Ed Novak is a an assistant professor of computer science here at Franklin and Marshall College. He regularly teaches core computer science courses in addition to Mobile Application Developement and Operating Systems.
Classes Fall 2019
CPS 112 - Computational Thinking with Data Structures and Algorithms
CPS 370 - Operating Systems
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.
Ed Novak, and Chris Marchini, Android App Update Timing: A Measurement Study, The 2019 International Workshop on Mobile Ubiquitous Systems and Technologies (MUST 2019).
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