Curriculum Vitae of Zdravko Markov

Degrees

Academic Experience

Teaching Experience

Undergraduate and graduate courses at CCSU

Courses taught at other universities

Supervising Capstone Projects in the CIT program at CCSU

Thesis committee member for the MS Program in Data Mining at CCSU

Ph.D. students

Visiting Fellowships

Programming Experience

Languages: MIPS Assembler, Pascal, VB 6.0, VB.Net, C/C++, Java, Prolog, Lisp, HDL Verilog.
Operating Systems: MSDOS, Windows, Unix, Linux.

Major Software Projects:

Projects & Grants

Principal investigator in:

Team member in:

Major research interests

Artificial Intelligence, Machine Learning, Data Mining, Web Mining, Logic Programming, Inductive Logic Programming.

Program Committees & Conferences Membership

Tutorials, Talks

Bibliography

Books, Book Chapters:

International Conference, Journal Papers, Editorials:

  1. Zdravko Markov. MDL-based Unsupervised Attribute Ranking, Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference (FLAIRS-26), St. Pete Beach, Florida, USA, May 22-24, 2013, AAAI Press 2013, pp. 444-449. PDF, FLAIRS-2013 Presentation.pdf
  2. Ingrid Russell, Susan Coleman, Zdravko Markov. A contextualized project-based approach for improving student engagement and learning in AI courses, Proceedings of Second Computer Science Education Research Conference (CSERC-12), ACM New York, NY, USA 2012, pp. 9-15, http://dl.acm.org/citation.cfm?id=2421278&CFID=238875681&CFTOKEN=58230559.
  3. Darina Dicheva, Zdravko Markov and Eliza Stefanova (Editors). Third International Conference on Software, Services and Semantic Technologies (S3T 2011), Advances in Intelligent and Soft Computing Volume 101, Springer, 2011, DOI: 10.1007/978-3-642-23163-6. (http://dx.doi.org/10.1007/978-3-642-23163-6)
  4. Ingrid Russell, Zdravko Markov, Joy Dagher: A contextualized project-based approach for improving student engagement and learning in AI courses. ITiCSE 2011: 368
  5. Russell, I., Z. Markov, T. Neller, M. and S. Coleman. MLeXAI: A Project-Based Application-Oriented Model. The ACM Transactions on Computing Education, TOCE 10(3), 2010.
  6. Russell, I., Z. Markov. A Multi-Institutional Project-Centric Framework for Teaching AI Concepts, 39th ASEE/IEEE Frontiers in Education Conference, October 18 - 21, 2009, San Antonio, TX.
  7. Rus, V., Russell, I., Markov, Z. (2009). MLxEAI: Biomedical Term Classification, The Journal of Computing Sciences in Colleges, 24(5), pages 85-92.
  8. Markov, Z., L. Holder, I. Jonyer, and D. Bisant (Guest Editors). Special Issue on FLAIRS 2007: Machine Learning, Data Mining and Neural Networks, International Journal of Artificial Intelligence Tools (IJAIT), Vol. 17, No. 3 (June 2008).
  9. Wallace, S., Ingrid Russell, and Zdravko Markov, Integrating Games and Machine Learning in the Undergraduate Computer Science Classroom, Microsoft Academic Days on Game Development in Computer Science Education (GDCSE'08), Aboard the Celebrity Century Cruise Ship, February 28 - March 3, 2008. (http://www.cs.ccsu.edu/~markov/papers/gdcse08.pdf)
  10. Neller T., Ingrid Russell, and Zdravko Markov, Throw Down an AI Challenge, Using AI to motivate greater participation in Computer Science, AAAI Spring Symposium, Stanford University, March 26 - 28, 2008. (http://www.cs.ccsu.edu/~markov/papers/aaaiss08.pdf)
  11. Holder, L., Z. Markov and I. Russell. Advances in Knowledge Acquisition and Representation, International Journal on Artificial Intelligence Tools (IJAIT), Vol. 15, No. 6 (2006) 867-874. (http://www.cs.ccsu.edu/~markov/papers/ijait06.pdf)
  12. Russell, I.,  Z. Markov and L. Holder (Guest Editors). Special Issue on FLAIRS 2005: Knowledge Acquisition and Representation, International Journal of Artificial Intelligence Tools (IJAIT), Vol. 15, No. 6 (December 2006).
