đź‘‹ About Me

I am a Ph.D. candidate in Computer Science at the Center of Excellence (COE) in Generative AI (GenAI), advised by Prof. Peter Wonka.
My research focuses on controllable generative AI – in particular diffusion models, vision–language representation learning, and fine‑grained image editing & 3‑D/4‑D content generation.

🔥 News

  • 2025.07 Serving as reviewer for SIGGRAPH Asia 2025.
  • 2025.06  “EditCLIP” accepted to ICCV 2025.
  • 2025.04  “PartEdit” accepted to Siggraph 2025 - see you in Vancouver!
  • 2024.11  Serving as reviewer for CVPR 2025.
  • 2023.11  Serving as reviewer for CVPR 2024.

📝 Publications

PartEdit

PartEdit: Fine‑Grained Image Editing using Pre‑Trained Diffusion Models
ACM SIGGRAPH, 2025
Aleksandar Cvejic, Abdelrahman Eldesokey, Peter Wonka
[PDF] [Code] [Project page]

EditCLIP

EditCLIP: Representation Learning for Image Editing
IEEE ICCV, 2025
Qian Wang, Aleksandar Cvejic, Abdelrahman Eldesokey, Peter Wonka
[PDF] [Code] [Project page]

đź“– Educations

  • 2022 – 2027 Ph.D., Computer Science — King Abdullah University of Science & Technology (KAUST), GPA 3.89/4.00.
  • 2019 – 2021 M.Sc., Computer & Control Engineering — Univ. of Novi Sad, GPA 10/10.
  • 2015 – 2019 B.Sc., Computer & Control Engineering — Univ. of Novi Sad, GPA 9.74/10.

🏆 Honors and Awards

  • 2021.12  3 rd place, STC AIoT Hackathon, Saudi Arabia
  • 2018 – 2020  Ministry of Youth & Sports scholarship – top 500 students nationally (Serbia)
  • 2015 – 2019  Ministry of Education scholarship – top 10 % students nationally (Serbia)
  • 2015 – 2019  University diploma for academic excellence each under‑grad year – top 10 %

📚 Academic Service

  • Conference reviewer: CVPR 2024, CVPR 2025, SIGGRAPH Asia 2025.

đź’Ľ Experience

  • 2021.03 – 2021.10 Computer Vision Research Intern — KAUST
  • 2020.03 – 2021.02 Teaching Assistant — Univ. of Novi Sad (Algorithms & DS, XML/Web Services, etc.)

🛠 Technical Skills

Python | PyTorch | Diffusers | Transformers | Slurm | Git | C/C++ | Java   — reproducible large‑scale training pipelines