Saeid is a PhD graduate in the Systems Design Engineering department. He holds an M.Sc. in remote sensing from K. N. Toosi University of Technology in Tehran, Iran, where he developed a passion for applying advanced machine learning techniques to remote sensing applications.

Kanav was a PhD Candidate at the University of Waterloo, supervised by Prof. David Clausi and Prof. John Zelek. He worked on computer vision-based sports analytics, with a focus on problems such as player tracking, player identification, event detection, and pose estimation.

I’m a PhD student specialized in Machine Learning & Intelligence. My research interests include deep learning, computer vision, probabilistic graph models, and their applications to various data interpretation scenarios.

Ph.D. 2021

I am very interested in spectropolarimetric optical imaging techniques and utilizing them for medical purposes. I have extended interests as well in medical image processing and analysis, in particular with prostate MRI.

My research interests include image processing and computer vision, with specific emphasis on biomedical imaging. My current research primarily focuses on computer-aided prostate cancer detection and grading via multi-parametric MRI. Other projects include lung nodule segmentation, video photoplethysmography, and illumination-robust feature detection.

I am a Ph.D. student under the supervision of Professor Paul Fieguth. My research is on graph mapping and similarity.

My research applies computers to analysis and optimization problems in healthcare, with a focus on cancer. This involves pattern recognition, statistical machine learning, health informatics, signal & image processing and other disciplines.

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).

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 predictive models based on those structures. Besides this, I am researching about the functionality of human visual system and learning how to model impressive properties of this mysterious system.

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).

My research interests are in image processing, medical image registration and reconstruction and I am currently working on computer-aided melanoma (one type of skin cancer) diagnosis through the modeling of physiological characteristics of skin lesions using multi-spectral imagery.

My research areas include image processing (statistical), machine learning, and computer vision. I am working under the supervision of Professor Fieguth.

My research interests lie in the fields of machine learning, computer vision, and image processing, with particular applications in remote sensing.

I’m interested in the fields of image processing, computer vision, pattern recognition and related areas. My current researches are both in biomedical imaging and remote sensing.

My research interests lie in the area of data assimilation and large scale satellite image classification and mapping.

My research interests are in the fields of image processing, machine learning and computer vision with an emphasis on Compressive Sensing for efficient signal acquisition.

Ultra High Resolution Optical Coherence Tomography (UHROCT) Reconstruction, Corneal Imaging, Tracking Systems, Controls, Statistical Modelling, Systems Integration, Real-Time Communications, Computational Intelligence.

My research is focused on pattern recognition and machine learning theory and algorithms to make an optimal decision such as identifying or classifying objects in remote sensing (RS) imageries for natural disaster reduction. Currently, I’m mainly concentrating on how to apply the probabilistic topic models to conduct semantc analysis on RS imageries.

My research interests are in the fields of remote sensing, image sparse representation and compressed sensing. I am now most interested in the techonology of using sparse representation algorithm to do image denoising, super-resolution, and medical image reconsruction, etc.

My research interests lie in multidimensional signal processing, statistical modeling, and machine learning. My work is focused on the developing methodology and application algorithms for multivariate data analysis, multiresolution representation and estimation, in particular, for image and video processing, remote sensing and scientific sensing data modeling and analysis.

My main research interests are in the field of computer vision, pattern recognition, and machine learning for video analytics with the focus on human tracking and event/activity recognition in video. I developed several algorithms for image and video analysis including detection and tracking of humans in video, motion estimation, multi-resolution video processing, biologically-inspired spatio-temporal filtering, local video event detection, and action classification.

Her current research interests include computer vision, texture analysis, pattern recognition and image processing.

Akshaya has been working in the field of image processing, pattern recognition and computer vision for nine years. He has been publishing and serving as an reviewer for several key image processing and computer vision conferences and journals.

Her current research is on statistical pattern recognition and multidimensional data modeling.

Current research interests focus on problems related to operations research and risk analysis.

My research interests include image segmentation, remote sensing, and video analysis. I am currently working on fast and efficient algorithms on action recognition for video surveillance. I am also interested in simultaneous localization and mapping.

Research interests include medical imaging, wavelets, and algorithms.

Research interests include statistical learning of generative and discriminative models for massive data sources with particular attention in statistical computer vision and pattern recognition.

His research interests include statistical signal and image processing, pattern recognition, and remote-sensing applications.

His research interests include airborne and spaceborne SAR and optical remote sensing, hierarchical algorithms, and the development of enterprisewide software solutions that integrate GIS and remote sensing techniques.