Talha Sultan
Developing camera technologies at Apple

I am currently a Camera Design Lead at Apple, where I work on camera hardware design, integration, and validation for high-performance imaging systems.

Previously, I completed my PhD in Electrical and Computer Engineering at UW–Madison in the Computational Optics Lab, where I was fortunate to be advised by Andreas Velten. My doctoral research focused on computational imaging systems that combine optical hardware, emerging sensor technologies, and advanced reconstruction algorithms for applications including 3D imaging, non-line-of-sight imaging, and transient imaging.

Education
  • University of Wisconsin - Madison
    University of Wisconsin - Madison
    Ph.D. in Electrical and Computer Engineering
    2025
  • University of Wisconsin - Madison
    University of Wisconsin - Madison
    Masters in Electrical and Computer Engineering
    2020
  • University of Wisconsin - Madison
    University of Wisconsin - Madison
    B.S. in Chemical Engineering and Math
    Certificate in Computer Science
    2018
News
2026
Our paper, Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging, was published in Nature Communications! Project page
Jul 22
Our paper, Trapezoidal Grid Reconstruction for Efficient Non-Line-of-Sight Imaging, was published in ICCP 2026! Project page
Jul 13
2025
Our new paper, Zero-Phase Phasor Fields for Non-Line-of-Sight Imaging , is now published! Read more
Jul 21
Honored to receive the Capstone Teaching Award, which recognizes TAs for outstanding teaching throughout their tenure at UW–Madison! Read more
Mar 11
Our new preprint, Optimized Sampling for Non-Line-of-Sight Imaging Using Modified Fast Fourier Transforms, is now available! Read more
Jan 09
2024
Our new preprint, Iterating the Transient Light Transport Matrix for Non-line-of-Sight Imaging, is now available! Read more
Dec 13
Grateful to receive the Student Award to present our recent work at the 2024 IEEE International Conference on Computational Photography (ICCP).
Jun 01
We hosted Tristan Duke at our lab and developed a one-trillion frames-per-second camera system to capture and visualize light moving through glacial ice! See more
Apr 17
Our new paper, Towards a more accurate light transport model for non-line-of-sight imaging , is now published! Read more
Feb 20
Selected Publications (view all )
Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging
Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging

Talha Sultan, Eric Brandt, Khadijeh Masumnia-Bisheh, Simone Riccardo, Pavel Polynkin, Alberto Tosi, Andreas Velten

Nature Communications, 17, 8951. 2026

We capture transient light transport with a dense laser scan and a gated SPAD array, then independently focus virtual illumination and detection within a hidden scene. The reconstructed transport matrix reveals time-resolved interactions between hidden surfaces, including indirect shadows, interreflections, and volumetric scattering, and enables direct–indirect separation, relighting, and dual photography.

Iterating the Transient Light Transport Matrix for Non-Line-of-Sight Imaging

Talha Sultan, Eric Brandt, Khadijeh Masumnia-Bisheh, Simone Riccardo, Pavel Polynkin, Alberto Tosi, Andreas Velten

Nature Communications, 17, 8951. 2026

We capture transient light transport with a dense laser scan and a gated SPAD array, then independently focus virtual illumination and detection within a hidden scene. The reconstructed transport matrix reveals time-resolved interactions between hidden surfaces, including indirect shadows, interreflections, and volumetric scattering, and enables direct–indirect separation, relighting, and dual photography.

Optimized Sampling for Non-Line-of-Sight Imaging Using Modified Fast Fourier Transforms
Optimized Sampling for Non-Line-of-Sight Imaging Using Modified Fast Fourier Transforms

Talha Sultan, Alex Bocchieri, Chaoying Gu, Xiaochun Liu, Pavel Polynkin, Andreas Velten

Under review.

We demonstrate that the measurement space for non-line-of-sight imaging can be compressed, enabling the development of novel computational methods for 3D diffraction propagation. These methods allow for flexible measurement schemes and significantly enhance reconstruction speed while maintaining reconstruction quality comparable to state-of-the-art methods.

Optimized Sampling for Non-Line-of-Sight Imaging Using Modified Fast Fourier Transforms

Talha Sultan, Alex Bocchieri, Chaoying Gu, Xiaochun Liu, Pavel Polynkin, Andreas Velten

Under review.

We demonstrate that the measurement space for non-line-of-sight imaging can be compressed, enabling the development of novel computational methods for 3D diffraction propagation. These methods allow for flexible measurement schemes and significantly enhance reconstruction speed while maintaining reconstruction quality comparable to state-of-the-art methods.

Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bounce
Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bounce

Diego Royo, Talha Sultan, Adolfo Muñoz, Khadijeh Masumnia-Bisheh, Eric Brandt, Diego Gutierrez, Andreas Velten, Julio Marco

SIGGRAPH 2023

We show that planar diffuse surfaces can act as virtual mirrors in non-line-of-sight (NLOS) imaging when using structured light modulation at centimeter-scale wavelengths. Leveraging this effect, we extend NLOS imaging beyond the third bounce, enabling the reconstruction of mirror reflections of objects hidden around two corners.

Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bounce

Diego Royo, Talha Sultan, Adolfo Muñoz, Khadijeh Masumnia-Bisheh, Eric Brandt, Diego Gutierrez, Andreas Velten, Julio Marco

SIGGRAPH 2023

We show that planar diffuse surfaces can act as virtual mirrors in non-line-of-sight (NLOS) imaging when using structured light modulation at centimeter-scale wavelengths. Leveraging this effect, we extend NLOS imaging beyond the third bounce, enabling the reconstruction of mirror reflections of objects hidden around two corners.

All publications