My research focuses on interdisciplinary applications of network analysis and modeling. Some representative papers:

Our new research project, funded by DARPA's Lifelong Learning Machines program, started in January 2018. The title of our project is: ``From the Spatio-Temporal Organization of the Brain to Adaptive and Safe Lifelong Learning Machines".

Networks applied in Climate Science: Advancing climate science with knowledge-discovery throughdata mining, with Ilias Fountalis, Annalisa Bracco, Athanasios Nenes, and Fabrizio Falasca. Nature Atmpospheric and Climate Science, January 2018.

Network Science: The Hourglass Effect in Hierarchical Dependency Networks, with Kaeser Sabrin. Journal of Network Science, September 2017.

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.

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.

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).


Teaching (recently)


PhD students and PostDocs:

Former PhD and PostDoc advisees:

Funding and sponsors (recently)

Professional Service (few highlights)