cv
Basics
| Name | Aveen Hussein |
| Label | Software Engineering & AI Research |
| aveen.hussein@niuitmo.ru | |
| Phone | 7 (985) 794-9129 |
| Url | https://aveen007.github.io |
| Summary | Master's candidate in System and Applied Software Engineering at ITMO University. Research focus on industrial automation, computer vision, and autonomous systems. Experienced in machine learning, simulation development, and software engineering. |
Work
-
2025.01 - Present Research Assistant
Institute of Laser Technology (ILT ITMO)
Advanced research in computer vision and automation for industrial quality control.
- Expanded and refined the automation pipeline initiated during the internship
- Achieved real-time monitoring and control for laser welding quality inspection
- Applied OpenCV edge detection and OCR techniques for multi-modal data analysis
- Presented automation pipeline at GECCO and FLAMN 2025 conferences
-
2024.10 - 2025.01 Computer Vision Engineer (Internship)
Institute of Laser Technology (ILT ITMO)
Computer vision research and development for laser welding defect detection automation.
- Initiated the development of an automation pipeline for defect detection in laser welding processes
- Built the foundation for a data augmentation framework using Stable Diffusion to generate synthetic images for rare classes
- Addressed dataset imbalance through advanced data augmentation techniques
-
2024.09 - Present Research Assistant
COSM Lab
Traffic system development for large-scale urban simulation.
- Developed a traffic system for a large-scale online city building simulator using Godot Engine
- Integrated the system into the 'world dynamic' project for future scalability
- Working on traffic prediction algorithms for urban planning applications
-
2024.01 - Present Python Mentor
Women in Tech Program
Teaching Python programming fundamentals to women entering tech careers.
- Teaching Python programming fundamentals to women entering tech careers
- Providing guidance on software development best practices and career development
- Supporting participants in building practical programming projects
- Helping bridge the gender gap in technology through education and mentorship
Volunteer
-
2017.09 - 2017.12 Physics Teacher
National Center for the Distinguished
Prepared Syrian team for International Physics Olympiad (IPhO).
- Physics teacher for the Syrian team participating in the International Physics Olympiad IPhO
- Mentored and prepared students for international physics competitions
Education
-
2024.09 - 2026.06 Saint Petersburg, Russia
Master's Degree Candidate
ITMO University
System and Applied Software Engineering
- Multi-level organization of software
- System Software
- DevOps
- Architecture of high-load applications
-
2019.09 - 2023.06 Damascus, Syria
Bachelor of Engineering
Higher Institute of Applied Sciences and Technology
Software Engineering and Intelligent Systems
- Machine Learning
- Natural Language Processing
- Computer Vision
- Computer Graphics
Awards
- 2022.01.01
14th Place - Syrian Collegiate Programming Contest (SCPC)
Syrian Collegiate Programming Contest
Competitive programming achievement
- 2021.01.01
18th Place - Syrian Collegiate Programming Contest (SCPC)
Syrian Collegiate Programming Contest
Competitive programming achievement
Certificates
| Python Programming Mentor | ||
| Women in Tech Program | 2024-01-01 |
Publications
-
2025.07.01 Augmentation of Laser Welding Dataset through a Combination of Evolutionary Optimization and Deep Learning
Genetic and Evolutionary Computation Conference (GECCO)
Solovev, G.V., Nikitin, N.O., Sokolov, M.S., & Hussein, A. - Conference Proceedings
-
2025.01.01 Intelligent Weld Inspection: Machine Learning-driven Defect Detection for Automated Laser Welding Quality Control
FLAMN Conference
Hussein, A., Sokolov, M., & Solovev, G. - Abstract Presentation
-
2025.01.01 Defect Detection in Laser Welds: A Segmentation and Data Augmentation Framework for Automated Quality Control
AAAI Conference on Artificial Intelligence
Hussein, A., Sokolov, M., & Solovev, G. - Under Review
Skills
| Programming Languages | |
| C# | |
| C++ | |
| C | |
| Assembly | |
| Python | |
| Java | |
| JavaScript | |
| PHP |
| Machine Learning & AI | |
| PyTorch | |
| scikit-learn | |
| YOLOv8 | |
| Stable Diffusion | |
| Computer Vision | |
| Deep Learning | |
| Reinforcement Learning |
| Development Tools & Frameworks | |
| Unity | |
| Unreal Engine | |
| Docker | |
| Flask | |
| OpenCV | |
| Pandas | |
| Dask | |
| Statsmodels |
| Languages | |
| Arabic (Native) | |
| English (C2) | |
| Russian (B2) | |
| French (B1) |
Languages
| Arabic | |
| Native speaker |
| English | |
| Proficient (C2) |
| Russian | |
| Intermediate (B2) |
| French | |
| Intermediate (B1) |
Interests
| Research Focus | |
| Industrial Automation & Quality Control | |
| Deep Learning for Computer Vision | |
| Autonomous Systems & Simulation | |
| Data Augmentation & Generative AI |
References
| Dr. Ivan Perl | |
| Professor at ITMO University - ivan.perl@itmo.ru |
| Dr. Mikhail Sokolov | |
| Researcher at ITMO University - mikhail.sokolov@itmo.ru |
| Dr. Omar Hamdoun | |
| Professor at HIAST - Omar.Hamdoun@HIAST.edu.sy |
Projects
- 2024.01 - 2025.01
Intelligent Weld Inspection System
- Developed automated weld defect detection pipeline using YOLOv8 segmentation achieving 97.5% accuracy
- Augmented dataset using Stable Diffusion and deep learning models, generating 4,537 synthetic weld images for rare defects
- Implemented real-time monitoring and control system for laser welding quality inspection
- Applied OpenCV edge detection and OCR techniques for multi-modal data analysis
- 2022.01 - 2023.01
Autonomous Vehicle Simulation
- Led research coordination with 6 researchers across CV, Graphics, AI, and Systems Engineering
- Implemented custom physics system in Unity simulating six distinct forces, LiDAR sensor, and cameras
- Created dynamic traffic system using waypoint and pooling for 30 vehicles and 30 pedestrians
- Compared DQN and DDQN control methods, achieving 30 km/h average speed using DQN
- Integrated YOLOv8 and CLR-Net into Unity for real-time lane and object detection
- Achieved 94% evaluation and ranked top graphics project for bachelor's thesis
- 2024.01 - Present
Urban Planning Traffic Simulation
- Developing traffic system for large-scale online city building simulator using Godot Engine
- Integrating system into 'world dynamic' project for future scalability
- Working on traffic prediction algorithms for urban planning applications
- Collaborating with COSM Lab research team on simulation development