Research Asistant

Dr. Gökhan Azizoğlu

Dr. Gökhan Azizoğlu holds bachelor's degrees in Biomedical Engineering and Computer Engineering, as well as a master's degree and a Ph.D. in Computer Engineering from Erciyes University. He currently works as a research assistant in the Department of Computer Engineering at Erciyes University.

His master's research focused on image processing and digital image watermarking. He has also developed machine learning and deep learning-based solutions for disease classification. His doctoral research focused on developing artificial intelligence-based solutions for intelligent urban transportation systems, with the aim of enhancing the effectiveness and efficiency of urban mobility.

His research interests include artificial intelligence, machine learning, deep learning, computer vision, and intelligent transportation systems.

Contact

Total
Projects

50+

Academic
Publications

10+

Citation
Count

50+

Conference
Participation

5+

Student
Supervision

100+

Expertise

Computer Vision
Deep Learning
Machine Learning
Data Hiding
Image Watermarking
Flutter
Python
Java
MATLAB
.Net Core
C
C#
HTML
CSS
JavaScript
React Native
SQL
CISCO CCNA
NodeJS
JIRA
Trello

Resume

Education

2021-2026

Erciyes University

Ph.D. in Computer Science

Artificial intelligence-based solutions for urban intelligent transportation. GPA:4.0

2020-2021

Erciyes University

M.Sc. in Computer Science

Digital image watermarking. GPA:3.88

2016-2019

Erciyes University

B.Sc. in Computer Science

2011-2015

Erciyes University

B.Sc. in Biomedical Engineering

Experience

2023 - Current

Erciyes University

Research Assistant in Computer Engineering

Conducting doctoral research on AI-driven solutions for urban intelligent transportation systems, with a specific focus on driver distraction detection to enhance road safety and traffic efficiency.

2022-2023

Sivas Cumhuriyet University

Research Assistant in Computer Engineering

Conducting doctoral research on AI-driven solutions for urban intelligent transportation systems, with a specific focus on driver distraction detection to enhance road safety and traffic efficiency.

2020-2022

Sivas Cumhuriyet University

Research Assistant in Software Engineering

Conducted graduate research on digital image watermarking and data hiding techniques, focusing on secure information embedding and robustness against tampering in multimedia content.

2020-2020

Cappadocia University

Research Assistant in Management Information Systems

Conducted graduate research on digital image watermarking and data hiding techniques, focusing on secure information embedding and robustness against tampering in multimedia content.

2018-2020

Kayseri Ulaşım A.Ş.

ERP and Software Development Lead

Led project management activities in various R&D projects focused on ERP systems and software development. Utilized Agile and Scrum methodologies to coordinate cross-functional teams, streamline development processes, and ensure timely and efficient delivery of solutions aligned with organizational goals.

2017-2018

Kayseri Ulaşım A.Ş.

R&D Engineer

Developed various kiosk and desktop applications using C#. Built web applications with ASP.NET MVC and .NET Core. Designed and implemented AI models leveraging computer vision, machine learning, and deep learning techniques. Also contributed to infrastructure planning by designing fiber optic network topologies for existing projects.

2017-2017

Kayseri Ulaşım A.Ş.

IT Systems Engineer

Gained hands-on experience in SQL database management systems and enterprise applications such as Logo, QDMS, and MAXIMO ERP. Proficient in virtualization technologies including Citrix, VMware, and Hyper-V. Skilled in server administration, network configuration, and storage systems (NAS, SAN). Also experienced in backup and replication strategies to ensure data integrity and system reliability.

Dr. Gökhan Azizoğlu

Research & Publications

My research focuses on artificial intelligence, computer vision and intelligent transportation systems, with additional work in digital image watermarking and applied machine learning.

Google Scholar GitHub Research enquiries

Research Focus

Intelligent Transportation

Driver distraction detection, multi-perspective learning and computer vision for road safety.

Image Integrity & Watermarking

Reversible and robust watermarking, tamper localization and digital image authentication.

Applied Machine Learning

Image-based prediction and data-driven methods for agriculture and other real-world applications.

Journal Articles

2026Scientific Reports

Driver distraction detection using a perspective-integrated multi-task and multi-expert learning framework

Gökhan Azizoğlu, Ahmet Nusret Toprak

PIMENet combines body, face and hand perspectives through a multi-expert, multi-task framework to study driver distraction detection.

Read article Source code Software archive

2026Agriculture · 16(14), 1566

Seed and Oil Yield Prediction of Safflower (Carthamus tinctorius L.) Using UAV-Based Multispectral Imaging and Machine Learning Algorithms

İzzet Bozdemir, Fatma Azizoğlu, Gökhan Azizoğlu, Aziz Şatana, Ahmet Nusret Toprak, Ali Ünlükara

This study evaluates UAV multispectral imagery, vegetation indices, feature selection and machine learning for predicting safflower seed and oil yields.

Read article Source code

2024IEEE Access · 12, 186022–186034

MELD3: Integrating Multi-Task Ensemble Learning for Driver Distraction Detection

Gökhan Azizoğlu, Ahmet Nusret Toprak

MELD3 studies driver distraction detection using multi-task ensemble learning and complementary visual perspectives.

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2023Biomedical Signal Processing and Control · 84, 105015

A novel reversible fragile watermarking method in DWT domain for tamper localization and digital image authentication

Gökhan Azizoğlu, Ahmet Nusret Toprak

A reversible watermarking method combines wavelet-domain embedding and optimization to detect image tampering while allowing lossless recovery of the original image.

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