Title：Anomaly Detection in Medical Wireless Body Area Network
Speaker：Associate Prof. Osman SALEM(Paris Descartes University, France)
Host：Prof. Yuejin Hui
Time：July 27th,2015 (Monday) 10:00-12:00 AM
Location：New Research Building Room 610
Abstract：
The use of Wireless Body Area Networks for remote and continuous healthcare monitoring allows significant advances to provide early detection of diseases, fast intervention, accurate diagnosis and better medical services for patients. Anomaly detection mechanisms investigate data from WBAN and process physiological information to pinpoint abnormal measurements associated with medical emergency and faulty measurements. Our latest innovative findings of new data processing and classification techniques to learn, analyze, detect and improve the interpretation of detected anomaly with lightweight computingand blended learning will be presented. This talk will also address several medical applications, such as Myocardial Infarction (or heart attack) and epileptic seizure detection during the night where the patients are isolated and alone.
Associate Prof. Osman SALEM Bio：
Osman SALEM is associate professor of Network Security in Paris Descartes University, Paris, France. He holds Ph.D. in Ad Hoc networks and a Master Degree in networking and telecommunications from Paul Sabatier University, Toulouse, France, in 2002 and 2006, respectively. Between 2006 and 2008, he was a researcher in the Department of Computer Science at Telecom Bretagne, Brest, France. He conducted rigorous and innovative research on Network Security and Intrusion Detection in ANR OSCAR project. Since September 2008, he has been an Associate Professor at University of Paris Descartes, Paris, France. His research activities focus on early detection of healthcare emergency in data from medical wireless sensor networks.
SKL-NST
July 24th,2015
