Spring 2009 seminars are Wednesday 4:00-5:00 p.m. See schedule for location.
Join the DSI seminar series mailing list to receive announcements of upcoming talks.
| Date | Speaker | Title | Location |
| February 4 | Ying Ding (bio), Indiana University | Semantic Music Retrieval (abstract, slides) | LH 101 |
| February 11 | Bin Cao (bio), Indiana University | Provenance Collection in the Life Science Grid (abstract) | LH 101 |
| February 18 | Student session: Andrew Kalafut (bio), Ruj Akavipat (bio) | Andrew: Pollution Resilience for DNS Resolvers (abstract), Ruj: Distrust Reputation System For P2P Information Retrieval (abstract) | LH 101 |
| February 25 | Student job talk: Ben Markines (bio) | Socially Induced Semantic Networks and Applications (abstract) | LH 101 |
| March 4 | Student session: Mark Meiss (bio), Alaa Abi-Haidar (bio) | Mark: What's in a session: Tracking individual behavior on the Web (abstract), Alaa: An Adaptive Document Classifier Inspired by T-cell Cross-regulation in the Immune System (abstract) | LH 101 |
| March 11 | Douglas Thain (bio), University of Notre Dame | Programming Large Distributed Systems with High Level Abstractions (abstract) | LH 101 |
| March 25 | Luis M. Rocha (bio), Indiana University | BIBLIOME INFORMATICS IN COMPUTATIONAL BIOLOGY (abstract) | LH 101 |
| April 1 | Tom Evans (bio), Indiana University | Integration of Social and Environmental Data using Geographic Information Systems and Remote Sensing Techniques (abstract, slides) | LH 101 |
| April 8 | Katy Borner (bio), Indiana University | Towards a Science of Science Cyberinfrastructure (abstract, slides) | LH 101 |
| April 9, Thursday 4:00PM-5:00PM | Craig Mattocks (bio), University of North Carolina | Transformation of LEAD to a Persistent Community Facility – Recent Enhancements and Future Capabilities (abstract) | LH 101 |
| April 22 | Kate Keahey (bio), Argonne National Laboratory | Cloud Computing with Nimbus (abstract, slides) | LH 101 |
| April 29 | Student session: Matthew Whitehead (bio) | Intelligent Construction of Ensemble Machine Learning Algorithms (abstract) | LH 101 |