Doctor of Philosophy with HONORS, Electrical Engineering (Advisor: Costas Tsatsoulis)

(with emphasis in Artificial Intelligence and Image Processing)

University of Kansas, Lawrence, KS May 1998

Master of Science, Electrical Engineering (Advisor: Costas Tsatsoulis)

University of Kansas, Lawrence, KS May 1993

Bachelor of Science with HIGHEST DISTINCTION, Electrical Engineering

University of Kansas, Lawrence, KS May 1991

APPOINTMENTS

Assistant Professor

Department of Computer Science and Engineering

University of Nebraska, Lincoln, NE Aug 2001 – present

Harold and Esther Edgerton Assistant Professor

University of Nebraska, Lincoln, NE Aug 2003 – Jul 2005

Gallup Research Professor

University of Nebraska, Lincoln, NE Jan 2005 – Jun 2005

Director, National Center for Information Technology in Education

University of Nebraska, Lincoln, NE Aug 2005 – present

Post-Doctoral Research Associate

Information Technology and Telecommunications Center

University of Kansas, Lawrence, KS August 2000 – July 2001

Post-Doctoral Research Assistant

Information Technology and Telecommunications Center

University of Kansas, Lawrence, KS August 1998 – July 2000

HONORS & AWARDS

1 Best Paper Award, International Conference on Computers in Education (ICCE’2005)

2 College of Arts and Sciences Distinguished Teaching Award (2006), University Of Nebraska

3 One of three finalists for UNL Student Organization New Advisor of the Year (2006)

4 CSE Chair Special Award (2004), University Of Nebraska

5 CSE Student Choice Outstanding Teaching Award (Lower Division Courses) (2004), University Of Nebraska

6 Harold and Esther Edgerton Junior Faculty Award (2003-2005), University Of Nebraska

7 AcademicKeys Who’s Who in Sciences Higher Education (WWSHE) (2004)

8 Who’s Who in Engineering Education (WWEE) (2002)

9 Marquis Who’s Who in America (56^th Edition, 2001)

10 Spring 1991 Electrical and Computer Engineering Award, University of Kansas.

11 Spring 1991 Electrical and Computer Engineering Student Marshal, University of Kansas.

12 Spring 1990 Undergraduate Research Award, College Honors Program, University of Kansas.

RESEARCH PROFILE

A. RESEARCH INTERESTS

Artificial Intelligence

Multiagent systems, intelligent agents, machine learning, data mining, knowledge-based systems, case-based reasoning

Image Processing and Computer Vision

Image segmentation, image enhancement, image classification, image representation, feature extraction, edge description and detection, texture discrimination, remote sensing

Computer Science Education

Computer-assisted instruction, intelligent education tools, instructional technology, learning objects, discrete mathematics, CS1/2

B. RESEARCH GRANTS

B.1. External

1 Co-Principal Investigator on NSF IIS grant, “Building Knowledge Discovery and Information Fusion Tools for Collaborative Systems to Adaptively Manage Uncertain Hydrological Resources”, $552,710 (1^st year: $450,000), 08/01/06-07/31/09, contract number IIS-0618661. (PI: Samal)

2 Principal Investigator on Microsoft Research Conference XP Wireless Grant, “CXP+I-MINDS: Deployment and Evaluation over Wireless Networks”, $88,460 (1^st year: $60,000), 04/01/06-04/01/07, unrestricted gift.

3 Principal Investigator on Microsoft Research Conference XP grant, “Supporting and Enhancing Cooperative Learning with ConferenceXP-powered I-MINDS”, $50,000, 04/01/05-04/01/06, unrestricted gift. (Co-PI: Jiang)

4 Principal Investigator (initially Co-Principal Investigator) on NSF SGER grant, “Affinity Learning Authoring Tools,” for $98,427, 04/01/05-04/01/06, contract number ESI-0513405. (Original PI: Zygielbaum)

5 Co-Investigator on NSF SBIR grant, “I-MINDS: Intelligent Multiagent Infrastructure for Distributed Systems in Education,” for $99,611, 01/01/05-06/31/05, contract number DMI-0441249. (PI: Jiang)

6 Co-Principal Investigator on a grant “Intelligent Joint Evolution of Data and Information: An Integrated Framework for Drought Monitoring and Mitigation Support” from the NSF ITR program, for $199,995, period of performance 01/01/03 – 12/31-04, contract number ITRF#IIS00219970. (PI: Samal)

a. Also received an NSF REU grant, for $8,000, 07/15/03-12/31/03.

7 Principal Investigator on a subcontract grant “Negotiation-Based Coalition Formation for Multiagent Target Tracking” from the DARPA ANTS project, subcontracted from the University of Kansas, for $55,000, period of performance 8/16/01-10/15/02, contract number 26-0511-0026-001.

8 Co-Investigator on a grant "Generating a Rule-Base for Sea-Ice Classification" from the Naval Research Laboratory, for $95,000, period of performance 8/16/98-8/15/00, NRL contract number N00014-95-C-6038. (PI: Tsatsoulis)

B.2. Internal

1 Co-Principal Investigator, Layman Grant, “SCID: A Semantic Cyberinfrastructure to Support Investigation and Discovery in Science, Engineering and the Humanities”, $10,000, period of performance 10/06-10/07 (PI: Scott)

2 Co-Principal Investigator on a Channing B. and Katherine W. Baker Fund #3524 Grant, “Delineation of Differentiated Management Areas within an Agricultural Field”, University of Nebraska, $36,000, period of performance 08/06-07/09. (Co-PI: Adamchuk)

3 Co-Investigator on a Cyberinfrastructure Research Development Grant, “Federating Distributed Databases: Integrating Biodiversity and Bioinformatics”, University of Nebraska, $20,000, period of performance 05/06-05/07. (PI: Scott)

4 Principal Investigator, Gallup Research Professorship, “Towards an Intelligent Self-Administered Survey Agent (ISASA): Supporting, Customizing, and Learning about Online Surveys,” $20,000, period of performance, 01/01/05-06/30/05.

5 Co-Principal Investigator on a Nebraska Research Cluster grant, “The High Plains Observatory for Integrated Phenology: Predicting The Behavior and Life Cycles of Introduced and Native Plants, Insects, and Plant Diseases on the Landscape,” $32,000, period of performance, 07/01/04-06/30/06. (PI: Baenziger)

6 Principal Investigator on a Enhancing Teaching and Learning at UNL Seed Grant Program “Delivering and Improving Learning Objects with Agent Intelligence,” University of Nebraska, $5,000, period of performance 05/04-05/05.

7 Co-Principal Investigator on a grant “Technology Enhanced Reading Instruction”, $25,000, Research Cluster, University of Nebraska, period of performance, 07/01/03-06/30/04. (PI: Brooks)

8 Principal Investigator on a Layman Fund Awards “Imagery Collaborative, Hierarchical Ontology for Indexing and Retrieval (I-CHOIR),” $9,871, University of Nebraska, period of performance 07/01/03-06/30/04.

