PhD, University of Florida
Master, University of Science and Technology of China
Bachelor, University of Science and Technology of China

Yiwen Wang received her B.S. and M.S. degrees from the University of Science and Technology of China (USTC) in Hefei, Anhui, China. She earned her Ph.D. from the University of Florida in Gainesville, FL, USA. From 2010 to 2016, she served as an associate professor at Zhejiang University in Hangzhou, China. Currently, she is an associate professor with substantiation in the Department of Electronic and Computer Engineering and the Department of Chemical and Biological Engineering at the Hong Kong University of Science and Technology.

Her research interests encompass neural decoding in brain-machine interfaces, adaptive signal processing, computational neuroscience, and neuromorphic engineering. She has served as Chair of the IEEE Engineering in Medicine and Biology Society (EMBS) Neural Engineering Technical Committee, Chair of the IEEE BRAIN Publication Subcommittee, and as a board member of the Brain-Computer Interfaces Society. Additionally, she was the Editor-in-Chief of the IEEE Brain Newsletter and is currently on the editorial board of the Journal of Neural Engineering. She also serves as an associate editor for the IEEE Transactions on Neural Systems and Rehabilitation Engineering and has previously held the position of associate editor for Frontiers in Human Neuroscience (Brain-Computer Interfaces) and the IEEE Transactions on Cognitive and Developmental Engineering. She was recognized as an IEEE EMBS Distinguished Lecturer in 2022 and received the IEEE EMBS Distinguished Service Award in 2023. She was also a keynote speaker at the IEEE Engineering in Medicine and Biology Society (EMBS) Annual Conference 2024 on the theme of NeuroEngineering. She holds two U.S. patents and has authored over 100 peer-reviewed publications.

Selected Journal Papers

F. Wang, Yiwen Wang*, K. Xu, Q. Zhang, S. Zhang, X. Zheng, J. Principe, Quantized Kernel Reinforcement Learning for Brain-Machine Interfaces, IEEE Trans. on Neural Networks and Learning, In press
Y. Wang, Y. Qi, Yu; Yiwen Wang*, Z. Lei; X. Zhang, G. Pan, Delving an alpha-stable Distribution in Noise Suppression for Seizure Detection from Scalp EEG, Journal of neural engineering, 13(5):056009
Yiwen Wang*, X. She, Y. Liao, H. Li, Q. Zhang, S. Zhang, X. Zheng, J. Principe, Tracking Neural Tuning Plasticity by Dual Sequential Monte Carlo Estimation on Point Processes for Brain Machine Interfaces, IEEE Trans. on Biomedical Engineering, (Cover article) , 63(8): 1728-1741, 2016
Y. Liao, X. She, Yiwen Wang*, S. Zhang, Q. Zhang, X. Zheng and J. Principe, Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain-machine interfaces, Journal of Neural Engineering, 12(6):066014, 2015
Yiwen Wang*, L. Jiang, Y. Wang, B. Cai, Y. Wang, W. Chen and X. Zheng, An Iterative Approach for EEG based Rapid Face Search: A refined retrieval by Brain-Computer Interface, IEEE Trans. on Autonomous and Mental Development, 7(3):211, 2015
Yiwen Wang*, F. Wang, K. Xu, Q. Zhang, S. Zhang, X. Zheng, Neural Control of a Tracking Task via Attention-gated Reinforcement Learning for Brain-Machine Interfaces, IEEE Transactions on Neural Systems & Rehabilitation Engineering, (Cover article), 23(3): 458, 2015
Y. Wang. Qi, Y, J. Zhu, J. Zhang, Yiwen Wang, X. Zheng, Z. Wu, A Cauchy-based State-space model for Seizure Detection in a EEG Monitoring System, IEEE Intelligent System, 30(1): 6, 2015
Y. Hao, Q. Zhang, M. Controzzi, C. Cipriani, Y. Li, J. Li, S. Zhang, Yiwen Wang, W. Chen, M. Carrozza, X. Zheng, Distinct neural patterns enable grasp types decoding in monkey dorsal premotor cortex, Journal of Neural Engineering, 2014, 11(6): 066011.
K. Xu, Yiwen Wang*, F. Wang, Y. Liao, Q. Zhang, H. Li and X. Zheng, Neural Decoding using a Parallel Sequential Monte Carlo method on Point Processes with Ensemble Effect, BioMed Research International (formerly titled Journal of Biomedicine and Biotechnology), 685492, 2014
D. Wang, Q. Zhang, Y. Li, Yiwen Wang; J. Zhu, S. Zhang, X. Zheng, Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2-D center out task, Journal of Neural Engineering, 11(3):036009, 2014
K. Xu, Yiwen Wang*, Y. Wang, F. Wang, Q. Zhang, S. Zhang, W. Chen, X. Zheng, Local-learning-based neuron selection for grasping gesture prediction in motor Brain Machine Interfaces, Journal of Neural Engineering, 10(2): 026008, 2013
Yiwen Wang*, B. Shi, Improved Binocular Vergence Control via a Neural Network Trained to Maximize an Internally Derived Reward, IEEE trans. on Autonomous Mental Development, 3(3): 247-256, 2011
Yiwen Wang*, J. Sanchez, J. Principe, Instantaneous Estimation of Motor Cortical Neural Encoding for online Brain-Machine Interfaces, Journal of Neural Engineering, 7(5):056001-056013, 2010
Yiwen Wang*, B. Shi, Autonomous Development of Vergence Control Driven by Disparity Energy Neuron Populations, Neural Computation, 22（3）：730－751, 2010.
Yiwen Wang*, A. Paiva, J. Principe, J. Sanchez, Sequential Monte Carlo Point Process Estimation of Kinematics from Neural Spiking Activity for Brain Machine Interfaces, Neural Computation, 2009, 21(10): 2894-2930. doi:10.1162/neco.2009.01-08-699
Yiwen Wang*, J. Principe, J. Sanchez, Ascertaining neuron importance for kinematics decoding by information theoretical analysis in motor brain machine interfaces, Neural Networks, 2009, vol. 22(5-6):781-790. doi:10.1016/j.neunet.2009.06.007
W. Liu, Il Park, Yiwen Wang, J. Principe, Extended Kernel Recursive Least Squares Algorithm, IEEE transactions on Signal Processing, vol. 57, no. 10: 3801-3814, 2009. Digital Object Identifier :10.1109/TSP.2009.