Curriculum Vitae of Chien-Chung Chan

 

Office Address

Department of Computer Science

University of Akron

Akron, OH 44325-4003

Office: CAS 227

Phone: +1-330-972-8014

Fax: +1-330-374-8630

e-mail: chan@uakron.edu

      Website: http://www.cs.uakron.edu/~chan

Education

University of Kansas, Ph.D. of Computer Science, 1989

University of Kansas, Master of Computer Science, 1984

Taipei Institute of Technology, Electrical Engineering, Diploma, 1978

 

Research Interests

AI, NLP, Information Retrieval, Data Mining, and Machine Learning

 

Teaching Interests

Information Retrieval

Artificial Intelligence, Expert Systems

Data Mining, Big Data

 

Professional Experience

Aug. 2001 – present: Professor of Computer Science

Sept. 2015 – June 2016: Visiting Research Scientist, ZL Technology Inc., San Jose, CA.

July 2009 – Dec. 2011: Chair of Computer Science Department

Aug. 2007 – July 2008: Visiting Professor, Asia University, Wufeng, Taiwan; Kainan University, Taoyuang, Taiwan.

Jan. 2000 – Aug. 2001: System architecture consultant, ZyxBio Company, Cleveland, Ohio

Aug. 1994 – Aug. 2001:  Associate Professor of Computer Science

June 1998 – Aug. 1999: Chief System architect and developer, Art-Van company, Taipei, Taiwan

Aug. 1989 – Aug. 1994:  Assistant Professor of Mathematical Sciences

June 1980 – June 1982: Electrical Engineer, China Steel Corporation, Taiwan

 

 

 

 

 

Publications

Editors:

·      Peters, J.F., C.-C. Chan, J.W. Grzymala-Busse and W.P. Ziarko (2011). Guest editors. Special Issue: A Rough Set Approach to Data Mining. International Journal of Intelligent Systems, Vol. 26, Issue 6, pages 497-590, June 2011, Wiley.

·      Chan, C.-C., J.W. Grzymala-Busse and W.P. Ziarko (2011). Guest editors. Transactions on Rough Sets, Lecture Notes in Computer Science, Vol. 6499, 2011, 277 p., Springer. ISBN: 978-3-642-18301-0.

·      Chan, C.-C., J.W. Grzymala-Busse and W.P. Ziarko (2008). Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2008, Akron, OH, USA, October 23 - 25, 2008. Lecture Notes in Artificial Intelligence (LNAI), Vol. 5306, 532 p., Springer. ISBN: 978-3-540-88423-1.

 

Book Chapters:

1.     Srinivasan, A. and C.-C. Chan (2020). “Knowledge Engineering from Email Archives,” pp. 20. (To appear Encyclopedia of Complexity and Systems Science, Springer.)

2.     Wakade, S., Liska, K.J., and Chan, C.-C. (2013), “Application of Learning Algorithms to Image Spam Evolution,” in Emerging Paradigms in Machine Learning, eds. S. Ramanna, L. Jain and R. J. Howlett, 2013, Springer, New York, Smart innovation, Systems and Technologies, vol. 13, pp. 471-495, ISBN 978-3-642-28698-8.

3.     Liszka, K. J., Chan, C.-C., and Shekar, C. (2011). “Detecting pharmaceutical spam in microblog messages,” in Social Network Mining, Analysis and Research Trends: Techniques and Applications, eds. I-Hsien Ting, Tzung-Pei Hong and Leon S.L. Wang, IGI Global publication, New York, 2011, pp. 101-115.

4.     Konduri, A. and C.-C. Chan (2010), “Predicting similarity of web services using WordNet, “, in Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, eds. Leon S.-L. Wang and T.-P. Hong, IGI Global publication, Hershey, New York, 2010. ISBN: 978-161692282-5.

5.     Chan, C.-C. and J.W. Grzymala-Busse (1998), "On the lower boundaries in learning rules from examples," in Incomplete Information: Rough Set Analysis (pp. 58-74), Ewa Orlowska (Ed.), Physica-Verlag, Heidelberg.

6.     Batur, C., C.-C. Chan, and A. Srinivasan (1997), "Fuzzy model based fuzzy predictive controller," in METHODS AND APPLICATIONS OF INTELLIGENT CONTROL (pp. 173-196), Spyros G. Tzafestas (Ed.), Kluwer Academic Publishers.