9 Co-Principal Investigator on a grant “On-Line System for Judging Programming Competitions”, Math and Science Education Area of Strength of College of Liberal Arts and Sciences, University of Nebraska, $5,000, period of performance 06/01/02-08/31/02. (Co-PI: Cusack)

10 Co-Principal Investigator on a grant “I-MINDS: Intelligent Multiagent Infrastructure for Distributed Systems in Education,” National Center for Information Technology in Education (NCITE) Seed Grant Program, $36,900, period of performance 07/01/02-08/31/03. (Co-PI: Jiang, Swanson, Harnisch)

C. PUBLICATIONS

C.1. Theses

1 L.-K. Soh (1993). A Multistage Feature Extraction Technique for Synthetic Aperture Radar (SAR) Sea Ice Imagery, M.S. E.E. Thesis, Electrical and Computer Engineering Department, University of Kansas, Lawrence, KS.

2 L.-K. Soh (1998). Automated Image Segmentation: A Data Investigation Model and SAR Sea Ice Applications, Ph.D. E.E. Dissertation, Electrical Engineering and Computer Science Department, University of Kansas, Lawrence, KS.

C.2. Book Chapters

1 L.-K. Soh and H. Jiang (2005). Intelligent Multiagent Cooperative Learning System, in C. Ghaoui (ed.) (2005) Encyclopedia of Human Computer Interaction, 18-23, London, UK: Idea Group Reference.

2 L.-K. Soh (2005). Agent-Supported Interface for Online Tutoring, in C. Ghaoui (ed.) (2005) Encyclopedia of Human Computer Interaction, 348-354, London, UK: Idea Group Reference.

3 L.-K. Soh, T. Blank, and L.D. Miller (2005). Intelligent Agents that Learn to Deliver Online Materials to Students Better: Agent Design, Simulation and Assumptions, in C. Chaoui, M. Jain, V. Bannore, and L. C. Jain (eds.) Studies in Fuzziness and Soft Computing: Knowledge-Based Virtual Education, Chapter 3, Volume 178, May 2005, pp. 49-80.

4 X. Zhang, L.-K. Soh, H. Jiang, and X. Liu (2005). Using Multiagent Intelligence to Support Synchronous and Asynchronous Learning, in C. Chaoui, M. Jain, V. Bannore, and L. C. Jain (eds.) Studies in Fuzziness and Soft Computing: Knowledge-Based Virtual Education, Chapter 5, Volume 178, May 2005, pp. 111-140.

5 A. Samal, G. Nugent, L.-K. Soh, J. Lang, and S. Person (2005). Reinventing Computer Science Curriculum at University of Nebraska, in PytlikZillig, M. Bodvarsson, and R. Bruning (Eds.) Technology-Based Education: Bringing Researchers and Practitioners Together, Chapter 4, pp. 63-82, Information Age Publishing.

6 L.-K. Soh, X. Zhang, X. Liu, and H. Jiang (2005). Intelligent Collaborating Agents to Support Teaching and Learning, in PytlikZillig, M. Bodvarsson, and R. Bruning (Eds.) Technology-Based Education: Bringing Researchers and Practitioners Together, Chapter 10, pp. 203-224, Information Age Publishing.

7 L.-K. Soh and J. Luo (2004). Cautious Cooperative Learning for Automated Reasoning in a Multiagent System, Frontiers in Artificial Intelligence and Applications, pp. 183-199, IOS Press. (Extended version of a workshop paper)

8 L.-K. Soh, X. Liu, X. Zhang, J. Al-Jaroodi, H. Jiang, P. Vermuri (2004). I-MINDS: An Agent-Oriented Information System for Applications in Education, Lecture Notes in Artificial Intelligence (LNAI 3030) Series Agent-Oriented Information Systems, Springer-Verlag, pp.16-31. (Extended version of a workshop paper)

9 L.-K. Soh, C. Tsatsoulis, and H. Sevay (2003). A Satisficing, Learning, and Negotiated Coalition Formation Architecture, in Distributed Sensor Networks: A Multiagent Perspective, V. Lesser, M. Tambe and C. Ortiz (eds.), Kluwer Publishing, Chapter 7, pp.109-138.

10 C. Tsatsoulis and L.-K. Soh (2000). Intelligent Agents in Telecommunication Networks, in Computational Intelligence in Telecommunications Networks, W. Pedrycz and A. V. Vasilakos (eds.), CRC Press, Chapter 19, pp. 480-504.

11 L.-K. Soh, C. Tsatsoulis, and B. Holt (1998). Identifying Ice Floes and Computing Ice Floe Distributions in SAR Images, in Recent Advances in the Analysis of SAR Sea Ice Data, C. Tsatsoulis and R. Kwok (eds.), Berlin: Springer-Verlag, pp. 9-34.

C.3. Journal Publications

1 L.-K. Soh, N. Khandaker, and H. Jiang (2007). I-MINDS: A Multiagent System for Intelligent Computer-Supported Cooperative Learning and Classroom Management, submitted to Int. Journal of Artificial Intelligence in Education. Accepted with minor revisions (May 2007)

2 L.-K. Soh and T. Blank (2007). Integrating Case-Based Reasoning and Multistrategy Learning for a Self-Improving Intelligent Tutoring System, accepted to International Journal of Artificial Intelligence in Education.

3 H. Wu, L.-K. Soh, A. Samal, and X. Chen (2007). Trend Analysis of Streamflow Drought Events in Nebraska, accepted to Water Resources Management.

4 L. Fu, L.-K. Soh, and A. Samal (2007). Techniques for Computing Fitness of Use (FoU) for Time Series Datasets with Applications in the Geospatial Domain, accepted to Geoinformatica. (October 2006)

5 L.-K. Soh, A. Samal, and G. Nugent (2007). An Integrated Framework for Improved Computer Science Education: Strategies, Implementations, and Results, Computer Science Education, 17(1):59-83.

6 V. L. Almstrum, P. B. Henderon, V. Harvey, C. Heeren, W. Marion, C. Riedesel, L.-K. Soh, and A. E. Tew (2006). Concept Inventories in Computer Science for the Topic Discrete Mathematics, SIGCSE Bulletin, 38(4):132-145. ITiCSE’2006 Working Group reports.

7 G. Nugent, L.-K. Soh, and A. Samal (2006). Design, Development and Validation of Learning Objects, Journal of Educational Technology Systems, 34(3):271-281.

8 L.-K. Soh, A. Samal, and J. Zhang (2006). A Task-Based Approach to User Interface Design for a Web-Based Hydrologic Information System, Transactions on GIS, 10(3):417-449.

9 G. Nugent, L.-K. Soh, A. Samal, and J. Lang (2006). A Placement Test for Computer Science: Design, Implementation, and Analysis, Computer Science Education, 16(1):19-36.

10 J. Lang , G. Nugent, A. Samal, and L.-K. Soh (2006). Implementing CS1 with Embedded Instructional Research Design in Laboratories, IEEE Transactions on Education, 49(1):157-165.

