My research passions lie broadly in the realm of computer vision with a HCI/human factors twist. I am focusing my PhD thesis work on extracting hemodynamic information from videos. For my Master's, I designed intuitive image features to help doctors make more accurate diagnoses of melanoma. Apart from medical image processing, I have also dappled with remote sensing (hyper- & multi-spectral) and photogrammetry (3D stereo vision).
Research topic: Remote Sensing
My research interests lie in the area of Machine Learning, Computer Vision and Cognitive Science. I am especially interested in developing new Machine Learning algorithms for analyzing structures in massive data sources as well as learning about predictive models based on those structures. Additionally, I am researching about the functionality of human visual system and learn how to model impressive properties of this mysterious system.
My research interest is in the field of image and signal processing, pattern recognition and computer vision while mainly focusing on the optical imaging. My current research is concerned with enhancing the current image processing methods for the Optical Coherence Tomography (OCT) images.
My research applies artificial intelligence to prediction and pattern recognition in healthcare, with heterogeneous data consisting of numeric, categorical, image or waveform data. I have a B.A.Sc. in Systems Design Engineering and an M.Math in Computer Science from the University of Waterloo. I have given lectures at UW and at U of T's School of Continuing Studies; and I helped develop and teach a worldwide course at IBM.
I received a bachelor’s degree in biomedical computing at the Queen’s University, and a M.E.Sc degree in biomedical engineering at the University of Western Ontario. I am a current PhD student at the University of Waterloo.
I currently have a growing interest in business and entrepreneurship so that I can turn great ideas into value and profit. I see this as only the beginning and I am looking forward to new experiences where I can continue to be challenged and grow as an individual.
My research interests are in the area of accelerated computational methods applied to large statistical problems in image processing, computer vision, and remote sensing.
I am a visiting researcher in the Vision and Image Processing Lab. I collaborate with professor David Clausi, professor Paul Fieguth, Post Doctoral Fellow (PDF) Christian Scharfenberger and Ph.D. Ahmed Gawish in the areas of image processing and digital watermarking.
My research interests mainly lie in the fields of image processing and computer vision and problems related to pattern recognition, machine learning, biomedical signal and image analysis.
Design, build, and application of scientific multispectroscopic, hyperspectroscopic, and interferometric imaging systems for various sensing applications: up-looking (astronomy) and down-looking (space instrumentation, Earth sciences, biomedicine, security, military).
Transformation of 1D and 2D Autoregressive Random Fields Under Coordinate Scaling and Rotation
I am originally from Beijing, China. I moved to Canada in 2005. I am currently a MASc student in the VIP lab working on biomedical imaging applications, hyperspectral imaging technologies and image sparse reconstruction.
My research interests are in 3D computer vision, image processing, and object recognition. I'm currently working on 3D reconstruction using low-cost hardware.
I am a fourth-year Ph.D student. Before I came here, I received my Master's degree in pattern recognition and intelligent systems from Wuhan University in China.