Hello, I'm Yassine Ibork
PhD Student in Computer Science specializing in computer vision, machine learning, and autonomous systems.
PhD Researcher
About Me
I'm a passionate software engineer with interests in full-stack development, machine learning, and computer vision. I love building innovative solutions to complex problems.
Technical Skills
Programming Languages
Web Technologies
MLOps
Tools & DevOps
Education
Phd in Electrical Engineering and Computer Science
Wichita State University, Wichita, KS, USA
Currently pursuing graduate studies in Computer Science, focusing on advanced topics in AI and reinforcement learning.
Bachelor of Computer Science, Minor in Business Administration
Al Akhawayn University, Ifrane, Morocco
Graduated Summa Cum Laude with focus on software engineering and machine learning.
Certifications
AWS Certified Cloud Practitioner
Supervised Machine Learning: Regression and Classification
Convolutional Neural Networks
Neural Networks and Deep Learning
Research
Currently pursuing a PhD in Computer Science at Wichita State University, focusing on computer vision and machine learning applications for autonomous systems.
Research Interests
- Computer Vision and Deep Learning
- Autonomous Systems
- Multi-modal Learning
- MLOps and Model Deployment
- Edge AI Computing
Advisor
Dr. Lokesh Das
Professor of Computer Science
Wichita State University
Department
Department of Electrical Engineering and Computer Science
Research Focus
Reinforcement Learning and Autonomous Vehicles
Publications
Landfill Detection Using Computer Vision and Aerial Imagery
IEEE ISCV Conference
Novel approach to automatically detect and classify landfill sites from aerial imagery using deep learning techniques and computer vision algorithms.
Research Highlights
Computer Vision
Exploring advanced deep learning architectures for image segmentation, object detection, and scene understanding in complex environments.
Autonomous Systems
Developing intelligent decision-making systems for autonomous vehicles and robots using reinforcement learning and multi-agent coordination.
Edge AI
Implementing efficient neural network architectures optimized for deployment on resource-constrained edge devices.
Multi-modal Learning
Investigating fusion techniques for combining data from multiple sensors (RGB, depth, LiDAR) to enhance perception systems.
Projects
Get In Touch
I'm always open to discussing new projects, creative ideas, and opportunities to be part of your vision.