Nicolò Michelusi

Assistant Professor, School of Electrical, Computer and Energy Engineering

                           Nicolo Michelusi      Nicolo Michelusi      Nicolo Michelusi

Note: My group has multiple openings for Ph.D. students. Interested students are encouraged to email a brief resume.


I am an Assistant Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University, USA. I received a Ph.D. degree in Electrical Engineering from the University of Padova, Italy, in 2013, and I was a postdoctoral research fellow at the University of Southern California from 2013 to 2015. I was an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University, USA, from 2016 to 2020. I am a Senior Member of IEEE and served as Associate Editor for the IEEE Transactions on Wireless Communications from 2016 to 2021.

My research focuses on the design and analysis of distributed wirelessly connected systems using methods from stochastic optimization and machine learning.

My current research is funded by NSF under grant CNS-2129015. It was funded by NSF under grant CNS-1642982 and by DARPA to compete in the Spectrum Collaboration Challenge (SC2). I received the NSF CAREER award in 2021, and the IEEE ComSoc Early Achievement Award from the Communication Theory Technical Committee (CTTC) in 2022.

Outside of academia, I am an outdoor enthusiast and avid cyclist. I can also be found in the kitchen cooking up my favorite Italian dishes while listening to Italian Operas.



  • 2023 – current: Editor for the IEEE Transactions on Communications
  • Technical Area Chair for the Communication Systems track, Asilomar 2023
  • 2016 – 2021: Associate Editor for the IEEE Transactions on Wireless Communications
  • Co-Chair for the Distributed Machine Learning and Fog Network workshop at the IEEE INFOCOM 2021
  • Co-Chair for the Wireless Communications Symposium at IEEE GLOBECOM 2020
  • Chair of “IoT, M2M, Sensor Networks, and Ad-Hoc Networking” track in the IEEE Vehicular Technology Conference 2020
  • Symposium Chair for “Cognitive Computing and Networking” at ICNC 2018
  • Reviewer for the following journals:
    — IEEE Transactions on Communications
    — IEEE Transactions on Wireless Communications
    — IEEE Journal on Selected Areas in Communications
    — IEEE Transactions on Information Theory
    — IEEE Transactions on Signal Processing
    — IEEE Transactions on Mobile Computing
    — IEEE/ACM Transactions on Networking
    — IEEE Wireless Communications Letters
    — IEEE Transactions on Vehicular Technology
    — IEEE Transactions on Molecular, Biological and Multi-Scale Communications
  • Organized an invited session at Asilomar’16 and one at Asilomar’17
  • Technical Program Committee member for: IEEE ICNC (2015,2018), ACM NanoCom 2015, European Wireless 2015, MILCOM 2016, IEEE ICC (2016-2018), IEEE WCNC 2017, IEEE GLOBECOM (2015-2017), ACM MSWiM’17, ACM NANOCOM 2015


  • January 2021 – current: Assistant Professor at Arizona State University
  • January 2016 – December 2020: Assistant Professor at Purdue University
  • February 2013 – December 2015: post-doctoral research associate at University of Southern California, Los Angeles, USA
  • August – October 2012: visiting research scholar at Aalborg University, Denmark
  • January 2011 – August 2011: visiting research scholar at the Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA
  • September – December 2009: teaching assistant for the MSc course “Digital Signal Processing” at the Technical University of Denmark
  • June – July 2008: summer trainee at Nokia Denmark on the design of the LTE simulation baseline with the “Modem Algorithm Design” team


  • Bharath Keshavamurthy
  • Muhammad Faraz
  • Akshay Bondre (coadvised with Prof. Christ Richmond at Duke University)
  • Frank Lee (coadvised with Prof. Christopher Brinton at Purdue University)


  • Dr. Tzu-Hsuan Chou (Ph.D. 2022)
    • Thesis: Channel Training and Signal Processing for massive MIMO Wireless Communications
    • Now, Senior Engineer at Qualcomm, San Diego
  • Dr. Chang-Shen Lee (Ph.D. 2021)
    • Thesis: Distributed Network Processing and Optimization under Communication Constraints
    • Now, Artificial Intelligence Research Engineer at Bloomberg LP
  • Dr. Muddassar Hussain (Ph.D. 2021)
    • Thesis: Beam Alignment for Millimeter-Wave Wireless Communications: a Multiscale Approach
    • Now, Senior Cellular Engineer at Qualcomm, San Diego
  • Major Matthew Booth (Ph.D. 2020)
    • Thesis: Multiple Antenna Signal Processing Techniques for Millimeter-Wave Communications
    • Now, Deputy Mission Lead, Space Communications at the United States Air Force
  • Bharath Keshavamurthy (M.Sc. 2019)
    • Thesis: Optimization and Heuristics for Cognitive Radio Design
    • Now, a Ph.D. student in my research group at ASU


  • Dr. Maria Scalabrin (Ph.D. 2020 at University of Padova, Italy)
    • Now, data scientist at Generali Italia