 

Journals:

  1. Nguyen, H., Richards, R., Chan, C.-C., and Liszka, K.J. (2016), “RedTweet: recommendation engine for Reddit,” The Journal of Intelligent Information Systems, Springer. Published online: May 10, 2016. doi:10.1007/s10844-016-0410-y
  2. Chen, Y., Wang, S., Chan, C.-C., Gandhi, T. (2014), “What drives patient satisfaction? A rough set approach,” International Journal of Healthcare Technology Management (IJHTM), Vol. 14, No. 4, 2014, pp. 254 - 271.
  3. Ravula, R. R., Liszka, K. J., and Chan, C.-C. (2013), “Learning Attack Features from Static and Dynamic and Static Analysis of Malware,” Knowledge Discovery, Knowledge Engineering, and Knowledge Management, Fred, A.; Dietz, J.L.G.; Liu, K.; Filipe, J. (Eds.), Communications in Computer and Information Science Vol. 348, 2013, pp. 109-125, Springer –Verlag Berlin Heidelberg.
  4. Chan, C.-C. and K. J. Liszka (2012), “Application of Rough Set Theory to The Analysis of Micro-blogging Data,” Intelligent Systems Reference Library, Andrzej Skowron, Zbigniew Suraj (Eds.), ISRL 43, pp. 185 - 202, 2012, Springer, ISBN 978-3-642-30340-1.
  5. Chan, C.-C. and G.-H. Tzeng (2011), “Bit-Vector Representation of Dominance-Based Approximation Space,” Transactions on Rough Sets, Vol. 13, (LNCS Vol. 6499), pp. 1 – 16, Springer –Verlag Berlin Heidelberg.
  6. Ou Yang, Y.-P., H.-M. Shieh, G.-H. Tzeng, L. Yen and C.-C. Chan (2009), “Combined rough sets with flow graph and formal concept analysis for business aviation decision-making,” The Journal of Intelligent Information Systems, Springer, November 12, 2009. ISSN: 0925-9902 (Print) 1573-7675 (Online). DOI: 10.1007/s10844-009-0110-y. J Intell Inf Syst (2011) 36:347–366.
  7. Chan, C.-C. and G.-H. Tzeng (2009), “Dominance-Based Rough Sets Using Indexed Blocks as Granules,” Fundamenta Informaticae, Vol. 94, No. 2, 2009, pp. 133-146.
  8. Huang, C.-Y., G.-H. Tzeng, C.-C. Chan and H.-C. Wu (2009), “Semiconductor Market Fluctuation Indicators and Rules Derivations by using the Rough Set Theory,” Int. Journal of Innovative Computing, Information and Control, Vol. 5, No. 6, June, 2009, pp. 1485-1503.
  9. Chan, C.-C. (2004), “Learning rules from very large databases using rough multisets,” LNCS Transactions on Rough Sets, (J. Peters, A. Skowron, J.W. Grzymala-Busse, B. Kostek, R.W. Swiniarski, M. Szczuka Eds.), Vol. 1, pp. 59 – 77, Springer –Verlag Berlin Heidelberg, 2004. 

10.  Xu, T.H., Y.J. Lin, and C.-C. Chan (2003), “A web-based product modelling tool – a preliminary development,” Int. J. of Advanced Manufacturing Technology, 21: 669-677, 2003.

11.  Chan, C.-C. (1998), "A rough set approach to attribute generalization in data mining," Journal of Information Sciences, 107, pp. 169 - 176, 1998.

12.  Batur, C., A. Srinivasan, and C.-C. Chan (1995), "Fuzzy model based fuzzy predictive controllers," Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, Vol. 3, No. 2, pp. 117 - 130, 1995.

13.  Chan, C.-C. and J.W. Grzymala-Busse (1994), "On the two local inductive algorithms: PRISM, and LEM2," Foundations of Computing and Decision Sciences, Vol. 19, No. 3, 185-203, 1994.

14.  Srinivasan, A., C. Batur, and C.-C. Chan (1993), "Using inductive learning to determine fuzzy rules for dynamic systems," Int. J. of Engineering Applications of Artificial Intelligence, Vol. 6, No. 3, pp. 257 - 264, 1993.

15.  Chan, C.-C. (1991), "Incremental learning of production rules from examples under uncertainty: a rough set approach," Int. J. of Software Engineering and Knowledge Engineering, Vol. 1, No. 4, pp. 439 - 461, 1991.

