Dr Fangyi Zhang is an experienced researcher and engineer in robotics and machine learning. His goal is to contribute to advancing robotics and AI in fields such as agriculture, healthcare, construction, and environmental monitoring and disaster management, while also dedicating himself to educating and mentoring the next generation of researchers and engineers.

Since 2014, Dr Zhang has focused on machine learning and robotics, publishing over 20 peer-reviewed papers in prestigious conferences and journals, including the Conference on Neural Information ProcessingSystems (NeurIPS), the International Conference on Learning Representations (ICLR), the InternationalJournal of Robotics Research (IJRR), the IEEE Robotics and Automation Letters (RA-L), and the IEEE International Conference on Robotics and Automation (ICRA). His contributions have been recognized with several awards, such as a Best Paper Award Finalist at ACRA 2017 and Best Industry Paper at IJCAIW 2021. His global impact in the field extends to numerous international academic activities, such as chairing the Tactile Sensing I session at IROS 2023, co-organizing workshops at ICRA 2023 and 2024, delivering invited talks at Oxford Robotics Institute and Bristol Robotics Laboratory, and serving as an Associate Editor for RA-L.

Beyond academia, Dr Zhang has over 6 years of industry experience, with expertise spanning hardware and software in robotics, machine learning, mechatronics, semiconductor manufacturing, and high-end equipment.

Please visit his personal website (https://fangyizhang.com/) for more details.