Color Science • Imaging Science • Camera ISP • Spectral Imaging

Morteza Maali Amiri, Ph.D.

Color & Imaging Scientist

I am a Color and Imaging Scientist with a Ph.D. in Imaging Science and experience across consumer imaging, autonomous vehicle imaging, cultural heritage imaging, AR/VR/MR imaging, camera image quality, color reproduction, HDR imaging, and hyperspectral / multispectral imaging.

Need help with hyper/multispectral imaging, color science, imaging science, camera ISP, or color reproduction? Feel free to reach out for consulting, technical review, project-based support, imaging workflow development, or custom Python / MATLAB imaging tools.

Color & Imaging Scientist with industry and academic experience

My work focuses on color and imaging science, including color perception and reproduction, image quality analysis, HDR imaging, hyper/multispectral imaging, image processing, computer vision, psychophysics, AR/VR/MR imaging, and imaging workflow automation.

I have worked on imaging problems across consumer imaging, autonomous vehicle imaging, cultural heritage imaging, and advanced imaging research. My technical work combines scientific imaging knowledge with practical software development in Python, MATLAB, machine learning frameworks, ADB-connected device workflows, and image/video processing tools.

I also provide consulting and project-based technical support for teams working on camera ISP, color science, color reproduction, image quality, spectral imaging, and custom imaging workflows.

Current Role Color / Imaging Scientist
Education Ph.D. in Imaging Science, M.Sc. in Color Science
Core Tools Python, MATLAB, PyTorch, TensorFlow, ADB, FFmpeg, Linux command line
Research Areas Color reproduction, spectral imaging, image quality, computer vision, psychophysics
Languages English, Persian

Technical areas where I can help

I am available for consulting, technical review, project-based collaboration, algorithm development, imaging workflow design, and custom Python / MATLAB tool development.

Camera ISP & Imaging Pipelines

Camera pipeline analysis, white balance, color correction, tone mapping, image quality evaluation, and practical debugging of imaging workflows.

Color Science

Color reproduction, color perception, colorimetric analysis, camera/display characterization, skin tone reproduction, and color appearance considerations.

Imaging Science

Image formation, radiometry, optics-related imaging analysis, image registration, workflow design, and scientific imaging evaluation.

Hyper/Multispectral Imaging

Spectral imaging workflows, reflectance recovery, spectral/colorimetric characterization, visualization, registration, and analysis tools.

HDR & Image Quality

HDR imaging, image/video quality assessment, perceptual evaluation, and objective/subjective image quality workflows.

AI / ML for Imaging

Applied machine learning, deep learning, computer vision, preprocessing pipelines, and imaging-focused model evaluation.

Professional Experience

2024 – Present

Color / Imaging Scientist

Meta, contract via DigitalFish — California, USA

  • Work on color and imaging science projects across Meta products, including color perception and color reproduction.
  • Develop and evaluate advanced white balancing methods for imaging applications.
  • Contribute to HDR imaging, image/video quality analysis, AR/VR/MR color perception, and skin tone color reproduction workflows.
  • Set up psychophysical perception experiments on Android-based devices.
  • Automate data capture workflows on Android / ADB-connected devices using Python, scripting, and device-control tooling.
  • Develop and maintain production features in a large-scale shared codebase following peer-reviewed engineering workflows and best practices.
  • Develop Python-based preprocessing pipelines for multi-device video experiments, including synchronization and temporal trimming using FFmpeg.
2023 – 2024

Postdoctoral Researcher in Imaging Science

Rochester Institute of Technology — Rochester, NY

  • Worked on hyper/multispectral imaging systems, including building simple and affordable imaging setups.
  • Developed workflows for constructing 3D class maps of polychrome sculptures.
  • Performed colorimetric characterization of multispectral cameras and related imaging pipelines.
  • Worked on image registration and cultural heritage imaging applications.
2021

Software Intern

NVIDIA — California, USA

  • Worked with the camera team on autonomous vehicle imaging and color science problems.
  • Contributed to image quality analysis, image processing, machine learning, deep learning, and color reproduction tasks.
2019

Software Intern

NVIDIA — California, USA

  • Worked with the camera team on autonomous vehicle imaging and color science problems.
  • Contributed to image quality analysis, noise quantification, image processing, machine learning, and color reproduction tasks.

