KEVIN B. KORB
CURRICULUM VITAE
School of Computer Science &
Software Engineering
Monash University
Clayton, VICTORIA 3800
AUSTRALIA
Phone: (03) 9905-5198
Fax: (03) 9905-5146
kevin korb --- infotech monash edu au
Reader, Clayton School of Info Tech, Monash University (since 2003).
A.B., Philosophy, University of California, Berkeley, 1976.
M.Sc., Computer Science, Indiana University, 1981.
Ph.D., Philosophy of Science, Indiana University, 1992.
- 1981 - 1988:
Software Engineer, Hewlett-Packard, Synapse Computer,
Tandem Computers.
- 1988 - 1990:
Education Specialist, Tandem Computers, Cupertino,
California.
- 1991:
Instructor, Indiana Vocational Technical College,
Bloomington, Indiana (during Ph.D. studies).
- 1992:
Associate Instructor, Dept. of the History and Philosophy of
Science, Indiana University
- 1992 - 1995:
Lecturer, Department of Computer Science, Monash
University.
- 1996 - 2002:
Senior Lecturer, Department of Computer Science, Monash
University.
- Colin Thompson, MS, 1998.
- Julian Neil, PhD, 2001.
- Michael Stillwell, MS, 2001.
- Murli Viswanathan, PhD, 2003.
I both developed and taught the following subjects at Monash
University:
- Machine Learning (3rd year and hon, 1993-1997)
- Bayesian
Reasoning (hon, 1993)
- Causal Reasoning (hon, 1994-1996)
- The Computer
Industry: historical, social and professional issues (3rd year, 1997)
- Research Methods (hon, 1997-2003; now taught by David Green)
- Bayesian Models (hon, developed with
A Nicholson in 2000. I taught it at Linkoping Uni, Sweden, in
2000; taught by A Nicholson and D Albrecht at Monash since then)
- Causal Discovery (hon, 2000-2003; now taught by Geoff Webb)
- Epistemology of Computer Simulation (hon, 2003; with Bernd Meyer,
Alan Dorin and Jon McCormack)
- The Art of Causal Modeling (hon, 2004; with Charles Twardy,
Toby Handfield and Graham Oppy)
In 2005 I am teaching: Third-Year Project, Formal Methods II (3rd year), and
Artificial Intelligence (2nd & 3rd year). I also guest lecture
for ASP1022 (Life and the Universe).
I represent FIT on the GLC (General Library Committee).
I am the second-year Bachelor of Computer Science coordinator and
coordinator of research seminars for Clayton School of IT.
I am a member of AAAI, the Sigma Xi Scientific Research Society,
Philosophy of Science Association, British Society for the Philosophy
of Science, Society for Machines and Mentality, Australasian
Association for the Historical, Philosophical and Social Study of
Science, and a founding member of the Association for the Scientific
Study of Consciousness. I have co-organized the international
conferences ISIS'96 and PAKDD'98 and served as a program committee
member of PAKDD since then. I have been a program committe member of
numerous other conferences, including 2002 International Conference on
Machine Learning, 2003 Australasian Artificial Life, 2003 Uncertainty
in AI. I was co-organizer of the workshop ``Machine Learning as
Experimental Philosophy of Science'' for ECML/PADD'01. I have
recently refereed articles for: Minds and Machines, Australasian
Journal of Philosophy, Philosophy of Science, Journal of Symbolic
Logic, Journal of Experimental and Theoretical Artificial
Intelligence, Annals of Mathematics and AI. In 2004 I organized
a special issue of Minds and Machines on machine learning.
Grant money won or spent from 1999-2005 amounts to
$1.56M ($874K ARC, $685K Monash).
- Bayesian Induction of Causal Models (with Chris Wallace).
1999: ARC Research Project Grant - $61,000.
- The Data Mining Environment (DME) (with Lloyd Allison et al.)
1998-9: Faculty of Information Technology - $55,000.
- Automatic Argument Generation and Understanding (with Ingrid Zukerman).
1999: ARC Research Project Grant - $73,000.
2000: ARC Research Project Grant - $73,000.
2001: ARC Research Project Grant - $45,000.
- Centre for Bayesian Data Mining (with Trevor Dix and David Dowe)
2000-2001: Strategic Monash University Research Fund (SMURF) - $480,000.
- Improving Meteorological Forecasting with Knowledge Management Systems
(with Henry Linger, Frada Bustein, Ann Nicholson; with James Kelly,
Bureau of Meteorology).
2000: ARC Linkage Project Grant - $45,000.