16.  Batur, C., A. Srinivasan, and C.-C. Chan (1991), "Automated rule based model generation for uncertain complex dynamic systems," Int. J. of Engineering Applications of Artificial Intelligence, Vol. 4, No. 5, pp. 359 - 366, 1991.

 

Conference Proceedings and Reports:

1.     Srinivasan, A., Chan, C.-C. (2019), “Short Secret Sharing Using Repeatable Random Sequence Generators,” submitted to IEEE Symposium on Security and Privacy 2020.

2.     Chan, C.-C., Chen Ling, Shengyong Wang, and Sai Prajeeth Annamgari (2018), Technical Training Knowledge Architecture (FAA Project #19), 16-C-TTHP-UA-004, July 2018, 17 pages.

3.     Chan, C.-C., Chen Ling, Shengyong Wang, Sai Prajeeth Annamgari, and L. P. Lolla (2018), Curriculum Architecture Gap Analysis (FAA Project #5), 16-C-TTHP-UA-002, November 2018, 37 pages.

4.     Chan, C.-C., Srinivasan, A. and Baone, G. (2016), “Application of probabilistic rough sets to Email segmentation,” extended abstract, 2016 Int. Joint Conf. on Rough Sets (IJCRS), Santiago, Chile, Oct. 7 – 11, 2016.

5.     Kim, YeKung, Liszka, K.J. and Chan, C.-C. (2016), “Using DroidDream Android Malware Behavior for Identification of Other Android Malware Familites,” Proceedings of the International Conference on Security and Management (SAM) 2016, pp. 286-291.

6.     Jamonnak, S., Kilgallin, J., Chan, C.-C., Cheng, E. (2015),Recommenddit: A Recommendation Service for Reddit Communities,” Proceedings of 2015 IEEE International Conference on Computational Science and Computational Intelligence (CSCI), Dec. 7 – 9, 2015, Las Vegas, NV, USA, pp. 374 – 379.  http://dx.doi.org/10.1109/CSCI.2015.64

7.     Nguyen, H., Richards, R., Chan, C.-C., and Liszka, K.J. (2015), “RedTweet: recommendation engine for Reddit,” Proceedings of 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ‘15), August 25 – 28, 2015, Paris, France, pp. 1381 – 1388.

8.     Michaud, H., Liszka, K. J., and Chan, C.-C. (2014), “Application of Data Mining to Learning Assessment,”  Proceedings of International Conference on Education, Psychology, and Social Sciences (ICEPS 2014), Taipei, Taiwan, August 6 – 8, 2014.

9.     Chang, F.M. and Chan, C.-C. (2013), “Computation of Maximal Characteristic Neighborhoods for Incomplete Information Systems,”  Proceedings of IEEE SMC Conference, Manchester, UK, October 13 – 16, 2013, pp. 818-822.

10.  Apala, K.R., Jose, M., S. Motnam, S., Chan, C.-C., Liszka, K.J. and de Gregorio, F. (2013), “Prediction of Movies Box Office Performance Using Social Media,” Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ‘13), August 25 – 29, 2013, Niagara, Ontario, Canada, pp. 1209 – 1214.

11.  Liszka, K.J., Chan, C., Collard, M.L., Guarnera, D., and Bordo, N. (2013), “Cloud Computing in the Curriculum: A Current Perspective,” The 2013 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'13), pp. 268-274.

12.  Huang, F., Wang, S., Chan, C.-C. (2012), “Predicting Disease by Using Data Mining Based on Healthcare Information System,” Proceedings of IEEE Granular Computing 2012, HangZhou, China, August 11-13, 2012, pp. 221-224.

13.  Chan, C.-C. (2012), “Maximal Characteristic Sets and Neighborhoods Approach to Incomplete Information Systems,” Proc. of the 8th Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC 2012), Aug. 17-20, 2012, Chengdu, China. LNAI Vol. 7413, pp. 73-82, Springer 2012.

14.  Liszka, K. J., Chan, C.-C., Shekar, C., and Wakade, S. (2012), “Text Mining for Sentiment Analysis of Twitter Data,” 2012 International Conference on Information and Knowledge Engineering, (IKE'12), pp. 109-114.

15.  Ravula, R. R., Liszka, K. J., and Chan, C.-C. (2011), “Dynamic Analysis of Malware Using Decision Trees,” International Conference on Knowledge Discovery and Information Retrieval, KDIR 2011, October 2011, pp. 74-83.

