I am currently employed as the manager of software systems development at Tornado Medical Systems, a young medical device startup in Toronto. Here I am responsible for the group doing algorithm research as well as those doing product development and scientific programming.
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
I am a Master's student in the Department of Systems Design Engineering at University of Waterloo. I am currently working on 'SAR sea ice image ice and open water classification' under the supervision of Prof. David Clausi.
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.
Research topic: Video Analysis
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.
G. F. Carballo received his B.S. degree in computer science in 1992 and his B.S. degree in astronomy in 1993, from the Universidad de la Republica, Montevideo, Uruguay. He received his Ph.D. degree from the Royal Institute of Technology, Stockholm, Sweden, in geoinformatics.
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.
Neil Cavan completed his undergraduate degree in Mechanical Engineering at the University of Waterloo in 2007. After working as a mechanical designer for two years, he completed his MASc in Systems Design engineering in August 2011 and is currently employed at 2G Robotics.
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.
My research interests include topics in image processing and computer vision. I am primarily interested in photopletyhsmography imaging and its application to the analysis of remote heart rate, respitory rate, and cognitive stress. In addition, I am interested in affect recognition and illumination robust keypoint detection.
My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of SAR (synthetic aperture radar) and biomedical imagery. I am an active interdisciplinary and multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields of remote sensing, computer vision, algorithm design, and biomechanics. My research efforts have led to successful commercial implementations including creating and selling a startup company (CREZ).
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.
Huawu Deng received his B.A.Sc. degree from Beijing University, Beijing, China, in 1992, his M.Eng. degree from the Research Institute of Petroleum Exploration and Development, Beijing, China, in 1995, and his Ph.D. from Nanyang Technological University, Singapore, in 2001. From 2000 to 2002, he was an Information Technology Analyst for a regional bank in Singapore. He was a Postdoctoral Research Fellow with the University of Waterloo, Waterloo, ON, Canada.
I completed my Ph.D. at the University of Waterloo with the Department of Systems Design Engineering in addition to employment as an Adjunct Lecturer at the university. My research interests include, but are not limited to, Computer Vision, Real-World Modelling and Simulation, Robotics, Corneal Medical Imaging, Statistical Pattern Recognition, Three-dimensional Reconstruction, Artificial Intelligence, and Artificial Life.
Video Tracking in Outdoor Environments Using 3D Models
My research interests are in the area of accelerated computational methods applied to large statistical problems in image processing, computer vision, and remote sensing.
Ahmed Gawish finished his B.Sc. and M.Sc. degrees from the Faculty of Computers and Information, Cairo University 2001, 2006 respectively. In June 2011, Ahmed joined the VIP lab as a Ph.D candidate working under the supervision of prof. Fieguth.
Ryan's research interests during his M.A.Sc. in the VIP group were in the design of machine vision algorithms to support real-time processing of defect analysis in plasma display panels (PDPs). Since then, Ryan has over 25 years experience in engineering, R&D, customer support and management. He now works at CCPower, and has worked as the business development director for GE embedded systems in the Asia Pacific region; he also worked in Canada and Japan for a leading supplier to the semiconductor and FPD markets. Ryan speaks Chinese, Japanese, and English and has a strong network of business contacts in Asia and North America. Ryan also holds his BSc in photogrammetry and remote sensing at Wuhan University and has completed financial accounting management training at Harvard University.
My research interests are in the fields of pattern recognition and image processing, applied to biomedical imaging. I am interested in developing image processing algorithms to automate the analysis of medical images, such as those captured using MRI, X-ray or other modalities. Other work is in the area of novel video compression algorithms.
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 current research primarily focuses on content-adaptive projector resolution enhancement.
Peter Iles focused his MASc research in the VIP research group on image processing and computer vision. His objective was the ability to automatically count cells in embryonic tissue. Peter received both his undergraduate and graduate degrees in Systems Design Engineering from the University of Waterloo. Peter is now a project manager for vision systems at Neptec Design Group where he develops 3D vision algorithms for automatic target recognition, change detection, scene segmentation, and visual odometry. He is currently the navigation lead for Neptec's Artemis lunar rover prototype. During his time at Neptec he has also taken the role as image analyst for Neptec's Laser Camera System for five Space Shuttle missions, and lead analyst for four missions.
I completed my B.Tech in Electrical Engineering from IIT Delhi and am enrolled as an MASc student in the Systems Design Engineering department. I am working under the supervision of Prof. Paul Fieguth and Prof. A. Wong.
Research interest: Remote Sensing
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
After completing my MASc degree in the field of detecting emotions in music, I am now an engineer working in video processing at Magnum Semiconductor in Waterloo, Ontario, Canada.