11 Soh, L.-K., G. Nugent, and A. Samal (2005). A Framework for CS1 Closed Laboratories, Journal of Educational Resources in Computing, 5(4):1-13.

12 X. Li and L.-K. Soh (2005) Hybrid Negotiation for Resource Coordination in Multiagent Systems, Web Agents and Intelligent Systems, 3(4):231-259.

13 L.-K. Soh and C. Tsatsoulis (2005). A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation, Journal of Autonomous Agents and Multi-Agent Systems, 11:215-271.

14 L.-K. Soh, C. Tsatsoulis, D. Gineris, and C. Bertoia (2004). ARKTOS: An Intelligent System for Satellite Sea Ice Images, IEEE Transactions on Geoscience and Remote Sensing, 42(1):229-248. (Paper referenced by The Bibliography on Cold Regions Science and Technology, currently compiled by the American Geological Institute, at http://www.coldregions.org/cralert.htm#C_C_N390)

15 L.-K. Soh (2003). A Multiresolution, Dynamic and Adaptive Image Quantization Methodology: Automation and Analysis, Journal of Electronic Imaging, 12(2):229-243.

16 L.-K. Soh and C. Tsatsoulis (2002). ARKTOS: A Knowledge Engineering Software Tool for Images, International Journal of Human-Computer Studies, 57(6):469-496.

17 L.-K. Soh and C. Tsatsoulis (2000). Separating Touching Objects in Remote Sensing Imagery: The Restricted Growing Concept and Implementations, IEEE Transactions on Image Processing, Vol. 9, No. 2, pp. 312-315.

18 L.-K. Soh and C. Tsatsoulis (1999). Unsupervised Segmentation of ERS and RADARSAT Sea Ice Images Using Multiresolution Peak Detection and Aggregated Population Equalization, International Journal of Remote Sensing, Vol. 20, No.15&16, pp. 3087-3109.

19 L.-K. Soh and C. Tsatsoulis (1999). Segmentation for Satellite Imagery of Natural Scenes Using Data Mining, IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, pp. 1086-1099.

20 L.-K. Soh and C. Tsatsoulis (1999). Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-occurrence Matrices, IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, pp. 780-795.

21 Haverkamp, D., L.-K. Soh, and C. Tsatsoulis (1995). A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 1, pp. 46-57.

C.4. Reviewed Conference Publications[1]

1 L. D. Miller, A. Eck, L.-K. Soh, and H. Jiang (2007). Statistics and Analysis Tools for a Computer-Supported Collaborative Learning System, to appear in Frontiers in Education (FIE’2007), October 10-13, Milwaukee, Wisconsin.

2 A. Eck, L.-K. Soh, H. Jiang, and T. Chou (2007). Wireless Performance in Educational Environments, to appear in Frontiers in Education (FIE’2007), October 10-13, Milwaukee, Wisconsin.

3 L.-K. Soh (2007). Integrated Introspective Case-Based Learning for Intelligent Tutoring Systems, accepted to the 22^nd AAAI Conference on Artificial Intelligence (AAAI’07), July 22-26, Vancouver, British Columbia, Canada. (acceptance rate: 253 out of 921, 27%)

4 L.-K. Soh and N. Khandaker (2007). Forming and Scaffolding Human Coalitions with a Multiagent Framework, accepted to the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2007), Hawaii. (Poster: 133 out of 412: 32%)

5 N. Khandaker, L.-K. Soh, and H. Jiang (2006). Student Learning and Team Formation in a Structured CSCL Environment, in Proceedings of the International Conference on Computers in Education (ICCE), Beijing, China, November 30-December 4, pp. 185-192. (acceptance rate: 17%)

6 L.-K. Soh (2006). Implementing the Jigsaw Model in CS1 Closed Labs, in Proceedings of the 11^th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE’2006), Bologna, Italy, June 26-28, pp. 162-167. (acceptance rate: 30%).

7 L.-K. Soh, N. Khandaker, and H. Jiang (2006). Multiagent Coalition Formation for Computer-Supported Cooperative Learning, in Proceedings of the Innovative Applications of Artificial Intelligence (IAAI’2006), July 17-20, Boston, MA, pp. 1844-1851.

8 L.-K. Soh, N. Khandaker, X. Liu, and H. Jiang (2006). A Computer-Supported Cooperative Learning System with Multiagent Intelligence, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2006), May 8-12, Hakodate, Japan, pp. 1556-1563.

9 L.-K. Soh and H. Jiang (2006). Commercializing a Multiagent-Supported Collaborative System, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2006), May 8-12, Hakodate, Japan, pp. 1522-1529.

10 L.-K. Soh (2006). Incorporating an Intelligent Tutoring System into CS1, in Proceedings of the 37th SIGCSE Technical Symposium on Computer Science Education (SIGCSE’2005), Houston, TX, March 1-5, pp. 505-509. (acceptance rate: 35%)

11 L.-K. Soh, N. Khandaker, X. Liu, and H. Jiang (2005). Computer-Supported Structured Cooperative Learning, in Proceedings of International Conference on Computers in Education (ICCE’2005), November 28 – December 2, Singapore, 428-435. (acceptance rate: 28%)

12 L.-K. Soh and L. D. Miller (2005). Analyzing Student Motivation and Self-Efficacy in Using an Intelligent Tutoring System, in Proceedings of International Conference on Computers in Education (ICCE’2005), November 28 – December 2, Singapore, 896-899. (acceptance rate: 35%)

13 L.-K. Soh and T. Blank (2005). An Intelligent Agent that Learns How to Tutor Students: Design and Results, in Proceedings of International Conference on Computers in Education (ICCE’2005), November 28 – December 2, Singapore, 420-427. Best Paper Award. (acceptance rate: 28%)

14 X. Zhang, L.-K. Soh, X. Liu, and H. Jiang (2005). Intelligent Collaborating Agents to Support Teaching and Learning, in Proceedings of the International Electro-Information Technology Conference (EIT’2005), May 22-25, Lincoln, NE.

15 G. Yu, L.-K. Soh, and A. Bond (2005). K-Means Clustering with Multiresolution Peak Detection, in Proceedings of the International Electro-Information Technology Conference (EIT’2005), May 22-25, Lincoln, NE.

16 J. Kite and L.-K. Soh (2005). An Online Survey Framework Using the Life Events Calendar, in Proceedings of the International Electro-Information Technology Conference (EIT’2005), May 22-25, Lincoln, NE.

17 L.-K. Soh, T. Blank, L. D. Miller, and S. Person (2005). ILMDA: An Intelligent Learning Materials Delivery Agent and Simulation, in Proceedings of the International Electro-Information Technology Conference (EIT’2005), May 22-25, Lincoln, NE.

18 L. Fu, L.-K. Soh, and A. Samal (2005). Computing Quality of Data for Data Fusion Applications, in Proceedings of the 8^th International Conference on GeoComputation (GeoComputation’2005), August 1-3, Ann Arbor, MI.

