Yavuz Yarici

Ph.D. Student at Georgia Tech

prof_pic.jpg

OLIVES Lab

Georgia Institute of Technology

Atlanta, GA, USA

I am a Ph.D. student in Electrical and Computer Engineering at the Georgia Institute of Technology, advised by Prof. Ghassan AlRegib. My research focuses on machine learning, computer vision, and image processing.

Prior to joining Georgia Tech, I received my B.Sc. degree in Electrical and Electronics Engineering from Bilkent University in Turkey.

Education

2022 - Present Georgia Institute of Technology, Atlanta, GA
Ph.D. in Electrical and Computer Engineering
2018 - 2022 Bilkent University, Ankara, Turkey
B.Sc. in Electrical and Electronics Engineering

Experience

2022 - Present OLIVES Lab, Georgia Tech, Atlanta, GA
Graduate Research Assistant
May 2025 – Dec 2025 Amazon Lab126, Sunnyvale, US
Applied Science Intern
2021 - 2022 Hyperbee AI, San Francisco Bay Area, CA
Research Engineer
2022 Nurol Machine, Ankara, Turkey
Part-Time Research Engineer
2020 - 2022 ICON Lab (Imaging and Computational Neuroscience), Ankara, Turkey
Undergraduate Researcher

Selected Publications

  1. Explaining Representation Learning with Perceptual Components
    Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, and AlRegib Ghassan
    In IEEE International Conference on Image Processing (ICIP), 2024
    PDF Code
  2. Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
    Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, and Armin Parchami
    In IEEE International Conference on Image Processing, 2024
    PDF
  3. Hierarchical and multimodal data for daily activity understanding
    Ghazal Kaviani, Yavuz Yarici, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, and Ameya Patil
    arXiv preprint arXiv:2504.17696, 2025
    PDF Code Website
  4. Subject Invariant Contrastive Learning for Human Activity Recognition
    Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, and Ghassan AlRegib
    In 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), 2025
    PDF Code