Nicholas Mastronarde
Scholar

Nicholas Mastronarde

Google Scholar ID: 1RuDJX8AAAAJ
Professor and Chair, Department of Electrical Engineering, University at Buffalo
Reinforcement learningMarkov decision processesNextG and UAV networksSpectrum coexistence
Citations & Impact
All-time
Citations
1,043
 
H-index
16
 
i10-index
28
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Recipient of several awards including a first-year department fellowship through the Electrical Engineering department at UCLA, the Dissertation Year Fellowship through the Graduate Division at UCLA, the Dimitris N. Chorafas Foundation Award for 2011, the 2020 SEAS Senior Teacher of the Year Award, and UB's Teaching Innovation Award 2022.
Research Experience
  • Spent summers as a graduate intern at IBM Research Watson Lab developing learning algorithms for discovering anomalies in massive volumes of streaming data, and as a graduate student intern at Intel Corporation working on an algorithm enabling selective use of fractional and bidirectional video motion estimation in an H.264/AVC encoder. Also, served four summers as a faculty fellow at the US Air Force Research Laboratory (AFRL) Information Directorate in Rome, NY.
Education
  • Received a Ph.D. degree in Electrical Engineering from the University of California, Los Angeles (UCLA) in 2011; B.S. and M.S. degrees in Electrical Engineering from the University of California, Davis in 2005 (Highest Honors, Department Citation) and 2006, respectively.
Background
  • Research interests include resource allocation and scheduling in wireless networks and systems, UAV networks, 5G and beyond networks, cross-layer design and optimization, Markov decision processes (MDPs), and reinforcement learning.
Miscellany
  • Currently an Associate Professor in the Department of Electrical Engineering at the University at Buffalo.