Dr. Lei Liu is currently a Senior Research Scientist at HP Labs, USA, leading the architecture design and development of data mining systems in multiple projects. He received his Ph.D. degree in Computer Science and Engineering at Michigan State University. His research interests cover multiple aspects of large scale data mining and machine learning, including large multi-class classification, zero-day malware detection, recommendation system, data driven education and data mining with wearable devices. Lei has published over 20 referred articles in top conferences, including ICDE, SDM, INFOCOM, WWW, CIKM, RecSys, ASONAM, etc. He was invited to serve as program committee for international conferences in data mining and machine learning, such as WWW, CIKM, ECMLPKDD, ASONAM, etc. He is an inventor of more than 25 granted or applied US patents.
Dr. Pang-Ning Tan is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University. He received his M.S degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His research interests span a broad range of data mining problems, from pattern discovery (association analysis, anomaly detection, and cluster analysis) to predictive modeling. He has published in more than 100 peer-reviewed papers in journals and conferences and also served as program chairs for international conferences in data mining. His research has been supported by the National Institutes of Health, National Science Foundation, Office of Naval Research, Army Research Office, National Aeronautics and Space Administration, and National Oceanic and Atmospheric Administration.
Dr. Steven J. Simske is an HP Fellow and Director of the Secure Workflow Technologies Lab in HP Labs, where he oversees the development of document ecosystem and security solutions, brand protection, education, print production, 3D printing, life sciences and other printing research. Earlier at HP Labs, Simske worked on medical signal processing for portable medicine, including novel means of reducing biological noise in electrocardiograms (ECGs). He has been engaging in digital printing and imaging research at HP and HP Labs for more than 20 years. He is a Fellow in the Society for Imaging Science & Technology (IS&T). He represents HP on the World Economic Forum Global Agenda Councils on Illicit Economy and the Future of Electronics, and is an author on more than 400 publications and more than 130 granted US patents. He recently authored the book “Meta-Algorithmics” (Wiley & Sons, 2013), and is the Chair of the Advisory Board for the Colorado State University Biomedical Engineering program.
Dr. Mi Zhang is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan State University (MSU). He received his Ph.D. in Computer Engineering from the Ming Hsieh Department of Electrical Engineering at University of Southern California and his B.S. in Electrical Engineering from Peking University. Before joining MSU, he was a postdoctoral associate in the Department of Information Science at Cornell University. His research interests and efforts span the areas of ubiquitous computing, wearable and mobile sensing systems, and human-centered computing. He is particularly interested in developing human-centered sensing and computational technologies with a special focus on health care and well-being. This fits well with a fascinating research field called Mobile Health (mHealth), which aims to revolutionize current health care system and realize the vision of patient-centric personalized health care. He has published more than 30 peer-reviewed conference papers and journal articles.
- Zubin Abraham (Bosch Research, USA)
- Noel Carroll (Applied Research for Connected Health Technology Center, Ireland)
- Paul Duffy (Belfast Health and Social Care Trust, USA)
- Paul Ellingstad (PTI Advisors, USA)
- Huiji Gao (LinkedIn, USA)
- Hassan Ghasemzadeh (Washington State University, USA)
- Zitao Liu (University of Pittsburgh, USA)
- Xi Liu (Michigan State University, USA)
- Joanne O'Doherty (HP Enterprise, USA)
- Jiliang Tang (Yahoo Labs, USA)
- Edison Thomaz (University of Texas at Austin, USA)
- May D. Wang (Georgia Institute of Technology, USA)
- Xufei Wang (LinkedIn, USA)
- Jinfeng Yi (IBM Thomas J. Watson Research Center, USA)
- De-Chuan Zhan (Nanjing University, China)