Archives—April 2017



2017 ICC Achievement Awards Presented at ICC Annual Retreat

ICC Annual Retreat was held on April 21. Co-Director Dan Fuhrmann presented ICC Achievement Awards to two researchers for their outstanding research and honorable contributions to the ICC in 2017. Zhuo Feng from the Center for Scalable Architectures and Systems (SAS) and Shane Mueller from the Center for Human-Centered Computing (HCC) were this year’s recipients.

Shane Mueller is Associate Professor in the Department of Cognitive and Learning Sciences with an expertise in Cognitive and Computational Modeling. He has recently been awardedDARPA’s Explainable AI (XAI) Grant to develop naturalistic theories of explanation with AI systems and to develop a computational cognitive model of explanatory reasoning.  In addition to this effort, he has served as Co-PI of  several proposals in collaboration with other HCC members from the KIP, CS, and Math departments. He has continuously published his works in top journals and conferences, such as IEEE and Cognitive Modeling Communities and organized several conferences. Another significant achievement is developing PEBL: The Free Psychology Experiment Building Language for HCI and Psychology Researchers, which is widely used across the world. Zhuo Feng is Associate Professor in the Department of Electrical and Computer Engineering. Zhuo has received funding as the sole PI on three National Science Foundation (NSF) grants since 2014 with a total of $1.1 million. He received a Faculty Early Career Development (CAREER) Award from NSF in 2014, a Best Paper Award from ACM/IEEE Design Automation Conference (DAC) in 2013, and two Best Paper AwardNominations from IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2006 and 2008. His publications include 16 journal papers (14 IEEE/ACM Transactions) and 34 ACM/IEEE conference papers.


Zhaohui Wang Wins NSF CAREER Award

Zhaohui Wang

Zhaohui Wang (CPS) is the recipient of an NSF CAREER Award for her research in underwater communication networks. Wang plans to improve underwater acoustics networks to maximize information delivery. ICC Co-Director, Dan Fuhrmann commented, “Her research activity is quite remarkable. In this proposal, Wang describes an ambitious plan to bring state-of-the-art tools in signal processing and machine learning to the difficult problem of underwater acoustic communication.” Read more about Wang’s research in the Michigan Tech News.