Research Experience

Research Associate

Visualization and Data Analytics Lab (ViDA), NYU, New York, USA

  • Developing a high-speed 3D geometry scanner
    • Based on an analog structured light approach
    • High resolution of >1 MP at 1000 scans/sec
  • Acquired a unique multimodal urban scene dataset
    • Highly synchronized (<1 us) three data modalities: audio, video, and LiDAR
    • Using custom REIP sensors with two 5 MP cameras and a 4 x 3 microphone array
    • Paper published in MDPI Sensors journal, 2023

Research Assistant

Visualization and Data Analytics Lab (ViDA), NYU, New York, USA

  • Developed a Reconfigurable Environmental Intelligence Platform (REIP)
    • Consists of Python SW framework and custom HW sensors based on NVIDIA Jetson
    • Used for fast prototyping of multimodal sensors with edge computing capabilities
    • Paper published in MDPI Sensors journal, 2022
  • Implemented an accurate structured light scanner with a corresponding simulator
    • Pixel-wise matching between the data captured with hardware setup and simulated images
    • An ideal test-bed for developing and benchmarking data-driven 3D reconstruction algorithms
    • Paper published in NeurIPS on Datasets and Benchmarks track, 2021
  • Invented a modular sports tracking system (patent pending)
    • Featuring high-speed (>100 FPS) cameras for ball and player tracking on a large game field
    • Real-time adjustable field of view and precise synchronization for game events detection
    • Poster presented at NVIDIA GTC conference, 2020
  • Designed a novel anisotropic subsurface light scattering acquisition device
    • Based on a custom light field imaging setup and built from off-the-shelf components
    • Capable of measuring subsurface scattering up to 3 mm away from the illumination point
    • Paper published in International Symposium on Electronic Imaging, 2020

Internships

Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), UPMC, Paris, France

Each bullet is a separate internship (supervisors: Dr. Giovanni Calderini and Francesco Crescioli, Ph.D.):

  • Development of a particle telescope based on FE-I4 pixel sensors
    • Designed an algorithm for optimization of track patterns of charged particles
    • Implemented an FPGA based readout system using MMC3 interface board
    • Evaluated performance of the system at test-beam in CERN
  • Advanced testing of the Associative Memory chip (AMchip)
    • Established 2 Gbps serial links for full emulation of AMchip’s working environment
    • Added support for overclocking and power consumption measurements
    • Paper published in Nuclear Instruments and Methods in Physics Research, Section A, 2016
  • Evaluation of the Associative Memory chip for ATLAS Fast TracKer (FTK)
    • Developed an FPGA based test-bench supporting the JTAG protocol
    • Integrated 100 Mbps Ethernet connection into the system using IPbus protocol
    • Presentation given at European Physical Society Conference on High Energy Physics, 2015

Summer School

Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany

  • Study of Time Projection Chamber (TPC) resolution in presence of field distortions
    • Performed simulations of electron transport in Gaseous Electron Multipliers (GEMs)
    • Improved C++ interface of Garfield++ library for CST™ Electromagnetic Studio
    • Supervisor: Klaus Zenker, Ph.D.