معرفی
Hualou Liang is a Professor of Biomedical Engineering at Drexel University's School of Biomedical Engineering, Science & Health Systems. He is also affiliated with the Computational Neuroscience Initiative at the University of Pennsylvania. His office is located in Monell 103 at Drexel University.
Dr. Liang earned his PhD in Physics from the Chinese Academy of Sciences in China. His educational background in physics provides a strong foundation for his interdisciplinary research at the intersection of engineering, neuroscience, and data science.
Dr. Liang is known for pioneering the application of causal functional connectivity measures, particularly Granger causality, to the analysis of complex, high-dimensional neuroscience data. His research spans biomedical data analysis, machine learning, cognitive and computational neuroscience. His lab explores neural mechanisms of visual perception during various cognitive tasks using computational approaches. Current research focuses include: development of software package (www.brain-smart.org) for analyzing brain circuits; neuronal oscillations and attentional control; development of advanced signal processing methods for nonstationary, multivariate neurobiological data (spikes, field potentials, EEG/MEG, fMRI etc); and algorithm development for brain-computer interface or brain-machine Interface.
Dr. Liang's recent publications demonstrate a strong trend toward applying large language models and advanced machine learning techniques to biomedical problems, particularly in dementia prediction, drug analysis, and neural data interpretation. His work bridges traditional neuroscience with cutting-edge artificial intelligence approaches.
- Elected Fellow of the American Institute for Medical Biological Engineering (AIMBE)
- 1st and 2nd Place at the INTERSPEECH 2024 TAUKADIAL Challenge for Dementia Prediction Using LLMs
- Recipient of FDA Grant Extension for Machine Language Learning Based Research on Heterogeneous Treatment Effect Models
- 2020-2021 Pennsylvania CURE Grant Awardee
- 2016 Commonwealth Universal Research Enhancement (CURE) Program Grant Awardee
Dr. Liang has successfully mentored students like Felix Agbavor, who has co-authored multiple publications and won awards with him. His research is supported by significant grants including NIH funding and FDA extensions. The Liang Lab is actively recruiting postdocs in biomedical deep learning and systems/computational neuroscience, indicating ongoing research momentum and funding. Dr. Liang has collaborated extensively with researchers across Drexel University and with colleagues at the University of Pennsylvania.
The Liang Lab is a vibrant research group focused on problems at the intersection of machine learning and neuroscience. The lab collaborates with other research groups, including Vikas Bhandawat's lab, on projects studying neural control of movement. The lab has developed innovative approaches using data science to advance understanding of brain function, discover causal structures from observations, and apply deep learning and natural language processing to biomedical challenges. Recent notable work includes being the first to report using GPT-3 for early diagnosis of dementia, which was featured on the GPT-3 Wikipedia page.
