Javad Ibrahimli

Computer Vision and AI Researcher · M.Sc. Computer Science Student

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cenabibrahimov [at] gmail.com

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I graduated in Electronics and Communication Engineering from Istanbul Technical University and am now pursuing my M.Sc. in Computer Science there, specializing in Computer Vision and Artificial Intelligence. I focus on end-to-end AI and Computer Vision project development.

I currently work as a Computer Vision & AI Engineer at Divit, building production computer vision and edge AI systems. Previously, I was an autonomous driving software engineering intern at ADASTEC and .

My expertise includes Vision Transformers (ViTs), Vision Language Models (VLMs), real-time vision systems, and signal processing. I build complete AI systems covering project architecture, model development, MLOps, and deployment optimization.

Research Interests: robotics, autonomous vehicles, vision-language models (VLMs), vision-language-action (VLA) models, and efficient inference for running models on memory-constrained systems.

Feel free to connect for collaboration opportunities!

~ News
  • [Oct, 2026] ~ $ Started my M.Sc. in Computer Science at Istanbul Technical University
  • [Jul, 2026] ~ $ Graduated from Istanbul Technical University with a B.Sc. in Electronics and Communication Engineering! Starting my M.Sc. in Computer Science at ITÜ next semester.
  • [Jul, 2026] ~ $ My paper was published on IEEE Xplore: Autonomous Food Quality Control Using Edge Computing and Centralized Server-Based Vision-Language Models, presented at the 2026 34th Signal Processing and Communications Applications Conference (SIU).
  • [May, 2026] ~ $ My project was accepted to the Tubitak 2209B program.
  • [Oct, 2025] ~ $ Started my graduation project on Visual Language Models (VLMs) under the leadership of Prof. Dr. Behçet Uğur Töreyin and Prof. Dr. Ender Mete Ekşioğlu
  • [Feb, 2025] ~ $ Started research on Visual Language Models
  • [Sep, 2021] ~ $ Started my Bachelor’s degree in Electronics and Communication Engineering at Istanbul Technical University (ITÜ)

Machine Learning Demo - Hopfield Networks

The retrieve pattern is ... :drum:
(Steps: 0/3000)

The Nobel Prize in Physics 2024 is awarded to John Hopfield and Geoffrey Hinton! (see here) The Hopfield network is inspired by the Ising model. Hopfield network acts as a dynamic energy system where neurons interact to reach stable, low-energy states, similar to particles finding equilibrium in a physical system. The energy function is given by \[ E = -\frac{1}{2} \sum_{i \neq j} W_{ij} s_i s_j - \sum_{i} b_i s_i, \] where neuron interactions mimic energy exchanges, guiding the network to "remember" stored patterns (see a nice blog post).