Carlee Joe-Wong is an assistant professor in Electrical and Computer Engineering at Carnegie Mellon University Silicon Valley. She received her Ph.D. from Princeton University's program in Applied and Computational Mathematics (2016). She is primarily interested in incentives and resource allocation for computer and information networks, including work on smart data pricing and fair resource allocation. From 2013-2014, Carlee was the director of Advanced Research at DataMi, a startup she co-founded based on her data pricing research. She received the INFORMS ISS Design Science Award in 2014, the Best Paper Award at IEEE INFOCOM 2012, and was a National Defense Science and Engineering Graduate fellow (NDSEG) from 2011-2013.
2016 Ph.D., Applied and Computational Mathematics, Princeton University
2013 MA, Applied and Computational Mathematics, Princeton University
2011 BA, Mathematics, Princeton University
Second round of Secure and Private IoT Initiative funded projects announced
Carnegie Mellon CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has announced its second round of funding, which will support ten IoT-related projects for one year.
Joe-Wong develops framework to optimize burstable instances
ECE/CMU-SV’s Carlee Joe-Wong helped develop a theoretical framework that allows cloud providers to price burstable instances for maximum revenue. This will also result in cheaper and more efficient payments for users. Joe-Wong and her collaborators wrote a paper on the topic, which was presented at INFOCOM 2019.
Buffering, burstables, and better websites
By taking a closer look at burstable instances, Carlee Joe-Wong works to make website performances—and the revenues of the people who run them—the best they can be.
Pricing and processing data far from the cloud
IoT devices are coming online, and Carlee Joe-Wong wonders how we might put prices on them.
Pricing and processing data far from the Cloud: Carlee Joe-Wong on the economics of the IoT
The Internet of Things (IoT), mobile networks, and edge devices have become integral to daily life. Plenty of devices have enough computing power to process large amounts of data far from a centralized entity like the cloud. Computing this way offers faster networks and smart buildings.
Optimizing the 21st century radio network
CMU-SV Professor Carlee Joe-Wong is interested in how to create networks that can stand up to high volumes of traffic.