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GII Doctoral School on Advances in
Databases - 2009 |
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University of Calabria, Rende & Hotel S.
Michele, Cetraro – Italy September 7-18, 2009 |
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Pictures Organizing Committee Sponsors |
Lecturers Elisa Bertino (Purdue University, USA) Data
privacy and security Elisa Bertino is
professor of Computer Science at Purdue University and serves as Research
Director of the Center for Education and Research in Information Assurance
and Security (CERIAS). Previously she was a faculty member at Department of
Computer Science and Communication of the University of Milan where she
directed the DB&SEC laboratory. She has been a visiting researcher at the
IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics
and Computer Technology Corporation, at Rutgers University, at Telcordia
Technologies. Her main research interests include security, privacy, digital
identity management systems, database systems, distributed systems,
multimedia systems. In those areas, Prof. Bertino has published more than 300
papers in all major refereed journals, and in proceedings of international
conferences and symposia. She is a co-author of the books
"Object-Oriented Database Systems - Concepts and Architectures"
1993 (Addison-Wesley International Publ.), "Indexing Techniques for
Advanced Database Systems" 1997 (Kluwer Academic Publishers),
"Intelligent Database Systems" 2001 (Addison-Wesley International
Publ.), and "Security for Web Services and Service Oriented
Architectures" Springer (to appear in Summer 2008). She has been a
co-editor in chief of the Very Large Database Systems (VLDB) Journal from 2001
to 2007. She serves (has served) on the editorial boards of several
scientific journals, incuding IEEE Internet Computing, IEEE
Security&Privacy, ACM Transactions on Information and System Security,
ACM Transactions on Web, Acta Informatica, the Parallel and Distributed
Database Journal. She has served as Program Committee members of several
international conferences, such as ACM SIGMOD, VLDB, ACM OOPSLA, as Program
Co-Chair of the 1998 IEEE International Conference on Data Engineering
(ICDE), as program chair of 2000 European Conference on Object-Oriented
Programming (ECOOP 2000), of the 7th ACM Symposium of Access
Control Models and Technologies (SACMAT 2002), of the EDBT 2004 Conference,
and the IEEE Policy 2007 Workshop. Elisa Bertino is a Fellow member of
IEEE and a Fellow member of ACM. She
received the 2002 IEEE Computer Society Technical Achievement Award for
"For outstanding contributions to database systems and database security
and advanced data management systems" and the 2005 IEEE Computer Society
Tsutomu Kanai Award "For pioneering and innovative research
contributions to secure distributed systems". George
Karypis (University of Minnesota, USA) Knowledge
discovery in databases George Karypis is
a Professor in the Department of Computer Science and Engineering at the
University of Minnesota. He received a B.S. and a Ph.D. in Computer Science
from the University of Minnesota. Karypis’s current research interests span
the areas of data mining, bio-informatics, parallel processing, CAD, and
scientific computing. His research in data mining is focused on developing
innovative new algorithms for a variety of data mining problems including
clustering, classification, pattern discovery, and deviation detection, with
an emphasis on business applications and information retrieval. His research
in bio-informatics is focused on developing algorithms for understanding the
function of genes and proteins in different species using data arising from
genome-wide expression profiles. In this work, I'm trying to use data mining
techniques to analyze expression profiles of genes and find groups of genes
that behave similarly, and determine the underlying genetic regulatory
network. His research in parallel processing is focused on developing
scalable parallel algorithms for emerging applications and architectures.
