Chunyi Peng

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).

Active Research

  • Evolving Mobile Network Security

  • Diagnostic Testing of Next-Generation Radio Access Network (CNS-2403048)

  • AirLab: Towards fully autonomous drones in our daily life

  • MI-LAB: Harnessing network data to spur operational mobile network research (a follow-up of our prior project MobileInsight)

  • Robots4U: Personal Robots For YOU

Past Research

  • AIM: Amplify Intelligence in Mobile Networked Systems (CNS-1750953)–> Network configuration at AI-EDGE.

    • Tutorial on AIM, MobileInsight and beyond

    • 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.

  • Assessing the Impact on Operational Mobile Networks in the Face of COVID-19 Public Health Crisis (CNS-2027650)

Acknowledgement

I gratefully acknowledge ongoing and past research support from NSF and AT&T, as well as past gifts from Adobe, Qualcomm and Amateur Radio Digital Communications (ARDC).