I am a fifth year Computer Science PhD student at Purdue University (currently on the job market).
My major focus is on graph alignment, where I focus on low rank approaches to solve these computationally hard problems.
More broadly, I am interested in network science in general and numerical linear algebra problems.
Before joining Purdue, I obtained two Bachelor's degrees in Mathematics and Computer Science, as well as a
diploma in Educational Management and Leadership (My secret dream job was to have my own school
one day) -- all from the
American University of Beirut (AUB).
Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama, Structural graph alignment, submitted
Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich, Low rank methods for multiple network alignment, submitted
Chih-Hsu Lin, Daniel Konecki, Meng Liu, Stephen Wilson, Huda Nassar, Angela Wilkins, David Gleich and Olivier Lichtarge, Multimodal Network Diffusion Predicts Future Disease-Gene-Chemical Associations, Bioinformatics 2018.
Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich, Low Rank Spectral Network Alignment, The Web Conference 2018.
David F. Gleich, Kyle Kloster, Huda Nassar, Localization in Seeded PageRank, Journal of Internet Mathematics 2017.
Huda Nassar and David F. Gleich, Multimodal Network Alignment, SIAM International Conference on Data Mining 2017.
Huda Nassar, Kyle Kloster, David F. Gleich, Strong Localization in Personalized PageRank Vectors, Workshop on Algorithms and Models for the Web Graph 2015.
Julia Purdue University Group (JPUG)
[Past]: Women in Data Science (WIDS)
Software packages and resources
Graph Algorithms in Julia MatrixNetworks.jl
Network Alignment algorithms in Julia NetworkAlign.jl
Julia for data science material from Purdue WIDS 2018.
Intro to Julia.
A quick short tutorial on matrix factorizations
Email: hnassar at purdue.edu
@nassarhuda on Github and Twitter