Walid Chaabene was a master’s student and graduate research assistant in the Department of Mathematics.  His advisor was Bert Huang and he worked at the Machine Learning Lab.  Chaabene’s research focuses on developing predictive machine-learning frameworks using model reduction and link prediction approaches for dynamical networks, with applications to the stock market and social networks.

Come visit us at our locations in Arlington, Falls Church, or one of our three labs on the main Virginia Tech campus. See our locations. Contact Wanawsha Hawrami to schedule a visit or please fill out the form below. Email Wanawsha  

The bachelor of science in Computational Modeling and Data Analytics (CMDA), administered by the Department of Mathematics, teaches students to combine mathematics, statistics, and computer science to solve important practical problems in applications like social network analysis, homeland security, disease spread, cancer therapy, and tsunami prediction. The CMDA program is a collaboration between the Discovery […]

Collaborations in Big Data Our multi-disciplinary research teams apply their technical skills in data science to address modern societal problems. Sanghani Center faculty and students are skilled at computational formulation, model building, assessment of algorithms, implementation over modern computing platforms, and visualization of data and patterns. The Sanghani Center has fostered multi-stakeholder collaborations with fellow […]