Louiqa Raschid
image circa 1987 or
circa 1998.
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Current Position: I am a professor in Decision and Information Technology (DIT)
in the Smith School of Business. I also hold appointments in
UMIACS,
the Department of Computer Science and
the Center for Bioinformatics and Computational Biology.
I am a co-Director of the
CLIP Lab and I am a member of the
Database Group at Maryland.
Academic Degrees:
Bachelor of Technology in Electrical Engineering,
Indian Institute of Technology Madras, 1980;
Ph.D. in Electrical Engineering, University of Florida, 1987
Research Interests:
I have a diversity of research interests focused around issues of
information (data and knowledge) management, semantics and data integration,
and performance.
I investigate applications in the life sciences,
health information systems, humanitarian IT applications
and Grid computing.
My research utilizes a variety of methodologies and reference sub-areas
such as optimization, large scale simulation using trace data,
semantics and logic based reasoning,
and data analysis techniques.
1 page biosketch
Email: louiqa at umiacs dot umd dot edu
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2008 ACM Distinguished Scientist
Swiss Institute of Bioinformatics
DILS 2008 Best paper award .
Exploiting Ontology Structure and Patterns of Annotation to Mine
Significant Associations between Pairs of Controlled Vocabulary Terms,
Woei-Jyh Lee, Louiqa Raschid, Hassan Sayyadi and Padmini Srinivasan.
We have submitted the
BIPASS: BIP Alternative Splice Server
to the
2007 Web server compilation by Nucleic Acids Research.
New course BMGT 828 R Computational Challenges of Web 2.0 and Beyond for BMGT Ph.D. Students.
(less) New course
CMSC 828 U
Fall 2006 on Exploiting Biological Resources: Design, Analysis and Integration
Sahana:
An
article on the
Sahana FOSS project for disaster management which received the Free Software Foundation's
2006 Award for Projects of Social Benefit.
The 2005 award was won by the Wikipedia FOSS project.
In the news: An article in Smith Business on life science data management.
Wide area data delivery:
Understanding the behavior of applications in a wide-area environment.
Develop methodology to facilitate resource monitoring and effective
data delivery.
Exploit models of updates at servers, user
profiles, and wide area latency distributions to develop
push-pull and other adaptive data delivery techniques.
Data Management for the Life Sciences:
Develop tools for scientists
to integrate data across highly interconnected life science sources.
Challenges include query planning and optimization,
exploring search spaces in large graphs, ranking query results, workflow,
and link data management.
Health science data management and Patient Health Records.
Humanitarian IT:
Humanitarian IT solutions including F/OSS disaster management
solutions, disaster data management and data integration in complex
information spaces.
Grid data management:
Resource monitoring; scalable optimization;
auction based mechanisms for resource allocation.
Publishing and locating sources based on quality and content metadata
using the WWW and XML.
Semantic query optimization for object and object-relational databases;
Fixpoint and declarative semantics for rule-based programs and
updates in database systems.
A (near) complete list of my publications is available on Michael
Ley's DBLP site .
My research has been funded by the NSF and DARPA and has been
published in high quality journals and conferences
including ACM SIGMOD, VLDB, AAAI, IEEE ICDE,
ACM TODS, IEEE TKDE, IEEE ToC, the Journal of Logic Programming,
and the Journal of Parallel and Distributed Computing.
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