Together with collaborators at the University of California, Riverside they have been awarded a $1M grant to study application of machine learning techniques for performance and power prediction in early design stages of future computer systems. 

Texas ECE alumna Jette Henderson, who completed her PhD in August, received the Best Student Paper award for the paper "PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization" at the KDD MLMH Workshop on Machine Learning for Healthcare in London in August. Jette worked under the supervision of Texas ECE professor Joydeep Ghosh. The paper uses a special kind of tensor factorization that is guided by supporting evidence from PubMed, a huge repository of medical literature, to extract meaningful insights from electronic health records.

Prof. Edison Thomaz of Texas ECE has received a Google Faculty Research Award for his proposed research work on "Identifying Acoustic Biomarkers of Mental Health and Well-Being in Voice-Based Interactions with Conversational Assistants in the Home".