Arlei Silva
Assistant Professor of Computer Science
Member, Ken Kennedy Institute
SURF Mentoring
Potential projects/topics: Machine learning with graphs and applications for simulations, cybersecurity, and social networks.
Potential skills gained: Algorithms, statistics, linear algebra
Required qualifications:
- Preferred course completions: At least COMP 182 and 140, COMP 382 desired but not required.
Direct mentor: Faculty/P.I., Graduate Student
Research Areas
My research focuses on developing algorithms and models for mining and learning from complex datasets, broadly defined as data science, especially for data represented as graphs/networks.
I'm particularly interested in problems motivated by computational social science, infrastructure, and healthcare. The tools that I apply to address these problems include machine learning, network science, graph theory, linear algebra, optimization, and statistics.