19 J. Zhang, A. Samal, and L.-K. Soh (2005). Polygon-Based Spatial Clustering, in Proceedings of the 8^th International Conference on GeoComputation (GeoComputation’2005), August 1-3, Ann Arbor, MI.

20 L.-K. Soh and C. Chen (2005). Balancing Ontological and Operational Factors in Refining Multiagent Neighborhoods, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Sytsems (AAMAS’2005), Utrecht, Netherlands. (acceptance rate: 24%)

21 X. Liu, H. Jiang, and L.-K. Soh (2005). Exploiting the Advantages of Object-Based DSM in A Heterogeneous Cluster Environment, in Proceedings of the 5th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID’2005), Cardiff, UK, May. (acceptance rate: 26%)

22 Nugent, G., L.-K. Soh, A. Samal, S. Person, and J. Lang (2005). Design, Development, and Evaluation of a CS1 Learning Object for CS1, in Proceedings of the 10^th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE’2005), June 27-29, Monte de Caparica, Portugal, p. 370.

23 L.-K. Soh, A. Samal, S. Person, G. Nugent, J. Lang (2005). Analyzing Relationships between Closed Labs and Course Activities in CS1, in Proceedings of the 10^th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE’2005), June 27-29, Monte de Caparica, Portugal, pp. 183-187. (acceptance rate: 34%)

24 X. Liu, H. Jiang, and L.-K. Soh (2005). The Object-Based Distributed File System Built on Storage Area Network, in Proceedings of ALAR Conference on Applied Research in Information Technology (ALAR’2005), Conway, AR, USA, February.

25 L.-K. Soh, A. Samal, S. Person, G. Nugent, J. Lang (2005). Designing, Implementing, and Analyzing a Placement Test for Introductory CS Courses, in Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education (SIGCSE’2005), St. Louis, MO, February 23-27, pp. 505-509. (acceptance rate: 32%)

26 L.-K. Soh, A. Samal, S. Person, G. Nugent, J. Lang (2005). Closed Laboratories with Embedded Instructional Research Design for CS1, in Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education (SIGCSE’2005), St. Louis, MO, February 23-27, pp. 297-301. (acceptance rate: 32%)

27 J. J. Bernadt and L.-K. Soh (2004). Authoritative Citation KNN Learning in Multiple-Instance Problems, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA’2004), Louisville, KY, December 16-18, pp. 410-417.

28 T. Blank, L. D. Miller, L.-K. Soh and S. Person (2004). Case-Based Learning Mechanisms to Deliver Learning Materials, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA’2004), Louisville, KY, December 16-18, pp. 423-428.

29 T. Blank, L.-K. Soh and S. Scott (2004). Creating a SVM to Play Strong Poker, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA’2004), Louisville, KY, December 16-18, pp. 150-155.

30 J. Glasser and L.-K. Soh (2004). Learning in a Real-Time, Dynamic Environment, in Proceedings of the International Conference on Machine Learning and Applications (ICMLA’2004), Louisville, KY, December 16-18, pp. 57-64.

31 Li, X. and L.-K. Soh (2004). Learning How to Plan and Instantiate a Plan in Multi-Agent Coalition Formation, in Proceedings of the 2004 IEEE/WIC International Conference on Intelligent Agent Technology (IAT2004), Beijing, China, September 20-24, 133-139. (acceptance rate: 26%)

32 J. J. Bernadt and L.-K. Soh (2004). Authoritative Citation KNN Learning with Noisy Training Datasets, in Proceedings of the International Conference on Machine Learning, Models, Technologies and Applications (MLMTA’04), Las Vegas, NV, June 21-24, pp. 916-921.

33 L.-K. Soh and X. Li (2004). Multiagent Coalition Formation for Distributed, Adaptive Resource Allocation, in Proceedings of the International Conference on Artificial Intelligence (ICAI’2004), Las Vegas, NV, June 21-24, pp. 372-378.

34 C. Chen and L.-K. Soh (2004). Adaptive Learning to Optimize Resource Management in a Multiagent Framework, in Proceedings of the International Conference on Artificial Intelligence (ICAI’2004), Las Vegas, NV, June 21-24, pp. 386-389.

35 L.-K. Soh and X. Li (2004). Adaptive, Confidence-Based Multiagent Negotiation Strategy, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2004), New York, NY, July 19-23, pp. 1048-1055. (acceptance rate: 24%).

36 X. Liu, H. Jiang, and L.-K. Soh (2004). A Distributed Shared Object Model Based on a Hierarchical Consistency Protocol for Heterogeneous Clusters, in Proceedings of IEEE International Symposium on Cluster Computing and the Grid (CCGRID’2004), Chicago, IL, April, pp. 515-522.

33 L.-K. Soh (2004). Cautious Cooperative Learning with Case-Based Reasoning, in Proceedings of the FLAIRS’2004, May 16-19, Miami Beach, FL, pp. 196-201.

34 L.-K. Soh (2004). Experience-Based Resource Description and Selection in Multiagent Information Retrieval, in Proceedings of the FLAIRS’2004, May 16-19, Miami Beach, FL, pp. 8-13.

35 L.-K. Soh (2004). Using Game Days to Teach a Multiagent Systems Class, in Proceedings of the 35^th Technical Symposium on Computer Science Education (SIGCSE’2004), March 3-7, Norfolk, VA, pp. 219-223. (acceptance rate: 28%)

36 L.-K. Soh, H. Jiang, and C. Ansorge (2004). Agent-Based Cooperative Learning: A Proof-of-Concept Experiment, in Proceedings of the 35^th Technical Symposium on Computer Science Education (SIGCSE’2004), March 3-7, Norfolk, VA, pp. 368-372. (acceptance rate: 28%)

37 X. Liu, X. Zhang, L.-K. Soh, J. Al-Jaroodi, and H. Jiang (2003). A Distributed, Multiagent Infrastructure for Real-Time, Virtual Classrooms, in Proceedings of the International Conference on Computers in Education (ICCE2003), Hong Kong, China, December 2-5, pp. 640-647. (acceptance rate: 25%.)

38 X. Li and L.-K. Soh (2003). The Use of Hybrid Negotiation in Resource Coordination among Agents, in Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT2003), Halifax, Canada, October 13-17, 133-139. (acceptance rate: 20%)

39 L.-K. Soh and C. Tsatsoulis (2003). Utility-Based Multiagent Coalition Formation with Incomplete Information and Time Constraints, in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Washington, D.C., 1481-1486.

40 X. Liu, X. Zhang, J. Al-Jaroodi, P. Vemuri, H. Jiang, and L.-K. Soh (2003). I-MINDS: An Application of Multiagent System Intelligence to On-Line Education, in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Washington, D.C., October, 4864-4871.

41 L.-K. Soh (2003). Teaching with Game Days: Designs, Expectations, and Lessons Learned, in Proceedings of the 38^th American Society for Engineering Education (ASEE) Midwest Section Conference, University of Missouri-Rolla, MO, September 10-12.

