Publications

Google Scholar profile

Single-Photon LiDAR: Sensing, Simulation, Compression and Reconstruction

Current doctoral research at the Intelligent Imaging Lab, Purdue University.

Journal Articles

  1. Single-Photon LiDAR Depth and Reflectivity Estimation for Low-Flux Dynamic Scenes

    Hashan K. Weerasooriya, Prateek Chennuri, Weijian Zhang, Istvan Gyongy, Stanley H. Chan

    Optics Express, Optica Publishing Group 2026 Under review

    arXiv

Conference Papers

  1. Resolution Limit of Single-Photon LiDAR

    Stanley H. Chan, Hashan K. Weerasooriya, Weijian Zhang, Pamela Abshire, Istvan Gyongy, Robert K. Henderson

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

    arXiv

  2. SPARC: Scene-Guided Photon Acquisition and Sparse Representation for SP-LiDAR Compression

    Hashan K. Weerasooriya, Weijian Zhang, Stanley H. Chan

    Under review

  3. Markov-Renewal Single-Photon LiDAR Simulator

    Weijian Zhang, Prateek Chennuri, Hashan K. Weerasooriya, Bole Ma, Stanley H. Chan

    European Conference on Computer Vision (ECCV) 2026

    Springer Project page arXiv

  4. Real-Time Markov Modeling for Single-Photon LiDAR: 1000x Acceleration and Convergence Analysis

    Weijian Zhang, Hashan K. Weerasooriya, Prateek Chennuri, Stanley H. Chan

    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026

    IEEE Xplore arXiv

  5. Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR

    William C. Yau, Weijian Zhang, Hashan Kavinga Weerasooriya, Stanley H. Chan

    26th IEEE International Workshop on Multimedia Signal Processing (MMSP), West Lafayette, IN, USA 2024

    IEEE Xplore

  6. Single-Photon LiDAR Compression: An Overview

    Abdullah H. Al-Shabili, Hashan K. Weerasooriya, Harshana Weligampola, Prateek Chennuri, Pamela Abshire, Stanley H. Chan

    66th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Tempe, AZ, USA 2023

    IEEE Xplore

Awards & Recognition

  1. SRC JUMP 2.0 CogniSense Center Best Poster Award

    Adaptive SP-LiDAR Compression Framework 2025

Hyperspectral and Multispectral Imaging for Remote Sensing

Earlier research at the University of Peradeniya on spectral imaging and its applications.

Journal Articles

  1. Quantitative Assessment of Adulteration of Coconut Oil Using Transmittance Multispectral Imaging

    H. M. S. Lakmal, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe, W. G. C. Bandara, H. M. V. R. Herath, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, T. Madujith

    Journal of Food Science and Technology, Springer 2023

    Springer

  2. Transmittance Multispectral Imaging for Reheated Coconut Oil Differentiation

    D. Y. L. Ranasinghe, H. K. Weerasooriya, S. Herath, M. P. B. Ekanayake, H. M. V. R. Herath, G. M. R. I. Godaliyadda

    IEEE Access 2022

    IEEE Xplore

  3. Constrained Nonnegative Matrix Factorization for Blind Hyperspectral Unmixing Incorporating Endmember Independence

    E. M. M. B. Ekanayake, H. M. H. K. Weerasooriya, D. Y. L. Ranasinghe, S. Herath, B. Rathnayake, G. M. R. I. Godaliyadda

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) 2021

    IEEE Xplore

Conference Papers

  1. Transmittance Multispectral Imaging for Edible Oil Quality Assessment

    H. M. H. K. Weerasooriya, H. M. S. Lakmal, D. Y. L. Ranasinghe, W. G. C. Bandara, H. M. V. R. Herath, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, T. Madujith

    Imaging and Applied Optics Congress, Optica Publishing Group, Washington, DC, USA 2020

    Optica

  2. Convolutional Autoencoder for Blind Hyperspectral Image Unmixing

    D. Y. L. Ranasinghe, H. M. S. Lakmal, H. M. H. K. Weerasooriya, M. Ekanayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, H. M. V. R. Herath

    15th IEEE International Conference on Industrial and Information Systems (ICIIS), Rupnagar, India 2020

    IEEE Xplore

  3. Hyperspectral Imaging Based Method to Identify Potential Limestone Deposits

    D. Y. L. Ranasinghe, H. M. S. Lakmal, H. M. H. K. Weerasooriya, E. M. M. B. Ekanayake, G. M. R. I. Godaliyadda, H. M. V. R. Herath

    14th IEEE International Conference on Industrial and Information Systems (ICIIS), Kandy, Sri Lanka 2019

    IEEE Xplore

Patent

  1. Multi-Spectral Imaging System for Transmittance Spectrum Measurement

    Hashan Kavinga Weerasooriya, Sanjaya Lakmal Herath, Yasiru Lakshan Ranasinghe, Chaminda Bandara, Vijitha Rohana Herath, Roshan Indika Godaliyadda, Mervyn Parakrama Bandara Ekanayake

    Sri Lankan Patent No. 20936 Granted

Awards & Recognition

  1. Prof. E.F. Bartholameusz Endowment Award

    Best Undergraduate Project in Engineering Mathematics 2020

  2. W. P. Jayasekara Prize

    Best Undergraduate Project in the Department of Electrical and Electronic Engineering 2020

Selected Research Projects

Selected work spanning computational imaging, 3D sensing, and experimental system development.

SPARC pipeline for RGB-guided acquisition, sparse photon representation, and depth and reflectivity reconstruction

Research project Under review

SPARC: Scene-Guided Photon Acquisition and Sparse Representation for SP-LiDAR Compression

Designed an acquisition-aware compression framework that uses RGB scene priors to guide photon sampling, sparsifies retained measurements, and jointly reconstructs dense depth and reflectivity. Evaluated on simulated driving scenes, real measurements, and an NVIDIA Jetson AGX Xavier.

  • Computational imaging
  • 3D sensing
  • Embedded ML
Photon-count progression and depth and reflectivity reconstruction results in a low-flux dynamic scene

Research project Under review

SPLiDER: Joint Depth and Reflectivity Estimation for Low-Flux Dynamic Scenes

Developed a physics-grounded cross-modal network that processes raw photon timestamp streams to estimate depth and reflectivity in dynamic scenes at fewer than one photon per pixel per frame. It reduced depth error by more than 30% against the strongest baseline across tested regimes.

  • Photon-limited imaging
  • Computer vision
  • Deep learning
Single-photon LiDAR laboratory bench with laser, detector, and optical components

Experimental system

Single-Photon LiDAR Lab-Bench Construction

Built a time-correlated single-photon counting testbed with pulsed illumination, SPAD detection, and precision scanning optics to collect realistic raw data for noise characterization, reconstruction, compression, and machine-learning evaluation.

Project documentation

  • Optical systems
  • SPAD / TCSPC
  • Data acquisition