Javad Safaei


    Introduction

    Education

    Publications

    Honors

    Experiences

    Teaching

    Photos




 Introduction
I finished my M.Sc. at Sharif University of Technology, in the field of Artificial Intelligence. My research area is:
  • Planning Based on MDP (under uncertainty) and Reinforcement Learning
  • Knowledge Discovery and Non-Metric Pattern Classification
  • Statistical Relational Learning
  • Function Approximation, Regression and Curve Fitting
  • Learning Classifier Systems
My Email: safaei {AT} ce {DOT} sharif {DOT} edu

My Address: Room 313, AI Lab, Computer Eng. Dept., Sharif University of Technology, Tehran, Iran

My CV:[PDF]
Javad Safaei


 Education
M.Sc.
2004-06
Sharif University of Technology, Tehran, Iran
Department of Computer Engineering, Major: Artificial Intelligence

Graduate Courses Passed References
Machine Learning
  • T. M. Mitchell, Machine Learning. McGraw Hill, 1997.

  • Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, MIT press, 1998.

  • And other papers and books exist in the course website

  • Artificial Neural Networks
  • L. Fauset, Fundamental of Neural Networks, Prentice Hall, 1994.

  • S. Haykin, Neural Networks: A Comprehensive Foundation. New York: MacMillan Publishing Company, 1994.

  • Image Processing
  • Rafael. C. Gonzalez, Digital Image Processing, Addison Wesley, 2002.

  • Fuzzy Logic and Systems
  • H. J. Zimmerman, Fuzzy Sets Theory and Its Applications, Kluwer Publishers, 1996.

  • Yan, M. Ryan, and J. Power, Using Fuzzy Logic: toward intelligent systems, Prentice Hall, 1994.

  • Evolutionary Computing
  • A.E. Eiben, J.E. Smith, Introduction to Evolutionary Computing, Springer, 2003.

  • Pattern Recognition
  • Duda, Hart and Stork, Pattern Classification. Wiley-Interscience, 2000.

  • Planning
  • Malik Ghallab, Dana Nau, and Paolo Traverso, Automated Planning: Theory and Practice, Morgan Kaufmann, 2004.

  • Data Compression
  • T. A. Cover and J. A. Thomas, Information theory, John Wiley & Sons, Inc., 1991

  • D. Salomon, Data Compression, The Complete Reference, Springer, 2nd Edition, 2000.


  • B.Sc.
    2K-2004
    Iran University of Science and Technology, Tehran, Iran
    Department of Computer Engineering, Major: Software Engineering


     Publications
    • J. Safaei, Gh. Ghassem-Sani, Learning Probabilistic Planning Operators and Acting in Stochastic Domains, Submitted.[PDF]
    • J. Safaei, H. Beigy, Quine-McCluskey Classification, In 5th ACS/IEEE International Conference on Computer Systems and Applications, (AICCSA May 2007), pp. 404-411. [PDF] [BibTeX] [BibEntry]
    • J. Safaei, Gh. Ghassem-Sani, Incremental Learning of Planning Operators in Stochastic Domains, In 33rd International Conference on Current Trends in Theory and Practice of Computer Science, (SOFSEM 2007), Springer-Verlag publisher, LNCS 4362, pp. 644-655. [PDF] [BibTeX] [BibEntry]
    • J. Safaei, H. Beigy, Boolean Function Minimization: The Information Theoretic Approach, In 15th IEEE/ACM International Workshop on Logic & Synthesis, (IWLS 2006), pp. 37-41. [PDF] [BibTeX] [BibEntry]
    • J. Safaei, M. Jamzad, Restoration of a Single Motion Blurred Image, In 11th International CSI Computer Conference, (CSICC January 2006), vol. 2, pp. 206-211. [PDF] [BibTeX] [BibEntry]
    Theses Technical Reports
    • J. Safaei, An Overview of Learning Classifier Systems, ZCS and XCS, Dept. of Computer Engineering, SUT, 2005 (Persian)
    • J. Safaei, An Overview of Fuzzy Logic and Systems for the concepts: 1. Fuzzy Inference, 2. Defuzzification Methods, 3. Self Organizing Fuzzy Controllers, 4. Fuzzy Clustering, 5. Fuzzy Numbers, 6. Takagi-Sugeno Modeling, 7. Fuzzy Modeling, 8. Membership Functions, 9. Fuzzy Filtering, 10. Fuzzy Robot Navigation, 11. Tanaka-Sugeno Controllers, 12. Fuzzy Measure, 13. Fuzzy Databases, Dept. of Computer Engineering, SUT, 2005
    • J. Safaei, An Overview of Motion Blur Parameter Estimation by Fourier Analysis, Dept. of Computer Engineering, SUT, 2004 (Persian)
    • J. Safaei, An Overview of ANN for the concepts: 1. ART NN, 2. Face Recognition by NN, 3. Disease Diagnosis by NN, 4. Conjugate Gradient in NN, 5. Solving Differential Equations by NN, 6. NN Parameters and Overfitting, 7. RBF NN and One application, Dept. of Computer Engineering, SUT, 2004 (Persian)


     Honors & Awards


     Experiences


     Teaching
    • Advanced programming, C++ or Pascal, as a tutor
    • Machine Learning (2005) (2006), as a TA in Sharif University
    • Pascal Programming (2007), as an Instructor in Sharif University