16.  Chen, Y., Wang, S., and Chan, C.-C. (2011), “Application of Rough Sets to Patient Satisfaction Analysis,” The 11th International DSI and the 16th APDSI Joint Meeting, Taipei, Taiwan, July 12 – 16, 2011, pp. 94 - 100.

17.  Chang, F. M., Chan, C.-C. and Lin, E. (2011), “Comparisons of Decision Methods for Order Quantity Forecasting in a Mechanic Company,” The 11th International DSI and the 16th APDSI Joint Meeting, Taipei, Taiwan, July 12 – 16, 2011, pp. 235 - 240.

18.  Shekar, C., Liszka, K. J., and Chan, C.-C. (2011), “Twitter on Drugs: Pharmaceutical Spam in Tweets,” The 2011 International Conference on Security and Management (SAM'11), July 2011, pp. 193-198.

19.  Wakade, S., Bruen, R., Liszka, K. J., and Chan, C.-C. (2011), “Following the Trail of Image Spam,” The 2011 International Conference on Security and Management (SAM'11), July 2011, pp. 436-441.

20.  Liszka, K. J., Chan, C.-C., Shekar, C., and Wakade, S. (2010). Mining pharmaceutical spam from Twitter, International Conference on Intelligent Systems and Applications (ISDA 2010), November, 2010, pp. 813-817.

21.  Chan, C.-C., Khasawneh, N., and Chang, F. M. (2010). “Incremental updates of dominance-based approximations,” Proceedings of IEEE SMC Conference, Istanbul, Turkey, October 2010, pp. 373-378.

22.  Chan, C.-C., C. Chen and V. Garipapati (2010), “Finding value reducts using rough multisets,” Proceedings of IEEE Granular Computing 2010, San Jose, California, USA, August 14-16, 2010, pp. 85-89.

23.  Burji, S., K. J. Liszka and C.-C. Chan (2010), “Malware analysis using reverse engineering and data mining tools,” Proceedings of 2010 International Conf. on System Science and Engineering (ICSSE 2010), Taipei, Taiwan, July 1 – 3, 2010, pp. 619 – 624. http://dx.doi.org/10.1109/ICSSE.2010.5551719

24.  Chan, C.-C. and F.M. Chang (2009), “On definability of sets in dominance-based approximation space,” Proceedings of IEEE SMC Conference, San Antonio, TX, October 2009, pp. 3032-3037.

25.  Chang, Fengming M. and C.-C. Chan (2009), “A granular computing approach to improve large attributes learning,” Proceedings of IEEE SMC Conference, San Antonio, TX, October 2009, pp. 2595-2599.

26.  Chan, C.-C. and G.-H. Tzeng (2009), “Representation of second-order dominance-based approximation space by neighborhood systems,” Proceedings of IEEE Granular Computing 2009, Nanchang, China, August 17-19, 2009, pp. 33-38.

27.  Chan, C.-C. (2009), “Learning rules from multiple criteria decision tables,” The 22nd Int. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2009), June 24-27, 2009, Tainan City, Taiwan. Studies in Computational Intelligence, Vol. 214, pp. 241-246, Springer 2009. ISBN: 978-3-540-92813-3. DOI: 10.1007/978-3-540-92814-0_37.

28.  Yedida, V., C.-C. Chan and Z.-H. Duan (2008), Protein function prediction using decision trees,” Bioinformatics and Biomedicine Workshops, BIBMW 2008. IEEE Int. Conf., Nov. 3-5, 2008, Philadelphia, PA, USA, pp. 193-199. ISBN: 978-1-4244-2890-8. Digital Object Identifier: 10.1109/BIBMW.2008.4686235.

29.  Ou Yang, Y.-P., H.-M. Shieh, G.-H. Tzeng, L. Yen and C.-C. Chan (2008), “Business aviation decision-making using rough sets,” Proc. of the 6th Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC 2008), Oct. 23-25, 2008, Akron, Ohio, USA. LNAI Vol. 5306, pp. 329-338, Springer 2008. ISBN: 978-3-540-88423-1.

30.  Chan, C.-C. and G.-H. Tzeng (2008), “Computing approximations of dominance-based rough sets by bit-vector encodings,” Proc. of the 6th Int. Conf. on Rough Sets and Current Trends in Computing (RSCTC 2008), Oct. 23-25, 2008, Akron, Ohio, USA. LNAI Vol. 5306, pp. 131-141, Springer 2008. ISBN: 978-3-540-88423-1.

