University at Buffalo, The State University of New York

Multimedia Communications and Systems Lab


The Multimedia Communications and Systems Lab (MCSL) at the University at Buffalo is led by Prof. Nick Mastronarde. We conduct research on resource management in computer systems and wireless networks, with recent emphasis on UAV networks and systems. Although we work on diverse topics, a lot of our research is thematically connected by an underlying mathematical framework (Markov decision processes and reinforcement learning), a common application domain (scheduling and resource management), and an emphasis on energy-efficiency.

We gratefully acknowledge support from the Air Force Research Laboratory and the National Science Foundation.



Nick Mastronarde is an Associate Professor in the Department of Electrical Engineering at the University at Buffalo, The State University of New York. He received his Ph.D. degree in Electrical Engineering at the University of California, Los Angeles (UCLA) in 2011 and his B.S. and M.S. degrees in Electrical Engineering from the University of California, Davis in 2005 (Highest Honors, Department Citation) and 2006, respectively. He has been the recipient of several awards and honors including a first year department fellowship through the Electrical Engineering department at UCLA, the Dissertation Year Fellowship through the Graduate Division at UCLA, and the Dimitris N. Chorafas Foundation Award for 2011.

In the summers of 2013, 2015, and 2016, he participated in the Air Force Summer Faculty Fellowship Program (AF SFFP) at the US Air Force Research Laboratory (AFRL) Information Directorate in Rome, NY. In the summer of 2010, he was a graduate intern at IBM Research Watson Lab in the Exploratory Stream Analytics group where he developed learning algorithms for discovering anomalies in massive volumes of streaming data. In the summer of 2007, he was a graduate student intern at Intel Corporation in the Graphics Architecture Team where he developed and patented an algorithm enabling the selective use of fractional and bidirectional video motion estimation in an H.264/AVC encoder.

Prof. Mastronarde's research interests are in the areas of resource allocation and scheduling in wireless networks and systems, UAV networks, 4G/5G networks, dynamic power management, cross-layer design and optimization, Markov decision processes (MDPs), and reinforcement learning.


Prof. Nick Mastronarde:

Department of Electrical Engineering
226 Davis Hall
University at Buffalo
Buffalo, NY 14260


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