Lulwah AlKulaib

PhD Candidate,Computer Science,Virginia Tech


I am a Computer Science PhD candidate at the Virginia Tech -National Capital Region campus, advised by Chang-Tien Lu.

Research Interests

My research develops models with applications to social media analysis, low-resource languages, and public health.

My current research combines the previous experience gained in research positions and my interests in Natural Language Processing, Machine Learning, and Deep Learning. 

Keywords: Natural Language Processing, Machine Learning, Low-resource Languages, Social Networks, Misinformation Detection, Behavioral Modeling, Impairments, and Disabilities.


BS in Computer Science, 

2011, Kuwait

MS in Computer Science, 

2018, Washington, DC

PhD Candidate in Computer Science 

Ongoing, Falls Church, VA


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, provided 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 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 the PIFSS mail and document tracking system.