Matan Kichler
I am a Ph.D. Candidate (Direct Track) in the Department
of Computer Science and Applied Mathematics at the
Weizmann Institute of Science
advised by
Assistant Prof. Mark Sheinin.
I received my B.Sc. in Computer Science (summa cum
laude) and B.Sc. in Applied Mathematics (summa cum
laude) from
Holon Institute of Technology (HIT).
My research focuses on pioneering computational imaging
techniques that unite deep learning with laser-based
optical sensing to redefine the limits of visual
perception. My vision is to illuminate unseen phenomena,
enabling humanity to measure, interpret, and understand
the world in entirely new ways.
Research
Hearing the Room Through the Shape of the Drum:
Modal-Guided Sound Recovery from Multi-Point Surface
Vibrations
CVPR 2026
Oral
Award Candidate
We significantly improve speckle-based sound
recovery from ordinary, acoustically poor objects by
fusing signals from many surface points using a
physics-guided vibration model.
Learning to See Inside Opaque Liquid Containers
using Speckle Vibrometry
ICCV 2025
Best Paper Award @ Responsible Imaging Workshop
We present a novel speckle-based vibrometry system
that captures surface vibrations of opaque liquid
containers remotely, enabling first-of-its-kind
inference of hidden liquid levels without physical
handling or weighing.
Teaching
I have served as a Teaching Assistant; leading recitations,
grading exams, and holding office hours for the following
courses:
Weizmann Institute of Science
- Computational Imaging course (Winter 2026).
Holon Institute of Technology (HIT)
- Partial Differential Equations course (Spring 2024).
- Complex Functions course (Spring 2024).
- Probability Theory course (Winter 2024).
- Linear Algebra course (Winter 2024).
© 2026 Matan Kichler. All rights reserved.
Design inspired by Jon Barron.
Design inspired by Jon Barron.