Welcome to my web site!
I am an Associate Professor with the Dept. of Electrical and Computer Engineering, University of Rochester as well as an Asaro Biggar Family Fellow in Data Science. I am also affiliated with the Goergen Institute for Data Science. I received the M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Minnesota in 2009 and 2012, under the supervision of Prof. Georgios B. Giannakis. During the 2013 academic year I visited the Computer Science Dept., Carnegie Mellon University, to work with Prof. Christos Faloutsos.
My research is on algorithms, analysis, and application of statistical signal processing tools to the study of networks. Current research focus is on network topology inference, signal representation and inverse problems on graphs; robust, distributed, and sparsity-aware learning from high-dimensional network data; and spectrum sensing for wireless cognitive networks. Interested in Internet monitoring, social, brain network, power grid, and big data analytics.
My (probably outdated) CV can be found here.
- 08/17/17 - Guest Editor (along with Paolo Di Lorenzo and Antonio G. Marques) for the EURASIP Journal on Advances in Signal Processing special issue on Optimization, Learning, and Adaptation over Networks. Check the call for papers here.
- 05/01/17 - Teaching ECE 440 - Introduction to Random Processes in the Fall'17 semester, and ECE 442 - Network Science Analytics during Spring'18.
- 03/15/17 - Co-organizing (along with Mike Rabbat, Antonio G. Marques and Santiago Segarra) the Symposium on Graph Signal Processing as part of IEEE GlobalSIP 2017. Download a PDF Call for Papers here.