Research Scientist & Director
- Analysis and modeling of human cognitive event-related brain dynamics as captured by high-dimensional EEG, MEG and other imaging modalities now including body motion capture.
Research Scientist & Associate Director, Adj. Professor of Biomedical Engineering, UCSD
- Analysis and interpretation of neural activity measured by EEG, MEG and fMRI associated with human cognition, awareness and perception.
- Brain-computer interface and interaction
- Development of mobile wireless EEG and BCI systems that feature dry EEG sensor arrays and integrated data and signal processing hardware and software to obtain non-invasive, high spatial and temporal resolution, recording and interpretation of brain activity in unconstrained, freely-moving human subjects within operational environments.
Research Scientist & Associate Director
- Neural basis of auditory perception
- Dynamics of sensory-motor interactions
- Musical rhythm perception and production
- Rehabilitation of movement disorders using music
- The role of music in brain and behavioral development
- Brain mechanisms of motivation, reward, and conditioning
- Neural basis of behavioral addictions (especially compulsive sexual behaviors and problematic pornography use)
- Neural and psychological mechanisms of substance use disorders
- Basic mechanisms of Transcranial Magnetic Stimulation (TMS) effects on brain activity
Use of TMS and EEG for addiction treatment
- Development of more effective methods for addiction treatment
Professor of Electrical & Computer Engineering, UCSD
- The development of sensor-based intelligent learning systems that can function in unstructured, nonstationary environments and has on-going research activities in the areas of statistical signal processing; statistical learning theory and pattern recognition; adaptive sensory-motor control; nonlinear dynamics and multibody systems theory.
- Numerical Methods in Bioelectromagnetism
- Development of Neuroelectromagnetic forward head modeling toolbox
- EEG/MEG/ECoG source localization
- Continued development of the EEGLAB software for EEG single-trial analysis and independent component analysis.
- EEG data mining using super-computers in large sets of data comprising thousands of subjects.
- Brain dynamics associated with mind wandering and its relationship to the default network.
- Neural correlates of meditation andother transcendental experiences in different traditions.
- fMRI Basics
Most current analysis methods for fMRI data assume a priori knowledge of the time course of the hemodynamic response (HR) to experimental stimuli or events in brain areas of interest. In addition, they typically assume homogeneity of both the HR and the non-HR "noise" signals, both across brain regions and across similar experimental events. When HRs vary unpredictably, from area to area or from trial to trial, an alternative approach is needed. Here, we use infomax Independent Component Analysis (ICA) to detect and visualize variations in single-trial HRs in event-related fMRI data.
Post-doc: 2003–2004; Assistant Project Scientist: 2004–2010; Associate Project Scientist: 2010–present
Director, Biomedical Engineering Research and Development Center, China Medical University, Taichung, Taiwan 404
Associate Professor, Graduate Institute of Clinical Medical Sciecne, China Medical University, Taichung, Taiwan 404
Assistant Project Scientist
- Topographical mapping (retinotopy, tonotopy, somatotopy, multisensory maps) of cortical areas using fMRI
- Multisensory representation of space in multiple reference frames; multisensory attention, interaction, and integration
- Neural basis of metaphorical abstraction of space and time
- Multimodal neuroimaging (EEG/fMRI/NIRS) of sensorimotor functions
- Brain dynamics (EEG/fMRI) during sustained-attention tasks (driving); alertness monitoring
- EEG-based brain computer interface (BCI)
- Development of MR-compatible devices
- EEG data mining
- Statistical methods
- Software development on MATLAB
- Experimental psychology and cognitive science
- EEG Neuroimaging
- EEG-Based Feedback
- Understanding and characterizing the alpha and theta rhythms using statistical signal processing, dynamical systems, and computational neuroscience methods.
- General information theoretic properties of independence and mutual information based transformations for large sensor arrays, with application to EEG and speech, image and video coding.
- Development of the AMICA program for large scale adaptive parallel ICA.
- Development of VLSI implentation of convolutive ICA with adaptive linear process mixture model sources.
- Wearable sensing and IoT enabled systems for mobile and pervasive health care. Applications include diagnosis, monitoring, and management of neurological disorders such as Parkinson's disease, sleep disorders, and chronic illnesses
- Wireless communications and networks with specific focus on 5G wireless systems
- Data mining, machine learning, and signal processing for health care.
2016–2018 Visiting Scholar
Associate Project Scientist
- EEG and MoBI neuroimaging
- Autism and aging research
- EEG Hyperscanning
- Cognitive Ethology
- Artificial Cognitive Systems
- Neuromorphic Engineering
- Mobile Brain Imaging
- Visual cognitive neuroscience
- Attention and distraction-filtering
- Working memory
- Multisensory integration
- EEG brain dynamics
- High-speed brain computer interfaces
- Brain-Computer Interaction
- Mobile Brain Imaging
- Neural control of movement timing
- Functional roles of Oscillations in sensorimotor processing
- Semantic processing
- EEG brain dynamics and learning
- Second language acquisition
- Discourse analysis and pragmatics
- Social neuroscience
- Gesture and action comprehension
Sheng-Hsiou (Shawn) Hsu
Ramon Martinez Cancino
Dung (Young) Truong
Sr. Research Administrator
Chi Man Wong