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Lulwah AlKulaib


I am an experienced programmer, researcher, and a PhD student in Computer Science at Virginia Tech - NCR. My research interests include: social media analysis, machine learning, and natural language processing.


Virginia Tech

PhD Student, 2018 - Ongoing
Falls Church, VA

George Washington University

MS Computer Science - Machine Learning and Cognition, 2018
Washington, DC

Gulf University for Science and Technology

BS Computer Science, 2011


Kuwait Institute for Scientific Research (KISR) Programmer - Shuwaikh, Kuwait - 2012-2018

    I worked as a programmer in Technology Applications for Special Needs Section where I, among a team provide technical support to people with disabilities. We developed software, created Arabic interfaces to existing ones, customized software according to the needs of the user and built systems with the associated hardware. We also conducted research on each project and presented our output and conclusion in publications.

BEM Controls, Advanced Research Institute – Virginia Tech Summer Intern - Arlington, VA - 2017

    While pursuing my MS degree at GWU, I interned at BEM Controls for three months in the summer of 2017. I worked on developing a mobile application for both iOS and Android using ReactNative for their existing software platform for building energy management.

Public Institution for Social Security (PIFSS) Trainee - Kuwait City, Kuwait 2011- 2012

    After completing my undergraduate degree, I joined the Kuwaiti IBM Workforce Development Initiative Program at the Public Institution for Social Security where we were trained by IBM employees in web and mobile development. Over the training, we have developed and deployed PIFSS mail and document tracking system.
Broniatowski, D. A., Jamison, A. M., Qi, S., AlKulaib, L., Chen, T., Benton, A., . . . Dredze, M. (2018). Weaponized health communication: Twitter bots and russian trolls amplify the vaccine debate.

American Journal of Public Health pp. e1-e7. DOI: 10.2105/AJPH.2018.304567

Qi, S., AlKulaib, L., & Broniatowski, D. "Detecting and characterizing bot-like behavior on twitter".

Paper presented at the 2018; International Conference on Social Computing, Behavioral-Cultural Modeling, Prediction and Behavior Representation in Modeling and Simulation

AlKulaib, L., Qi, S., & Broniatowski, D. (2018). A tutorial on bot-like behavior on twitter.

Tutorial presented at the International Conference on Social Computing, Behavioral-Cultural Modeling, Prediction and Behavior Representation in Modeling and Simulation.

AlKulaib, L. (2018). "Twitter bots multiclass classification using bot-like behavior features."

Unpublished master’s thesis, The George Washington University, Washington, D.C.

R. Pless, R. Begtrup, L. Alkulaib, S. Counts, J. Harnett, J-L Manning, H. Xuan, and D. A. Broniatowski (2017). “Recognizing Images of Eating Disorders in Social Media,”

Proceedings of the 2nd Social Media Mining for Health Applications Workshop & Shared Task.