Ph.D. in Computer
Science,
M.S. in Computer
Science,
B.S. in Computer
Science,
8/04-update: Associate Professor in the Department of Computer Science at Georgia State University.
1/99-7/04: Assistant Professor in the Department of Computer Science at Georgia State University.
9/97-12/98:
Assistant Professor in the
1. Theory: Hybrid Intelligent Systems using Neural Networks, Fuzzy Logic, Evolutionary Computation, Yin-Yang Computation, Granular Computing, Kernel Machines, and Natural Computing;
2. Applications:
(1) Data Mining and Knowledge Discovery: Bioinformatics, Medical Informatics
and Chemical Informatics; (2) Computational Web Intelligence: Intelligent
Agents for e-Business and e-Security, Intelligent Grid Computing and
Intelligent Wireless
AWARDS
1. Outstanding Academic Service Award at IEEE 7th International Conference on Bioinformatics
& Bioengineering (IEEE BIBE 2007).
2. Achievement Award of the 2007 World
Congress in Computer Science, Computer Engineering, and Applied Computing.
3. 2005 IEEE-Granular Computing Outstanding Service Award at 2005 IEEE International Conference on Granular Computing (IEEE-GrC2005).
1.
Associate Editor of Journal
of Computational Intelligence in Bioinformatics and Systems Biology.
2.
Editorial Board member of International
Journal of Data Mining and Bioinformatics.
3.
Guest Editor (with J. C. Rajapakse and
G. B. Fogel): Special
Section on Computational Intelligence Approaches in Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Computational Biology and Bioinformatics, April-June, 2007.
4.
Organizing Co-Chair: 2008 International Symposium on
Bioinformatics Research and Applications (ISBRA2008), Atlanta, May 6-9, 2008.
5.
Program Co-Chair and Bioinformatics Track Chair:
IEEE 7th International Conference on
Bioinformatics & Bioengineering (IEEE BIBE 2007), Boston, USA, October
14-17, 2007.
6.
Publicity Co-Chair: 2007 International Workshop on
Pattern Recognition in Bioinformatics (PRIB 2007),
7.
Vice Chair: The
2007 International Conference on Bioinformatics & Computational Biology
(BIOCOMP'07),
8.
Vice Chair: The
2007 International Conference on Artificial Intelligence,
9.
Vice Chair: The
2007 International Conference on Genetic and Evolutionary Methods (GEM'07),
10.
Vice Chair: The
2007 International Conference on Image Processing, Computer Vision, and Pattern
Recognition (IPCV'07),
11.
Organizing Co-Chair: 2007 International Symposium on
Bioinformatics Research and Applications (ISBRA2007),
12.
Chair of
the Session on Kernel Methods at ISNN2006,
13.
Program
Committee Co-Chair (with
14.
Panel Moderator of Panel on Granular Computing: Theory and
Applications at IEEEGrC2006, May 12, 2006.
15.
Program
Committee Co-Chair (with W.R. Zhang and X.H. T. Hu): 2005 IEEE-ICDM
Workshop on MultiAgent Data Warehousing and MultiAgent Data Mining,
16.
Co-Chair
(with Zhang Y.): the Special Session on Ying-Yang Computation for Brain,
Behavior and Machine Learning at the Second International Conference on Neural
Networks and Brain (ICNN&B2005, http://cnnc.org.cn/),
17.
Chair:
Workshop on Ying-Yang Computation for Brain, Behavior and Machine Learning (http://www.cs.gsu.edu/~cscyqz/conf/GSU-YYC-BBML-Workshop.htm)
at GSU,
1. T.Y. Lin, L. A. Zadeh and Y.-Q. Zhang (eds.), “Granular Computing,” World Scientific, 2008.
2. Y.-Q. Zhang and Jagath C Rajapakse (eds.), “Machine Learning in Bioinformatics,” Wiley Book Series on Bioinformatics: Computational Techniques and Engineering, John Wiley & Sons, 2008.
3. J. Y. Yang, M. Q. Yang, M. M. Zhu, Y.-Q. Zhang, H. R. Arabnia, Y.P. Deng and N. Bourbakis, “Proceedings of IEEE 7th International Conference on BioInformatics and BioEngineering,” ISBN 1-4244-1509-8, IEEE, 2007.