  13. Neller T., Clifton G.M. Presser, Ingrid Russell, Zdravko Markov. Pedagogical Possibilities for the Dice Game Pig, Journal of Computing Sciences in Colleges, Vol. 21, no. 6, pp. 149-161, June 2006. (http://cs.gettysburg.edu/~tneller/papers/ccscne06.pdf)
  14. Markov, Z., I. Russell, T. Neller, N. Zlatareva. Pedagogical Possibilities for the N-Puzzle Problem, The procedings of the 36th Annual Frontiers in Education Conference (FIE 2006), San Diego, California, October 28 - 31, 2006. (http://www.cs.ccsu.edu/~markov/fie06.pdf)
  15. Russell, I., Z. Markov, T. Neller. Teaching Al through Machine Learning Projects, Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE06), June 26-28, 2006, Bologna, Italy, 323. (http://www.cs.ccsu.edu/~markov/iticse-p.pdf)
  16. Neller T., Zdravko Markov, Ingrid Russel. Clue Deduction: Professor Plum Teaches Logic, Proceedings of the 19th International FLAIRS Conference (FLAIRS-2006), Melbourne Beach, Florida, May 11-13, 2006, 214-219. (http://cs.gettysburg.edu/~tneller/papers/flairs06.pdf)
  17. Ingrid Russell, Zdravko Markov, Lawrence B. Holder, Diane Cook: The 2005 International Florida Artificial Intelligence Research Society Conference: A Report. AI Magazine 27(1): 109-113 (2006).
  18. Markov, Z., I. Russell, T. Neller, and S. Coleman. “Enhancing Undergraduate AI Courses through Machine Learning Projects”, Proceedings of the 35th ASEE/IEEE Frontiers in Education Conference, October 2005, Indianapolis, IN. (http://cs.gettysburg.edu/~tneller/papers/fie05.pdf)
  19. Russell, I., Z. Markov, T. Neller, M. Georgiopoulos and S. Coleman. Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences, Proceedings of the 25th American Society for Engineering Education Annual Conference and Exposition, Portland, Oregon, June 12-15, 2005, ASEE Press. (http://cs.gettysburg.edu/~tneller/papers/asee05.pdf)
  20. Ingrid Russell, Zdravko Markov (Editors): Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Clearwater Beach, Florida, USA, AAAI Press 2005.
  21. Ingrid Russell, Zdravko Markov, Brian Carse, Anthony G. Pipe, Lawrence B. Holder (Editorial). International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 19(2): 129-132 (2005).
  22. Lawrence B. Holder, Ingrid Russell, Zdravko Markov, Anthony G. Pipe, Brian Carse. Current And Future Trends In Feature Selection And Extraction For Classification Problems, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 19(2): 133-142 (2005). (http://www.cs.ccsu.edu/~markov/ijprai05.pdf)
  23. Zdravko Markov, Valerie Barr (Guest Editors). Special Issue on Selected Papers from the 17-th International FLAIRS Conference (FLAIRS-2004), International Journal of Artificial Intelligence Tools (IJAIT), Vol. 14, No. 1 & 2, February & April 2005.
  24. Valerie Barr, Zdravko Markov (Editors). Proceedings of the 17th International Florida Artificial Intelligence Research Symposium Conference (FLAIRS-2004), Miami Beach, Florida, AAAI Press 2004.
  25. Russell, I., Z. Markov and N. Zlatareva. Introducing Machine Learning from an AI Perspective, Proceedings of the 13th International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP 2003), 469-473. (http://www.cs.ccsu.edu/~markov/icann03.pdf)
  26. Boytcheva, S and Z. Markov. An algorithm for inducing least generalization under relative implication, in: Proceedings of FLAIRS-2002, Pensacola, Florida, May 14-16, 2002, AAAI Press, 2002, 322-326 (http://www.cs.ccsu.edu/~markov/flairs2002.pdf).
  27. Markov, Z. An algebraic approach to inductive learning, the International Journal of Artificial Intelligence Tools (IJAIT), Vol. 10, No.1-2 (2001), 257-272. (http://www.cs.ccsu.edu/~markov/ijait01.pdf)
  28. Markov, Z. A lattice-based approach to hierarchical clustering, in: Proceedings of FLAIRS-2001, Key West, Florida, May 21-23, 2001, AAAI Press, 2001, 389-393 (http://www.cs.ccsu.edu/~markov/flairs2001.pdf).
