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. 

Dr. Wasserman was elected “for contributions to the development of novel sources, detectors, and optical materials operating in the mid-infrared wavelength range.”

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.

The proposed research effort will "advance the state-of-the-art in collaborative sensing systems which are expected to benefit the field and society more broadly, through planned efforts in education innovation, achieving diversity, engaging the community and industry, and disseminating results to a wider public."

Prof. Seth Bank is involved in two new multi-university million dollar multi-disciplinary projects from the National Science Foundation aimed at fostering collaboration in quantum information and computation research. 

 This is the second consecutive year to be awarded the honor for both professors.

The IEEE Kiyo Tomiyasu Award was established in 2001 to recognize "outstanding contributions to technologies holding the promise of innovative applications."

Work was presented from participants in three programs: Research Experiences for Undergraduates (REU), Research Experiences for Teachers (RET), and the CISTAR Young Scholars Program.

 Prof. Bovik was selected  "for seminal contributions and high-impact innovations to the theory and application of perception-based image and video processing."

The Grand Finals showcases winners from each of the ACM special interest groups (SIGs) in competition and included more than 381 student participants.