I received my B.Tech. degree in Aerospace Engineering from IIT Kharagpur (India). After that I worked for six years in the field of Car tracking, Human detection, Online handwriting recognition in start-up companies around India. My objective in completing my MASc is to get better insight in the various challenging but practical problems in the field of machine vision.
Research topic: Remote Sensing
I received my undergrad degree in Systems Design Engineering from the University of Waterloo in 2011. I continued into a masters degree in the same department under the supervision of Professor David Clausi. I gained some experience of how the human brain processes visual information while working in the Computational Neuroscience Research Group at the University of Waterloo for 8 months.
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.
Ying Liu received her Ph.D. degree in the field of signal and image processing at the University of Waterloo in the department of Systems Design Engineering in 2011. She received her B.E. degree from Huazhong University of Science and Technology, and her M.Sc. from Chinese Academy of Science.
I have an undergraduate degree in Physical Geography - Université de Montréal (1986), an M.Sc. in Geography - Université de Montreal (1990), and a PhD in Remote Sensing - University of Queensland (2001). I am currently an adjunct professor at the Universidade Federal de Minas Gerais. I have strong experience in the geosciences with an emphasis on remote sensing.
Kurtis McBride completed his BASc (2004) and MASc (2007) in Systems Design Engineering at the University of Waterloo. During his MASc, he conducted research in the VIP lab building algorithms to interpret the movement of vehicles through a traffic intersection in a digital video. This work was successful and transferred by Kurtis to his spinoff company, Miovision Technologies Incorporated, which now specializes in video analytics in the traffic data collection industry. Kurtis is not only one of the founders, but he remains as the original CEO. Now based in adjacent Kitchener, Ontario, Miovision continues to grow and generate revenue under Kurtis' leadership.
After completing his Ph.D. Akshaya worked for one year for Tornado Medical Systems, where he developed algorithms for reconstruction and analysis of Optical Coherence Tomography (OCT) signals. Recently, Akshaya has joined Miovision Technologies Pvt. Ltd to work in the areas of intelligent traffic data analysis and management. Akshaya's interest includes but are not limited to document image analysis, medical image reconstruction and analysis with a focus on Optical Coherence Tomography signals, traffic data analysis and management, quantitative image quality assessment and modeling and optimization of data of any kind
As a PhD student at the Department of Systems Design Engineering, Azadeh Mohebi started her research with Professor Fieguth in the VIP lab on the statistical fusion of scientific images. Her research was specifically on fusing 2D high-resolution images and MRI low-resolution samples of porous media, using statistical models to generate artificial 2D images with higher resolution.
Research interest: Satellite SAR Sea Ice Classification
Following graduate school, I attended law school and currently practice as a commercial litigator in Toronto. I am founding director of Kulemela Canada, an organization that aims to promote technical and engineering know-how in underdeveloped regions of the world.
My research interests include pattern recognition, image processing, computer vision, machine learning, evolutionary computation, remote sensing data analysis, biometrics and bioinformatics.
Kirsten has worked in robotics and electrical engineering creating ethanol from waste cellulose, reducing pain from pressure on neurofibromas, and on building underwater robots, adjustable high-heeled shoes, operating systems for Blackberries, and energy models.
I was a post-doctoral fellow in the Vision and Image Processing Lab from 10/2011-12/2014. I collaborated with the professors David Clausi, Alexander Wong, John Zelek, and Steven Waslander in the areas of image processing, computer vision, and robotics. Please find a selection of research projects I am/was involved with listed below.
I completed my Ph.D. in Systems Design Engineering in 2013 at University of Waterloo. I served as an adjunct Professor at the Department of Systems Design Engineering, University of Waterloo, Ontario, Canada.
My primary research interests lie in visual scene understanding. I am mainly concerned with solving problems arising in visual perception and action recognition, which are key components in many vision applications such as surveillance, robot guidance, multi-modal image interpretation, remote sensing, and visual field monitoring. I also focus my attention on the processing of optical/sonar images for underwater vision applications. Recently I’ve had a chance to explore many aspects falling at the edges between computer vision, computer graphics, and machine learning, such as performance-based animation, procedural animation, shape descriptors and spectral geometry for shape analysis.
From Aug. 2012 until present, Amir is an Adj. Assistant Professor at the University of Waterloo, continuing his academic endevour with the focus on Computer Vision and Pattern Recognition. He is actively collaborating with other faculties and local industries.
My research interests are primarily in the field of computer vision and pattern recognition with a focus on video analytics. I am particularly interested in action/activity recognition in videos using a weakly supervised approach.
