Work Experience

Education & Training

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Honors, Awards and Grants

Research Projects

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http://scholar.google.com/scholar?cluster=6991508092083516052&hl=en&oi=scholarr

General Publication US UNEMPLOYMENT RATE FORECASTING USING RECURRENT FUZZY NEURAL NETWORKS, 2016

Abstract


Özet

http://www.sciencedirect.com/science/article/pii/S1877050916326217

General Publication Assessment of Food Security Risk Level Using Type 2 Fuzzy System, 2016

Abstract


Özet

http://www.sciencedirect.com/science/article/pii/S0020025510006201

General Publication Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization, 2016

Abstract


Özet

http://www.academia.edu/download/31544606/ACMOS-80.pdf

General Publication Fuzzy type 2 inference system for credit scoring, 2016

Abstract


Özet

Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization

Original Article Information Sciences, Volume *, Issue -, 2011, Pages -

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Özet

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Assessment of Food Security Risk Level Using Type 2 Fuzzy System

Original Article Procedia Computer Science, Volume Vol. 102, Issue -, 2016, Pages pp 547–554

Abstract

In the paper, the assessment of food security using type-2 fuzzy system is presented. For this purpose, the input parameters cereal yield, cereal production, and economic growth are selected and the relationship between these parameters and risk level of food security is determined. The relationship is represented by using IF-Then rules. The values of the parameters in the rule base are described using fuzzy linguistic terms represented by the type-2 fuzzy sets. Based on the fuzzy rules the design of type-2 fuzzy inference system is performed. The system is tested using Turkey cereal data for the period from 1961 to 2012.The designed system is applied for assessing food security risk level and prediction periods of impending pressure on food supply.


Özet

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Long term dry cargo freight rates forecasting by using recurrent fuzzy neural networks

Original Article Procedia Computer Science, Volume Vol. 102, Issue -, 2016, Pages pp 642–647

Abstract

Maritime transport rates are very important for planning economic strategies. Various methods have been applied to seaborne trade forecasting. This study presents a genetic algorithm based trained recurrent fuzzy neural network for long term dry cargo freight rates forecasting. The empirical results show that proposed work has better accuracy than the other approaches which have used the same data set.