31.  Chang, Fengming M. and C.-C. Chan (2008), “Improve neuro-fuzzy learning by attribute reduction,” Proceedings of IEEE NAFIPS 2008, Int. Conf. of the North American Fuzzy Information Processing Society, May 19-22, 2008, New York, New York.

32.  Chang, Fengming M. and C.-C. Chan (2008), “A granular computing approach to data engineering,” Proceedings of IEEE SMC 2008, Int. Conf. of Systems, Man, and Cybernetics, Singapore, Oct. 12-15, pp. 2753-2758.

33.  Chan, C.-C. (2008), “Approximate dominance-based rough sets using equivalence granules,” Proceedings of IEEE WCCI 2008, IEEE World Congress on Computational Intelligence, June 1 – 6, Hong Kong, pp. 2433-2438. ISBN: 978-1-4244-1818-3. Digital Object Identifier: 10.1109/FUZZY.2008.4630709.

34.  Chan, C.-C. and G.-H. Tzeng (2008), “Dominance-Based Rough Sets Using Indexed Blocks as Granules,” The 3rd International conference on Rough Sets and Knowledge Technology (RSKT 2008), May 17-19, 2008, Chengdu, China. Lecture Notes in Computer Science, Vol. 5009, pp. 244 – 251, Springer 2008. ISBN 978-3-540-79720-3.

35.  Chan, C.-C. (2007), “A Web-Based Knowledge Engineering and Management System,” Proceedings of the 2007 National Computer Symposium of Taiwan, December 20 – 21, 2007, Wufeng, Taichung, Taiwan, Vol. 1, pp. 555-559.

36.  Konduri, Aparna and C.-C. Chan (2007), “Clustering of Web Services Based on WordNet Semantic Similarity,” Proceedings of the 2007 National Computer Symposium of Taiwan, December 20 – 21, 2007, Wufeng, Taichung, Taiwan, Vol. 3, pp. 868 – 877.

37.  Khasawneh, N. and C.-C. Chan (2007),Multidimensional Sessions Comparison Method Using Dynamic Programming,” Proceedings of the 4th International Conference on Innovations in Information Technology, November 18-20, 2007, Dubai, United Arab Emirates, pp. 581-585. ISBN: 978-1-4244-1840-4. Digital Object Identifier: 10.1109/IIT.2007.44304.

38.  Seelam, Uday and C.-C. Chan (2007), “A study of data reduction using multiset decision tables,” Proceedings of IEEE Granular Computing 2007, November 2 – 4, 2007, San Jose, USA, pp. 362-367.

39.  Chan, C.-C. (2007), “A Framework for Assessing Usage of Web-Based e-Learning Systems,” Proceedings of IEEE ICICIC 2007, September 4 – 7, 2007, Kumamoto, Japan. ISBN 0-7695-2882-1 IEEE Catalog No. E2882, Library of Congress: 2007926989.

40.  Sewak, Mihir, Priyanka Vaidya, C.-C. Chan, and Zhong-Hui Duan (2007), “SVM Approach to Breast Cancer Classification,” Proceedings of The Second International Multi-Symposium on Computer and Computational Sciences (IMSCCS 2007), IEEE Computer Society Order Number E3039, ISBN 0-7695-3039-7, Library of Congress Number 2007934353, August 13 – 15, Iowa City, Iowa, USA, pp. 32 - 37.

41.  Chan, C.-C. and Shusaku Tsumoto (2007), “On Learning Decision Rules From Flow Graphs,” Proceedings of IEEE NAFIPS 2007, Int. Conf. of the North American Fuzzy Information Processing Society, June 24-27, San Diego, California, 2007.

42.  Khasawneh, N. and C.-C. Chan (2006), “Active user-based and ontology-based web log data preprocessing for web usage mining,” Proceedings of IEEE/WIC/ACM WI-2006, December 18-22, Hong Kong, 2006.

43.  Chan, C.-C. and Sivaraj Selvaraj (2006), “Distributed approach to feature selection from very large data sets using BLEM2,” NAFIPS 2006, Int. Conf. of the North American Fuzzy Information Processing Society, June 3-6, Montreal, Quebec, Canada, 2006. ISBN 0-7803-9188-8 IEEE Catalog No. 05TH8815C, Library of Congress: 2006924074.

