Items of Interest:
Teaching
Previous semesters
CMSC 671: Principles of Artificial Intelligence, Sections
01 and 02
CMSC 341: Data Structures, Section
03
-
341 Spring
2013 Course website
-
Section specific
website
CMSC 341: Data Structures, Sections
01 and 04
-
341 Fall 2012
Course website
-
Section
specific website
CMSC 341: Data Structures, Section
4
-
341 Spring
2012 Course website
-
Section specific
website
CMSC 475/675: Introduction to Neural Network Computing,
Section 0101
CMSC 671: Principles of Artificial Intelligence,
Section 0101
CMSC 341: Data Structures,
Section 1465
CMSC 341: Data Structures,
Section 201
Current
Students
Recent Students
- Yichuan Gui
(co-directed with Prof James T Lo, Prof. Konstantinos Kalpakis
replaced me as co-adviser after my retirement in Jan 2015), Convexification and Deconvexification for Training Artificial Neural
Networks, April 2016.
- Yunsu
Lee, Automatic Service Search
& Composability Analysis in Large Scale Service Networks,
November 2015.
- Yan Kang, A Semantic Resolution
Framework for Integrating Manufacturing Capability Data, April
2015.
- Jaewook
Kim (PhD), dissertation: A Semantic Analysis of XML Schema Matching for B2B
Systems Integration, May, 2011.
- Yan Kang (MS), thesis: Extensible Dynamic Form for Supplier Discovery,
May 2011.
- Shenyong
Zhang (PhD student jointly with University of Science and Technology of
China), dissertation (in Chinese): Uncertain
Reasoning in Bayesian Networks, May, 2010.
- Yi Sun (MS), scholarly paper: A Prototype Implementation of BayesOWL, June, 2009.
- Tom Briggs (Ph.D), dissertation: Constraint
Generation and Reasoning in OWL, November, 2008.
- Rong
Pan, (PhD), dissertation: Semantically-Linked
Bayesian Networks: A Framework for Probabilistic Inference Over Multiple
Bayesian Networks, August, 2006.
- Yang Yu, (MS), thesis: Learning the Semantic Meaning of a Concept
from the Web, August, 2006.
- Zhongli Ding, (PhD),
dissertation: BayesOWL: A Probabilistic Framework for
Uncertainty in Semantic Web, December 2005.
Research:
Probabilistic Reasoning; Machine Learning; Neural Networks; Intelligent
Agents and Multi-Agent Systems; Semantic Web; E-Commerce; Artificial Life.
-
BayesOWL
Contact Information:
Email: [email protected]
Tel: (410) 455-3816
Fax: (410) 455-3969
Office: Room 341, Information Technology and Engineering (ITE) Building
Snail Mail:
Department of
Computer Science and Electrical Engineering
University of Maryland Baltimore County
1000 Hilltop Circle
Baltimore, Maryland 21250
Last Modified: December 19, 2009.