Xiaomu Song, PhD
- Chair of Electrical and Robotics Engineering
- Engineering
- Technology
Affiliated Programs
- Robotics Engineering (BS)
- Robotics Engineering (MSE)
- Electrical Engineering (BS)
- Electrical Engineering (MSE)
Education
- PhD, Electrical Engineering (2005)
Oklahoma State University (OK)
About Me
At Widener, I have taught a variety of undergraduate and graduate lecture and laboratory courses in both on-campus and online formats. I enjoy interacting with students inside and outside of the classroom, promoting inquiry, facilitating collaborative discussions, and supporting creative problem-solving.
I have been advising undergraduate and graduate students in different research projects, and directing the Undergraduate Student Research Program at the School of Engineering. By conducting research with faculty advisors, students are able to apply theoretical knowledge to practical applications, and gain valuable experiences and skills that that extend beyond the curriculum.
Research Interests
Dr. Song’s research interests include pattern recognition and machine learning, spanning fundamental modeling challenges to multidisciplinary applications, including robotic vision, artificial intelligence, brain-machine interface, biomedical imaging, multi-sensor fusion, and signal and image processing.
Media Expertise
- Signal/image processing
- Computer vision
- Biomedical imaging
- Remote sensing
- Pattern recognition
- Robotic Vision
- Neural-machine Interfacing
- Machine Learning and AI Applications
Publications
- Song, Xiaomu and Suk-Chung Yoon. "Improving Brain-Computer Interface Classification Using Adaptive Common Spatial Patterns." Computers in Biology and Medicine 61 (2015): 150–160.
- Song, Xiaomu, Lawrence Panych, and Nan-kuei Chen. "Data Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility." Brain Connectivity 6 (2016): 136–151.
- Song, Xiaomu, Lawrence Panych, and Nan-kuei Chen. "Spatially Regularized Machine Learning for Task and Resting-State fMRI." Journal of Neuroscience Methods 257 (2016): 214–228.
Professional Affiliations & Memberships
Senior Member, Institute of Electrical and Electronic Engineers (IEEE), Phi Kappa Phi, Sigma Xi
Awards
- Provost's Grant, Widener University (2011) (2012) (2013) (2015)
- Faculty Development Options Grant, Widener University (2011) (2012) (2013) (2014) (2015) (2016)
- Major Research Instrumentation Grant, National Science Foundation (2016)