My current research interests are in the broad areas of mobile networking, system and security, with a recent focus on renovating 5G access technologies, AI for networks, 5G/IoT security, mobile edge computing (mainly for autonomous drones, vehicles and robots).
To students at Purdue: There are openings to Research and/or Development in my lab, through independent studies (undergrad, MS and PhD) and thesis options (MS and PhD). There are several ongoing projects in AI and security which are calling for your participation. I would like you to have a quick look at my active research and recent publications first. If you want to know more, please email me (drop by is not recommended).
04/2024 Datasets collected for all our 5G measurement studies have been released through ONE HUB at Github. All raw data traces have been collected through experiments over MI-LAB.
This is a brief summary of high-level position talk to the public. It has basic idea, approaches and main results, by skipping all technical details of each research problem under this umbrella project: (pps), (PDF).
This is a tutorial of L2/L1 latency analysis enabled by MobileInsight. It was originally used for Hackathon, co-located at ACM SIGCOMM on Aug 25, 2018, and then was reorganized and substantially enhanced for public distribution (step-by-step learning and practice). The used codes and sample logs can be found
here. You can find the codes developed by the hackathon team (Quentin, Maryam, Syed and Ensar) at github.
This is an 3-hr tutorial on GlobeCom’17 on Dec 8, 2017.
It introduces how to step-by-step verify mobile network operations on your phones via MobileInsight. Here is the tutorial slide (pdf) (ppsx). For more up-to-date information, please check our MobileInsight website.