As Palestras Internacionais do SBBD 2018 acontecerão no domingo, 26 de Agosto.
SBBD 2018 International Invited Talks will take place August 26.

14:00 – 16:00 :: Sunday, Aug 26
International Invited Talks
Talk Participants:
Anastasia Ailamaki (École Polytechnique Fédérale de Lausanne)
Alin Deutsch (University of California, San Diego)
Dennis Shasha (New York University)

Participants Bio:
Anastasia Ailamaki is a Professor of Computer Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. Her research interests are in database systems and applications, and in particular: a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating database management to support computationally-demanding and demanding data-intensive scientific applications. She has received an ERC Consolidator grant (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), seven best-paper awards at top conferences (2001-2011), and an NSF CAREER award (2002). She earned her Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is a member of IEEE and ACM, and has also been a CRA-W mentor. She also serves at the Global Agenda Council for Data, Society and Development of the World Economic Forum.

Alin Deutsch is professor of Computer Science and Engineering at the University of California at San Diego (UCSD) and member of the UCSD Database Lab.His interests include: prdata publishing and integration, specification and verification of database-powered business processes and semistructured and XML data. His research iscurrently sponsored by the NSF. He has been part of the Program Committee of many important conferences such as SIGMOD, PODS, VLDB, SBBD, ICDT, and ICDE.

Dennis Shasha works on quite a few different projects. Most have to do with large data and pattern matching or machine learning. Areas of interest include computational biology and biomedicine (data analysis, visualization, experimental design), time series (fast algorithms for fundamental problems such as correlation and burst detection as well as applications like query by humming), and pattern matching in trees and graphs. Beginning in 2013, he has been intrigued by the problems and opportunities in millimeter wireless under the auspices of NYU Wireless. This has included projects having to do with making magnetic resonance image reconstruction faster (with contributions from students Zhuoheng Yang, Henry de Kergorlay, Felix Moody, Julien Rabinow, Pei Wang) and core topics like channel modeling (with George Wang) and databases for propagation measurements (with Juan Felipe Beltran and George Wang). A general pattern? He likes puzzles. A second general pattern is that he programs a lot in a fast, extremely expressive language called K and its successor languages like q. A third pattern is that he works with excellent people — undergraduates, master’s students, doctoral students, post-docs, other profs, and non-academics.