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
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