| Research Interests
Data
mining and machine learning: theory,
algorithms, &
applications,
Bioinformatics: functional genomics,
chemical genomics, &
systems
biology.
My research
interest
is to develop and apply data mining and machine learning algorithms to
accelerate
knowledge discovery in science and engineering disciplines including medicine. Our current
focus is to map out biomolecule interactions at whole genome level and
to identify the
connections between biomolecule interactions
and clinic endpoints such as disease diagnostics and personalized medicine development. In our investigation we rely on high
throughput experimental data. These data include
protein sequences and structures, chemical structures, gene
expression profiles, protein-ligand interactions, biological pathways,
and disease phenotypes. The
applications of our work could be found in Immunology, Neurology, and
Drug design, such as:
- Elucidating the molecular mechanism of protein
function, including enzymatic functions and protein-ligand interactions
- Fold recognition of protein sequences, especially
pathological genes
- Leads identification and optimization in drug virtual
screening
- Identifying modular structures in biological pathways
- Understanding gene regulation mechanism
Though the problem set
is
diverse, the common threads of our
work are geometric and probabilistic representations of biomolecules
and their interactions,
optimal pattern search in high or infinite dimensional spaces, and
learning
generative and discriminative models with regularization. Much of our work
addresses two core problems in data mining: pattern search in high
dimensional spaces and mining structured data.
Publications
Recent Publications
Teaching
Graduate courses:
EECS 800 Pattern Discovery from Data (Spring
2008)
EECS 730 Introduction
to Bioinformatics (Fall
2007, Fall
2008)
EECS 800
Mining
Biological Data (Fall 2006)
Undergraduate courses:
EECS
647 Introduction
to Database Systems (Spring 2007,
Spring 2008)
EECS 560 Data Structures (Fall 2008)
Professional Services
- Program
Committee Member, the 25th
IEEE International Conference on Data Engineering (ICDE'09),
Shanghai, China,
April, 2009.
- Program
Committee Member, the 7th International
Conference on
Machine Learning and Applications (ICMLA'08), San Diego,
California, USA, December, 2008.
- Special
Session Chair, Machine
Learning and Data Mining Methods in
Bioinformatics, in conjunction with the 7th International
Conference on
Machine Learning and Applications (ICMLA'08), San Diego,
California, USA, December, 2008.
- Award
Committee Co-Chair, the IEEE
International Conference on BioInformation
and BioMedicine (BIBM'08),
Philadelphia, PA, USA, November, 2008.
- Program
Committee Member, the 8th
IEEE International Conference on Bioinformatics and BioEngineering
(BIBE'08), Athens, Greece, October, 2008.
- Program Committee
Member, the 8th
International Workshop on Data Mining in Bioinformatics (BIOKDD'08)
in Conjunction with the 14th
ACM
SIGKDD, August 24, Las Vegas, NV, 2008.
- Program
Committee Member, the 2nd
IADIS
European Conference on Data Mining, Amsterdam, The
Netherlands, July, 2008.
- Program
Committee Member, the SIAM International
Conference on Data Mining (SDM'08), Atlanta, George, April, 2008.
- Program
Committee Member, the
International
Workshop on Intelligent Informatics in Biology and Medicine (IIMB),
in Conjunction with
the International Conference on Complex, Intelligent and Software
Intensive Systems, Barcelona, Spain, March 2008.
I am co-organizing the 2nd
International Workshop on Data and Text Mining in Bioinformatics in
Conjunction with the 17th ACM
Conference on Information and Knowledge Management, Napa
Valley, California, 2008. If you are interested, please
follow the URL
to submit your
high-quality research
finding for peer-reviewing publication.
Bioinformatics Tea
is a weekly event in EECS @ KU for people to discuss the latest
progresses in Bioinformatics research. Please feel free to stop by if
you wan to participate in the discussion.
Past Services
Current
Students
Fei,
Hongliang
|
Ph.D.
Student, CS |
Jia,
Yi
|
Ph.D.
Candidate, CS |
Quanz,
Brian
|
Ph.D.
Student,
CS
|
Smalter, Aaron
|
Ph.D. Student, CS
|
Zhang,
Jingtao
|
Ph.D.
Student, Bioinformatics
Program
|
Burh,
Vince
|
M.S.
Student, CS |
Kim,
Jaehyun
|
M.S.
Student, Bioengineering Program |
Wang,
Xiaohong
|
M.S.
Student, CS
|
Alumni
Seak
Lei,
Fei
|
M.S.
Student, CS, 2008
|
Peddi,
Abhinav
|
M.S.
Student, CS, 2008 |
Available
positions
Short
Bio
Dr. Luke
Huan has been an
assistant
professor
in the Electrical Engineering and Computer Science department at the
University
of Kansas since 2006. He received his Ph.D. in Computer Science from
the
University of North Carolina at Chapel Hill in 2006. Before joining KU,
he worked
at Argonne National Laboratory (with Ross Overbeek), GlaxoSmithKline Inc. (with Nicolas Guex), and Nortel
Networks. His
research interests include Data Mining, Machine Learning, and Bioinformatics. He is a
recipient
of the Scholar of Tomorrow Fellowship and the Alumni Fellowship from
the
University of North Carolina at Chapel Hill.
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