Hello, I'm Yassine Ibork

PhD Student in Computer Science specializing in computer vision, machine learning, and autonomous systems.

Yassine Ibork

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

PythonJavaScriptJavaCSQLProlog

Web Technologies

ReactNode.jsDjangoFlaskNext.js

MLOps

MLflowAirflowZenMLDVC

Tools & DevOps

DockerKubernetesGitCI/CD

Education

August 2024 - Present

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.

September 2020 - May 2024

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

DLD

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

May 2024

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

V2X Communication for Autonomous Vehicles

Developed a reinforcement learning-based solution for autonomous vehicles using V2X communication to improve vehicle coordination, traffic density awareness, and decision-making in real-time.

Reinforcement LearningV2XAutonomous Vehicles

Chat Counselor - Mental Health Assistant

Built a voice-enabled mental health assistant designed to provide users with immediate support. Uses Llama model and AWS APIs for speech recognition and synthesis.

Llama AIAWSSpeech RecognitionMental Health

Landfill Management Platform

Developed a landfill detection platform using computer vision and aerial imagery to classify and segment landfill areas with deep learning models.

Computer VisionMLOpsAirflowMLflowDVC

Smart Cane for Visually Impaired

Co-developed a smart cane that predicts the color and type of clothing to assist visually impaired individuals in shopping.

Edge ComputingMLOpsMoroccan Darija NLP

Get In Touch

I'm always open to discussing new projects, creative ideas, and opportunities to be part of your vision.

Contact Information

Let's Connect

Feel free to reach out for collaborations or just a friendly chat!

Send Me a Message