This includes research on data intensive applications, scientific computing,
architectures with deep memory hierarchies, and architectures with
heterogeneous interconnection networks. His recent research has led to the
development of a number of highly efficient and scalable software packages
and algorithms such as METIS (a serial sparse graph partitioning software),
ParMETIS (an MPI-based parallel graph partitioning software), hMETIS (a
circuit partitioning software), PSPASES (a parallel direct solver), and
CHAMELEON (a spatial clustering algorithm). Phokion
G. Kolaitis (University of California - Santa Cruz and IBM Research -
Almaden, USA) Relational
databases, logic, and complexity Phokion Kolaitis
is a Professor of Computer Science at UC Santa Cruz and a Research Staff
Member of the Computer Science Principles and Methodologies Department
(a.k.a. the Theory Group) at the IBM
Almaden Research Center. From July 1997 to June 2001, he served as Chair of
the Computer Science Department at UC Santa Cruz. From June 2004 to September
2008, he served as Senior Manager of the Computer Science Principles and
Methodologies Department at the IBM Almaden Research Center (and while on
leave of absence from UC Santa Cruz). His research interests include
principles of database systems, logic in computer science, and computational
complexity. Kolaitis is a Fellow of the Association for Computing Machinery
(ACM), a Foreign Member of the Finnish Academy of Science and Letters, and
the recipient of a 1993 Guggenheim Fellowship. He is also the recipient of an
IBM Research Division Outstanding Innovation Award, an IBM Research Division
Outstanding Technical Achievement Award, and a co-winner of the 2008 ACM PODS
Alberto O. Mendelzon Test-of-Time Award. Maurizio Lenzerini
(Sapienza University of Rome, Italy) Data
exchange and integration Maurizio Lenzerini
is a Professor of Computer Science at the Sapienza Universitŕ di Roma. His research interests include data management,
knowledge representation and reasoning, information integration, and
service-oriented computing. He is the author of more than 250 publications in
international conferences and journals, and has been invited speaker in many
conferences. He is a member of the editorial boards of several international
journals, including Information Systems, and IEEE Transactions of Knowledge
and Data Engineering. He organized several international conferences and
workshops, and was the Program Chair of various international conferences,
including the 9th International Conference on Database Theory (2003), and the
27th ACM Symposium of Principles of Database Systems (2008). Lenzerini is a
Fellow of the European Coordinating Committee for Artificial Intelligence
(ECCAI), and the recipient of an IBM Faculty Award. Frank
Neven (Hasselt University, Belgium) Foundations
of XML Frank Neven
completed his PhD in 1999 at Limburgs Universitair Centrum and is a professor
at the UHasselt since 2001. His main research interests are centered around
the foundation of XML, in particular, its interconnections with logic and
formal languages. He has over 60 papers published in top database conferences
and journals. He served on the programme committee of many major database and
theory conferences and is a member of the editorial board of the journal
Theory of Computing Systems. V.S.
Subrahmanian (University of Maryland, USA) Uncertain
and probabilistic databases V.S. Subrahmanian
is a Professor in the Department of Computer Science and Director of the
Institute for Advanced Computer Studies (UMIACS) at the University of
Maryland. He received the NSF National Young Investigator Award in 1993 and
the Distinguished Young Scientist Award from the Maryland Science Center/Maryland
Academy of Science in 1997. His primary area of research is in databases and
artificial intelligence. His work in AI spans rule-based expert systems and
logic programs, nonmonotonic reasoning, probabilistic reasoning, temporal
reasoning, hybrid reasoning, and software agents. His work in databases
focuses on heterogeneous database integration and interoperability, logic
databases, probabilistic databases, and multimedia databases. In the last few
years, he has been studying how to reason about massive collections of
multilingual document collections and mine them for sentiment/opinion
information as well as how to mine ontologies directly from text. He has been
applying his work to the study of foreign cultures and terrorist groups with
a view to automatically extracting data about a group’s organization and
activities and mining this information in order to build stochastic
behavioral models of the group which, in turn, can be used to come up with
forecasts of future behavior of the group. His group has built several
scalable systems for these and other purposes which have been applied
extensively in government and industrial applications. Carlo Zaniolo (University of California – Los Angeles, USA) Stream
databases Carlo Zaniolo is professor of Computer Science at UCLA, where he
occupies the N.E. Friedmann Chair in Knowledge Science. Before joining UCLA
in 1991, Dr. Zaniolo was a researcher at AT&T Bell Laboratories, and
associate director of the Advanced Computer Technology Program of MCC, a U.S.
research consortium in Austin, Texas. At MCC, Carlo was the technical leader
and manager of the LDL++ project, a prominent research endeavor on deductive
database systems. Carlo Zaniolo received a ‘Laurea’ in electrical engineering
from Padua University, Italy, in 1969, and a Ph.D. in computer science from
UCLA in 1976. Carlo has been a prolific authors and served as (program) chair
(co-chair) of major conferences in the areas of data bases, logic programming
and data mining. His recent research interests include data stream management
systems, data mining, data base evolution and historical Information Systems. |
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