Özet

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Currrent Teaching

  • 2017 GÜZ

    OPERATING SYSTEMS

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  • 2017 GÜZ

    ENGINEERING DESIGN I

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  • 2017 GÜZ

    PROGRAMMING LANGUAGES I

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Teaching History

  • 2015 GÜZ

    VISUAL PROGRAMMING

  • 2016 GÜZ

    VISUAL PROGRAMMING

  • 2015 GÜZ

  • 2014 BAHAR

    OPERATING SYSTEMS

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  • 2015 BAHAR

    OPERATING SYSTEMS

  • 2015 BAHAR

    OPERATING SYSTEMS

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  • 2015 BAHAR

    OPERATING SYSTEMS

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  • 2016 BAHAR

    OPERATING SYSTEMS

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  • 2016 BAHAR

    OPERATING SYSTEMS

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  • 2015 GÜZ

    OPERATING SYSTEMS

  • 2015 GÜZ

    OPERATING SYSTEMS

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  • 2015 GÜZ

    OPERATING SYSTEMS

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  • 2016 GÜZ

    OPERATING SYSTEMS

  • 2016 GÜZ

    OPERATING SYSTEMS

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  • 2016 GÜZ

    OPERATING SYSTEMS

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  • 2015 YAZ

    OPERATING SYSTEMS

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  • 2016 YAZ

    OPERATING SYSTEMS

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  • 2014 BAHAR

    GRADUATION PROJECT

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  • 2014 BAHAR

    ENGINEERING DESIGN I

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  • 2015 BAHAR

    ENGINEERING DESIGN I

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  • 2016 BAHAR

    ENGINEERING DESIGN I

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  • 2015 GÜZ

    ENGINEERING DESIGN I

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  • 2016 GÜZ

    ENGINEERING DESIGN I

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  • 2014 YAZ

    ENGINEERING DESIGN I

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  • 2015 YAZ

    ENGINEERING DESIGN I

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  • 2016 YAZ

    ENGINEERING DESIGN I

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  • 2014 BAHAR

    ENGINEERING DESIGN II

    The purpose of the Engineering Design II is to assure/ascertain that the students have acquired the skills, knowledge and concepts necessary to perform well when they leave the university. Each student will use educational tools to broaden his/her knowledge about a particular, self-selected topic. Students are also expected to show how proficient they are in solving real world problems with certain constraints for the outcome-based evaluation by the review board. Students are expected to show their abilities on designing, developing, orally presenting and documenting a project.

  • 2014 YAZ

    ENGINEERING DESIGN II

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  • 2015 YAZ

    ENGINEERING DESIGN II

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  • 2015 YAZ

    ENGINEERING DESIGN II

    The purpose of the Engineering Design II is to assure/ascertain that the students have acquired the skills, knowledge and concepts necessary to perform well when they leave the university. Each student will use educational tools to broaden his/her knowledge about a particular, self-selected topic. Students are also expected to show how proficient they are in solving real world problems with certain constraints for the outcome-based evaluation by the review board. Students are expected to show their abilities on designing, developing, orally presenting and documenting a project.

  • 2016 GÜZ

    PROGRAMMING LANGUAGE III

  • 2016 GÜZ

    PROGRAMMING LANGUAGE I

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  • 2016 GÜZ

    PROGRAMMING LANGUAGES I

  • 2014 BAHAR

    SYSTEM SIMULATION

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  • 2014 BAHAR

    SYSTEM SIMULATION TECHNIQUES

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  • 2016 BAHAR

    SYSTEM SIMULATION TECHNIQUES

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  • 2016 YAZ

    SYSTEM SIMULATION TECHNIQUES

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  • 2015 YAZ

    SYSTEM SIMULATION

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  • 2014 BAHAR

    SYSTEM SIMULATION

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  • 2014 BAHAR

    SYSTEM SIMULATION

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  • 2015 BAHAR

    SYSTEM SIMULATION

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  • 2016 BAHAR

    SYSTEM SIMULATION

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  • 2015 GÜZ

    SYSTEM SIMULATION

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  • 2015 GÜZ

    SYSTEM SIMULATION

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  • 2016 GÜZ

    SYSTEM SIMULATION

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  • 2014 YAZ

    SYSTEM SIMULATION

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  • 2015 YAZ

    SYSTEM SIMULATION

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  • 2015 YAZ

    SYSTEM SIMULATION

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  • 2016 YAZ

    SYSTEM SIMULATION

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  • 2014 BAHAR

    DATABASE SYSTEMS

  • 2015 BAHAR

    DATABASE SYSTEMS

  • 2015 BAHAR

    DATABASE SYSTEMS

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  • 2016 BAHAR

    DATABASE SYSTEMS

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  • 2016 BAHAR

    DATABASE SYSTEMS

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  • 2014 BAHAR

    DATABASE MANAGEMENT SYSTEM

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  • 2015 BAHAR

    DATABASE MANAGEMENT SYSTEM

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  • 2016 BAHAR

    DATABASE MANAGEMENT SYSTEM

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  • 2014 BAHAR

    DATABASE MANAGMENT SYSTEM

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  • 2016 BAHAR

    DATABASE MANAGMENT SYSTEM

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  • 2016 BAHAR

    DATABASE MANAGEMENT

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  • 2015 BAHAR

    SOFTWARE QUALITY ASSURANCE AND RELIABILITY

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  • 2016 BAHAR

    SOFTWARE QUALITY ASSURANCE AND RELIABILITY

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  • 2015 GÜZ

    SOFTWARE QUALITY ASSURANCE AND RELIABILITY

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  • 2015 BAHAR

    SOFTWARE TESTING AND QUALITY ASSURANCE

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  • 2015 GÜZ

    SOFTWARE TESTING AND QUALITY ASSURANCE

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