Poster

As part of NASIT, we will be hosting poster sessions. These sessions aim to create an informal and relaxed environment for students to engage with other students and faculty members. They provide an opportunity for students to gain experience in presenting and to discuss their ideas and research projects. We encourage junior graduate students, who may not have original research to present at NASIT, to consider presenting a tutorial-style poster on a topic of interest to them. For more advanced graduate students and post-docs, please note that posters are not peer-reviewed, and previously published results are entirely acceptable.

Poster Format

We will minimize the formality of the poster exhibition to allow students to freely chat, discuss, exchange ideas, and obtain feedback. There are no specific formatting requirements for the posters. However, to accommodate all authors within the available space, please ensure that the overall size of your printed poster does not exceed 42 inches in width.

Presented Posters

Monday
  • One-Shot Achievability Region for Hypothesis Testing with Communication Constraint
    Yuanxin Guo (University of Tornonto)
  • Extremal Mechanisms for Pointwise Maximal Leakage
    Leonhard Grosse (KTH Royal Institute of Technology)
  • Differentially Private Fair Binary Classifications
    Hard Ghoukasian (McMaster University)
  • Learning Reliable Logical Rules with SATNet
    Yuhe(Sissi) Jiang (University of Tornonto)
  • Constructions for Nonadaptive Tropical Group Testing
    Nick Kwan (University of Tornonto)
  • Is Distance Approximation easier than Learning?
    Lorenzo Taschin (EPFL, Switzerland)
Wednesday
  • Universal Graph Compression: Stochastic Block Models
    Lele Wang (University of British Columbia)
  • Transmitter Actions for Secure Integrated Sensing and Communication
    Truman Welling (The Ohio State University)
  • Exchangeability, Finite de Finetti, and Downlink Massive Random Access
    Ryan Song (University of Tornonto)
  • Information Theoretic Analysis and Coding Design for In-Memory Computing
    Binyu Lu (University of Tornonto)