Ferhat Bozkurt (0000-0003-0088-5825)

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Biography

Ferhat Bozkurt was born in Erzurum, Turkey in 1982. He received Computer Engineering degree from Dokuz Eylül University, İzmir, in 2007, the M.Sc. degree from Atatürk University, Erzurum, in 2012, and the Ph.D. degree from Karadeniz Technical University, Trabzon, in 2018. From 2007 to 2010, he was a software developer at a company. From 2011 to 2018, he was a research assistant at department of computer engineering, Ataturk University. From 2019 to 2022, he was an Assistant Professor at department of computer engineering, Ataturk University. Since 2022, he has been an Associate Professor with the department of computer engineering, Ataturk University. His research interests include medical image processing, computer vision, artificial intelligence, machine learning, and data science.

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Ataturk University: Erzurum, Turkey, TR

2022-09-22 to present | Associate Professor (Computer Engineering)

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Ferhat Bozkurt

https://orcid.org/0000-0003-0088-5825

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Biography

Activities

Employment (3)

Ataturk University: Erzurum, Turkey, TR

Atatürk University: Erzurum, TR

Atatürk University: Erzurum, TR

Education and qualifications (3)

Karadeniz Technical University: Trabzon, Trabzon, TR

Ataturk University: Erzurum, Turkey, TR

Dokuz Eylül University: Izmir, Turkey, TR

Works (22)

Development of a Clinical Decision Support System Using Artificial Intelligence Methods for Liver Transplant Centers

Domain Effect Investigation for Bert Models Fine-Tuned on Different Text Categorization Tasks

CNN-Based Colon Cancer Recognition Model

Xgboost-Based Multi-Steps Cybersecurity Attacks Detection Model

Analyzing Big Social Data for Evaluating Environment-Friendly Tourism in Turkey

Design and validation of IoT based smart classroom

Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach

White Blood Cell Classification Using Convolutional Neural Network

Analysis of the Effectiveness of Various Machine Learning, Artificial Neural Network and Deep Learning Methods in Detecting Fraudulent Credit Card Transactions

A Study on CNN Based Transfer Learning for Recognition of Flower Species

A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images

Classification of Blood Cells from Blood Cell Images Using Dense Convolutional Network

A Comparative Study on Classifying Human Activities Using Classical Machine and Deep Learning Methods

Comparison of Different Machine and Deep Learning Techniques to Predict Air Quality Index: A Case of Kocaeli Province

Local Binary Pattern Based COVID-19 Detection Method Using Chest X-Ray Images

A comparison of various supervised machine learning techniques for prostate cancer prediction

A texture-based 3D region growing approach for segmentation of ICA through the skull base in CTA

High Performance Twitter Sentiment Analysis Using CUDA Based Distance Kernel on GPUs

An inverse approach for automatic segmentation of carotid and vertebral arteries in CTA

Comparison of seeded region growing and random walk methods for vessel and bone segmentation in CTA images

Segmentation of carotid arteries in CTA images using region-based active contours and classification

Effective Gaussian Blurring Process on Graphics Processing Unit with CUDA

Peer review (92 reviews for 6 publications/grants)