Yoshi (Josh) graduated from the University of Warsaw with a Master’s degree in Quantitative Finance and received the Semkow Prize for his innovative research on High-Frequency Trading (HFT). He also studied Machine Learning and Reinforcement Learning at NYU Tandon School of Engineering. In the past years he has provided technical consulting services to several quantitative hedge funds and trading firms, where he did R&D on, inter alia, the application of Deep Reinforcement Learning (DRL) to financial markets and on Multi-Agent Simulation (MAS) for market risk analysis and trading strategy design. He also has expertise in blockchain and served as a technical advisor at early blockchain startups. Prior to entering the financial industry, he developed a 3D graphics engine from scratch in the gaming industry, where he gained expertise in high-performance computing in C/C++ with x86 code optimization.
Yoshiharu will showcase how our AI-powered Gauzilla Pro 4D digital twin platform enhances progress tracking, stakeholder communication, safety compliance, and risk assessment of AEC projects by utilizing the revolutionary Radiance Field reality capture technology called Gaussian Splatting (3DGS).
3DGS generates high-fidelity 3D scenes from short videos captured using smartphones, 360 cameras (eg. Insta360), drones (eg. DJI), or LiDAR (eg. XGRIDS for accurate scanning). It has less data acquisition & processing time than traditional Photogrammetry and allows for expressive and holistic 3D scene reconstruction.
Gauzilla Pro’s dynamic 4D time-lapse feature allows for detailed as-built progress analysis of a construction project. The platform also lets you easily and precisely segment complex 3D geometries such as MEP, HVAC, PT cables, rebars, etc.
