BACS Application Process – Spring 2023

[January 10th, 2023]

The application process for the BACS for the Class of 2026 is now open.  



Applications are due by Friday, March 10th, 2023 at 10 PM EST.  Questions may be directed to the BACS Program Director at    

Student Recruiting – AY23-24

[October 10, 2022] Looking ahead to the AY23-24 (academic year) recruiting cycle, our research group is aiming to recruit one or possibly two Ph. D students in the areas of wireless network measurement and wearables. Subject to funding, we may also have some work in network security, particularly blended 4G / 5G / WiFi. We do not envision having funding for post-docs for this coming year (CY23) and are unlikely to have post-doc funding for the next cycle (AY23-24).

In particular, we envision efforts on the following projects or offshoots of these efforts:

Short video: Platforms such as TikTok, Facebook Watch, Instagram Reels and others present fascinating challenges when it comes to QoE. Unlike traditional QoE, short video browsing is tempered by unique circumstances including QoE spanning multiple videos, varying periods of video watching (full or partial viewing), and highly dynamic network performance. We are interested in studying the underlying tradeoffs associated with how best to pre-stage, adapt quality, and handle various dynamics in such scenarios.

Network performance: One of the major thrusts of our research group over the past few years has been to study how to better measure the network through intentional, structured packet trains injected at the server to elicit a rapid, improved understanding of network performance characteristics. Newly emerging networks such as 5G, WiFi 6E, CBRS, and mmWave introduce intriguing new challenges for measurement.

Wearables and pervasive computing: The new capabilities of wearable devices continue to advance offering increased lifetime, sensing capabilities, and unobtrusive form factors. Our research group is interested on how COTS or COTS wearables plus enhancements can be better leveraged to bring robust quantitative measurement to previously unexplored aspects of human physiological and overarching social interactions.

If you might be interested in joining our research group, we encourage you to apply to join the graduate program at the University of Notre Dame. Depending on your area of interest, you might also want to check out the research groups of Spyros Mastorakis (networking – joining ND in January 2023), Toby Li (human computing interface / mobile apps), and Taeho Jung (security).

Many thanks to Lucy Li for the Twitter recommendation to post this to help new graduate students.

Paper Accepted at MMSys 2022

[May 12th, 2022] Our paper entitled “Swipe Along: A Measurement Study of Short Video Services” was accepted into MMSys 2022 that will be held in Ireland in June 2022. The paper focuses on the performance of various short video services and in particular how those services pre-load content to help improve interactivity. Great work by my student Shangyue and many thanks to our collaborators at AT&T Labs.

S. Zhu, T. Karagioules, E. Halepovic, A. Mohammed, A. Striegel, “Swipe Along: A Measurement Study of Short Video Services” to appear in MMSys 2022.

Office Hours – Spring 2021

[February 1st, 2021] Office hours for the spring semester have been updated and can be found down below the fold.

Scheduled Office Hours

Tuesday: 2-3 PM
Wednesday: 2-4 PM
Friday: 12-1 PM

Help sessions for CSE 30341 and BACS application preparation are available on Wednesday and Thursday evenings from 7-9 PM. If you would like to join the help session, please let me know by 5 PM such that I make sure to have the virtual Zoom room ready to go / am monitoring for joins.

All office hours are virtual via the following Zoom link. As it is admit-based, please nudge me via e-mail if you are waiting too long. Note that only people with a valid ND NetID can join unless arranged in advance.

Paper Accepted – Passive WiFi

[December 3, 2020] Our journalized version of the paper on leveraging passive WiFi characteristics for determining the available bandwidth was recently accepted to appear in the IEEE Internet of Things journal.

Very cool paper that leverages the spacing of plaintext block acknowledgements (ACKs) for the purpose of inferring the utilization on a given wireless link. In the paper, we show not only the feasibility of leveraging block ACKs for inferring bandwidth but we also demonstrate that such an approach would be viable during the normal WiFi scanning process (e.g. detecting block ACKs during a WiFi scanning sweep looking for nearby APs) is enough time to reasonably infer the available bandwidth.

Publication Updates

[January 13th, 2020] The publication pages should be receiving some much deserved attention over the next few weeks.  While I had intended to do some nice categorization, in the interest of timeliness, I am switching over to a much simpler list-based format.  Perhaps if I can find some time and do some cleverness with a consolidated BibTeX file, there might some updates in the summer but for now, everything should finally get posted in the next week or two.