4. Y.-Q. Zhang and T.Y. Lin (eds.), “Proceedings of the 2006 IEEE International Conference on Granular Computing,” ISBN 0-7803-9017-2, IEEE, 2006.
5. W.-R. Zhang, Y.-Q. Zhang and X.H. T. Hu (eds.), “Proceedings of the 2005 IEEE ICDM Multiagent Data Warehousing and Multiagent Data Mining Workshop,” ISBN 0-9738918-0-7, 2005.
6. H.B. Wang, F. Smarandache, Y.-Q. Zhang and R. Sunderraman, “Interval Neutrosophic Sets and Logic: Theory and Applications in Computing,” Neutrosophic Book Series, no. 5, HEXIS, 2005.
7. Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao (eds.), “Computational Web Intelligence: Intelligent Technology for Web Applications,” Series in Machine Perception and Artificial Intelligence, volume 58, World Scientific, 2004.
8. Y.-Q. Zhang and A. Kandel, “Compensatory Genetic Fuzzy Neural Networks and Their Applications,” Series in Machine Perception and Artificial Intelligence, volume 30, World Scientific, 1998.
1. Y.-Q. Zhang, “Granular Neural Networks,” Encyclopedia of Complexity & System Science, Robert Meyers (Ed.), Springer, 2008.
2. Z.J. Ding and Y.-Q. Zhang, “Fuzzy Logic,” The Handbook of Technology Management, H. Bidgoli (Ed.), John Wiley & Sons, 2008.
3. Y. Chen and Y.-Q. Zhang, “A Personalized Semantic Web Search Agents Based on Fuzzy Semantic Trees and Neural Networks,” book chapter, T.J. Yao eds., Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, IGI Global, 2008.
4. B. Jin and Y.-Q. Zhang, “Evolutionary Granular Kernel Trees Machines for Protein Subcellular Location Prediction,” Machine Learning in Bioinformatics, Y.-Q. Zhang and Jagath C Rajapakse (eds.), John Wiley & Sons, 2007.
5. Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data,” Computational Intelligence for Bioinformatics, Gary B. Fogel, David Corne, and Yi Pan (eds.), IEEE Press, 2007.
6. B. Jin and Y.-Q. Zhang, “Voting Scheme Based Evolutionary Kernel Machines for Drug Activity Comparisons,” Knowledge Discovery in Bioinformatics: Techniques, Methods and Applications, Yi Pan and Xiaohua Hu (eds.), John Wiley & Sons, 2007.
7. Y. Tang and Y.-Q. Zhang, “Soft Statistical Decision Fusion for Distributed Medical Data on Grids,” Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, X.F. Zha (ed.), IRM Press, Oct. 2006.
8.
Y.C. Tang and Y.-Q. Zhang, “Intelligent
Type-2 Fuzzy Inference for Web Information Search Task,” Soft
Computing for Information Processing and Analysis, Series in Fuzziness and SoftComputing;
vol. 164, M. Nikravesh,
9. Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao, “Introduction to Computational Web Intelligence and Hybrid Web Intelligence,” Computational Web Intelligence: Intelligent Technology for Web Applications, Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao (eds.), World Scientific, 2004.
10. Y. Tang, Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao, “Personalized Web Search Agents Using Data Mining and Granular Fuzzy Techniques,” Enhancing the power of the Internet, M. Nikravesh, B. Azvine, R. Yagar, and L.A. Zadeh (eds.), pp. 207-224, Physica-Verlag, Springer, 2004.
11. Y.C. Tang and Y.-Q. Zhang, “Smart Homepage-Finder — A TSK-Based Genetic Fuzzy Information Filtering Agent for Searching Homepages Intelligently,” Enhancing the power of the Internet, M. Nikravesh, B. Azvine, R. Yagar, and L.A. Zadeh (eds.), pp. 379-402, Physica-Verlag, Springer, 2004.
12. Y.F. Wang and Y.-Q. Zhang, “Fuzzy Web Information
Classification Agents,” Fuzzy
Logic and the Internet, V. Loia, M. Nikravesh and
13. Y.-Q.
Zhang, “Fuzzy Logic,” The Internet Encyclopedia, (Editor-in-Chief: H. Bidgoli, and 14 other editors), John Wiley & Sons, Inc.