44.  Shiao, Grace and C.-C. Chan, “Design of data analysis component for Microsoft SQL server 2000,” The University of Akron Conference on Undergraduate and Graduate Student Research, November 17, 2005, pp. 48.

45.  Chan, C.-C. and Zhicheng Su (2005), “From Data to Knowledge:  an Integrated Rule-Based Data Mining System,”  Proceedings of the 17th International Conference of Software Engineering and Knowledge Engineering, July 14 – 16, Taipei, 2005, pp. 508-513.

46.  Khasawneh, N. and C.-C. Chan (2005), “Web Usage Mining using Rough Sets,” NAFIPS 2005, Int. Conf. of the North American Fuzzy Information Processing Society, June 22-25, Ann Arbor, Michigan, pp. 580-585, ISBN 0-7803-9188-8 IEEE Catalog No. 05TH8815C.

47.  Gundavarapu, M. and C.-C. Chan, “Learning rules from databases using SQL,” The University of Akron Conference on Undergraduate and Graduate Student Research, October 21, 2004, pp. 41.

48.  Selvaraj, S. and C.-C. Chan, “Distributed approach for feature selection,” The University of Akron Conference on Undergraduate and Graduate Student Research, October 21, 2004, pp. 42.

49.  Ouhammou, A. and C.-C. Chan, “Bioinformatics data retrieval components,” The University of Akron Conference on Undergraduate and Graduate Student Research, October 21, 2004, pp. 43.

50.  Chan, C.-C. and S. Santhosh (2003), “BLEM2: Learning Bayes’ rules from examples using rough sets,” Proc. NAFIPS 2003, 22nd Int. Conf. of the North American Fuzzy Information Processing Society, July 24 – 26, 2003, Chicago, Illinois, pp. 187-190.

51.  Cheh, J.J. and C.-C. Chan, “Bankruptcy prediction by CART and LERS with quantification for data processing,” Proceedings AAA regional conference, 2003.

52.  Lei, H., C.-C. Chan and J.J. Cheh (2003), “Rule-based classifier for bankruptcy prediction,” Proc. 14th MidWest Artificial Intelligence and Cognitive Science Conference MAICS 2003, April 12 – 13, 2003, University of Cincinnati, Cincinnati, Ohio, pp. 74-81.

53.  Batur, C., L. Zhou and C.-C. Chan (2002), “Support vector machines for fault detection,” Proceedings of the 41st IEEE Control Design Conference,  ISBN# 0-7803-7516-5@2002IEEE, pp. 1355-1356, 2002.

54.  Lin, Y.J., T.H. Xu and C.-C. Chan (2002), “A web-based product modeling tool – a preliminary development,” Proc. 2002 Japan-USA Symposium on Flexible Automation, International Conference on New Technological Innovation for the 21st Century, Hiroshima, Japan, July 14 – 19, 2002, pp. 103-108.

55.  Chan, C.-C. (2002), “Learning rules from very large databases: a rough multiset approach,” Proc. Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2002, Annecy, France, July 1 – 5, 2002, pp. 235-242.

56.  Chan, C.-C. (2001), “Distributed incremental data mining from very large databases: a rough multiset approach,” Proc. the 5th World Multi-Conference on Systemics, Cybernetics and Informatics, SCI 2001, Orlando, Florida, July 22-25, 2001, pp. 517-522.

57.  Chan, C.-C., “How to set up an online store,” Proc. of Ohio Chinese American Professional Association Symposium 2001, Kent State University, Kent, Ohio, June 2 – 3, 2001, pp. 13.

58.  Chan, C.-C., L.K. Verma, N. Khasawneh, and S. Rahman (2001), “Generation of executable rule-based classifiers using Java Technology,”  Proc. 12th MidWest Artificial Intelligence and Cognitive Science Conference MAICS 2001, March 31 – April 1, 2001, Miami University, Oxford, Ohio, pp. 45-48.

59.  Khasawneh, N. and C.-C. Chan (2001), “Servlet-based implementation for rule-based classifiers,” Proc. 12th MidWest Artificial Intelligence and Cognitive Science Conference MAICS 2001, March 31 – April 1, 2001, Miami University, Oxford, Ohio, pp. 70-74.

60.  Rahman, S. and C.-C. Chan (2001), “A rule-based program generator using JESS,” Proc. 12th MidWest Artificial Intelligence and Cognitive Science Conference MAICS 2001, March 31 – April 1, 2001, Miami University, Oxford, Ohio, pp. 112-116.

