Nathaniel Hudson, Ph.D.
A brief introduction.

312 John Crerar Library
5730 S Ellis Ave
Chicago, IL 60637
I am a computer scientist, currently serving as a Postdoctoral Scholar at Globus Labs out of the University of Chicago’s Department of Computer Science.
A high-level description of my research is the design of systems for serving AI on edge computing infrastructure — i.e., Edge Intelligence (EI) — for smart city applications. More specifcally, my research centers around challenges related to resource limitations available at the edge for supporting EI. Trade-offs between latency, accuracy, resource usage, etc. are common themes in my work.
Some areas of study my research touches include (but are not limited to):
- federated learning
- service placement and request scheduling
- lossy compression techniques
- social mining
- modeling of information diffusion processes
- interdependent and complex networks
- cyber-physical systems
recent news
Aug 4, 2022 | I will be attending Department of Energy Advanced Research Directions on AI for Science and Security (AI4SES) summer workshop series from August 16-18. |
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May 25, 2022 | I was selected to serve as a TPC member for the 2022 IEEE SECON conference. |
Apr 13, 2022 | I successfully defended my doctoral dissertation entitled, “Smart Decision-Making via Edge Intelligence for Smart Cities”. |
Apr 11, 2022 | My paper entitled, “Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-Off with Federated Reinforcement Learning,” has been accepted for publication through the main conference track of IEEE SMARTCOMP 2022. |
Mar 16, 2022 | Diverse Issues in Higher Education - Rising Scholar |
Nov 15, 2021 | My paper on joint compression and offloading decisions in edge computing systems has been accepted for publication through IEEE DySPAN 2021 conference. |
Aug 15, 2021 | I will be attending the CENTRA 2021 meeting in Porto, Portugal from September 14 - September 17 to present some of my research under Dr. Khamfroush in a joint talk. |