientometrics, Springer
94 citations
2016
Experimental study of link quality in IEEE 802.15.4 using Z1 Motes
International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE
8 citations
2016
Bridging Educational Gaps through Volunteers: Implementation, Problems and Their Solutions
Proceedings of the Eighth International Conference on Information and Communication Technologies and Development (ICTD ’16), ACM
1 citations
→ Full list on Google Scholar. Citations updated 2026-11-11
teaching
- 2022 ECS417U Fundamentals of Web Technologies · Teaching Fellow · Semester B 2022/23 Queen Mary University of London
- 2022 ECS766P Data Mining · Lab Demonstrator · Semester C 2022 Queen Mary University of London — M.Sc. Big Data Science Program
education
- Post Graduate Certificate in Academic Practice Queen Mary University of London
- PhD Computer Science Queen Mary University of London
- MS Computer Science Information Technology University, Lahore, Pakistan
- BSc Electrical Engineering University of The Punjab, Lahore, Pakistan