14. W. Pedrycz, A. Kandel and Y.-Q. Zhang, “Neurofuzzy Systems,” International Handbook on Fuzzy Sets and Possibility Theory, D. Dubois and H. Prade (eds.), Volume: “Fuzzy Systems: Modeling and Control,” pp. 311-380, Kluwer Academic Publishers, 1997.
15. A. Kandel and Y.-Q. Zhang, “Expert Systems and Fuzzy Moves,” Application of Fuzzy Logic, M. Lamshidi, L. Zadeh, A. Titli and S. Boverie (eds.), pp. 397-416, Prentice Hall PTR, 1997.
JOURNAL PAPERS
1. Y.C. Tang, Y.-Q. Zhang, Z. Huang, X.H. T. Hu, and Y. Zhao, “Recursive Fuzzy Granulation for Gene
Subsets Extraction and Cancer Classification,” IEEE Transactions on Information
Technology in Biomedicine, 2008.
2.
Y.-Q. Zhang, B.
Jin and Y.C. Tang, “Granular
Neural Networks with Evolutionary Interval Learning,” IEEE Transactions
on Fuzzy Systems, Special Section on Granular Computing, vol. 16, no.
2, pp. 309-319, April 2008.
3. M. Atlas and Y.-Q. Zhang, “Fuzzy Neural Web Agents for Efficient NBA Scouting,” Web Intelligence and Agent Systems: An
International Journal, vol.
6, no. 1, pp. 83-91, 2008.
4. M.Y. Li, N.T.
Ni, B.H. Wang and Y.-Q.
Zhang, “Modeling the Excitation Wavelengths (λex)
of Boronic Acids,” Journal of
Molecular Modeling, vol. 14, no.
6, pp. 441-449, 2008.
5. W.R. Zhang, J. Zhan, P.P. Wang and Y.-Q. Zhang, “On
Truth, Uncertainty, Equilibrium and Harmony – a Taxonomy for YinYang Scientific Computing,” New Mathematics and
Natural Computation, vol. 4, no. 2, pp. 207-229, July 2008.
6. X.J. Chen, Y. Li, R. Harrison and Y.-Q. Zhang,
“Interval Type-2 Fuzzy Classifier Fusion for Support Vector Machines,” Applied Soft Computing, vol. 8, no. 3, pp.
1222-1231, June 2008.
7. Y. Qiu, H. Yang, Y.-Q. Zhang and Y.C. Zhao,
“Polynomial Regression Interval-valued
Fuzzy Systems,” Soft Computing - A Fusion of Foundations, Methodologies and
Applications, vol. 12, no.
2, pp. 137-145, Jan. 2008.
8. F. Tan, X.Z. Fu, Y.-Q. Zhang and A. Bourgeois, “A Genetic
Algorithm-based Feature Subset Selection,” Soft Computing -
A Fusion of Foundations, Methodologies
and Applications, vol. 12, no.
2, pp. 111-120, Jan. 2008.
9. X.J. Chen, R. Harrison and Y.-Q. Zhang, “Genetic Fuzzy
Classification Fusion of Multiple SVMs for Biomedical Data,” Special Issue on
Evolutionary Computing in Bioinformatics, Journal of Intelligent and Fuzzy Systems,
vol. 18, no.
6, pp. 527-541, 2007.
10. Y.C. Tang, Y.-Q. Zhang and Z. Huang, “Development of Two-Stage SVM-RFE Gene Selection Strategy for
Microarray Expression Data Analysis,” IEEE/ACM Transactions on
Computational Biology and Bioinformatics, vol. 4, no. 3, pp. 365-381,
July-September 2007.
11.
B. Jin, Y.-Q. Zhang and B.H. Wang, “Granular
Kernel Trees with Parallel Genetic Algorithms for Drug Activity Comparisons,” International Journal of Data Mining and
Bioinformatics, vol. 1, no. 3, pp.
270-285, 2007.
