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.
Understanding, engineering, and interfacing with biological systems are among mankind's most important challenges, impacting numerous fields from basic science to health. Motivated by this larger vision, bioECE track is focused on the intersection of electrical and computer engineering with biology and medicine. It includes biomedical instrumentation, biophotonics, health informatics, bioinformatics, neural engineering, computational neuroscience, and synthetic biology. Associated faculty have expertise in diverse topics: cardiovascular instrumentation, neuroscience, neural engineering and the machine-brain interface, image and signal processing (feature extraction and diagnostic interpretation), health information technologies (data mining, electronic medical records analysis), VLSI biomedical circuits (biosensing, lab-on-a-chip), algorithms for large-scale genomic analysis, and molecular programming (engineering molecules that compute).
• Biomedical devices and instrumentation: John Pearce, Jon Valvano, Nan Sun, Zhen Wang, Adela Ben-Yakar [Mech Eng]
• Biomedical informatics (data mining, outcome prediction) / health information technologies (data collection and analysis): Joydeep Ghosh, Edison Thomaz, Haris Vikalo, Ahmed Tewfik, Alan Bovik, Sriram Vishwanath, Mia Markey [Biomed Eng], Adela Ben-Yakar [Mech Eng]
• Bioinformatics: Haris Vikalo, Joydeep Ghosh, Sriram Vishwanath
• Medical Imaging: Ahmed Tewfik, Alan Bovik
• Neural information processing: Ahmed Tewfik, Ila Fiete [Neuroscience], Thibaud Taillefumier [Neuroscience + Mathematics], Ngoc Tran [Mathematics], Adela Ben-Yakar [Optical processing]
• Molecular information processing: Andy Ellington [CSSB], David Soloveichik