Academic qualification

PhD in Computer Science - Evolutionary Computing

2008 – 2013   The University of Melbourne  ,Melbourne, Australia

MSc in Computer Engineering - Artificial Intelligence major

2001 – 2004 Islamic Azad University - Science and Research Campus Tehran, Iran


BSc in Computer Engineering -Software Engineering major

1996 – 2001 Beheshti University Tehran, Iran


Diploma – Mathematics and Physics

1992 – 1996 Alborz College Tehran, Iran

 

Publication

Thesis:

MSc Thesis: Design and developing a forecasting model for cash investment using data mining technology by emphasizing on Genetic Algorithm and Fuzzy logic, (in Farsi), Iran, 2004
 

BS Project: Design and developing a Farsi character recognition system by using Neural Network methods, (In Farsi), Iran, 2001

Journal:

2013

“Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data”, Mani Abedini, Michael Kirley and Raymond Chiong, Australas Medical Journal, Vol 6(5) , pp 272–279, Online Version Bibtex  DOI 

2012

“An enhanced XCS rule discovery module using feature ranking”, Mani Abedini and Michael Kirley, International Journal of Machine Learning and Cybernetics , Vol 2012 , Springer Berlin/Heidelberg, draft version Bibtex. DOI  [The original publication is available at www.springerlink.com]

2002

“Using Cresceptron neural network for Farsi character recognition”, Negasht- Mani Abedini, Eslame Nazemi, Journal of Computer Society of Iran , Vol 5 , (In Farsi), Iran, Feb 2002


Conference:

2013

"GPU-accelerated eXtended Classifier System", Mani Abedini, Michael Kirley, Raymond Chiong and T. Weise, Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013), Piscataway, NJ: IEEE Press, April 2013, pp. 299-306, Singapore. ISBN 978-1-4673-5895-8., draft version

2012

"FS-XCS vs. GRD-XCS: An analysis using high-dimensional DNA microarray gene expression data sets" , Mani Abedini, Michael Kirley and Raymond Chiong, Proceedings of the Second Australian Workshop on Artificial Intelligence in Health (AIH 2012), Sydney, Australia, December 4, 2012., Online version Bibtex  DOI 

2011

"Guided Rule Discovery in XCS for High-Dimensional Classification Problems", Mani Abedini and Michael Kirley, Proceedings of the Australasian Conference on Artificial Intelligence, Perth, Australia, December 5-8, 2011., draft version Bibtex. DOI  [The original publication is available at www.springerlink.com]

2010

"Gene Expression Classification with a Novel Coevolutionary based Learning Classifier System on Public Clouds", Christian Vecchiola, Mani Abedini, Michael Kirley, Xingchen Chu, and Rajkumar Buyya, Proceedings of the e-Science 2010 Workshop on Parallel Optimisation and Parameter Fitting, Brisbane, Australia, Dec. 7, 2010., draft version, Bibtex, DOI The original publication is available at www.ieeexplore.ieee.org]

"A multiple population XCS: Evolving condition-action rules based on feature space partitions", Mani Abedini and Michael Kirley, IEEE World Congress on Computational Intelligence - CEC 2010: 471-478;draft version. Bibtex. DOI  [The original publication is available at www.ieeexplore.ieee.org]

2009

"CoXCS: a coevolutionary learning classifier based on feature space partitioning", Mani Abedini and Michael Kirley, Australasian Conference on Artificial Intelligence 2009: 360-369;draft version. Bibtex. DOI  [The original publication is available at www.springerlink.com]

2004

“Using data mining and Genetic Fuzzy systems technique in order to predict cash flow in financial institutes and Banks”, Mani Abedini, Caro Lucas, Mohammad Ebrahim pourzarandi, 10’th annual conference of Computer Society of Iran, (In Farsi), Iran, January 2004.

 

Research Interest

Artificial Intelligence:

  • Data Mining
  • Machine Learning and Soft Computing:
    • Neural Networks

    • Fuzzy Logic

    • Evolutionary Computing:

      • Genetic Algorithms

      • Genetic Fuzzy Systems (GFS)

      • Learning Classifiers Systems (LCS), especially eXtended Learning Classifier (XCS)

      • Estimation of Distribution Algorithms (EDA)

Software Engineering:

  • Software Architecture, Design Patterns.

Bioinformatics:

  • DNA Microarray Gene Expression Profiles

  • Proteomics

 

     
     

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