42 L.-K. Soh and X. Li (2003). An Integrated Multilevel Learning Approach to Multiagent Coalition Formation, in Proceedings of the 18^th International Joint Conference on Artificial Intelligence (IJCAI’2003), Acapulco, Mexico, August 12-15, 619-624.

43 L.-K. Soh and X. Li (2003). A Learning-Based Coalition Formation Model for Multiagent Systems, Proceedings of the 2^nd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’03), Melbourne, Australia, 1120-1121.

44 L.-K. Soh and J. Luo (2003). Combining Individual and Cooperative Learning for Multiagent Negotiations, in Proceedings of the 2^nd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’03), Melbourne, Australia, 1122-1123.

45 L.-K. Soh and C. Tsatsoulis (2002). Satisficing Coalition Formation among Agents, in Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, Bologna, Italy, pp. 1062-1063.

46 L.-K. Soh (2002). Image Processing Techniques for Describing Sea Ice Features, in Proceedings of the 2002 International Geoscience and Remote Sensing Symposium (IGARSS’02), Toronto, Canada, pp. 309-311.

47 L.-K. Soh and C. Tsatsoulis (2001). Combining Genetic Algorithms and Case-Based Reasoning for Genetic Learning of a Case Library: A Conceptual Framework, in Proceedings of the Late-Breaking Papers of Genetic and Evolutionary Computation Conference (GECCO’01), July 7-11, San Francisco, CA, pp. 376-383.

48 L.-K. Soh and C. Tsatsoulis (2001). Reflective Negotiating Agents for Real-Time Multisensor Target Tracking, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’01), August 6-11, Seattle, WA, pp. 1121-1127.

49 L.-K. Soh, C. Tsatsoulis, M. Jones, and A. Agah (2001). Evolving Cases for Case-Based Reasoning Multiagent Negotiations, in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’01), July 7-11, San Francisco, CA, p. 909.

50 L.-K. Soh and C. Tsatsoulis (2000). Using Learning by Discovery to Segment Remotely Sensed Images, in Proceedings of the 17th International Conference on Machine Learning (ICML-2000), June 29 – July 2, Stanford, CA, pp. 919-926.

51 L.-K. Soh and C. Tsatsoulis (2000). ARKTOS: A Knowledge Engineering Software Package for Satellite Sea Ice, in Proceedings of the 2000 International Geoscience and Remote Sensing Symposium (IGARSS’00), Honolulu, Hawaii, pp. 696-698.

52 L.-K. Soh and C. Tsatsoulis (1999). Multisource Data and Knowledge Fusion for Intelligent SAR Sea Ice Classification, in Proceedings of the 1999 International Geoscience and Remote Sensing Symposium (IGARSS’99), Hamburg, Germany, pp. 68-70.

53 L.-K. Soh and C. Tsatsoulis (1999). Adaptive Multiresolution Quantization for Contextual Information Gain in SAR Sea Ice Images, in Proceedings of the 1999 International Geoscience and Remote Sensing Symposium (IGARSS’99), Hamburg, Germany, pp. 1567-1569.

54 C. Bertoia, D. Gineris, K. Partington, L.-K. Soh and C. Tsatsoulis (1999). Transition From Research to Operations: ARKTOS: A Knowledge-Based Sea Ice Classification System, in Proceedings of the 1999 International Geoscience and Remote Sensing Symposium (IGARSS’99), Hamburg, Germany, pp. 1573-1574.

55 L.-K. Soh and C. Tsatsoulis (1998). Automated Sea Ice Segmentation (ASIS), in Proceedings of the 1998 International Geoscience and Remote Sensing Symposium (IGARSS '98), Seattle, Washington, pp. 586-588.

56 L.-K. Soh and C. Tsatsoulis (1998). Data Mining in Remotely Sensed Imagery: A General Model and An Application, in Proceedings of the 1998 International Geoscience and Remote Sensing Symposium (IGARSS '98), Seattle, Washington, pp. 798-800.

57 L.-K. Soh, C. Tsatsoulis, T. Bowers, and A. Williams (1998). Representing Sea Ice Knowledge in Dempster-Shafer Belief System, in Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS '98), Seattle, Washington, 2234-2236.

58 L.-K. Soh and C. Tsatsoulis (1997). Identifying Classes in SAR Sea Ice Imagery Automatically Using Correlated Texture, in Proceedings of the 1997 International Geoscience and Remote Sensing Symposium (IGARSS '97), Singapore, pp.1177-1179.

59 L.-K. Soh and C. Tsatsoulis (1996). Texture Representation of SAR Sea Ice Imagery Using Multi-Displacement Co-Occurrence Matrices, in Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96), Lincoln, Nebraska, pp. 112-114.

60 L.-K. Soh, D. Haverkamp, and C. Tsatsoulis (1996). Separating Ice-Water Composites and Computing Floe Size Distributions, in Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96), Lincoln, Nebraska, pp. 1532-1534.

61 L.-K. Soh and C. Tsatsoulis (1996). Determining the Number of Classes for Segmentation in SAR Sea Ice Imagery, in Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96), Lincoln, Nebraska, pp. 1565-1567.

62 H. Sevay, L.-K. Soh, and K. Kumar (1994). BIDDER: A CBR Application for Bidding for Software Contracts, in Proceedings of Mid-America Conference on Intelligent Systems (MACIS '94), Overland Park, Kansas, pp. 160–-167.

63 Haverkamp, D., L.-K. Soh, and C. Tsatsoulis (1993). A Dynamic Local Thresholding Technique for Sea Ice Classification, in Proceedings of the 1993 International Geoscience and Remote Sensing Symposium (IGARSS '93), Tokyo, Japan, pp. 638-640.

64 L.-K. Soh and C. Tsatsoulis (1993). A Feature Extraction Technique for Synthetic Aperture Radar (SAR) Sea Ice Imagery, in Proceedings of the 1993 International Geoscience and Remote Sensing Symposium (IGARSS '93), Tokyo, Japan, pp. 632-634. (Area II)

65 C.-C. Chang, L.-K. Soh, and C. Tsatsoulis (1992). Experiments in Case-Based Search, in Proceedings of the First Midwest Electro Technology Conference, Ames, Iowa.

C.5. Reviewed Short Articles

1 L.-K. Soh, et al. (2005). The Workshop Program at the Nineteenth National Conference on Artificial Intelligence, AI Magazine, 26(1):102-108. “Forming and Maintaining Coalitions and Teams in Adaptive Multiagent Systems,” 105-106.

2 J. Zhang, A. Samal, L.-K. Soh, and W. J. Waltman (2004). Mapping Hydrological Drought in the Great Plains, ArcUser, 7(4):20-22, October-December.

C.6. Reviewed Workshop Publications

1 X. Li and L.-K. Soh (2004). Investigating Reinforcement Learning in Multiagent Coalition Formation, in Technical Report WS-04-06 of the AAAI’2004 Workshop on Forming and Maintaining Coalitions and Teams in Adaptive Multiagent Systems, San Jose, CA, July 26, pp. 22-28.

