My research focuses on networks. Some recent papers:

Looking for a new PhD student: Are you interested in the overlap between network science, deep learning, and computational neuroscience? If so, please contact me and apply to our PhD program in Computer Science.

Networks and Brain Science: A symmetry-based method to infer structural brain networks from tractography data, with Kamal Shadi, Saeideh Bakhshi, David Gutman, and Helen Mayberg. Journal of Frontiers in Neuroinformatics, November 2016.

Network Science: The Hourglass Effect in Hierarchical Dependency Networks, with Kaeser Sabrin. Submitted for publication, May 2016.

Networks applied in Climate Science and Neuroscience: delta-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains, with Ilias Fountalis, Bistra Dilkina, Annalisa Bracco, and Shella Keilholz. Submitted for publication, June 2016.

Data Mining and Networks: Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data, with Payam Siyari and Bistra Dilkina. Proceedings of ACM SIGKDD 2016, August 2016.

Networking + Machine Learning: Why didn't my (great!) protocol get adopted?, with Mehdi Nikkhah and Roch Guerin. Proceedings of ACM HOTNETS, November 2015.

Social Networks: Co-evolutionary dynamics in social networks: A case study of Twitter, with Demetris Antoniades. In the Journal of Computational Social Networks, July 2015.

Networks in Biology: An explanatory evo-devo model for the developmental hourglass, with Saamer Akhshabi, Soojin Yi and Shrutii Sarda. F1000 Research, 3:156 (2014).


Education


Teaching (recently)


Advisees

PhD students and PostDocs:

Former PhD and PostDoc advisees:


Funding and sponsors (recently)


Professional Service (few highlights)