2001: ARC Linkage Project Grant - $45,000.
2002: ARC Linkage Project Grant - $45,000.
- A Software Tool for Bayesian Knowledge Engineering (with Ann Nicholson)
2001: Monash University Small Grant- $15,000.
- Arguments: Enhancing Skills in Critical Thinking and
Reasoning (with Ian Gold, John Bigelow, Graham Oppy)
2001: Monash Strategic Innovations Fund - $95,000.
- Effective Pedagogy for Improving Critical Thinking
(with Ian Gold, Graham Oppy, John Bigelow).
2002: ARC Linkage Grant - $30,000.
2003: ARC Linkage Grant - $30,000.
2004: ARC Linkage Grant - $30,000.
- Causal Foundations for Bayesian Networks, 2004-07
(with Ann Nicholson).
2004: Monash Research Fund Grant - $30,000
- The Art of Causal Modeling
(with C. Twardy, G. Oppy, T. Handfield).
2004: Monash Arts/IT Collaboration Grant - $10,000
- Bayesian Networks for Predicting and Preventing Cardiovascular
Death, 2004-07
(with John McNeil, Ann Nicholson, Richard Neapolitan).
2004: ARC Discovery Grant - $50,000
2005: ARC Discovery Grant - $50,000
2006: ARC Discovery Grant - $50,000
- Resource-bounded adaptive inference of accurate conditional probability estimates from data, 2005-07
(with Geoff Webb and Kai Ming Ting).
2004: ARC Discovery Grant - $90,000
2005: ARC Discovery Grant - $76,000
2006: ARC Discovery Grant - $81,000
- X. Wu, R. Kotagiri and K. B. Korb (editors): Lecture Notes in
Artificial Intelligence 1394: Research and Development in Knowledge
Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98,
Melbourne Australia, Springer-Verlag, Berlin Germany, ISBN
3-540-643383-4.
- K. B. Korb (Assoc. Editor, Journal) (1999). Psyche: An
interdisciplinary journal of research on consciousness, Vol. 4, ISSN
1324-454X.
- K. B. Korb (Assoc. Editor, Journal) (2000). Psyche: An
interdisciplinary journal of research on consciousness, Vol. 5, ISSN
1324-454X.
- K.B. Korb and A.E. Nicholson (2004). Bayesian Artificial
Intelligence. Chapman Hall/CRC Press, Boca Raton, Fl.
- K.B. Korb and H. Bensusan (2004), guest editors. Special issue of
Minds and Machines: Machine Learning as Experimental Philosophy
of Science.
- Korb, K.B. (1999). Probabilistic Causal Structure. In H. Sankey (Ed.)
Causation and Natural Laws: Australasian Studies in the History and
Philosophy of Science, Kluwer.
- C.S. Wallace and K.B. Korb (1999) Learning Linear Causal Models by
MML Sampling. To appear in Lecture Notes in Computer Science,
Springer Verlag.
- K. B. Korb and J. J. Oliver (1999) Comment on Nick Bostrom's ``The
Doomsday Argument is Alive and Kicking.'' Mind, 108, 551-553.
- K. B. Korb and A. E. Nicholson (2000) The Essential Roles
of Emotion in Cognitive Architecture. Behavioral and Brain Sciences.
- K.B. Korb C. R. Twardy (2004). A Criterion of Probabilistic
Causality. Philosophy of Science, 71, 241-262.
- K.B. Korb (2005). Bayesian Informal Logic and Fallacy. Informal
Logic, forthcoming.
Refereed Conference Articles
- K. B. Korb, A.E. Nicholson and N. Jitnah (1999) Bayesian Poker.
Uncertainty in Artificial Intelligence, Stockholm, Sweden, August,
1999.
- J R Neil and K B Korb (1999). The evolution of causal models: a
comparison of Bayesian metrics and structure priors. In N Zhong and L
Zhou (eds) Proceedings of the Third Pacific-Asia Conference,
(PAKDD-99), pp 432-437.
- I. Zukerman, R. McConachy, K.B. Korb and D. Pickett (1999) Exploratory
Interaction with a Bayesian Argumentation System. IJCAI-99,
Stockholm, Sweden, August, 1999.
- K.B. Korb (1999) Calibration and the Evaluation of Predictive
Learners. IJCAI Empirical AI Workshop, Stockholm, Sweden, August,
1999.
- C. Leslie, N. Thomason, K. B. Korb and J. Price (1999)
Neyman-Pearson statistics are inconsistent with
frequentism. Eleventh International Congress of Logic, Methodology
and the Philosophy of Science, Krakow, Poland.