61.  Verma, L.K., V. Kumar, S. Kumar and C.-C. Chan (2001), “SQL generated rule-based system,” Proc. 12th MidWest Artificial Intelligence and Cognitive Science Conference MAICS 2001, March 31 – April 1, 2001, Miami University, Oxford, Ohio, pp. 135-140.

62.  Chan, C.-C., "A rough set approach to attribute generalization in data mining," Proc. of Joint Conference of Information Sciences 1997, Research Triangle Park, North Carolina, March 1 – 5, 1997, pp. 391-394.

63.  Quafafou, M. and C.-C. Chan, "An Incremental Approach for Learning Fuzzy Rules from Examples," The Third European Congress on Intelligent Techniques and Soft Computing - EUFIT'95, Aachen, Germany, August 28-31, pp. 520-523, 1995.

64.  Batur, C., A. Srinivasan, and C.-C. Chan, "Inverse fuzzy model controllers," Proc. American Control Conference, pp. 772 - 776, 1993.

65.  Batur, C., A. Srinivasan, and C.-C. Chan, "Fuzzy model based fuzzy predictive controllers," Proc. of First Int. Conference on Fuzzy Theory & Technology, pp. 176 - 180, 1992.

66.  Batur, C., A. Srinivasan, and C.-C. Chan, "Automated rule based model generation for uncertain complex dynamic systems," Proc. 6th IEEE Int. Symposium on Intelligent Control, pp. 275 - 279, 1991.

67.  Chan, C.-C., Batur, C., and A. Srinivasan, "Determination of quantization intervals in rule-based models for dynamic systems," Proc. 1991 IEEE Int. Conf. on Systems, Man, and Cybernetics, Charlottesville, VA, Oct. 13 - 16, pp. 1719 - 1723, 1991.

68.  Chan, C.-C. and J.W. Grzymala-Busse, "Rough-set boundaries as a tool for learning rules from examples," Proc. 4th Int. Symposium on Methodologies for Intelligent Systems, Charlotte, N.C., Oct. 12 - 14, pp. 281 - 288, 1989.

 

Presentations/Talks

·      Chan, C.-C., “Application of probabilistic rough sets to Email segmentation,” 2016 Int. Joint Conf. on Rough Sets (IJCRS), Santiago, Chile, Oct. 9, 2016.

·      Chan, C.-C., “Big Data Platforms and Technologies for Social Media,” National University of Kaohsiung, Kaohsiung, Taiwan, April 7, 2016.

·      Chan, C.-C., “Granular Computing Approach to Multiple-Criteria Decision Analysis,” June 25, 2009, Institute of Information Science, Academia Sinica, Taipei, Taiwan.

·      Chan, C.-C., “Data Mining Using Rough Sets,” Workshop on Data Mining and Health Care, Asia University, Wufeng, Taichung, Taiwan, April 1, 2008.

·      Chan, C.-C., “Web Usage Mining Using BLEM2,” Institute of Information Science, Academia Sinica, Taipei, Taiwan, December 27, 2006.

·      Chan, C.-C., “From Data to Knowledge: Data Mining using Rough Sets,” July 19, 2005, Institute of Information Science, Academia Sinica, Taipei, Taiwan.

·      Chan, C.-C., "Rough set theory and its applications," CS Seminars, Spring 2000, Department of Math and CS, University of Akron.

·      Chan, C.-C., "Knowledge discovery in databases," CS Seminars, Fall 1999, Department of Math and CS, University of Akron.

·      Chan, C.-C., "Incremental learning of certain and possible rules from examples," Workshop on rough sets and database mining, Computer Science Conference, Nashville, Tenn., March, 1995.

 

Grants and Awards

·      Chan, C.-C., Chen Ling, and Shengyong Wang, Curriculum Architecture Gap Analysis (FAA Project #5), 16-C-TTHP-UA-002, 9/29/2017 – 9/26/2018, $45,000

·      Chan, C.-C., Chen Ling, and Shengyong Wang, Technical Training Knowledge Architecture (FAA Project #19), 16-C-TTHP-UA-004, 9/9/2017 – 5/9/2018, $34,500

·      Chan, C.-C., K.J. Liszka, M. Collard, Mash-ups in the Cloud: Akron Model, Diebold grant, $51,000, June 2012 – August, 2013.