12. Y.-Q. Zhang and X.H.
Wan, “Statistical Fuzzy Interval Neural Networks for Currency Exchange Rate
Time Series Prediction,” Special Issue on Soft Computing for Time Series
Prediction, Applied Soft Computing, vol. 7, no. 4, pp. 1145-1234,
August 2007.
13. L. Gu and Y.-Q. Zhang, “Web Shopping Expert Systems Using New Interval Type 2
Fuzzy Reasoning,” Special Issue on Web Intelligence and Chance Discovery, Soft
Computing - A Fusion of
Foundations, Methodologies and Applications, vol. 11, no. 8, pp.
741-751, June 2007.
14. B. Jin, Y.C. Tang and
Y.-Q. Zhang, “Support Vector Machines with Genetic Fuzzy Feature Transformation
for Biomedical Data Classification,” Special Issue on Advances in Fuzzy Logic, Information
Sciences, vol. 177, no. 2, pp.
476-489, 2007.
15. Y.C. He, Y.C. Tang,
Y.-Q. Zhang and R. Sunderraman, “Adaptive Fuzzy
Association Rule Mining for Effective Decision Support in Biomedical
Applications,” International Journal of Data Mining and Bioinformatics,
vol. 1, no. 1, pp. 3-18, 2006.
16. H.B. Wang, F. Smarandache,
Y.-Q. Zhang and R. Sunderraman, “Interval Neutrosophic Logic,” Advances
in Fuzzy Sets and Systems, vol. 1, no. 3, pp. 187-218, Oct. 2006.
17. B. Jin and Y.-Q. Zhang, “Evolutionary Construction of
Granular Kernel Trees for Cyclooxygenase-2 Inhibitor Activity Comparison,” LNCS
Transactions on Computational Systems Biology, vol. V, pp. 25-35, 2006.
18. H.B. Wang, Y.-Q. Zhang and R. Sunderraman,
“Soft Semantic Web Services Agent,” Soft Computing - A Fusion of Foundations, Methodologies and
Applications, vol. 10, no. 11,
pp. 1021-1029, Sept. 2006.
19. T. Surdilovic and Y.-Q.
Zhang, “Convenient intelligent cursor
control web systems for Internet users with severe motor-impairments,” Special
Issue on Health and the Internet for
All, International Journal of Medical Informatics, vol. 75,
Issue 1, pp. 86-100, Jan. 2006.
20. Y.-Q. Zhang, “Constructive Granular Systems with Universal
Approximation and Fast Knowledge Discovery,” IEEE Transactions on Fuzzy
Systems, vol. 13, no. 1, pp. 48-57, Feb. 2005.
21. L.X. Yu and Y.-Q. Zhang, “Evolutionary
Fuzzy Neural Networks for Hybrid Financial Prediction,” Special Issue on Knowledge Extraction and
Incorporation in Evolutionary Computation,
IEEE
Transactions on Systems, Man, And Cybernetics (Part C: Applications and Reviews,
vol. 35, no. 2, pp. 244-249, May 2005.
22. Y.C. Tang, B. Jin and Y.-Q. Zhang, “Granular
Support Vector Machines with Association Rules Mining for Protein Homology
Prediction,” Artificial Intelligence in Medicine, Special Issue on
Computational Intelligence Techniques in Bioinformatics, vol. 35, no. 1-2, pp.
121-134, Sept.-Oct. 2005.
23. X.J. Chen, R. Harrison
and Y.-Q. Zhang, “Multi-SVM Fuzzy Classification and Fusion Method and
Applications in Bioinformatics,” Special Issue on Computational Intelligence
for and Bioinformatics, the Journal of Theoretical and Computational Nanoscience, vol.
2, no. 4, pp. 514–52, Dec. 2005.
24. H.B. Wang, P. Madiraju,
Y.-Q. Zhang and R. Sunderraman,
“Interval Neutrosophic Sets,”
International Journal of Applied Mathematics &
Statistics, vol. 3, no. M05, pp. 1-18, March 2005.
25. T.M. Dave, Y.-Q. Zhang, G. Scott Owen and Raj Sunderraman, “Intelligent Web Agents for a 3D Virtual
Community,” International Journal for Infonomics,
Issue 1, pp. 38-49, Jan. 2005.
