This is the homepage of Mahdi Pakdaman Naeini ,
PhD student at ECE Department of University of Tehran.
For more information please review my C.V.

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Interests       Education       Teaching       Talks       Publications       Thesis       Links       Projects
My Favorite Research Areas:
  • Data Mining & Machine Learning
  • Bioinformatics
  • Game Theory
  • Graph Theory & Algorithms
Teaching Experiences:
  • Advanced Algorithm Analysis and Design (Payam Noor university )
  • Introduction to Algorithm (Azad University of Parand)
  • Software Engineering (Azad University of Parand)
  • Advanced Programming and Data Structures (Azad University of Parand)
  • Artificial Intelligence (Azad University of Parand)
  • Data Mining (Azad University of Parand)
  • Theory of Languages and Machines (Azad University of Parand)
Presentation and Talks:
  • Mahdi Pakdaman Naeini, "Introduction to Kernel Methods", Automated Fraud Detection workshop IPM, 08 August 2010. [PDF]

  • Mahdi Pakdaman Naeini, "Protein Domain Assignment using computational approaches", IPM-FAST IR workshop on computational biology, 27-29 Jan 2010. [PDF]

  • Mahdi Pakdaman Naeini, "Neural Networks", Invited talk in Bioinformatic Course, Institute of Biophysics and Biochemistry(IBB), University of Tehran, Iran, December 2008. [PDF]

  • Mahdi Pakdaman Naeini, "Hidden Markov Model and its application in Bioinformatics", Bioinformatics Group meeting, ECE Department, University of Tehran, Iran, October 2008. [PDF]

  • Mahdi Pakdaman Naeini, "Theory of Learning and Support Vector Machines", Data Mining Seminar, ECE Department, University of Tehran, Iran, December 2007. [PDF]

  • Caro Lucas, Mahdi Pakdaman Naeini, "Mobile Banking", Workshop on E-Banking, IT conference, University of Tehran, Iran, 2003.

  • Caro Lucas, Mahdi Pakdaman Naeini, "Load Risk Assessment System", Workshop on E-Banking and E-negotiation, First International IT conference, Hamedan, Iran, 2003.


  • Mahdi Pakdaman Naeini, B. Moshiri, B. Araabi, M. Sadeghi, H. B. Hashemi, "Learning by Abstraction: a New Hierarchical Classification Model using Evidential Theoretic Approach and Bayesian Ensemble model", Submitted to Neurocomputing Journal.

  • H. B. Hashemi, N. Yazdani, A. Shakery, Mahdi Pakdaman Naeini "Application of Ensemble Models in Web Ranking", Fifth International Symposium on Telecommunications (IST), 2010.[PDF]

  • M. Pakdaman Naeini, H. Taromian, and Homa Baradaran Hashemi, Stock Market Vaule Prediction using Neural Networks, International Conference on Computer Information Systems and Industrial Management Applications (CISIM), 2010.[PDF]

  • Mahdi Pakdaman Naeini, Behzad Moshiri, Kaveh Kavousi. "Protein Fold Recognition using a bagging ensemble of SVM classifiers", 8th APIS Conference, University of the Ryukyus, Okinawa, Japan 2009. [PDF]

  • H. B. Hashemi, A. Shakery, Mahdi Pakdaman Naeini, "Protein Fold Pattern Recognition Using Bayesian Ensemble of RBF Neural Networks", International Conference of Soft Computing and Pattern Recognition, Malaysia 2009. [PDF]

  • Mahdi Pakdaman Naeini, Alireza Alemi , Caro Lucas. "Intelligent Multi-Agent Electronic Banking Design and Implementation", Electronic Commerce, Necessities and Approaches IT Conference, Isfahan, Iran, 2004.

  • PhD thesis: "Hierarchical Multi-Label Classification and its application in gene fucntion prediction" under supervision of Prof. Behzad Moshiri & Dr. Mehdi Sadeghi, University of Tehran 2009-present.
  • MS thesis: "Design and Implementation of an Intelligent Decision Support system for Credit Risk Assessment Using Soft Computing Methods" under supervision of Prof. Caro Lucas, University of Tehran 2003-2004.
  • BS thesis:  "Linux Administration Toolkit" under supervision of Dr. Sharifi 2000-2001.
Useful Links:

مهدی پاکدامن نائینی
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