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ick Mastronarde is an Associate Professor in the Department of Electrical Engineering at the University at Buffalo. 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.
He has spent four summers (2013, 2015, 2016, 2018) as a faculty fellow 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.
He has spent four summers (2013, 2015, 2016, 2018) as a faculty fellow 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.
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2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRCpp.1-6, (2023)
Neha Mishra, Yamini V. Iyengar, Akshay C. Raikar, Nikitha Thomas,Sabarish Krishna Moorthy,Jiangqi Hu, Zhiyuan Zhao,Nicholas Mastronarde,Elizabeth S. Bentley,Michael J. Medley,Zhangyu Guan
INFOCOM Workshopspp.1-2, (2023)
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IEEE-ACM TRANSACTIONS ON NETWORKINGno. 6 (2023): 3128-3142
ICCpp.6169-6174, (2023)
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COMPUTER NETWORKS (2023): 110076
Comput. Networks (2023): 109804-109804
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