- K. B. Korb (1999) Inductive Acceptance. Eleventh International
Congress of Logic, Methodology and the Philosophy of Science, Krakow,
Poland.
- J R Neil, C S Wallace and K B Korb (1999). Learning bayesian
networks with restricted causal interactions. In K B Laskey, H Prade
(Eds) Proceedings of the Fifteenth Conference on Uncertainty in
Artificial Intelligence (UAI-99), pp. 486-493.
- M Viswanathan, C S Wallace, D L Dowe and K B Korb
(1999). Finding cutpoints in noisy binary sequences - a revised
empirical evaluation. In N Foo (ed)Proceedings of the Twelfth
Australian Joint Conference on Artificial Intelligence (AI'99),pp
405-416.
- I Zukerman, R McConachy and K B Korb (2000) Using argumentation
strategies in automated argument generation, Proceedings of the First
International Conference on Natural Language Generation (INLG'2000), pp 55-62.
- Russell Kennett, Kevin B. Korb, Ann E. Nicholson
(2001). Seabreeze Prediction Using Bayesian Networks. PAKDD-01, Hong
Kong.
- K B Korb, L R Hope and M J Hughes (2001). The evaluation of
predictive learners: some theoretical and empirical results. In Proceedings of the 12th European Conference on Machine Learning,
Lecture Notes in Artificial Intelligence, Volume 2167. Springer
Verlag, Berlin, Germany, pp. 276-287.
- S Mascaro, K B Korb and A E Nicholson (2001). Suicide as an
evolutionarily stable strategy. In Proceedings of the 6th
Europeal Conference on Advances in Artificial Life, Lecture Notes in
Artificial Intelligence, Vol 2159. Springer Verlag, Berlin, Germany,
pp. 120-132.
- L. R. Hope and K. B. Korb (2002). Bayesian Information Reward. In B
McKay and J Slaney (eds), AI'02. Lecture Notes in Artificial
Intelligence, Vol 2557, pp 272-283.
- S. Mascaro, K. B. Korb and A. E. Nicholson (2003). ALife
Investigation of Parental Investment in Reproductive Strategies. In R
K Standish, M A Bedau and H A Abbass (eds), Eighth International
Conference on Artificial Life (ALife VIII). MIT Press, pp 358-361.
- K. B. Korb and M. Stillwell (2003). The Story of The Hot Hand:
Powerful Myth or Powerless Critique? International
Conference on Cognitive Science, Sydney, July, 2003.
- Oboler, A., Squire, D. and Korb, K. Why don't we practice what we
teach? Engineering Software for Computer Science Research in
Academia. International Conference on Software Engineering Research
and Applications (SERA 2003),
- Korb, K.B., Hope, L., Nicholson, A. and Axnick , K. (2004) Varieties
of Causal Intervention, in C Zhang, H W Guesgen and W K Yeap (eds),
Proceedings of the 8th Pacific Rim International Conference on
Artificial Intelligence,[PRICAI 2004], Auckland, Springer, pp
322-331.
- Hope, L., and Korb, K.B. (2004). A Bayesian Metric for Evaluating
Machine Learning Algorithms. Australian Joint Conference on
Artificial Intelligence, Cairns, Australia, Springer.
- Woodberry, O., Nicholson, A., Korb, K.B., Pollino, C. (2004) Parameterizing
Bayesian Networks. Australian Joint Conference on
Artificial Intelligence, Cairns, Australia, Springer.
- Woodberry, O., Nicholson, A., Korb, K.B., Pollino, C. (2005) Parameterizing
Bayesian Networks: A Case Study in Ecological Risk Assessment.
Simulation and Modelling. Thailand.
- Woodbery, O., Korb, K. and Nicholson, A.E. (2005) The Evolution of Aging.
The Second Australian Conference on Artificial Life
(ACAL 2005).
Sydney, Australia, 2005.
- S. Mascaro, K.B. Korb and A.E. Nicholson (2005) An ALife investigation of the origins of dimorphic parental investments.
The Second Australian Conference on Artificial Life
(ACAL 2005).
Sydney, Australia, 2005.
- L. Hope and K.B. Korb (2005) An Information-theoretic Causal Power Theory.
The 18th Australian Joint Conference on Artificial Intelligence.
Sydney, Australia,
- Ying Yang, Kevin Korb, KaiMing Ting, Geoff Webb (2005) Ensemble Selection for SuperParent-One-Dependence Estimators.
The 18th Australian Joint Conference on Artificial Intelligence.
Sydney, Australia,
Kevin Korb
Sep 1 2005