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measurement method will be developed for the user’s comfort and long-term usage. The sensor unit will be connected wirelessly with a hub base station, which is under supervision of workers’ health condition
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degrees of knee flexion and retreat to neutral position of the ankle. The system must be lightweight, affordable, and adaptive. Furthermore, the system will be equipped with force sensors embedded in
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined