[April 24, 2018] Congrats to Lixing Song on getting his paper entitled “SEWS: A Channel-Aware Stall-Free WiFi Video Streaming Mechanism” accepted to appear at NOSSDAV 2018 in Amsterdam in June.
[April 15, 2018] I am happy to announce that I will be serving on the inaugural editorial board for the soon to be launched IEEE Networking Letters. Many thanks to George (EiC) and Christos (Associate EiC) for the invite.
[April 19, 2018] I had the privilege of serving on a panel on Machine Learning in Networking at INFOCOM 2018. The panel was exceptionally well attended (pictures soon). One key outcome is that we will be putting together a survey paper on machine learning in networking as a basic overview. Fantastic panel and great audience questions.
[February 28th, 2018] A very nice piece by Jess Arnold from ABC57 on the security of Amazon Alexa and other always-on devices entitled “Privacy and security: asking Amazon Alexa if your data is secure“.
[February 14, 2018] Quick summary of the various press pieces related to Tesserae. The links are also available via the Publications / Media page here as well as on the Publications page for the Tesserae project page.
[February 12, 2018] The press release for Project Tesserae has now been posted to the main ND News Feed. Many thanks / kudos to my colleagues for helping to make this happen including Gloria Mark, Munmun DeChoudhury, Sidney D’Mello, Andrew Campbell, Nitesh Chawla, Anind Dey, Kaifeng Jiang, Pino Audia, and Qiang Liu.
[January 29, 2018] Nice article in Fierce Wireless on the work by the team on the RadioHound project. Kudos to Bert for leading a great effort!
[January 8th, 2018] Office hours for the spring semester are set to be Monday at 1 PM, Wednesday at 11 AM, and Friday at 3 PM.
[September 7, 2017] Under the direction of ND CSE Profs. Aaron Striegel (PI), Nitesh Chawla (co-PI), and Dong Wang (Senior Personnel), the University of Notre Dame has been awarded a $7.9M contract from the Intelligence Advanced Research Projects Agency (IARPA). The research will involve advances in data fusion from wearables, smartphones, and social media to better understand performance in cognitively demanding workplaces. The work will involve instrumenting 750 working professionals over an entire year to create a landmark dataset for studying the myriad of factors that impact workplace performance.