Wei Wang, a professor of pc science and the holder of the Leonard Kleinrock Time period Chair on the UCLA Samueli College of Engineering, has been chosen as a fellow by the Institute of Electrical and Electronics Engineers for her contributions to information mining.
The excellence is conferred yearly by the IEEE Board of Administrators to people with extraordinary accomplishments within the development of science, expertise and engineering.
Wang is the director of the Scalable Analytics Institute, which focuses on synthetic intelligence and information science. Along with information mining, her analysis pursuits embody machine studying, computational biology and bioinformatics. She holds a joint college appointment within the Computational Drugs Division, which is affiliated with each the David Geffen College of Drugs and UCLA Samueli. She can also be a member of the Institute for Quantitative and Computational Biology, the Jonsson Complete Most cancers Middle and the Bioinformatics Interdepartmental Graduate Program.
A graduate of UCLA the place she acquired a Ph.D. in pc science, Wang is main a crew of researchers from UCLA and UC Irvine to develop a complete, early-warning system to foretell the emergence and unfold of future pandemics. A fellow of the Affiliation for Computing Equipment, she serves because the chair of the manager committee for the affiliation’s Particular Curiosity Group on Data Discovery and Data Mining. She can also be a member of a main chemistry analysis middle, headquartered at Notre Dame College, which goals to harness machine studying to assist remedy issues in well being care, supplies science and vitality analysis.
Wang has acquired a CAREER Award from the Nationwide Science Basis and an Okawa Basis Analysis Award.