This is the homepage of Mahdi Pakdaman Naeini,
Intelligent Systems Program of University of Pittsburgh.
For more information please review my C.V.

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Interests       Education       Publications       Teaching       Talks       Thesis       Links      
Research Interests:
  • Statistical Machine Learning
  • Graphical Models
  • Causality Detection
  • Optimization
  • Deep Learning
  • Anomaly Detection
  • Active Learning

  • Mahdi Pakdaman Naeini, G. F. Cooper. "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models”, IEEE Internation Conference on Data Mining (ICDM), Barcelona, Spain, December 2016.

  • Mahdi Pakdaman Naeini, G. F. Cooper. "Obtaining Accurate Probabilities using an Ensemble of Linear Trend Estimation”, SIAM Data Mining (SDM), Miami, FL, May 2016.

  • Mahdi Pakdaman Naeini, G. F. Cooper, M. Hauskrecht. "Obtaining Calibrated Probabilities using Bayesian Binning", Association for the Advancement of Artificial Intelligence (AAAI), Austin, TX, January 2015 [code]

  • Mahdi Pakdaman Naeini, G. F. Cooper, M. Hauskrecht. "Binary Classifier Calibration: A Bayesian Non-Parametric Approach", SIAM Data Mining (SDM), Vancouver, Canada, May 2015.

  • Mahdi Pakdaman Naeini, I. Batal, Z. Liu, C. Hong, and M. Hauskrecht. "An Optimization- based Framework to Learn Conditional Random Fields for Multi-label Classification". SIAM Data Mining (SDM), Philadelphia, PA, April 2014.

  • A. Saluja, Mahdi Pakdaman Naeini, D. Piao, and A.P. Parikh. "Infinite Mixed Member- ship Matrix Factorization". IEEE 13th International Conference on Data Mining (ICDM) Workshops, Dallas, TX, December 2013.

  • Mahdi Pakdaman Naeini, B. Araabi, B. Moshiri, M. Sadeghi. "Learning by abstraction: Hierarchical classification model using evidential theoretic approach and Bayesian ensemble model". Neurocomputing journal, 2013.

  • 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]

  • Mahdi 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.

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 Copula Functions", Advanced Machine Learning Seminar, Sep 2011.

  • Mahdi Pakdaman Naeini, "Introduction to Kernel Methods", Automated Fraud Detection workshop IPM, 08 August 2010.

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

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

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

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

  • 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.

  • 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