Frederick Tung received the MASc degree in systems design engineering from the University of Waterloo in 2010. His research interests lie in computer vision, image processing, and pattern recognition; his current projects include image segmentation,motion estimation,and behaviour and scene analysis for intelligent surveillance.
I finished my B.Sc. and M.Sc. degrees in 2009 and 2012 respectively from the school of remote sensing and information engineering of Wuhan University in China. In Sep. 2012, I enrolled in University of Waterloo as a PhD candidate working under the co-supervision of Prof. Andrea Scott and Prof. David Clausi. I have a extensive background in satellite image classification, photogrammetry, remote sensing, data assimilation and LiDAR data processing.
My current research focuses on Image Processing and Computer Vision, or more specifically, automated image and video analysis through detection, tracking and segmentation methods.
My research interests include stochastic graphical learning and modeling for large-scale networks and data mining and visualization, affective computing, image processing, computer vision, signal processing, femtocell networking, network control theory, wideband spectrum sensing, and dynamic spectrum access. My current focus is on efficient high-resolution, remote spatial biosignals measurements using video imaging for affective computing.
His research interests primarily lie in artificial intelligence and computational imaging. In the area of computational imaging, his focus is on integrative computational imaging systems for biomedical imaging (inventor/co-inventor of Correlated Diffusion Imaging, Compensated Magnetic Resonance Imaging, Spectral Light-field Fusion Micro-tomography, Compensated Ultrasound Imaging, Coded Hemodynamic Imaging, High-throughput Computational Slits, Spectral Demultiplexing Imaging, and Parallel Epi-Spectropolarimetric Imaging). In the area of artificial intelligence, his focus is on operational artificial intelligence (co-inventor/inventor of , generative synthesis, evolutionary deep intelligence, Deep Bayesian Residual Transform, Discovery Radiomics, and random deep intelligence via deep-structured fully-connected graphical models).
Xuezhi Yang received his B.Eng. degree from Anhui University, China, in 1992, the M.Eng. degree from Hefei University of Technology, China, in 1995, and the Ph.D. degree from The University of Hong Kong, China, in 2003. From 2006 to 2007, he worked as a postdoctoral research fellow in the Department of Systems Design Engineering at the University of Waterloo, Canada. He is currently a professor in the School of Computer and Information at Hefei University of Technology. His research interests include image processing, pattern recognition, automated interpretation of Synthetic Aperture Radar (SAR) imagery, and automated visual inspection system.
I received my B.A.Sc. degree in Electrical Engineering from the Tsinghua University, China in 1997, my M.A.Sc. degree in Electrical and Computer Engineering from the Memorial University of Newfoundland, Canada in 2002, and my Ph.D. degree in Systems Design Engineering from the University of Waterloo, Canada, in 2006. I am currently working at Eutrovision inc, Shanghai, China.
I am a researcher and developer with expertise in the areas of image processing, remote sensing and computer vision. I received BASc and MASc degrees in Systems Design Engineering from the University of Waterloo in 2007 and 2009, respectively. After obtaining my MASc, I continued working with the VIP lab as a research associate from 2009 - 2010. Since 2010, I have been working in industry on image processing techniques for medical and remote sensing applications.
Bing Yue received her bachelor degree in Electrical Engineering from Hebei University of Technology, Tianjin, China, in 1991, and the M.A.Sc. degree in Systems Design Engineering as part of the VIP group in 2001. From 1991 to 1999, she was a part of the Remote Sensing Geology Department of Research Institute of Petroleum Exploration and Development, Beijing, China, as an engineer. Since 2002, she was a Research Assistant with Noetix Research Inc., Ottawa, Ontario, Canada, under contract with the Canada Centre for Remote Sensing, Ottawa, Ontario, Canada
I have received my BSCE in Computer Engineering (Hardware) and MSCS in Computer Science (Machine Intelligence and Robotics) both from the Computer Engineering and Information Technology Department at Amirkabir University of Technology (Tehran Polytechnic) in 1999 and 2003 respectively.
Wen Zhang received his BASc in Systems Design Engineering from the University of Waterloo, Canada, in 2007, and his MASc in Systems Design Engineering from the University of Waterloo in 2009, where he was the recipient of the NSERC Graduate Scholarship. He currently works at Janro Imaging Laboratory in Montreal, Canada, the developers of the Stereoscopic Animation and Drawing Device (SANDDE), a system that allows artists and animators to create artwork directly in immersive 3D space.
Zilong Zhong is a PhD student specialized in Machine Learning & Intelligence. He is supervised by Prof. Jonathan Li and Prof. Alexander Wong. His research interests include deep learning, computer vision, probabilistic graph models, and their applications to various data interpretation scenarios.
Pascale is an M.A.Sc. student in the VIP Lab