This is

Amir Ezzati

I'm a Master's student in Computer Engineering with a focus on Artificial Intelligence and Bioinformatics, currently working as a Research Assistant at Sharif University of Technology.

My research broadly focuses on the trustworthiness and reliability of machine learning systems. In this context, I investigate challenges in vision-language models (VLMs), such as hallucination and limited reasoning capabilities, which directly impact their reliability and alignment with real-world expectations. I'm also exploring the application of AI in medicine, with a focus on developing trustworthy medical AI systems and advancing toward medical AGI—models capable of safely understanding and reasoning over complex medical images.

With a strong foundation in computer science, mathematics, and machine learning, I bring both depth and adaptability to AI research across a variety of domains.

Experience

Research Assistant

Education

Research Interests & Skills

Certifications

• Machine Learning specialization

  Organization: DeepLearning.AI Instructor: Andrew Ng

  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning
• Deep Learning specialization

  Organization: DeepLearning.AI Instructor: Andrew Ng

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
• Reinforcement Learning specialization

  Organization: University of Alberta Instructor: Martha White & Adam White

  • Fundamentals of Reinforcement Learning
  • Sample-based Learning Methods