2 L.-K. Soh (2004). On Cooperative Learning Teams for Multiagent Team Formation, in Technical Report WS-04-06 of the AAAI’2004 Workshop on Forming and Maintaining Coalitions and Teams in Adaptive Multiagent Systems, San Jose, CA, July 26, pp. 37-44.

3 Li, X., Q. Tao, and L.-K. Soh (2004). Learning Negotiation Approach Selection with SVM, in Proceedings of the AAMAS 2004 Workshop on Learning, New York, NY, July, pp. 56-57.

4 L.-K. Soh (2004). Using Multiagent Profiling for Distributed Information Retrieval, to appear in Proceedings of the AAMAS 2004 Workshop on Modeling Other Agents from Observations (MOO’04), New York, NY, July, pp. 121-124.

5 Li, X. and L.-K. Soh (2004). Learning-Based Multi-Phase Coalition Formation, in Proceedings of the AMAS 2004 Workshop on Coalitions and Teams, New York, NY, July, pp. 9-16.

6 L.-K. Soh (2003). Collaborative Understanding of Distributed Ontologies in a Multiagent Framework: Design and Experiments, in Proceedings of AAMAS 2003 Workshop on Ontology in Agent Systems (OAS), Melbourne, Australia, pp. 47-54.

7 L.-K. Soh and J. Luo (2003). Muiltiagent Case-Based Reasoning through Individual and Cooperative Learning, Proceedings of the IJCAI 2003 Workshop on Agents and Automated Reasoning, Acapulco, Mexico, 44-51.

8 L.-K. Soh, X. Liu, X. Zhang, J. Al-Jaroodi, H. Jiang, P. Vermuri (2003). I-MINDS: An Agent-Oriented Information System for Applications in Education, in Proceedings of AAMAS 2003 Workshop on Agent-Oriented Information Systems (AOIS), Melbourne, Australia, pp. 2-8.

9 L.-K. Soh (2002). A Multiagent Framework for Collaborative Conceptual Learning Using a Dempster-Shafer Belief System, in Working Notes of AAAI Spring Symposium on Collaborative Learning Agents, Stanford, CA, March 25-27, pp. 9-16.

10 L.-K. Soh and C. Tsatsoulis (2002). Learning to Form Negotiation Coalitions in a Multiagent System, in Working Notes of AAAI Spring Symposium on Collaborative Learning Agents, Stanford, CA, March 25-27, pp. 106-112.

11 L.-K. Soh and C. Tsatsoulis (2002). Allocation Algorithms in Dynamic Negotiation-Based Coalition Formation, in Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems Workshop on Teamwork and Coalition Formation, Bologna, Italy, July 15-19.

12 L.-K. Soh (2002). Multiagent Distributed Ontology Learning, in Working Notes of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems Workshop on Ontologies in Agent System, Bologna, Italy, July 15-19.

13 L.-K. Soh and C. Tsatsoulis (2002). Real-Time Satisficing Multiagent Coalition Formation, in Working Notes of the AAAI Workshop on Coalition Formation in Dynamic Multiagent Environments, Edmonton, Alberta, Canada, July 28-August 1, pp. 7-15.

14 L.-K. Soh and C. Tsatsoulis (2001). Agent-Based Argumentative Negotiations with Case-Based Reasoning, in Working Notes of the AAAI Fall Symposium Series on Negotiation Methods for Autonomous Cooperative Systems, November 1-4, North Falmouth, MA, pp. 16-25.

15 L.-K. Soh and C. Tsatsoulis (2000). Learning Methodologies and Discriminating Visual Cues for Unsupervised Image Segmentation, in Working Notes of the 17th International Conference on Machine Learning (ICML-2000) Workshop on Machine Learning on Spatial Knowledge, July 2, Stanford, CA, pp. 56-61.

16 C. Tsatsoulis, L.-K. Soh, C. Bertoia, and K. Partington (1999). Intelligent Fusion of Multisource Data for Sea Ice Classification, in 1999 Advanced Course on Artificial Intelligence (ACAI’99), Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications, July 5-16, Chania, Greece.

17 L.-K. Soh, H. Sevay, and C. Tsatsoulis (1998). MAGE: Multi-Agent Graphical Environment, in Proceedings of the 1999 AAAI Symposium Spring Series, Intelligent Agents in Cyberspace, pp. 128-135.

18 Haverkamp, D., L.-K. Soh, and C. Tsatsoulis (1994). A Dynamic Local Thresholding Technique for Distinguishing Sea Ice Thickness in SAR Data, in Proceedings of the Workshop of the International Union of Radio Science (URSI '94), Lawrence, Kansas.

C.7. Reviewed Conference Presentations (No Publications)

1 G. Nugent, J. Lang, A. Samal, L.-K. Soh, and S. Person (2004). Reinventing CS Curriulum, The 2^nd National Symposium for Information Technology in Education, June 16-18, Lincoln, NE.

2 L.-K. Soh, H. Jiang, X. Liu, and X. Zhang (2004). I-MINDS, The 2^nd National Symposium for Information Technology in Education, June 16-18, Lincoln, NE.

3 D. Niehaus, C. Tsatsoulis, L.-K. Soh, W. Dinkel, and A. Gautam (2001). An Infrastructure for Real-Time, Reflective Intelligent Agents, The Ninth International Workshop on Parallel and Distributed Real-Time Systems and Sixth International Workshop on Embedded/ Distributed HPC Systems Applications (WPDRTS 2001 and EHPC 2001 ), April 23-24, 2001, San Francisco, CA.

C.8. Non-Reviewed Conference Publications

1 L.-K. Soh (2002). Automated Sea Ice Classification, Operational Sea Ice Symposium, Solomons, Maryland, September 18-19. (Presentation only)

2 C. Bertoia, M. R. Keller, D. Gineris, L.-K. Soh, and C. Tsatsoulis (2000). Operational Evaluation of a Knowledge-Based Sea Ice Classification System, World Meteorological Organization (WMO) Steering Group for Global Digital Sea Ice Data Bank – Eighth session and WMO Workshop on Mapping and Archiving Sea Ice Data Derived from Radar Data Processing, April 30 – May 4, Ottawa, Canada.

3 L.-K. Soh, C. Tsatsoulis, C. Bertoia, and B. Ramsay (1998). Transition from Research to Operations, ARKTOS: Advanced Reasoning Using Knowledge to Classify Sea Ice, International Conference on Sea Ice Charts of the Arctic—Scientific Achievements from the First 400 Years, Seattle, Washington, August 5-7.

4 C. Tsatsoulis and L.-K. Soh (1997). ARKTOS: The KU Expert System for Ice Analysis (with demonstration), 6th Radarsat/NIC Working Group Meeting, National Snow and Ice Data Center, Boulder, Colorado, November 19-20.

5 Haverkamp, D., L.-K. Soh, and C. Tsatsoulis (1995). The Sea-Ice Classification System of the University of Kansas, 3rd Circumpolar Symposium on Remote Sensing of Arctic Environments, Fairbanks, Alaska.

