Two of Prof. Al Bovik’s research publications have been recognized as 2017 Google Scholar Classic Papers. Google Scholar Classic Papers are highly-cited papers that have stood the test of time, and are among the ten most-cited articles in their area of research published ten years earlier.
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