Yasin Esfandiari
@yasinesfandiari
M.Sc. student specializing in Visual Computing and AI research.
What I'm looking for
As a dedicated M.Sc. student in Visual Computing at Universität des Saarlandes, I am passionate about advancing the field of artificial intelligence through innovative research. My thesis focuses on the Image Quality-Likelihood trade-off in Diffusion Models, where I explore the balance between image quality and likelihood, aiming to implement new ideas that enhance both aspects.
During my time as a Student Research Assistant at CISPA, I contributed to projects involving Secure Code Generation and Deepfake Text Detection, fine-tuning large language models for practical applications. My experience spans various domains, including Disentangled Representation Learning and Federated Learning, where I analyzed unsupervised methods and metrics, showcasing my ability to tackle complex challenges in AI and machine learning.
With a strong foundation in programming languages such as Python and C++, alongside tools like PyTorch and Keras, I am equipped to develop cutting-edge solutions in computer vision and generative AI. I am eager to leverage my skills and knowledge in a dynamic environment that fosters innovation and collaboration.
Experience
Work history, roles, and key accomplishments
Master Thesis Student
Helmholtz AI
Dec 2023 - Present (1 year 5 months)
Currently working on a thesis project focused on the Image Quality-Likelihood trade-off in Diffusion Models, implementing new ideas to enhance both image quality and likelihood.
Student Research Assistant
CISPA – Helmholtz Center for Information Security
Apr 2023 - Sep 2023 (5 months)
Assisted in projects related to Secure Code Generation via LLMs and Deepfake Text Detection, focusing on fine-tuning LLMs for code generation and implementing related research papers.
Student Research Assistant
CISPA – Helmholtz Center for Information Security
Mar 2022 - Mar 2023 (1 year)
Conducted research on Disentangled Representation Learning and Federated Learning, analyzing unsupervised methods and metrics in data heterogeneity.
Teaching Assistant
Shahid Rajaee Teacher Training University
Jan 2019 - Aug 2019 (7 months)
Supported courses in Advanced Programming with C++, Computational Intelligence, and Data Structures, assisting students in understanding complex concepts.
Software Developer Intern
Rahkar Hooshmand Iranian
Jun 2018 - Sep 2018 (3 months)
Developed a blog CMS, forum, and eCommerce website using PHP and Laravel, enhancing web development skills and understanding of backend technologies.
Full-stack Web Application Developer
Rahkar Hooshmand Iranian
Jul 2016 - Jan 2018 (1 year 6 months)
Created websites connecting employers with job seekers and providing academic supervision, utilizing full-stack development skills.
Education
Degrees, certifications, and relevant coursework
Universität des Saarlandes
Master of Science, Visual Computing
2021 -
Grade: 1.6
Activities and societies: Thesis Topic: Image Quality-Likelihood trade-off in Diffusion Models.
Pursuing a Master of Science in Visual Computing with a focus on image quality and diffusion models. Courses include Advanced Image Analysis, High-level Computer Vision, and Machine Learning.
Shahid Rajaee Teacher Training University
Bachelor of Science, Software Engineering
2015 - 2019
Grade: 17.11 / 20
Activities and societies: Thesis Topic: Development and Implementation of an Image Content Descriptor System.
Completed a Bachelor of Science in Software Engineering with a strong focus on image processing and deep learning. Developed an image content descriptor system as a thesis project.
Allameh Helli High School
Diploma, Mathematics and Physics
2011 - 2015
Grade: 18.67 / 20
Graduated with a diploma in Mathematics and Physics, affiliated with the National Organization for Development of Exceptional Talents (NODET).
Availability
Location
Authorized to work in
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