·      Chan, C.-C. and Liszka, K.J., Undergraduate Student Assistantships, Austen BioInnovation Institute of Akron, $17,175, 1/10/2011 – 5/7/2011.

·      Chan, C.-C., Industrial Assistantship for Radhika Kanubaddhi, 1/10/2011-5/7/2011, Segmint Inc., $4,080.

·      Chan, C.-C., Industrial Assistantship for Siddhartha Shanti Kumar, 8/23/2010-12/10/2010, Segmint Inc., $3,859.

·      Chan, C.-C., Faculty Research Fellowship, The University of Akron, June – August, 2007.

·      Chan, C.-C., Integrated Rule-Based Data Mining Expert System, Goodyear grant, US$ 22,914, August 2006 – July 2007.

·      Chan, C.-C., Chair Research Award, Buchtel College of Arts and Sciences, 2004.

·      Chan, C.-C., IBM Scholar Program.

·      Yi, Ping, Tom Xiao, and C.-C. Chan, Smart Sign Ordering Systems, ODOT grant, US$68,000, Oct. 2000 – Sept. 2002.

·      OSC Cluster Ohio Grant, co-PI with Kathy Liszka, Jutta Luettmer-Strathmann, etc., June 2001.

·      Chan, C.-C., Faculty Research Fellowship, The University of Akron, June – August, 2000.

·      Chan, C.-C., C. Batur, and L. Krishna, NeuralWare Research Grant Program, US$99,500, 1998 April- 1999, April.

·      Xiao, Tom, A. Abonamah and C.-C. Chan, Microsoft Instructional Lab Grant, 1996-1998.

·      Chan, C.-C., NASA-ASEE Summer Faculty Fellowship, NASA Lewis Research Center, 1997.

 

Professional Memberships

IEEE-Computer Society

Association for Computing Machinery

 

Scholarly Activities

·      Program Committees: IEEE SMC 2012 - 2016, JRS 2012 - 2015, IJCRS 2016-2018, IEA/AIE 2012 - 2016, ASONAM 2012 - 2016, IEEE Grc 2012 – 2014, MISNC 2016-2018, KDIR 2016-2018, ISKE 2017-2018

·      Program Committees: IEEE SMC 2011, ISMIS 2011, RSKT 2011, ISKE 2011, IEA/AIE 2011, ASONAM 2011

·      Program Vice Chairs: IEEE Granular Computing 2010, San Jose, USA

·      Program Committee: The 7th international conference on Rough Sets and Current Trends in Computing (RSCTC 2010)

·      Program Committee: IEA/AIE 2010, ISKE 2010

·      Program Committee: KES 2009, Santiago, Chile

·      Program Committee: IEA/AIE 2009, Tainan, Taiwan

·      Program Committee: ISKE 2009, Int. Conf. on Intelligent Systems and Knowledge Engineering, Hasselt, Belgium

·      Conference General Chair: RSCTC 2008, Oct. 23-25, 2008, Akron, Ohio, USA

·      Program Committee: ISKE 2008, Xiamen, China

·      Program Committee: RSKT 2008, Chengdu, China.

·      Session Chair: 2007 Taiwan National Computer Symposium, Wufeng, Taiwan

·      Program Committee: IEEE Granular Computing 2007, San Jose, USA

·      Program Committee: ECML/PKDD 2007

·      Program Committee: Joint Rough sets Symposium (JRS 2007), Toronto, Canada

·      Program Committee: The fourth international conference on Rough Sets and Current Trends in Computing (RSCTC'2004, 2006)

·      Program Committee: The Tenth International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2005)

·      Program Committee:  Int. Conf. on Computing and Information, 1993-1995

·      Steering Committee: OCAPA (Ohio Chinese Academic and Professional Association), 1997

·      Reviewer for textbooks, journals and conferences

·      Ph.D. Dissertation Committees (over 20)

·      Direct undergraduate honors projects (over 10)

·      Direct Master's Theses/Projects in Computer Science (over 50)

·      Software systems developed: LEM2, LEM3, BLEM2, Rule-Based Data Mining System

·      Ongoing projects: SQL and web-based learning programs, optimization of inference engines for multi-value classifiers, integrated data mining systems

 

Courses Taught

Introduction to Computer Science, Data Structures and Algorithms I and II

Theory of Programming Languages, Artificial Intelligence, Database Management Systems, Web Intelligence, Unix System Programming

Expert Systems, Expert Systems in Control and Manufacturing, Advanced Database Management, Data Mining