Assistant Professor of Computer Engineering at Mersin University
Generative AI researcher, developer & educator · Founder of SECourses
Mersin, Türkiye
I turn AI research into practical tools, reproducible workflows, and detailed technical education.
From preparing a dataset to training a model — and explaining every step.
Statistics · Projects · 2026–2027 courses · Toolbox · Research · Connect
Statistics sources & exact figures · checked 25 October 2026
| Metric | Public figure | Source |
|---|---|---|
| YouTube subscribers | 53.9K | SECourses channel |
| Published YouTube videos | 469 | SECourses channel |
| Total YouTube channel views | 5,398,689 | Channel information |
| Discord members | 12K+ | SECourses community |
| Public GitHub repositories | 267 | Public GitHub profile data |
| GitHub followers | 1,246 | Public GitHub profile data |
| Stable-Diffusion hub stars / forks | 2,781 / 373 | Repository data |
| Hugging Face model repositories | 88 | MonsterMMORPG |
| Wan_GGUF downloads in the last month | 68,531 | Model repository |
| Published DEV posts | 236 | DEV profile |
| Academic articles listed by the university | 11 | Mersin University record |
These are dated public figures. Wan_GGUF downloads cover that model repository's rolling monthly window. The live counters and activity cards below may be newer or temporarily cached.
Cards refresh through external providers and can be cached. Language shares describe repository code, not proficiency.
| What would you like to do? | A good place to begin |
|---|---|
| Learn practical generative AI | AI guides & workflows · SECourses videos |
| Prepare data and train models | Image preparation → Captioning → Musubi training |
| Follow a structured course | Generative AI · Software Engineering · Blender |
| Explore my academic work | Publications & research materials · Google Scholar |
I build tools for the full workflow: set up → prepare data → train → generate → evaluate.
|
LEARN · EXPLORE
The SECourses knowledge base. Practical tutorials, installation guides, experiments, and resources for image, video, audio, training, and inference. |
TRAIN · FINE-TUNE
Train image and video models. LoRA/DoRA, supported full fine-tuning, GPU presets, model downloads, and checkpoint evaluation in a practical training environment. |
|
PREPARE · CLEAN
Build better training datasets. Batch crop and resize, segmentation and masking, face extraction, tiling, and duplicate cleanup. |
CAPTION · ORGANIZE
Turn images into useful descriptions. Batch captions, editable JSON prompts, Qwen vision and JoyCaption models, reusable presets, and multi-GPU options. |
|
INSTALL · GENERATE
Get from installation to generation. Automated setup, curated image/video model downloads, and presets for Windows and cloud GPU environments. |
RESEARCH · REPRODUCE
Explore the work behind the papers. Publications, theses, and supporting research materials spanning computer vision, optimization, record linkage, and more. |
Access varies by project: public code and documentation are available in the linked repositories; some installers, bundles, and additional resources require a SECourses Patreon membership. See each project for its license and download options.
October 2026 update: Musubi Trainer v37 adds FLUX.3 Klein and MOSS-Image training, with new DoRA and checkpoint tools. Browse all repositories →
Structured courses with companion files, examples, and practical exercises. New materials are added as lectures are released.
| Course | What you can explore |
|---|---|
| Generative AI Tools & Techniques | Local setup, ComfyUI workflows, image editing, composition control, and a roadmap into training and multimodal generation. |
| Software Engineering | Interactive lecture decks and printable notes, with a worked example connecting requirements, design decisions, and reliable software. |
| Blender | Build the Lumen Field Station through modeling, materials, and rendering, with project files and checkpoints for each released lecture. |
Watch the lessons on YouTube →
AI & model engineering
Generation, development & deployment
I focus on reproducible workflows, efficient GPU use, useful datasets, and clear documentation.
My research connects AI, computer vision, optimization, data mining, and databases. Recent publications include:
- Structure-Aware RGB Channel Reconstruction for YOLOv8-Based Oyster Mushroom Detection
Agriculture, 2026 · Computer vision and agricultural detection. - Directional Alignment Penalty: A Lightweight Localization Loss for Improved Bounding Box Regression in YOLOv8
Applied Sciences, 2026 · Object detection and bounding-box localization. - Implementation of Modified Effective Butterfly Optimizer in Solving Multi-Objective Pareto Optimal Power Flow Problem with Renewable Uncertainties
Biomimetics, 2026 · Multi-objective optimization and renewable-energy systems. - Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms
IEEE Access, 2025 · Machine learning and air-writing recognition.
University profile · Google Scholar · ORCID · All research materials
Academic background, technical interests & earlier work
| Degree | Institution | Year |
|---|---|---|
| Ph.D. in Computer Engineering | Çukurova University | 2016 |
| M.Sc. in Computer Engineering | Mersin University | 2012 |
| B.Sc. in Computer Engineering | Istanbul Technical University | 2009 |
I am an Assistant Professor in the Department of Computer Engineering at Mersin University. Previous appointments include Istanbul Arel University (2023–2024) and Toros University (2018–2023).
- Generative AI: image, video and audio workflows; vision-language models; LoRA and fine-tuning; captioning and dataset preparation.
- Performance and reproducibility: PyTorch, CUDA, quantization, VRAM optimization, fair benchmarking, tested presets, and local/cloud GPU workflows.
- Software development: Python, C#, .NET, ASP.NET Core MVC, SQL Server, web development, and automation.
- Research: computer vision, NLP, optimization, record linkage, e-commerce data systems, sentiment analysis, and digital forensics.
- An Incremental Hierarchical Clustering Based System for Record Linkage in E-Commerce Domain — The Computer Journal, 2023.
- Challenges and Possible Severe Legal Consequences of Application Users Identification from CNG-Logs — Forensic Science International: Digital Investigation, 2021.
I am the founder and solo developer of Monster MMORPG and PokemonPets, long-running browser games built around exploration, collecting, training, and battling.
Earlier resources: Software Engineering CSE307 (2020) · Sentiment Analysis · Background Replacement.
I welcome academic, open-source, benchmarking, reproducibility, and educational collaborations.
YouTube · Discord · Hugging Face · LinkedIn · X
If my work helps you, star a repository, share a tutorial, or contribute a reproducible issue report. You can support ongoing development and education through Patreon or GitHub Sponsors.
All profiles, articles, models & community links
| Find me on | Links |
|---|---|
| Writing | Medium · DEV Community · HackerNoon |
| Models & creative work | Hugging Face · CivitAI · DeviantArt |
| Video | YouTube · Rumble · BiliBili |
| Community | Discord · r/SECourses · Reddit profile · Stack Overflow |
| Social | LinkedIn · X · Mastodon · Instagram · Threads · TikTok · Facebook |
| Academic | Mersin University · Google Scholar · ORCID · Web of Science |
| Support | Patreon · GitHub Sponsors |
Research carefully. Benchmark fairly. Document everything.
Make advanced technology accessible.