Matthew Nokleby

Assistant Professor
Department of Electrical and Computer Engineering
Wayne State University
Detroit, MI

e-mail: matthew (dot) nokleby (at) wayne (dot) edu
office: 3115 ENGG

I am an assistant professor in the Department of Electrical and Computer Engineering at Wayne State University. I direct the Information Processing Lab, where we study information theory and signal processing with emphasis on machine learning, wireless communication, and sensor fusion in wireless networks.

My Curriculum Vitae, ResearchGate profile, and Google Scholar profile.


  • Presenting at the DIMACS Workshop on Distributed Optimization, Information Processing, and Learning at Rutgers University in August 2017.
  • New preprint submitted to IEEE Transactions on Signal Processing: "Multi-scale Spectrum Sensing in 5G Cognitive Networks," with Nicolo Michelusi, Urbashi Mitra, and Robert Calderbank.
  • New preprint submitted to IEEE Transactions on Signal and Information Processing over Networks: "Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks," with Waheed U. Bajwa [preprint].
  • Presented work with PhD student Ishan Jindal at the IEEE International Symposium on Information Theory in Aachen, Germany: "Performance Limits on the Classification of Kronecker-Structured Models" [slides].
  • "Low-Dimensional Shaping for High-Dimensional Lattice Codes" published in Nov. 2016 issue IEEE Transactions on Wireless Communications. Joint work with Nuwan Ferdinand at University of Toronto and Behnaam Aazhang at Rice.

Prospective graduate students: I welcome applications from prospective Ph.D. students. If you are interested, email me a CV that includes relevant coursework, grades, and GRE/TOEFL scores as well as a short cover letter describing your research ambitions. I seek indepentent, motivated students with knowledge of linear algebra, probability theory, and optimization. I particularly encourage students of color, women, and students from other underrepresented groups to apply.

I am also interested in working with graduate and undergraduate students for short-term directed study projects related to machine learning and wireless communications. Please contact me if you are interested.