Kavosh Lab

Dr. Hadi Zare Faculty Member, Head of the Lab

Dr. Hadi Zare Faculty Member, Head of the Lab

Ph.D. in Computer Engineering, Sharif University of Technology, Tehran-Iran, 2011.

M.Sc. degree in Computer Engineering, Sharif University of Technology, Tehran-Iran, 2005.

B.Sc. degree in Computer Engineering, Shiraz University, Shiraz-Iran, 2003.

Research interests:

  • Machine Learning
  • Mathmatical Learning
  • Network Analysis
  • Statistical pattern Recognition
  • Statistical Graphical Model

About Lab Or Fields Or whatever :)

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Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher.

Courses

Machine Learning and Pattern Recognition

M.Sc. Student

Description: Machine learning is about developing algorithms that adapt their behaviour to data, to provide useful representations or make predictions. This course is for those wanting to research and develop machine learning methods in future.

Qualitative Research Methods

M.Sc. Student

Description: Qualitative research is a broad methodological approach that encompasses many research methods. The aim of qualitative research may vary with the disciplinary background, such as a psychologist seeking to gather an in-depth understanding of human behavior and the reasons that govern such behavior. Qualitative methods examine the why and how of decision making, not just what, where, when, or 'who', and have a strong basis in the field of sociology to understand government and social programs.

Mathematical Learning

M.Sc. Student

Description: summry

Probabilistic Graphical Model

M.Sc. Student

Description: A graphical model or probabilistic graphical model (PGM) is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. They are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.

People

Publications

title

M.Sc. Student

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.

title

M.Sc. Student

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.

title

M.Sc. Student

Description: Zare, Hadi, and Mojtaba Niazi. ''Relevant based structure learning for feature selection.'' Engineering Applications of Artificial Intelligence 55, no. -- (2016): 93-102.

title

M.Sc. Student

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.

title

M.Sc. Student

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.

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Projects

Research Areas Goes Here


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