Past Events

One of the benefits for affiliate members of WNCG is early recruiting access to our 150+ graduate students. In a typical year, affiliate contacts are invited to the WNCG Open house, an in-person recruiting event here on campus in Austin. This year, due to travel restriction uncertainty during the tail of the pandemic, our WNCG Open House takes a different form. Affiliate contacts should check their email for a message from incoming WNCG director Todd Humphreys for instructions on accessing this year's recruiting material electronically.

It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in wireless communications, including physical layer processing and resource allocation.

9:00 AM - 10:00 AM Central (CDT; UTC -5) Access: Seminar will be delivered live on Wednesday, March 31, 2021 at 9:00 AM Central (CDT; UTC -5) via the following link: Zoom A Zoom account is required in order to access the seminar. Zoom is accessible to UT faculty, staff, and students with support from ITS. Otherwise, you can sign up for a free personal account on the Zoom website.

9:00 AM - 10:00 AM Central (CDT; UTC -5)   Access: Seminar will be delivered live on Friday, March 26, 2021 PM Central (CDT; UTC -5) via the following link: Zoom link A Zoom account is required in order to access the seminar. Zoom is accessible to UT faculty, staff, and students with support from ITS. Otherwise, you can sign up for a free personal account on the Zoom website(link is external).

9:00AM - 10:00AM U.S. Central Time (CST / UTC -6) Seminar will be delivered live via Zoom on Friday, March 12 at the date and time above. The Zoom conferencing system is accessible to UT faculty, staff, and students with support from ITS. Otherwise, you can sign up for a free account on the Zoom website.

Join this virtual event to learn the behind-the-scenes stories of e-tattoo research and development.

Graph Neural Networks (GNNs) have become a popular tool for learning representations of graph-structured inputs, with applications in computational chemistry, recommendation, pharmacy, reasoning, and many other areas.

Seminar will be delivered live via Zoom on Thursday, November 5, 2020 at 11:00AM - 12:00PM U.S. Central Time (CST / UTC -6). The Zoom conferencing system is accessible to UT faculty, staff, and students with support from ITS. Otherwise, you can sign up for a free account on the Zoom website.

Machine learning as a service (MLaaS) has emerged as a paradigm allowing clients to outsource machine learning computations to the cloud. However, MLaaS raises immediate security concerns, specifically relating to the integrity (or correctness) of computations performed by an untrusted cloud, and the privacy of the client’s data. In this talk, I discuss frameworks we built on cryptographic tools that can be used for secure deep learning based inference on an untrusted cloud: CryptoNAS (building models for private inference) and SafetyNets (addressing correctness).

Seminar will be delivered live via Zoom on Friday, October 30, 2020 at 9:00AM - 10:00AM U.S. Central Time (CDT / UTC -5). The Zoom conferencing system is accessible to UT faculty, staff, and students with support from ITS. Otherwise, you can sign up for a free account on the Zoom website.