Aveen Hussein

Master's student @ITMO University

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219

Birzhevaya Liniya, 14

Saint Petersburg, 197022

I am a Master’s candidate in System and Applied Software Engineering at ITMO University.

Currently, I work as a Research Assistant at the Institute of Laser Technology (ILT ITMO), where I develop real-time monitoring and control systems for laser welding quality inspection. My work involves building data augmentation frameworks using Stable Diffusion, implementing segmentation models, and creating multi-modal analysis pipelines with OpenCV and OCR technologies.

I hold a B.Eng. in Software Engineering and Intelligent Systems from the Higher Institute of Applied Sciences and Technology (HIAST) in Damascus, Syria, where I worked on autonomous vehicle simulations using deep reinforcement learning in Unity under the supervision of Dr. Imad Issa and Dr. Omar Hamdoun. I also contribute to urban planning simulations at the COSM Lab, where I work on my thesis supervised by Dr. Ivan Perl.

news

Jun 27, 2025 Happy to have participated at FLAMN 2025, presenting “INTELLIGENT WELD INSPECTION: MACHINE LEARNING-DRIVEN DEFECT DETECTION FOR AUTOMATED LASER WELDING QUALITY CONTROL.”
Apr 18, 2025 Our paper “Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep Learning” was accepted at GECCO-2025!

selected publications

  1. Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep Learning
    Gleb Solovev, Mikhail Sokolov, Aveen Hussein, and 1 more author
    In Proceedings of the Genetic and Evolutionary Computation Conference Companion, NH Malaga Hotel, Malaga, Spain, 2025
  2. Intelligent Weld Inspection: Machine Learning-driven Defect Detection for Automated Laser Welding Quality Control
    Aveen Hussein, M. Sokolov, and G. Solovev
    2025
    In: Proceedings of FLAMN 2025, p. 160