报告题目:BIG DATA BRIDGE
报 告 人: Justin Zhijun Zhan, 展智军
University of Nevada, Las Vegas
University of Nevada, Las Vegas
时 间: 2017年12月27日(星期三) 上午9:30
地 点:第2教学楼南524室
讲座内容:
Data has become the central driving force to new discoveries in science, informed governance, insight into society, and economic growth in the 21st century. Abundant data is a direct result of innovations including the Internet, faster computer processors, cheap storage, the proliferation of sensors, etc, and has the potential to increase business productivity and enable scientific discovery. However, while data is abundant and everywhere, people do not have a fundamental understanding of data. Traditional approaches to decision making under uncertainty are not adequate to deal with massive amounts of data, especially when such data is dynamically changing or becomes available over time. These challenges require novel techniques in data analytics, data-driven optimization, systems modeling and data mining. In this seminar, a number of recent funded data analytics projects will be presented to address various data analytics, mining, modeling and optimization challenges. In particular, the DataBridge, which is a novel data analytics system, will be illustrated.
欢迎老师和同学踊跃参加


主讲人 Justin Zhijun Zhan, 展智军教授简介
展智军,男,博士、教授、博士生导师。2006获得加拿大渥太华大学计算机科学系博士学位。2006-2009年在美国卡内基梅隆大学任教,2010-2014年任教于美国北卡农机大学并担任交叉学科研究所主任,2015年起任教于美国内华达大学拉斯维加斯分校,现任美国内华达大学拉斯维加斯分校计算机科学系教授,美国内华达个性化医学研究所教授,美国内华达大学拉斯维加斯分校医学院教授,博士生导师,大数据研究所主任。展教授研究领域包括大数据科学,信息安全,网络科学,和个性化医学,在相关国际期刊和国际学术会议上发表论文210余篇,研究成果在国际上赢得了同行的良好声誉与广泛关注。先后主持完成美国国家科学研究项目(NSF),美国国防部(DOD),美国国家卫生研究院(NIH)等40项国家科研基金项目,研究经费总额超过6千万美元。
Bio: Dr. Justin Zhan is the planning director of Big Data Institute at University of Nevada, Las Vegas. He is a Professor at the Department of Computer Science, College of Engineering, Department of Radiology, School of Medicine, as well as Nevada Institute of Personalized Medicine. He has been a faculty member at North Carolina A&T State University and Carnegie Mellon University. His research interests include Big Data, Information Assurance, Social Computing, Biomedical Computing and Health Informatics. He has been a steeringchair of IEEE International Conference on Social Computing (SocialCom), IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT), IEEE/ASE International Conference on Big Data, and IEEE International Conference on Biomedical Computing. He has served as a conference general chair, a program chair, a publicity chair, a workshop chair, or a program committee member for 180international conferences and an editor-in-chief, an editor, an associate editor, a guest editor, an editorial advisory board member, or an editorialboard member for 30 journals. He has published about 210 articles in peer-reviewed journals and conferences and delivered 30 keynote speeches and invited talks. His research has been extensively funded (US$60M)by National Science Foundation, Department of Defense, National Institute of Health, etc.