Scholar

Tianyu Xiang

Google Scholar ID: S3oniHQAAAAJ

Institute of Automation, Chinese Academy of Sciences, Phd Candidate

medical roboticsskill learningBCImotor learningmotor imagery

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Citations

141

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Publications

20 items

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Academic Achievements

Paper “Cross-Dataset Montage Alignment via Electroencephalogram Source Imaging for Enhanced Motor Decoding” accepted by IEEE Transactions on Cognitive and Developmental Systems; proposal “Brain-inspired Computational Intelligence Algorithm for Human Learning Modeling” supported by the “IEEE CIS Graduate Student Research Grant”; paper “Upper Limb Motor Sequence Analysis: From Isolated to Sequential” accepted by IEEE Transactions on Industrial Informatics; awarded “Ruwei Dai” First-Prize Scholarship.

Research Experience

Conducting PhD research at the Medical Robotics Lab, Institute of Automation, CAS, focusing on learning-based methods for modeling the brain-muscle modulation mechanism during human manipulation tasks and developing corresponding robotic learning algorithms. During undergraduate studies, collaborated on research related to monocular depth estimation and visual odometry, as well as cancer subtype classification and prognosis analysis based on bioinformatics.

Education

PhD candidate since Fall 2021 at the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, supervised by Prof. Zengguang Hou and Prof. Xiaohu Zhou; B.S. degree from Tongji University (2017-2021), School of Electronic and Information Engineering, supervised by Prof. Zhuping Wang.

Background

Research interests include human manipulation modeling and robotic skills learning, particularly through learning-based methods to model the brain-muscle modulation mechanism, and developing robotic learning algorithms that enable robots to learn like humans. Aiming to further advance in fields such as cognitive robots, human-robot interaction, and brain-computer interface.

Miscellany