Kiarash Soleimanzadeh

(pronounced 'kee-aw-rahsh solei-man-za-deh')

I am incredibly interested in machine/deep learning, computer vision, AI for medicine/healthcare, medical image/signal analysis, explainable AI (XAI), virtual reality, generative AI, large language models, multimodal learning, natural language processing, and data analytics to improve quality of life.

I have several years of professional working experience in the software industry at leading companies, where I have worked as a team leader, senior software engineer, and software architect, which gives me a strong engineering foundation for turning research ideas into working systems.

If I’m not developing code, I’m somewhere else, thinking about novel research ideas. Also, my free time is dedicated to playing tennis, hiking, camping, cooking, cycling, reading, swimming, and listening to music. These are my daily activities, so feel free to ask about anything related.

You can also check out my blog; it is my pleasure.

Email  /  Bio  /  Google Scholar  /  Twitter  /  Github  /  Skype

Education

Master's Degree
Information Technology Engineering (Ranked the first student based on GPA)

Bachelor's Degree
Software Engineering

Research

Representative sections/papers are highlighted.

A novel weakly supervised medical image segmentation approach built on SAM to reduce labeling costs.

A smart method to balance requests/loads among servers in data centers.

🏆 This paper has been recognized as a top downloaded paper by Wiley.

A vision-based image analysis system for automated inspection of food packaging in high-speed production lines by combining image processing and deep learning methods.

An innovative NLP-powered tool designed to enhance academic writing on the popular Overleaf platform.

An ultimate guide to linear algebra for AI.

Feel free to steal this website's source code.