مهیار فردین‌فر

نام و نام خانوادگی : مهیار فردین‌فر

ایمیل : mahyarfardinfar@gmail.com

Skils:

• Python: Numpy, Matplotlib, Seaborn, Scipy, Pandas, PIL, Sklearn, Tensorflow, Keras, Pytorch, Torchvision, Torchaudio
• Problems solving: Java, C++, Julia Web application development: HTML, CSS, SASS/SCSS, Bootstrap, JS, JQuery, React, React Hooks, React Router, Next, Tailwind
• Machine learning: Supervised learning, Unsupervised learning, Reinforcement learning, Medical imaging, Mathematical modeling, Probabilistic modeling, Statistical modeling, Vision transformers
• Neural networks: Image processing, Image classification, Image segmentation, 3D Neural networks, Object Detection, Pix2Pix models, Variational autoencoders, Generative adversial networks
• System: Ubuntu 18.04 - 20.4, Kubuntu 22.04, Bash script, Bat script
• Project management: Scrum, Agile, Kanban, Trello 3D animation and design: Blender

Projects:

• Sign language number detection   
• Image noise reduction using neural networks
• Brain tumor detection and segmentation using 3d convolutional neural networks
• Music generation using GANs, Signal processing and RNNs
• 3D sport modeling
• Monoculat depth estimation
• Children kidney tumor classification using VIT and VAE
• Solving taxi task using convolutional DQNs

Brief:

I am Mahyar Fardinfar, an AI researcher at the ADL Lab at Tabriz University, where I am dedicated to advancing the field of artificial intelligence with a focus on computer vision and signal processing. My academic background in statistics and software engineering has fueled my fascination with AI's transformative potential, enabling us to interact with technology and each other in unprecedented ways. This journey in the dynamic realm of AI is driven by my passion for innovation and a commitment to tackling complex and engaging challenges.

My research primarily centers on medical imaging, where I investigate advanced neural network architectures, including Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Vision Transformers (ViTs), utilizing Python and its extensive libraries. I am convinced that the insights derived from my research can significantly contribute to addressing critical issues in healthcare, robotics, and finance, thereby enhancing our understanding of intelligent systems and their applications.

In addition to my research pursuits, I am deeply committed to mentoring the next generation of AI enthusiasts. I actively engage in teaching and outreach initiatives, sharing my knowledge and experiences with students and the broader community. My eagerness to learn new techniques and tools for software development and automation of integrated software and hardware systems drives my continuous growth. Furthermore, I advocate for open-source software and enjoy contributing to public projects, believing that collaboration and transparency are key to advancing technology for the benefit of all.