Dr. Waleed Iqbal
Assistant Professor in Data Science, Northeastern University London
Teaching Fellow, Queen Mary University of London
About
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.
Education
PhD Computer Science
2020 – 2024
Queen Mary University of London
MS Computer Science
2015 – 2018
Information Technology University, Lahore, Pakistan
BSc Electrical Engineering
2009 – 2013
University of The Punjab, Lahore, Pakistan
Research Interests
September 2025
- Our project (Neighbourhood Signals: Online Discussions and Crime) has secured £23,794 in funding from the National Research Centre on Privacy, Harm Reduction and Adversarial Influence Online (REPHRAIN) under REPHRAIN Safer Streets strand 3. I’ll be working as Co-Principal Investigator with Dr. Ignacio Castro, QMUL.
June 2025
- I have been promoted to Assistant Professor in Data Science (Teaching and Scholarship) at Northeastern University and will remain based at their London Campus.
April 2025
- I delivered two lectures on Natural Language Processing for Northeastern University London Campus’s Global Postgraduate Taster Lectures.
January 2025
- I joined Northeastern University as Lecturer in Data Science, based at their London Campus.
November 2024
- I successfully passed my PhD subject to usual minor corrections.
July 2024
- Our working paper on discourse similarity analysis between elected politicians and constituents is available on ArXiv: “How Similar Are Elected Politicians and Their Constituents? Quantitative Evidence From Online Social Networks”.
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.
- Paper accepted for presentation in IEEE Transactions on Learning Technologies: “Data-Driven Artificial Intelligence in Education: A Comprehensive Review”.
July 2023
- Project accepted for presentation in COSENERS 2023, London, UK: “Exploring online Manifestations of Real-World Inequalities in the Nextdoor Social Network”.
March 2023
- Project accepted for presentation in Data Native 2023, London, UK: “Online Manifestations of Real-World Inequalities in the Nextdoor Social Network”.
- Paper accepted in 17th International AAAI Conference of Web and Social Media (ICWSM) 2023: “Lady and Tramp Nextdoor: Online Manifestations of Real-World Inequalities in the Nextdoor Social Network”.
November 2022
- Paper accepted in 17th Asian Internet Engineering Conference (AINTEC) 2022: “Exploring Crowdsourced Content Moderation Through Lens of Reddit during COVID-19”.
September 2022
- I accepted a position of Teaching Fellow of Computer Science at the School of Electronic Engineering and Computer Science, QMUL.
- Travel Grant accepted for ACM Internet Measurement Conference (IMC) 2022.
- Poster accepted in IMC 2022: “Exploring Online Manifestations of Real-World Inequalities”.
August 2022
- I am serving as Shadow Technical Program Committee Member for IMC 2022.
June 2022
- Successfully passed Stage Two (Second Year Progression) of my PhD at Queen Mary University of London.
October 2021
- Paper accepted in Springer Social Networks and Mining (SNAM) Journal: “A Deep Dive into COVID-19 Related Messages on WhatsApp in Pakistan”.
August 2021
- Paper accepted in ACM IMC 2021: “Characterising the IETF Through the Lens of RFC Deployment”.
October 2020
- Paper accepted in IEEE/ACM ASONAM 2020: “First Look at COVID-19 Messages on WhatsApp in Pakistan”.
- Paper accepted in Frontiers in Big Data: “Securing Machine Learning (ML) in the Cloud: A Systematic Review of Cloud ML Security”.
August 2020
- Paper accepted in IEEE Transactions on Artificial Intelligence: “Leveraging Data Science To Combat COVID-19: A Comprehensive Review”.
January 2020
- Started as PhD Student in the Networks Research Group, Queen Mary University of London.
October 2019
- Editorial accepted in Computer Communication Review: “Five Decades Of The ACM Special Interest Group On Data Communications (SIGCOMM) A Bibliometric Perspective”.
March 2019
- Paper accepted in Springer Scientometrics Journal: “A Bibliometric Analysis of Publications in Computer Networking Research”.
August 2019
- Graduated from Information Technology University Lahore, Pakistan and received my MS Computer Science degree with Dean’s Roll of Honor.
June 2018
- Successfully defended my MS thesis titled “Analysis of Computer Networking Research: A Bibliometric Study” with no further corrections.
May 2016
- Paper accepted in IEEE IWCMC 2016: “Experimental study of link quality in IEEE 802.15. 4 using Z1 Motes”.
April 2016
- Poster paper accepted in ACM ICTD 2016: “Bridging Educational Gaps through Volunteers; Implementation, Problems and their Solutions”.
October 2015
- Secured Graduate Student Fellowship at Information Technology University Lahore, Pakistan for my MS Computer Science. This fellowship is grant to top 15% students of the batch.