Ilkin Isler

Doctoral Candidate
Computer Science

University of Central Florida
4365 Andromeda Loop N,
Orlando, FL 32816
ilkin@ucf.edu

A highly motivated Ph.D. candidate in Computer Science with a focus on developing explainable and trustworthy AI systems for medical imaging. Skilled in deep learning, computer vision, and AI explainability, seeking opportunities to apply expertise and continue professional growth in these areas.

Education

  • Doctor of Philosophy in Computer Science, Anticipated Completion: 2025
    University of Central Florida
  • Master of Science in Computer Science, 2022
    University of Central Florida
  • Bachelor of Science in Computer Science, 2020
    Hacettepe University, Ankara, Turkey

Academia

I. Journals

  • U. Gulec, S. I. Isler, M. H. Doganay, M. Gokcen, M. A. Gozcu and M. Denizci Nazligul (2022). Power-VR: Interactive 3D Virtual Environment to Increase Motivation Levels of Powerlifters during Training Sessions, Computer Animation and Virtual Worlds. wiley: 10.1002/cav.2045.

II. Peer-reviewed conference articles (full papers)

  • Isler, D. Jha, C. Lisle, J. Rineer, P. Kelly, B. Aydogan, M. Abazeed, D. Turgut, and U. Bagci (2023). Self-Supervised Learning for Organs At Risk (OARs) and Tumor Segmentation with Uncertainty Quantification. (ICECCME IEEE 23’) arXiv: 2305.02491.

  • Isler, S.I, Curtis Lisle, Justin Rineer, Patrick Kelly, Damla Turgut, and Ulas Bagci (2021). Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks. (SPIE 22’ Medical Imaging) arXiv: 2202.01866.

  • Ali, K., Isler, I., & Hughes, C. E. (2019). Facial Expression Recognition Using Human to Animated-Character Expression Translation. arXiv: 1910.05595.

III. Other publications

  • S. Isler, M. H. Doganay, M. Gokcen & U. Gulec (2019). Usage of 3D Modelling and Morphing Tools in Plastic Surgery, 2019 National Software Engineering Symposium (UYMS), İzmir Institute of Technology, İzmir, Turkey.