Welcome to the EPD Lab!
This is the temporary online home of the Event and Pattern Detection Laboratory (EPD Lab) at Carnegie Mellon University's Heinz College. Our new web page will be coming soon!
Current lab members:
Daniel B. Neill (Associate
Professor of Information Systems, Heinz College, CMU)
Rishi Chandy (Ph.D. student, Machine Learning Department, CMU)
Seth Flaxman (Ph.D. student, Joint
Ph.D. in Machine Learning and Public Policy, Heinz College and School of Computer Science, CMU)
Edward McFowland III
(Ph.D. student, Heinz College, CMU)
Kenton Murray (M.S. student,
Language Technologies Institute, CMU)
Sriram Somanchi (Ph.D. student, Heinz College, CMU)
Skyler Speakman (Ph.D. student, Heinz College, CMU)
Xin Wu (M.S. student, Very Large Information Systems, CMU)
Yating Zhang (MISM student, Heinz College, CMU)
Tarun Kumar (M.S., Very Large Information Systems, CMU)
Yandong Liu (M.S., Language
Rajas Lonkar (M.S., Information Systems Management, CMU)
Amrut Nagasunder (M.S., Very Large Information Systems, CMU)
Kan Shao (Ph.D.,
Engineering and Public Policy, and M.S., Machine Learning, CMU)
Huanian Zheng (M.S., Information Technology, CMU)
NSF IIS-0953330, CAREER: Machine Learning and Event Detection for the
Public Good (summary) (NSF
page) (project page).
NSF IIS-0916345, Fast Subset Scan for Anomalous Pattern Detection (summary) (NSF
page) (project page).
NSF IIS-0911032, Discovering Complex Anomalous Patterns (summary) (NSF
Some Recent Publications:
Daniel B. Neill, Edward McFowland III, and Huanian Zheng. Fast subset
scan for multivariate event detection. Statistics in Medicine,
in press, 2012. Article published online: 22 NOV 2012, DOI:
Daniel B. Neill. Fast subset scan for spatial pattern detection.
Journal of the Royal Statistical Society (Series B: Statistical
Methodology) 74(2): 337-360, 2012. (pdf)
Daniel B. Neill. New directions in artificial intelligence for public health
surveillance. IEEE Intelligent Systems 27(1): 56-59, 2012. (pdf)
Kan Shao, Yandong Liu, and Daniel B. Neill. A generalized fast subset
sums framework for Bayesian event detection. Proceedings of the 11th
IEEE International Conference on Data Mining, 617-625, 2011. (pdf)
Daniel B. Neill and Gregory F. Cooper. A multivariate Bayesian scan
statistic for early event detection and characterization. Machine
Learning 79: 261-282, 2010. (pdf)
Lab News and Awards:
- Daniel was named the recipient of the H.J. Heinz III College Dean's Career Development Professorship, November 15th, 2012. Thanks to the College for this great honor and to the Heinz Endowments for their support of this endowed chair!
- Congratulations Ed on his admission to the secondary M.S. program in Machine Learning.
- Ed was the 2012 winner of the Suresh Konda Award, presented yearly to
Heinz College's best First Heinz Research Paper.
- Skyler was the 2012 winner of Heinz College's award for Best Teaching Assistant.
- Daniel served as Scientific Program Chair of the International Society for Disease Surveillance Annual Conference, held in Atlanta, Georgia in December 2011. The conference was a great success, with with 321 registered participants, 96 contributed talks, 65 posters, and 10 invited talks.
- Ed was awarded an NSF Graduate Research Fellowship
(link) and an AT&T Labs Research
Fellowship, 2011. (link)
- Daniel was named one of the top ten "artificial intelligence researchers to watch"
by IEEE Intelligent Systems, Jan/Feb 2011. (link)
- Daniel received the National Science Foundation CAREER award for his work on "Machine Learning and Event Detection for the Public Good", July 2010.
The Event and Pattern Detection Laboratory gratefully acknowledges
support from the National Science Foundation, grants IIS-0916345,
IIS-0911032, and IIS-0953330, as well as a UPMC Healthcare Technology
Innovation Grant (Neill), AT&T Labs Fellowship (McFowland), and NSF
Graduate Research Fellowship GRFP-0946825 (McFowland). Any opinions, findings,
and conclusions or recommendations expressed in this material are those
of the author(s) and do not necessarily reflect the views of the
National Science Foundation or UPMC.
Back to Daniel's home page
Contact e-mail: Daniel Neill, neill (at) cs (dot) cmu (dot) edu
Last update: July 31, 2012