The Multimedia Communications and Systems Lab (MCSL) at the State University of New York at Buffalo is led by Prof. Nick Mastronarde and conducts research on resource management in computer systems and wireless networks. Although we work on diverse topics, our research is thematically connected by an underlying mathematical framework (Markov decision processes and reinforcement learning), a common application domain (resource management for multimedia compression, processing, and streaming), and an emphasis on energy-efficiency.
We gratefully acknowledge support from our sponsor.
Available positions: MCSL is currently seeking self-motivated Ph.D. students for Fall 2014 who are interested in conducting research on video streaming over software-defined radios, MPEG DASH in LTE and LTE-Advanced networks, energy-efficient and delay-sensitive communications, data center power management, or related topics. Preference will be given to students with the following credentials:
- An M.S. degree in multimedia communications/systems or related fields
- Relevant research experience in multimedia communications/systems or related fields
- Authored publications in peer-reviewed journals and conferences
- Strong math, programming, communication, and writing skills
Interested students should send the following documents via email to email@example.com:
- Detailed resume (highlighting your education, relevant work experience, and publications)
- Published and submitted papers
- Brief personal research statement
- Any other information that you think will enhance your application package
Competitive financial support is available to qualified students. To learn more about applying to graduate school at UB, please visit UB EE Graduate Admissions.
Nick Mastronarde is an Assistant Professor in the Department of Electrical Engineering at the State University of New York at Buffalo. He received his Ph.D. degree in Electrical Engineering at the University of California at Los Angeles (UCLA) in 2011 and his B.S. and M.S. degrees in Electrical Engineering from the University of California at 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 summer of 2013, 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 I 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 low power multimedia systems, resource allocation and scheduling in wireless networks and systems, dynamic power management, cross-layer design, Markov decision processes (MDPs), and reinforcement learning.
Prof. Nick Mastronarde: firstname.lastname@example.org
Department of Electrical Engineering
226 Davis Hall
State University of New York at Buffalo
Buffalo, NY 14260