  29. Markov, Z. and I. Marinchev. Coverage-based semi-distance between Horn clauses, in: S. Cerri and D. Dochev (eds.),  Proceedings of AIMSA'2000, Lecture Notes in Computer Science, Vol. 1904, Springer 2000, 331-339 (http://www.cs.ccsu.edu/~markov/aimsa2000.pdf).
  30. Markov, Z. and I. Marinchev. Metric-based inductive learning using semantic height functions, in: Ramon López de Mántaras, Enric Plaza (eds.), Proceedings of ECML-2000, Lecture Notes in Computer Science, Vol. 1810, Springer, 2000, 254-262 (http://www.cs.ccsu.edu/~markov/ecml2000.pdf).
  31. Markov, Z. An algebraic approach to inductive learning, in: Proceedings of FLAIRS-2000, AAAI Press, 2000, 197-201 (http://www.cs.ccsu.edu/~markov/flairs2000.pdf).Markov, Z. Generalization under Implication by lambda-Subsumption, in: David Page (ed.), Proceedings of the 8th International Workshop on Inductive Logic Programming (ILP-98), Madison, Wisconsin, USA, July 22-24, 1998, Lecture Notes in Computer Science, Vol. 1446, Springer, 1998, 215-224.
  32. Agre, G., Ch. Dichev, Z. Markov. Task Editor - A Knowledge Acquisition Tool for Task Analysis, in: P. Navrat, H. Ueno (Eds.), Knowledge-Based Software Engineering, IOS Press, 1998, 191-194.
  33. Markov, Z. and N. Pelov. A framework for Inductive Learning Based on Subsumption Lattices, in: F. Guinchiglia (ed.), Proceedings of AIMSA'98,  Lecture Notes in Artificial Intelligence, Vol.1480, Springer, 1998, 341-352.
  34. Markov, Z. Lambda-Subsumption and Its Application to Learning from Positive-only Examples, in: S. Muggleton (ed.), Proceedings of the 6th International Workshop on Inductive Logic Programming (ILP-96), Stockholm, August, 1996, Selected Papers, Lecture Notes in Artificial Intelligence, Vol.1314, Springer, 1997, 377-396.
  35. Markov, Z. A Model-theoretic Approach to ILP for Learning from Positive-only Examples, in: A. Ramsay (ed.), Artificial Intelligence: Methodology, Systems, Applications, IOS Press, 1996, 41-50.
  36. Markov, Z. Inductive Logic Programming, Problems of Engineering  Cybernetic  and  Robotics,  Vol.42,  Bulgarian Academy  of  Sciences, 1995, 56-65.
  37. Markov, Z. A Functional Approach to ILP, in: Luc De Raedt (ed.), Proceedings of the 5th International Workshop in Inductive Logic Programming (ILP-95), Scientific report, Department of Computer Science, K.U. Leuven, September, 1995, 267-280.
  38. Markov, Z. and L. Sinapova. A Framework for Network Modeling, Computers and Artificial Intelligence, Vol.13 (1994), No.6, Bratislava, 577-593.
  39. Markov, Z. Dynamic Induction in Network of Relations, in: Ph. Jorrand and V. Sgurev (Eds.), Proceedings of AIMSA'94, World Scientific, 1994, 239-246.
  40. Markov, Z. Relational Learning by Heuristic Evaluation of Ground Data, in: S. Wrobel (Ed.), Proceedings of Fourth International Workshop on Inductive Logic Programming (ILP-94), September 12- 14, 1994, Bad Honnef/Bon, Germany, GMD-Studien Nr.237, 337-349.
  41. Markov, Z. Inductive Inference in Networks of Relations, in: Proceedings of the Third International Workshop on Inductive Logic Programming (ILP-93), April 1-3, Bled, Slovenia, 256-277.
  42. Sinapova, L. and Z. Markov. Grammar Representation and Parsing in a Data-Driven Logic Programming Environment, in: Proceedings of AIMSA'92,  Artificial Intelligence V, North-Holland, 151-159.
  43. Markov, Z. An approach to Concept Learning Based on Term Generalization, in: Proceeding of the 9th International Machine Learning Conference (ML92), Aberdeen, Scotland, 1-3 July, Morgan Kaufman, San Mateo CA, 1992, 310-315.
  44. Markov, Z. A tool for building connectionist-like networks based on term unification, in: M. Richter and H. Boley (eds.), Proceedings of PDK'91, Lecture Notes in Computer Science, Vol.567, Springer-Verlag, 1991, 119-203.