26. F.Y. Liu, H.L. Geng and Y.-Q. Zhang, “Interactive Fuzzy
Interval Reasoning for Smart Web Shopping,” Applied Soft Computing,
vol. 5, no. 4, pp. 433-439, July 2005.
27. Y.-Q. Zhang and A. Kandel, “Fuzzy Moves Using Compensatory Granular Reasoning,” the
International Journal of Computational Intelligence and Applications,
vol. 3, no. 3, pp. 249-263, Sept., 2003.
28. R. Issolah and Y.-Q. Zhang, “A Fuzzy Web Intelligence
Application: Web-based Fuzzy Expert Agents for Online Learning Evaluation,” the International
Journal of Neural Parallel and Scientific Computation, vol. 11, no. 1&2, pp. 83-96, March&June,
2003.
29. Y.-Q. Zhang, “Folded-Crossed Hypercube: A Complete Interconnection
Network,” Journal of System Architecture, vol. 47, no. 11, pp. 917-922,
May 2002.
30. Y.-Q. Zhang,
31. Y.-Q. Zhang, M.D. Fraser, R.A. Gagliano
and A. Kandel, “Granular
Neural Networks for Numerical‑Linguistic Data Fusion and Knowledge
Discovery,” IEEE Transactions on Neural Networks, Special Issue on
Neural Networks for Data Mining and Knowledge Discovery, vol. 11, no. 3,
pp. 658‑667, May 2000.
32. M. Ma, Y.-Q. Zhang, G. Langholz
and A. Kandel, “On
Direct Construction of Fuzzy Systems,” Fuzzy Sets and Systems, vol. 112,
pp. 165‑171, 2000.
33. G.S. Owen, R. Sunderraman
and Y.-Q. Zhang, “The Development of a Digital Library to Support the Teaching
of Computer Graphics and Visualization,” Computers & Graphics, vol. 24,
no. 4, pp. 623-627, Aug.2000.
34. Y.-Q. Zhang and A. Kandel, “Fuzzy Moves Using
35. A. Kandel, Y. Luo and Y.-Q. Zhang, “Stability
Analysis of Fuzzy Control Systems,” Fuzzy Sets and Systems, Vol. 105,
No. 1, pp. 33‑48, 1999.
36. I.B. Turksen, A. Kandel and Y.-Q. Zhang, “
37. Y.-Q. Zhang and A. Kandel, “Compensatory Neurofuzzy
Systems with Fast Learning Algorithms,” IEEE Transactions on Neural Networks,
vol. 9, no. 1, pp. 83‑105, Jan. 1998.
38. I.B. Turksen, A. Kandel and Y.-Q. Zhang, “Universal
Truth Tables and
39. Y.-Q. Zhang and A. Kandel, “Primary‑Fuzzy‑Sets‑Based
40. Y.-Q. Zhang and A. Kandel, “Compensatory FDNF‑FCNF Neurofuzzy
Systems for Fuzzy Games,” The International Journal of Intelligent
Automation and Soft Computing, vol. 4, no. 2, pp. 131‑145, 1998.
41. Y.-Q. Zhang and A. Kandel, “Compression and Expansion of Fuzzy Rules by Using
Crisp‑Fuzzy Neural Networks,” Cybernetics and Systems: An International
Journal, vol. 29, no. 1, pp. 5‑34, Jan. 1998.
42. A. Kandel and Y.-Q. Zhang, “Intrinsic Mechanisms and Application Principles of
General Fuzzy Logic Through Yin‑Yang Analysis,” Information Sciences,
vol. 106, pp. 87‑104, 1998.
43. A. Kandel, Y.-Q. Zhang and
44. A. Kandel, Y.-Q. Zhang and
M. Henne, “On
Use of Fuzzy Logic Technology in Operating Systems,” Fuzzy Sets and Systems,
vol. 99, no. 3, pp. 241‑251, 1998.
45. A. Kandel and Y.-Q. Zhang, “Fuzzy Moves,” Fuzzy Sets and Systems, vol. 99, no.
3, pp. 159‑177, 1998.
