Ilker Ali OZKAN

Ilker Ali OZKAN

Assoc.Prof.Dr.

Selcuk University

Biography

Assoc. Prof. Dr. Ilker Ali OZKAN was born in 1978 in Konya. He completed his undergraduate studies and graduated in 2003, obtained his master’s degree in 2006 and obtained his Ph.D. in 2013 at Selcuk University. He worked as a research assistant in Selcuk University, Faculty of Technical Education, Department of Computer and Electronic Systems Education and in Computer Engineering Department of Faculty of Technology between 2005-2013. Currently, he is working as an Assoc.Prof.Dr. at Selcuk University, Computer Software Department of Faculty of Technology.

Interests
  • Artificial Intelligence and its Applications
  • Biomedical Systems
  • Data Mining and Applications
  • Intelligent Control Applications
  • Hardware Definition Languages(VHDL)
Education

  • PhD, FPGA based adaptive controller design and implementation for electromagnetic filters, 2013

    Selcuk University, Electrical&Electronics engineering

  • MS, Predicting of cutting forces and tool tip temperature in turning using fuzzy logic and artifitical neural network techniques, 2006

    Selcuk University,Department of Electronics and Computer Education

Recent Posts

An Introduction to Data Science
http://www.saedsayad.com/data_mining_map.htm
An Introduction to Data Science
Publish or Perish
Publish or Perish is a software program that retrieves and analyzes academic citations. It uses a variety of data sources (incl. Google Scholar and Microsoft Academic Search) to obtain the raw citations, then analyzes these and presents the following metrics:
Publish or Perish
Academic Phrasebank
The Academic Phrasebank is a general resource for academic writers. It aims to provide you with examples of some of the phraseological ‘nuts and bolts’ of writing organised according to the main sections of a research paper or dissertation

Thesis Supervised

Adaptive Control of Welding Robot with FPGA
Depending on the development of robotic technologies and systems, robots have begun to be preferred in the industry for jobs that are …
Abdulkadir Saday
PDF
Improving Capsule Network Based Deep Learning Architectures for Classification of Medical Images
Subtle details in medical images can be crucial in disease diagnosis. Therefore, these images need to be analyzed accurately and …
Sumeyra Busra Sengul
PDF
DESIGN OF IMPROVED HYBRID LOAD BALANCING ALGORITHM FOR CLOUD COMPUTING ALGORITHM
Cloud computing is one of the leading technological advancements in the 21st century. Cloud computing can be defined as the delivery of …
LENCHO MIESSO BOKIYE
PDF
Short term load estimation with artificial intelligence methods
Electric load estimation is very important in efficient operation of power systems and future planning. Load estimation is based on …
Vildan Evren
PDF
Optimization of extreme learning machine parameters with metaheuristic algorithms
Feedforward neural networks are a very popular and frequently used network architecture in many predictive applications. In these …
Musa Dogan
PDF
See all

Patents

Adaptive Control Electromagnetic Filter Employing Artificial Intelligence Methods

The invention relates to a kit consisting of an adaptive control unit employing artificial intelligence methods that is used for the …

İSMAİL SARITAS, Ilker Ali Ozkan, SAADETDİN HERDEM

Recent Publications

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Abdulkadir Saday (2024). Adaptive Control of Welding Robot with FPGA.

PDF

Sumeyra Busra Sengul (2024). Improving Capsule Network Based Deep Learning Architectures for Classification of Medical Images.

PDF

Musa Dogan, Ilker Ali Ozkan (2024). Automated Hair Segmentation in Dermoscopy Images with U-Net Based Approaches. *2024 13th Mediterranean Conference on Embedded Computing (MECO) *.

Cite DOI

Musa Dogan, Ilker Ali Ozkan (2024). Performance Evaluation of U-Net Based Methods for Lesion Segmentation from Dermoscopy Images. *International Conference on Intelligent Systems and New Applications (ICISNA'24) *.

PDF DOI

Sumeyra Busra Sengul, Ilker Ali Ozkan (2024). A Novel Hybrid Approach: Capsule Network Enhanced with Residual Block and CBAM Module for Medical Image Classification. *International Conference on Intelligent Systems and New Applications (ICISNA'24) *.

PDF DOI

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Popular Topics

Adaptive control ANFIS Artificial Intelligence Artificial intelligence methods Artificial neural networks Classification Complex image Data Visualization decision tree Deep learning Dry bean Fuzzy control fuzzy expert system Image processing machine learning Medical Decision Support System MSc Thesis Supervised PhD Thesis Supervised Statistics Transfer learning

Contact

Assoc.Prof.Dr. Ilker Ali OZKAN