Lev Ayzenberg

Direct Track PhD Candidate | Deep Learning & Computer Vision Researcher

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About Me

I'm a Direct Track PhD Candidate at Tel Aviv University, specializing in Deep Learning Networks and Computer Vision. My research, under the guidance of Professors Raja Giryes and Hayit Greenspan, focuses on pushing the boundaries of AI in image analysis and understanding. With a strong background in Electrical Engineering and a passion for innovation, I'm dedicated to advancing the field of Artificial Intelligence.

Experience

Deep Learning Algorithm Engineer

RADLogics Inc. | Feb 2024 - Present | Part-time

Developing cutting-edge deep learning algorithms for medical imaging applications.

Computer Vision Research Student

Tel Aviv University | Oct 2022 - Present | Full-time

Conducting research in diffusion models and advanced computer vision techniques using PyTorch.

Embedded Software Engineer

Classified | Apr 2021 - Sep 2022 | Full-time

Developed embedded software solutions for advanced systems.

Hardware Engineer

Classified | Nov 2018 - Apr 2021 | Full-time

Designed and implemented hardware solutions for complex systems.

Technical Officer

Israel Defense Forces | Nov 2017 - Nov 2018 | Full-time

Served as a Technical Officer, applying engineering skills in a military context.

Education

Doctor of Philosophy - PhD, Electrical Engineering

Tel Aviv University | May 2024

Direct Track PhD with a specialization in Deep Learning Networks and Computer Vision

Master of Science - MS, Electrical and Electronics Engineering

Tel Aviv University | 2020 - 2024

Grade: 93

Skills

Artificial Intelligence (AI) Computer Vision Deep Learning PyTorch Diffusion Models Embedded Software Hardware Engineering Docker Generative AI

Honors & Awards

Excellence scholarship for academic achievements

Issued by Tel Aviv University | Jun 2024

Apple Excellence Award

Issued by Apple | Jan 2023

Apple's excellence award for academic achievement and social contribution.

Contact Me

Interested in collaborating on cutting-edge AI research or learning more about my work in Deep Learning and Computer Vision? I'm always open to new opportunities and discussions in the field.

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