I am a researcher working on computer vision problems within agriculture, applying modern deep learning techniques to the detection problem within noisy and cluttered agricultural environments. My research interests include developing the spaces where agriculture intersects with deep learning and computer vision, and exploring techniques to take advantage of large amounts of unlabelled data to improve upon solutions to the detection problem.
I am a PhD student in the Hamarneh Lab interested in machine learning to predict quality attributes of cultivated plants. My research background is in optics, computer vision and plant pathology. I hold a Masters of Engineering from the Schajer lab at UBC, where I studied the use of laser light to determine the surface characteristics of fibrous woody tissue. Currently, I use computer vision to non-destructively measure the severity of disease in plant tissue (Punja Lab, SFU), develop deep learning methods to predict optimal time-to-harvest for the Cannabis industry, and investigate novel deep learning approaches to extract 3D vascular shapes from 2D images.
Graduate student with research interests on computer vision and deep learning approaches for agricultural management, crop health monitoring and disease prevention. Background in Mechatronics Engineering and industry related experience in the field of precision agriculture and remote sensing.
Dr. Hamarneh is a tenured Professor of Computing Science at Simon Fraser University (SFU). He has over 15 years of experience in developing computer vision, machine learning, and image processing methods for biomedical imaging and health applications. Dr. Hamarneh has been a Senior Member of IEEE and a Senior member of ACM since 2010. He is a Founding Member of the IEEE Engineering in Medicine and Biology Chapter in Vancouver. He is also a Medical Image Computing and Computer Assisted Interventions (MICCAI) society member and a member of the Djavad Mowafaghian Centre for Brain Health (formerly: Brain Research Centre), Kids Brain Health Network (formerly: NeuroDevNet), SFU/UBC Graduate Program in Bioinformatics, BCNI Behavioral & Cognitive Neuroscience Institute, SFU Neuroscience, SFU Centre for Disability Independence Research and Education, and others. Throughout his career and education, Dr. Hamarneh was affiliated with the University of Toronto and the Hospital for Sick Children, Chalmers University of Technology, University of Jordan, Rostock University, INRIA and École Central Paris, France. He is an author on over 250 publications, and serves as a reviewer for the main journals (e.g. IEEE TMI, IEEE TPAMI, IEEE TIP, and J. MedIA) and program / review committee member for the main conferences in his area (e.g. MICCAI, IPMI, SPIE MI, IEEE ISBI, IEEE ICCV, IEEE CVPR). He organized several international workshops on mathematical methods for medical image analysis, geometry for anatomy, and functional medical image computing. Research homepage: www.MedicalImageAnalysis.com