COMPUTER VISION · DEEP LEARNING · SAFETY

Intelligent systems.
Safer interaction.

I study how computer vision and deep learning can support safer human–robot interaction and occupational environments.

Bandırma Onyedi Eylül University

01 / ABOUT

Tarık ASLAN

I am a lecturer at Bandırma Onyedi Eylül University. My research brings together image processing, computer vision, mechatronics, and occupational health and safety.

Previously: İstanbul Okan University (2016–2021) and Karadeniz Technical University (2021–2025). At Bandırma Onyedi Eylül University since 2025.

Education

  • 2023
    PhD · Occupational Health and Safety

    İstanbul Gedik University

  • 2022
    MSc · Mechatronics Engineering

    Marmara University

  • 2004
    BSc · Electronics and Communication Engineering

    Kocaeli University

02 / RESEARCH

From perception
to safer systems.

01

Computer vision

Object detection and visual analysis for safety applications.

02

Deep learning & risk analysis

Learning-based methods for detecting and analysing occupational risks.

03

Human–robot interaction

Object detection models to support safety measures around industrial mobile robots.

04

Mechatronics

Design and implementation of coreless alternators, including 3D printing approaches.

03 / PUBLICATIONS

Selected publications

Original publication titles are retained.

2024

Aslan, T. & Yağımlı, M.

İnsan - endüstriyel mobil robot etkileşiminde güvenlik önlemlerinin boyutlandırılması için nesne tespit modeli geliştirme

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi · 39(4), 2197–2207

DOI ↗
2023

Aslan, T. & Yağımlı, M.

İş Sağlığı ve Güvenliğinde Derin Öğrenme Tabanlı Risk Tespit ve Analizi

The Journal of International Scientific Researches · 8(2), 223–236

2023

Şener, S., Fandaklı, S., Yağımlı, M. & Aslan, T.

Eğitim Sektöründe İş Sağlığı ve Güvenliği

The Journal of International Scientific Researches · 8(1), 83–94

2020

Aslan, T. & Aküner, M. C.

3 Boyutlu Yazıcı Desteği ile Nüvesiz Tip Alternatör Tasarımı

ISITES2020 · 23–25 October 2020

04 / CONTACT

Let’s connect
through research.

For academic collaboration and research enquiries.