  45. Markov, Z. and Ch. Dichev. Distributed Logic Programming, in: G. Wiggins, C. Mellish and T. Duncan (eds.), Proceedings of the 3rd UK Annual Conference of Logic Programming, Edinburgh, Scotland, 1991 (Workshops in Computing, Springer-Verlag, 1991, 36-55).
  46. Markov, Z. An Approach to Data-Driven Learning, in: Proceedings of the International Workshop on Fundamentals of Artificial Intelligence Research (FAIR'91), September 8-12, 1991, Smolenice, Czechoslovakia, Lecture Notes in Computer Science, Vol.535, Springer-Verlag, 1991, 127-140.
  47. Sgurev V., D. Dochev, G. Agre, Ch. Dichev, Z.  Markov.  Diagnostic Expert Systems For Digital Electronics, in: Proceedings of the IFIP TC5/WG5.3 International Conference on Artificial  Intelligence in CIM, Leningrad,  April 1990, North-Holland, 1991, 220-224.
  48. Markov, Z. and Ch. Dichev. The Net-Clause Language - A Tool for Data-Driven Inference, in: Logics in AI, Proceedings of European Workshop JELIA'90, Amsterdam, The Netherlands, September 1990, Lecture Notes in Computer Science, Vol.478, Springer-Verlag, 1991, 366-385.
  49. Markov, Z., L. Sinapova and Ch. Dichev. Default reasoning in a network environment, in: Proceedings of the 9th European Conference on Artificial Intelligence (ECAI-90), August 6-10,1990, Stockholm, Sweden, 431-436.
  50. Markov, Z., C. Dichev and L. Sinapova. The Net-Clause Language - a tool for describing network models, in: Proceedings of the Eighth Canadian Conference on AI (CSCSI-90), 23-25 May, 1990, Ottawa, Canada, 33-39.
  51. Markov, Z. A Framework for Network Modeling in Prolog, in: Proceedings of IJCAI-89, Detroit, U.S.A, August 20-25, Morgan Kaufmann, 1989, 78-83.
  52. Dichev,  Ch.,  G. Agre, D. Dochev, Z. Markov. Trigonometry Tutor, in: Proceedings of the Fourth International Annual PEG Conference "Learning with Artificial Intelligence". Uppsala, Sweden, June 16-18, 1989.
  53. Markov Z., Th. Risse. Prolog Based Graph Representation of Polyhedra, in: Proceedings  of  AIMSA'88, North-Holland, 1988, 187-194.
  54. Sgurev, V., D. Dochev,  Z.  Markov,  Ch. Dichev,  G. Agre. Knowledge  representation  in  CAD, in: I. Plander (ed.), Artificial  Intelligence and Information-Control  Systems  of  Robots-87, North-Holland, 1987, 99-106.
  55. Sgurev, V., D. Dochev,  G. Agre,  Ch. Dichev,  Z.  Markov.  Knowledge  Acquisition  and Man-Machine Interface in the DIGS Expert System, in: Proceedings of AIMSA'86, North-Holland, 1987, 281-288.
  56. Markov, Z., D. Dochev,  Ch. Dichev,  G. Agre. An Approach to Compiling  Prolog Programs,  in: Proceedings of AIMSA'86,  North-Holland, 1987, 47-54.
  57. Messina, L.A.,  Z. Markov. Methodisches Evaluieren von CAD- Systemen, Aktuelle Themen der Graphischen Datenverarbeitung, J.Enacarnacao (Hrsg.). Springer-Verlag 1986, 277-294.
  58. Hubner, W., Z.  Markov. GKS Based Graphics Programming in PROLOG. Computer Graphics Forum, Vol.5, No.1. North-Holland, March 1986.
  59. Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. An approach  to  building  a technical diagnostic expert system. Computers and Artificial Intelligence,  Vol.5(1986), No.2, Bratislava, 103-115.
  60. Agre, G., V. Sgurev, D. Dochev, Ch. Dichev, Z. Markov. An implementation of the expert system DIGS for diagnostics, Computers and  Artificial  Intelligence, Vol.4(1985), No.6, Bratislava, 495-502.
  61. Encarnacao,  J., L.A.Messina, Z. Markov. Models and Methods for Decision Support Systems for Evaluating  and Choosing  CAD-Systems, in: Preprints  of  IFIP  W.G.5.2 Working Conference on Design Theory for CAD, Tokyo, October 1-3, 1985, 213-230.
  62. Hubner, W., Z. Markov. Eine Graphik-Erweiterung fur PROLOG auf der Grundlage von GKS, in: GI, OCG, OGI JAHRESTAGUNG 1985, September, 1985, Wien, 16-20.
  63. Sgurev, V., D. Dochev, Ch. Dichev, G. Agre, Z. Markov. A Domain Independent Expert System for Technical Diagnostics,  in: Proceedings of AIMSA'84, North-Holland, 1985, 137-144.

Last updated: November 25, 2014