Skills and Methods

Programming & Tools

  • Python
  • MATLAB
  • TensorFlow
  • PyTorch
  • Android Debug Bridge — ADB
  • Linux command line
  • Scripting automation
  • PsychoPy
  • FFmpeg
  • Pascal

Color / Imaging Science

  • Color perception and reproduction
  • Image quality analysis
  • HDR imaging
  • Hyper/multispectral imaging
  • Image processing
  • Computer vision
  • Image registration
  • Cultural heritage imaging
  • Optics for imaging science
  • Radiometry

Methods

  • Machine learning
  • Deep learning
  • PCA
  • NNMF
  • SVD
  • Regression
  • Interpolation
  • Fourier methods in imaging
  • Psychophysics

Typical Project Support

  • Camera ISP and image pipeline review
  • Color reproduction and colorimetric evaluation
  • Image quality experiments and analysis
  • Hyper/multispectral imaging workflow design
  • Custom Python / MATLAB imaging tools
  • Scientific visualization and reporting
  • AI/ML imaging preprocessing and evaluation pipelines

Academic Background

2017 – 2023

Ph.D. in Imaging Science

Rochester Institute of Technology — Rochester, NY

  • Chester F. Carlson Center for Imaging Science
  • Thesis: Virtual Cleaning of Works of Art Using Deep Learning Based Approaches
2015 – 2017

M.Sc. in Color Science

Rochester Institute of Technology — Rochester, NY

  • Munsell Color Science Laboratory
  • Thesis: Novel Approaches to the Spectral and Colorimetric Color Reproduction
2012 – 2015

M.Sc. in Textile Chemistry and Fiber Science

Tehran Polytechnic — Tehran, Iran

  • Thesis: Heuristic Methods in Spectral Data Recovery
2008 – 2012

B.Sc. in Textile Chemistry and Fiber Science

Tehran Polytechnic — Tehran, Iran

  • Thesis: In-Situ Synthesis of Nano ZnO on Wool

Research Publications

The Development of a Skin Chart Based on Real Measured Data Color Research & Application, 2026
A New Method for XRF and RGB Image Registration npj Heritage Science, 2025
Colorimetric Characterization of Multispectral Imaging Systems for Visualization of Historical Artifacts Journal of Cultural Heritage, 2024
Virtual Cleaning of Works of Art Using a Deep Generative Network: Spectral Reflectance Estimation Heritage Science, 2023
Virtual Cleaning of Works of Art Using Deep Convolutional Neural Networks Heritage Science, 2021
Spectral Reflectance Reconstruction Using Fuzzy Logic System Training: Color Science Application Sensors, 2020
A Strategy Toward Spectral and Colorimetric Color Reproduction Using Ordinary Digital Cameras Color Research & Application, 2018

Recognition

Awards

  • Granted National Interest to the United States — 2020
  • Full Scholarship for Ph.D., Chester F. Carlson Center for Imaging Science — 2017
  • Full Scholarship for M.Sc., Munsell Color Science Laboratory — 2015
  • Best B.Sc. Thesis, Department of Textile Engineering, Tehran Polytechnic — 2013
  • Top 1% Student Entering University in Iran — 2008

Professional Contributions

  • Ad-hoc reviewer for scientific journals including Photochemistry and Photobiology
  • Ad-hoc reviewer for Color Research & Application
  • Ad-hoc reviewer for Heritage Science
  • Science communication and educational content through YouTube
  • Portfolio and open technical projects shared through GitHub

Let’s talk about your imaging project

If you need help with hyper/multispectral imaging, color science, imaging science, camera ISP, color reproduction, HDR imaging, image quality evaluation, AI/ML for imaging, or custom Python / MATLAB imaging tools, feel free to contact me.

I am open to consulting, project-based technical support, scientific review, algorithm development, imaging workflow design, and collaboration with companies, research teams, and specialized imaging groups.

mm2391@rit.edu