Career

since 2023Research Scientist at Adobe Research – London, UK

Education

PhDKing Abdullah University of Science and Technology (KAUST) – Thuwal, KSA

2017 – 2023Computer Science | Advisor: Peter Wonka

Thesis: Latent Space Manipulation of GANs for Seamless Image Compositing

MScVienna University of Technology – Vienna, Austria

2015Visual Computing | Advisor: Meister Eduard Gröller

Thesis: Decoupling Object Manipulation from Rendering in a Thin Client Visualization System

BScVienna University of Technology – Vienna, Austria

2011Media Informatics and Visual Computing

Professional Experience

TPC Member for SIGGRAPH Asia 2024

Reviewer for ECCV, CVPR, ICCV, SIGGRAPH, TVCG, TOG, TOMM

2022Intern at Meta Reality Labs Research – Sausalito, CA

Investigating 3D-aware generation as a tool for context-aware video editing to unlock realistic 3D editing for human faces in a temporally constistent fashion.

2020Intern at Adobe Research – remote due to COVID-19

Designing strategies for controllable image synthesis of large-scale photorealistic full-body human images using state-of-the-art machine learning techniques.

2020Intern at Weta Digital – remote due to COVID-19

Designing and evaluating state-of-the art Generative Adversarial Networks for high-resolution texture synthesis. Research on how to dissect GAN models for improved controllability for user interaction.

2016Trainee at SPL, Harvard Medical School – Boston, MA

Implementation of GPU-accelerated browser-based visualization software. Design and development of user interface components for web-based imaging. Browser-based GPU processing through grid-based PDE solver for 2D and 3D image segmentation. Integration with open-source visualization and medical imaging software 3D Slicer

2015Visiting Researcher at KAUST – Thuwal, KSA

Development of my Master Thesis research project with the Visualization Group at the Visual Computing Center, supervised by Peter Rautek

2010 – 2012Software Developer at SimVis – Vienna, Austria

Independent design and development of different components of the visualization software SimVis for the interactive visual analysis of time-dependent and multi-dimensional data, e.g. computational fluid dynamics, climate research, architectural flow visualization

Awards

Teaching and Mentorship

2021 – 2022Student Ambassador for CEMSE Division at KAUST

2021 & 2019Teaching Assistant for Deep Learning for Visual Computing (CS323) at KAUST