46. Y.-Q. Zhang and A. Kandel, “Fuzzy CPU Scheduling,” International Journal of
Artificial Intelligence Tools, vol. 6, no. 3, pp. 211‑225, 1997.
47. Y.-Q. Zhang and A. Kandel, “Efficient and Reasonable Precise Decision Systems for
Fuzzy Moves,” (Special Issue on Neuro‑Fuzzy
Systems), Fuzzy Systems & A.I., vol. IV, no. 3, pp. 3‑18, 1997.
48. Y.-Q. Zhang and A. Kandel, “An Efficient Hybrid Direct‑Vague Fuzzy Moves
System Using Fuzzy‑Rules‑Based Precise Rules,” Expert Systems with Applications,
vol.13, no.3, pp. 179‑189, Dec. 1997.
49. A. Kandel, Y.-Q. Zhang and
T. Miller, “Knowledge Representation by Conjunctive Normal Forms
and Disjunctive Normal Forms Based on n‑variable‑m‑dimensional
Fundamental Clauses and Phrases,” Fuzzy Sets and Systems, vol. 76, pp.
73‑89, 1995.
50. W.Q. Yao, X.R. Zhang and Y.-Q. Zhang, “Optimization
and Implementation of the Hypercube Architecture,” Computer Engineering
and Applications, no. 5-6, pp. 29-34, 1994 (in Chinese).
51. W.Q. Yao, X.R. Zhang and Y.-Q. Zhang, “The Design of A
Hybercube Structure Distributed Computer System,” Journal
of Tianjin University, vol. 27, no. 5, pp. 576-582, Sept.
1994 (in Chinese).
52. Y.-Q. Zhang, “Universal
Fundamental Field Theory and Golden Taichi 统一元场论与黄金太极,” Special Issue 3, Chinese Qigong, pp.
242-248, 1992 (in Chinese).
53. Y.-Q. Zhang, “Fuzzy Information Retrieval,” Computer
Research and Development, vol. 25, no. 10, pp. 35‑38, 1988 (in
Chinese).
54. Y.-Q. Zhang, “Research in Fuzzy Relational Databases,”
Computer Research and Development, vol. 24, no. 8, pp. 57‑60,
1987 (in Chinese).
55. Y.-Q. Zhang, “On Distributed Fuzzy Relational
Databases,” Microcomputers, vol. 7, no. 3, pp. 42-49, 1987 (in
Chinese).
56. Y.-Q. Zhang, “3C Technology for Intelligent Aviation
and Space Navigation,” Journal of Space Navigation, 1985 (in
Chinese).
1. H.L. Hou, Y. Chen, Y.-Q. Zhang and R. Beyah, “Filtering Spam by Using Factors Hyperbolic Trees,” Proc. of IEEE Globecom 2008 Computer and Communications Network Security Symposium (GC'08 CCNS), Nov. 30- Dec. 4, 2008.
2. N. Hiremath and Y.-Q. Zhang, “SenMinCom: Pervasive Distributed Dynamic Sensor Data Mining for Effective Commerce,” Proc. of 2008 IEEE International Conference on Granular Computing (IEEE-GrC2008), Aug. 26-Aug. 28, 2008.
3. Z.J. Ding, Y. Feng, Y. G. Zheng, and Y.-Q. Zhang, “Granular Decision Fusion Systems for Effective Protein Methylation Predication,” Proc. of 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Sun Valley, Sept. 15-17, 2008.
4. Y. Chen, H.L. Hou, and Yan-Qing Zhang, “A Personalized Semantic Web Search Agent Using Fuzzy Semantic Trees and Genetic Algorithms,” NAFIPS 2008, New York, May 19-22, 2008.
5. Anjum Reyaz-Ahmed and Y.-Q. Zhang, “A New SVM-Based Decision Fusion Method Using Multiple Granular Windows for Protein Secondary Structure Prediction,” Proc. of the Third International Conference on Rough Sets and Knowledge Technology (RSKT2008), Chengdu, May 17-19, 2008.
6. Z.J.
Ding, J. Yu, and Y.-Q. Zhang, “A
New Improved K-means Algorithm with Penalized Term,” Proc. of 2007 IEEE International Conference on Granular
Computing (IEEE-GrC2007), Nov. 2-4,