Talks:

1. Computation and Communication Co-scheduling for Timely Multi-Task Inference at the Wireless Edge
   • IEEE INFOCOM, London, UK, 2025
   
   
2. Timely Inference over Networks
   • PhD Defense, Auburn University, AL, USA, April, 2024
   • Invited Talk at Purdue University, IN, USA, March, 2024
   • Invited Talk at Northwestern University, IL, USA, March, 2024
   • Invited Poster at ITA, Sandiego, CA, USA, February, 2024
   • Invited Talk at Southeast Control Conference, 2024
   
   
3. Learning and Communications Co-design For Remote Inference: Feature Length Selection and Transmission Scheduling
   • Invited Talk at University of Maryland, College Park, MD, Oct 2023
   • Graduate Engineering Research Showcase, Auburn University, Oct 2023
   
   
4. Communications of Timely Information for Real-time Machine Learning and Networked Intelligence. [poster]
   North American School of Information Theory, University of Pennsylvania, Philadelphia, PA, 2023
   
   
5. How Does Data Freshness Affect Real-time Supervised Learning?
   • Information Theory Application Workshop, San Diego, CA, Feb 2023
   • Auburn University Research Symposium, March 2023
   • ACM MobiHoc, Seoul, South Korea, Oct 2022
   • College of Engineering Research Showcase at the U.S. Space and Rocket Center, Huntsville, AL, Aug 2022
   
   
6. An Interpretation of Information Freshness in Real-time Supervised Learning [slides]
   Proposal Defense, Auburn University, 2022.