6 L.-K. Soh, S. Cappiello, D. Haverkamp, and C. Tsatsoulis (1993). Analysis of the Distribution of Local Dynamic Classification Thresholds for Sea Ice in ERS-1 Data, ASF SAR User Meeting, Seattle, Washington, July 27-29.

C.9. Talks

1 L.-K. Soh and A. Samal (2006). Computing Quality of Data for Streamflow Analysis, 2006 Water Colloquium, University of Nebraska, Lincoln, NE, October 27, 2006.

2 L.-K. Soh (2006). Agents and Computer-Aided Education Systems, Lincoln Public Schools Workshop, University of Nebraska, Lincoln, NE, July 26.

3 L.-K. Soh (2005). ILMDA: An Intelligent Agent that Learns to Deliver Learning Materials, Education and Technology Research Forum, University of Nebraska, Lincoln, NE, March 21.

4 L.-K. Soh (2004). Intelligent Agents to Deliver Learning Materials, Future Problem Solving Workshop-Hastings, Nebraska, January 21.

5 L.-K. Soh (2003). Developing Intelligent Agents and Multiagent Systems for Educational Applications, Technology in the Classroom, Instructional Technology Advisory Committee (ITAC), November 13, 2003.

6 L.-K. Soh (2003). Agents and Multiagent Systems in Education, Education and Technology Research Forum, University of Nebraska, Lincoln, NE, February 24.

7 L.-K. Soh (2002). ARKTOS: A Knowledge-Based Expert System for Sea Ice Classification, National Soil Survey Center, Lincoln, NE, December 2 2002.

8 L.-K. Soh (2002). IT in Education: Technology Focus, Business-Higher Education Forum Committee on Technology and Learning, J. D. Edwards Program, University of Nebraska, Lincoln, NE, October 2002.

9 L.-K. Soh (2001). Multiagent Case-Based Reflective Negotiation, Fall 2001 Colloquium Series, Computer Science and Engineering, University of Nebraska, Lincoln, NE, October 4.

C.10. Poster

1 A. Samal and L.-K. Soh (2006). A New Similarity Measure for Polygon-Based Spatial Clustering and Its Application in Watershed Study, 2006 Water Colloquium, University of Nebraska, Lincoln, NE, October 27, 2006.

C.11. Technical Reports

1 A. Eck, L. D. Miller, L.-K. Soh, H. Jiang, and T. Chou (2007). ConferenceXP-Powered I-MINDS: A Multiagent System for Intelligently Supporting Online Collaboration, Technical Report TR-UNL-CSE-2007-0014, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

2 J. Rupiper, X.-H. Chen, L.-K. Soh, and A. Samal (2006). Spatial Distribution of Quaternary Sediments in Nebraska, School of Natural Resources Open-file Report SKU OPR-76, University of Nebraska – Lincoln.

3 X. Liu, H. Jiang, and L. K. Soh (2005). DCDP: A Novel Data-Centric and Design-Pattern Based Approach to Automatic Loop Transformation and Parallelization for A Shared-Object Environment in Clusters, Technical Report TR-UNL-CSE-2005-0009, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

4 X. Li and L.-K. Soh (2004). Applications of Decision and Utility Theory in Multi-Agent Systems, TR-UNL-CSE-2004-0014, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

5 E. Moss and L.-K. Soh (2004). An Adaptive Mechanism for Improving File Transfer Performance, TR-UNL-CSE-2004-0012, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

6 J. Kite and L.-K. Soh (2004). An Online Survey Framework Using the Life Events Calendar, TR-UNL-CSE-2004-0011, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

7 L.-K. Soh (2004). Cooperative Learning Teams for Multiagent Team Formation, TR-UNL-CSE-2004-0006, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

8 L.-K. Soh, L. D. Miller, T. Blank, and S. Person (2004). ILMDA: Intelligent Learning Materials Delivery Agent, TR-UNL-CSE-2004-0005, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

9 J. A. Glasser and L.-K. Soh (2004). AI in Computer Games: From Player’s Goal to AI’s Role, TR-UNL-CSE-2004-000, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

10 L.-K. Soh (2003). Reasoning and Learning with Imperfect Casebases: An Agent Perspective and An Expert Model, TR-UNL-CSE-2004-0002, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

11 L.-K. Soh (2003). Teaching a Multiagent Systems Class with Game Days: Designs and Lessons Learned, TR-UNL-CSE-2003-9, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

12 L.-K. Soh and J. J. Bernadt (2003). Authoritative Citation KNN Learning with Noisy Training Datasets, TR-UNL-CSE-2003-3, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

13 L.-K. Soh (2002). Some New Sea Ice Feature Descriptors and Their Algorithms for SAR Images, TR-UNL-CSE-2002-4, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

14 L.-K. Soh (2002). Two Algorithms for Shape-Based Porosity Measures, TR-UNL-CSE-2002-3, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

15 L.-K. Soh (2002). A Negotiation-Based Coalition Formation Model for Agents with Incomplete Information and Time Constraints, TR-UNL-CSE-2002-2, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

16 L.-K. Soh (2002). ARKTOS: An Intelligent System for Satellite Sea Ice Image Analysis, TR-UNL-CSE-2002-1, Department of Computer Science and Engineering, University of Nebraska – Lincoln.

17 L.-K. Soh (2001). Literature Review on Real-Time AI Systems, ITTC-FY2001-TR-19860-04, Information Technology and Telecommunications Center, University of Kansas.

18 L.-K. Soh (2000). Literature Review on Mobile, Active, and Smart Data in Telecommunication Networks, ITTC-FY2001-TR-19860-03, Information Technology and Telecommunications Center, University of Kansas.

19 L.-K. Soh (2000). Literature Review on Agent-Based Negotiations, ITTC-FY2001-TR-19860-02, Information Technology and Telecommunications Center, University of Kansas.

20 L.-K. Soh (2000). Combining Genetic Algorithms and Case-Based Reasoning for Genetic Learning of a Case Library: A Conceptual Framework, ITTC-FY2001-TR-19860-01, Information Technology and Telecommunications Center, University of Kansas.

21 L.-K. Soh and C. Tsatsoulis (1999). Experiments and Algorithmic Analysis of the Restricted Growing Concept, ITTC-FY99-11810-05, Information Technology and Telecommunications Center, University of Kansas.

22 L.-K. Soh (1998). A General Model for Designing Unsupervised Segmentation Techniques in Image Analysis, ITTC-FY98-TR-11810-04, Information Technology and Telecommunications Center, University of Kansas.

23 L.-K. Soh and C. Tsatsoulis (1998). Automated Multiyear Ice Extraction Using Multiresolution Tracking and Binary Clustering, ITTC-FY98-TR-11810-03, Information Technology and Telecommunications Center, University of Kansas.

24 L.-K. Soh and C. Tsatsoulis (1998). The Restricted Growing Concept for Object Separation, ITTC-FY98-TR-11810-02, Information Technology and Telecommunications Center, University of Kansas.

