报告题目:Mining Twitter Data for Drug Effects
报告人: Keyuan Jiang,Professor of Computer Information Technology,Purdue University Calumet,U.S.A
时间: 2013年6月7日(周五)上午10:00
地点: 实验15楼207

  报告人简介:

  Keyuan Jiang, Ph.D., Professor of Computer Information Technology, Purdue University Calumet, U.S.A., holds B.Eng. in Computer from Southeast University, Master’s degree in Biomedical Engineering from Shanghai JiaoTong University, and Ph.D. in Biomedical Engineering from Vanderbilt University, U.S.A. As a senior member of the IEEE Computer Society (CS) and the IEEE Engineering in Medicine and Biology Society (EMBS), Dr. Jiang has been actively involved in applying information technology to biomedicine. His research expands from bioinformatics, mining healthcare social media, and clinical research and healthcare information technology. Dr. Jiang has published in high-profile publications such as Bioinformatics, IEEE Transactions on Information Technology in Biomedicine, Computer Science Lecture Notes, Computers in Biology and Medicine, and Computer Methods and Programs in Biomedicine. Dr. Jiang has served as Associate Editor of the IEEE Transactions on Information Technology in Biomedicine, and on Committees of the IEEE-EMBS International Conference on Biomedical and Health Informatics, the i-Society Conferences, and the International Conference on Networking and Distributed Computing.