Charalampos (Babis) Tsourakakis

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I received my Ph.D. from the
Algorithms, Combinatorics and Optimization (ACO)
program in May 2013 under the supervision of Professor
Alan Frieze.
My dissertation
focuses on mathematical and algorithmic problems that arise in
the analysis of network and biological data.

During my first years at Carnegie Mellon University
I was supervised by Professor Christos Faloutsos
in the Machine Learning Department.

Currently, I am postdoctoral fellow at the
Institute for Computational and Experimental Research in Mathematics (ICERM)
in Brown University,
for the semester program on
Network Science and Graph Algorithms.

My mentor is Professor Eli Upfal.

In Fall'13, I visited Aalto University.
I taught there a class on
random graphs and complex networks.

My main research goal is to develop principled approaches
that create value out of data based on well-founded
mathematical, statistical and algorithmic tools.

I am particularly interested into studying structural properties of complex networks,
analyzing random processes on graphs, big graph data analytics and stochastic graph models.

Also, I participate in an interdisciplinary project on cancer data mining in collaboration with Professor
Russell Schwartz.

**Email:** tsourolampis@gmail.com

- I am a Program Committee member for
WWW 2015, ESA 2015,

CIKM 2014, WWW 2014 and ICWSM 2014. - Invited by the National Institute of Informatics (NII) of Japan,
to the NII Shonan Meeting

"Algorithms for Large-Scale Graphs" (October 2014). - Invited to Harvard by Yaron Singer (September 2014).
- Invited by the MIT Lincoln Laboratory to the 5th annual Graph
Exploitation

Symposium (GraphEx) (August 2014). - Honored to become a reviewer for the Czech Science Foundation.
- My dissertation featured in the nuit blanche blogspot
- See my recent work on finding near-cliques efficiently.
- My work on balanced graph partitioning for massive graphs (Fennel)

is featured by Microsoft Research.

- Alan Frieze, Aristides Gionis and I will give a tutorial in KDD 2013 and in ECML PKDD 2013 on Algorithmic techniques for modeling and mining large graphs.