25 L.-K. Soh and C. Tsatsoulis (1997). Automated Sea Ice Segmentation Using Spatial Clustering, ITTC-FY98-TR-11810-01, Information Technology and Telecommunications Center, University of Kansas.

26 L.-K. Soh and C. Tsatsoulis (1993). A Multistage Feature Extraction Technique for Synthetic Aperture Radar (SAR) Sea Ice Imagery, Part I: Combination of Algorithmic and Heuristic Methods, CECASE TR 9710-02, Information Technology and Telecommunications Center, University of Kansas.

27 L.-K. Soh and C. Tsatsoulis (1993). A Multistage Feature Extraction Technique for Synthetic Aperture Radar (SAR) Sea Ice Imagery, Part II: The Restricted Growing Concept, CECASE TR 9710-03, Information Technology and Telecommunications Center, University of Kansas.

D. GRADUATE STUDENT MENTORING

Current Advisees

1 Nobel Khandaker, Ph.D. CS (Advisor), 2005-

2 Lee Dee Miller, MS. CS (Advisor), 2002-

3 Tao Hong, MS. CS (co-Advisor), 2006-

4 Deepti Joshi, Ph.D. CS (co-Advisor), 2007-

5 Peng Du, Ph.D. CS (co-Advisor), 2007-

Past Advisees

1 Jared Kite, M.S. Thesis (Advisor), 2003-2007: A Flexible Framework for Knowledge Engineering and Automation of An Adaptive Conversational Case-Retrieval System

2 Carol Spardling, Ph.D. Education Studies (Co-Advisor), 2004-2007 (May 3, 2007): A Study of Social and Professional Ethics in Undergraduate Computer Science Programs: Faculty Perspectives

3 Xin Li, Ph.D. CS (Advisor), 2001-2007 (April 12, 2007): Improving Multi-Agent Coalition Formation in Complex Environments

4 XuLi Liu, Ph.D. CS (co-Advisor), 2002-2007 (April 9, 2007): APOP: Automatic Pattern and Object-based Code Parallelization Framework for Clusters

5 Naresh Arcot, M.S. Project, CS (co-Advisor), 2005-2006, November 2006: An Adaptive Placement Test for Introductory CS Courses

6 Todd Blank, M.S. Thesis, CS (Advisor), 2003-2005, November 2005: ILMDA: An Intelligent Tutoring System with Integrated Learning

7 Nobel Khandaker, MS. Thesis, CS (Advisor), 2004-2005, August 2005: VALCAM – An Auction Based Learning Enabled Multiagent Coalition Formation Algorithm for Real-World Applications

8 Eric Moss, MS. Thesis, CS (Advisor), 2003-2005, August 2005: Language Boundaries and Excess Programming Complexity

9 Lei Fu, MS. Thesis, CS (co-Advisor), 2003-2005, August 2005: Evaluating Quality of Data for the Geospatial Time Series Datasets

10 Jing Zhang, M.S. Thesis, CS (Co-Advisor), 2002-2004, December 2004: Polygon-Based Spatial Clustering and Its Application in Watershed Study

11 Kye Halsted, M.S. Project, CS (Advisor), 2002-2004, December 2004: Predator/Prey Domains: Analyzing Multiagent Communication in a Noisy Environment

12 Xuesong Zhang, M.S. Thesis, CS (Co-Advisor), 2002-2004, December 2004: I-MINDS: An Intelligent Multiagent System Supported Teaching and Cooperative Learning Environment

13 Suresh Namala, M.S. Project, CS (Advisor), 2002-2004, November 2004: An Intelligence Module for I-MINDS

14 Chao Chen, M.S. Thesis, CS (Advisor), 2002-2004, November 2004: A Multiagent Approach Using Ontology and Operational Learning to Improve Distributed Information Retrieval

15 Ashok Thirunavukkarasu, M.S. Project, CS (Advisor), 2003-2004, July 2004: Relaxed Database Retrieval

16 Jeremy Glasser, M.S. Thesis, CS (Advisor), 2002-2004, May 2004: Using Adaptive Agents to Create a Continuous Challenge in Computer Games

17 Jingfei Xu, M.S. Project, CS (Advisor), 2002-2003, July 2003: Operational Distributed Ontology Learning in a Multi-Agent System

18 Juan Luo, M.S. Project, CS (Advisor), 2001-2003, May 2003: Case-Based Learning Behavior in a Real Time Multi-Agent System

Committee Members

1 Derrick Stolee, B.S. CS, Thesis (committee), April 2007: A Multi-Dimensional Spatial Cache for Decision Support Systems

2 Teik-Ooi Tan, MEngSc. Thesis (external reviewer, committee), January 2006: SAR Image Classification and Field Measurement in Antarctica, Multimedia University, Malaysia

3 DongMin Zhang, M.S. Project, CS (committee), December 2001: Baseline Removal in Comprehensive Two-Dimensional Gas Chromatographic Images

4 XuanLi Liu, M.S. Thesis, CS (committee), August 2002: The Web Application of Parking Lot Problem with MLPQ System

5 Yifeng Zhu, M.S. Thesis, CS (committee), December 2002: Design, Implementation and Performance Evaluation of a Cost-Effective, Fault-Tolerant Parallel Virtual File System (CEFT-PVFS)

6 Yu Lin, M.S. Project, CS (committee), May 2003: On-Line Handwriting Recognition

7 Phanivas Vemuri, M.S. Project, CS (committee), July 2003: Multimedia Support for I-MINDS

8 Arvind Visvanathan, M.S. Thesis, CS (committee), July 2003: Archiving and Reporting Formats for Two-Dimensional Gas Chromatography

9 Visweswara Rao Kottapalli, M.S. Thesis, CS (committee), August 2003: Visualization, Processing, and Analysis of GCxGC-TOR MS Images

10 Christopher Hammack M.S. Thesis, CS (committee), December 2003: LASSO: A Learning Architecture for Semantic Web Ontologies

11 Sarita Navuluru, M.S. Project, CS (committee), April 2004: A Semantic Web Approach for Representing Software Process Tailoring Knowledge

12 Rishi Kumar Venkatarama, M.S. Thesis (committee), June 2005: Improving Software Process through Case Based Retrieval

13 Thomas Osugi, M.S. Thesis, CS (committee), June 2005: Exploration-Based Active Learning

14 Timothy Perrin, M.S. Thesis, CS (committee), June 2006: BIT: Bug Identification Tool Learning and Detecting Common Mistakes in Simple Programming Exercises

15 Matthew Culver, M.S. Thesis, CS (committee), July 2006: Active Learning to Maximize Area under the ROC Curve

16 Catherine Anderson, M.S. Thesis, CS (committee), November 2006: A Study on the Effect of Ensemble and Concavity Repair Methods on the Area under the ROC

17 Yijun Lu, Ph.D., CS (committee), 2005 – Present

18 Padmapriya Ashokkumar, Ph.D., CS (committee), 2004 – Present

19 Deng Kun, Ph.D., CS (committee), 2005 – Present

[1] Where available, the conference acceptance rate is provided in parentheses.