About

I'm Alper Sahistan(Şahıstan), a PhD student at SCI Institute at the University of Utah. I work on scientific visualization, volume rendering, and GPU-accelerated ray tracing. My master’s thesis explored GPU-based data-parallel rendering for large unstructured volumes.
Further Information
  • I have recieved my MS & BS degrees from Bilkent University Department of Computer Engineering
  • I'm currently collaborating with Dr. Ingo Wald, Dr. Stefan Zellmann, and Nate Morrical on multiple ray tracing and scientific visualization oriented papers.
  • Working under Intel Center of Excellence at University of Utah to develop a SYCL implementation of compression library ZFP.
  • Interned at Lawrance Livermore National Laboratory as Graduate Computing Scholar.
  • I'm also remotely-collaborating with Prof. Uğur Güdükbay and Serkan Demirci from Bilkent University on more rendering oriented papers.
Advisor:
Valerio Pascucci
How to pronounce my name?

Allper Shahisthan

Software Projects
  • StrandStorm
    CS6610 and CS6660 conjoint project. Real-time hair rendering and physics
  • Chroma Ray Tracer
    CPU path tracer with all the well-known features and a real-time preview renderer. Development blog
  • CuRLI
    OpenGL renderer and physics implemented with ECS for CS6610 and CS6660.
  • CS6635 Best Project Finalist: DeltaVis
    A simple delta-tracking based volume renderer that uses RTX cores via NVIDIA OptiX.
  • CS6630 Best Project 2nd place: Moviz
    We like movies and their stories, but as a collective, they tell a story about the industry, economy, and more.




Research

description All Publications

Recent Publications

  • A. Sahistan, S. Zellmann, N. Morrical, V. Pascucci, I. Wald "Multi-Density Woodcock Tracking: Efficient & High-Quality Rendering for Multi-Channel Volumes" EuroVis 2025 Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) picture_as_pdfBibTeX sticky_note_2