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 specifically, 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
Apr 8, 2024 | I have been accepted to participate in the 2024 Cyber Physical Systems (CPS) Rising Stars Workshop at the University of Virginia. The acceptance rate was roughly 16%; so I am very humbled to have been chosen to participate in this program. |
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Mar 23, 2024 | Very honored to announce that my paper entitled, “QoS-Aware Edge AI Placement and Scheduling with Multiple Implementations in FaaS-based Edge Computing” has been recently accepted to appear in the Future Generation Computer Systems as part of the journal’s special issue on “Serverless Computing in the Cloud-to-Edge Continuum”. This paper poses the problem of deploying AI models at the edge and then scheduling requests for them in a QoS-aware manner. The use of federated learning to predict incoming requests is also applied. |
Feb 17, 2024 | I will be serving as a member of the TPC for the 2024 IEEE International Conference on Edge Computing & Communications (EDGE) conference, as part of the IEEE World Congress on SERVICES. Submit any relevant papers (specifically on edge computing, edge AI, edge-to-cloud solutions, etc.) to this conference. |
Feb 13, 2024 | I am thrilled to serve as a member of the TPC for the 2024 IEEE International Conference on Computer Communications and Networks (ICCCN) conference. Please submit any relevant papers to this venue. |
Jan 22, 2024 | Happy to be joining the TPC for the 2024 IEEE Mobile Ad-Hoc and Smart Systems (MASS) conference. |
Jan 12, 2024 | I will be serving as the web chair for the 2024 IEEE e-Science conference. |
Nov 29, 2023 | I am excited to announce that I will, once again, serve as a TPC member for the IEEE PerCom 2024 Work-In-Progress (WIP) session. |
Oct 30, 2023 | Paper entitled, “Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision”, accepted for publication through the 2023 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies conference. |
Oct 8, 2023 | A paper investigating multi-hop reasoning capabilities of Large Language Models has been accepted for publication through the 2023 BlackBoxNLP workshop. A preprint of the paper is available here. |
Sep 28, 2023 | I will be giving a talk on federated learning on the Globus Compute platform on October 13th, 2023 as part of the Rural AI Workshop on Serverless Federated Learning for Remote Internet-of-Things Applications (click here to learn how to attend). |