Dr. Hadi Zare Faculty Member, Head of the Lab
PhD, Applied Mathematics, Amirkabir university of technoilogy, 2009
MSc, Amirkabir University of technology
BSc, Shiraz University
Description: Description: This course is about introducing the elements of learning, foundations and algorithms. Classification algorithms such as LDA, Bayes classifier, LogReg, DT and and unsupervised methods such as k-means, Hierarchical clustering methods, PCA and kernel methods are among the content of this course. This course is developed for the students of Networked System Engineering.
Description: Description: The aim of this course is to introduce the statistical and mathematical foundation of learning methods. The course starts with statistical learning theory, and then describe the algorithms based on these theoretical framework like Gaussian classifiers, Probabilistic LDA, SVM, and topic models
Description: Description: This course introduces the fundamentals of graphical models which includes the Representation, Learning, and Inference. The course covers the Bayesian Networks, Markov Networks, data representation based on graphical models, the learning approaches like ML, Bayesian and EM algorithm, and Inference techniques like VE, MP and BP approaches
Description: Zarkesh zade, Mahdi, Hadi Zare, Zainabolhoda Heshmati Rafsanjani, and Mehdi Teimouri. ''A novel hybrid method for improving ambulance dispatching response time through a simulation study.'' Simulation Modelling Practice and Theory 60, no. 1 (2015): 170-184.
Description: Bijari, Kayvan, Hadi Zare, Hadi Veisi, and Hossein Bobarshad. ''Memory-enriched big bang–big crunch optimization algorithm for data clustering.'' Neural Computing & Applications 27, no. 8 (2016): 1-11.
Description: Zare, Hadi, and Mojtaba Niazi. ''Relevant based structure learning for feature selection.'' Engineering Applications of Artificial Intelligence 55, no. -- (2016): 93-102.
Description: Hajiabadi, Mahdi, Hadi Zare, and Hossein Bobarshad. ''IEDC: An Integrated Approach for Overlapping and Non - overlapping Community Detection.'' Knowledge-Based Systems 123, no. 1 (2017): 188-199.
Description: Riazi, Rouzbeh, Mohammad Asrardel, Maziar Shafaee Roshani, Shidvash Vakilipour, Hadi Zare, and Hadi Veisi. ''A Data Mining Study on Combustion Dynamicsand NOx Emission of a Swirl Stabilized Combustor with Secondary Fuel Injection.'' International Journal of Heavy Vehicle Systems 24, no. 3 (2017): 215-238.
Description: H. Zare, A. Mohammadpour, and P. Moradi, “A Random Projection Approach for Estimation of the Betweenness Centrality Measure,” Intell. Data Anal., vol. 17, no. 2, pp. 217–231, Mar.
Description: E. Kebriaei, K. Bijari, and H. Zare, “Improved model-based clustering using evolutionary optimization,” in 2017 Artificial Intelligence and Robotics (IRANOPEN), 2017, pp. 182–187.
Description: H. Zare and M. Hajiabadi, “Overlapping Community Detection in Social Networks Based on Stochastic Simulation,” Journal of Computer & Robotics, vol. 9, no. 1, pp. 61–68, Jan. 2016.