I am a second year assistant professor of computer science here at Franklin and Marshall. I regularly teach:
- CPS 111 "Introduction To Computational Thinking"
- CPS 242 "Computer Organization"
- CPS 370 "Operating Systems"
- CPS 379 "Mobile Application Development"
My research focus is in digital privacy and security on mobile devices. Recently, I've been interested in security and privacy in the new Internet of Things (IoT) paradigm. If you're a student interested in doing research with me it is highly recommended that you take some classes of mine, especially CPS 379.
Schedule (SP 2018)
Office Hours Tue / Thu 10:00 -11:30am Office Stager 231
CPS 111 (sec A) Mon/Wed 8:30am - 9:50pm CPS 111 Lab Fri 1:30 - 4:30pm
If you would like to meet with me outside of these times to get help with class, ask about research, or just to talk about computer science in general, please stop by my office anytime! You can also always email me so we can set up a specific time to meet!
Hao Han, Shanhe Yi, Qun Li, Shen Guobin, Yunxin Liu, and Ed Novak AMIL: Localizing Neighboring Mobile Devices Through A Simple Gesture. In the Proceedings of IEEE INFOCOM, 2016. (Acceptance rate: 18%)
Daniel Graham, Gang Zhou, Ed Novak, and Jeffery Buffkin A Smartphone Compatible SONAR Ranging Attachment for 2D Mapping. In the Proceedings of IEEE IOT Journal, vol. 2, no. 6, 2015.
Ed Novak, Yutao Tang, Zijiang Hao, Yifan Zhang, and Qun Li Physical Media Covert Channels on Smart Mobile Devices. In the Proceedings of ACM UBICOMP, 2015. (Acceptance rate: 23%) Won "Honorable Mention for Best Paper" Award at Ubicomp (Acceptance Rate: 5%).
Ed Novak and Qun Li Near-Pri: Private, Proximity Based Location Sharing. In the Proceedings of IEEE INFOCOM, 2014. (Acceptance rate: 19%)
Xiaojun Zhu and Fengyuan Xu and Novak, E. and Tan, C.C. and Qun Li and Guihai Chen Extracting Secret Key from Wireless Link Dynamics in Vehicular Environments. In Proceedings of IEEE INFOCOM, 2013. (Acceptance rate: 17%)
Ed Novak and Qun Li Security and Privacy in Online Social Networks - A Survey. Technical Report: WM-CS-2012-2, 2012.
My research currently focuses on software updates on the Google Play app store. I wrote an app to help study other apps! It records information about when applications on your device are installed, uninstalled, or updated. Please install it to help us gather data and contribute to this research project!
The research is focused on application updates issues such as:
- Which apps users update more quickly.
- The rate of app update adoption through the play store.
- Predicting the time of the next app update.
- Security and vulnerability concerns of rapid updates. If you are interested please feel free to ask questions!
App update information is sent to F&M but it is stored under a fake name. When you install this app you will be contributing to ongoing academic research. This application is free and open source software distributed under the GPL v3.0 software license. https://github.com/fmresearchnovak/updatetimingcollector