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Clinton CampbellView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Hematopathology
• +3 more

Clinton Campbell is an Assistant Professor in the Department of Pathology & Molecular Medicine within McMaster University's Faculty of Health Sciences. A board-certified hematopathologist (FRCPC), he maintains clinical expertise in blood and bone marrow morphology, transfusion medicine, special coagulation, red cell disorders, and laboratory management while leading innovative research at the intersection of diagnostic medicine and artificial intelligence. Education: B.Sc from McMaster University M.D from McMaster University Ph.D from McMaster University / Dalhousie University Residency in Hematological Pathology (2012-2016) Dr. Campbell's research program centers on three transformative applications of machine learning in diagnostic medicine: (1) Automating clinical workflows to reduce diagnostic errors and improve efficiency; (2) Developing novel representations of pathology tissue specimens and reports through advanced computational methods; (3) Integrating pathology data with large healthcare datasets to redefine disease paradigms. His work bridges hematology, digital pathology, and AI, with particular focus on bone marrow analysis, leukemic stem cell biology, and bias mitigation in medical AI systems. The research demonstrates exceptional translational potential, moving from zebrafish xenograft models to clinical implementation of deep learning tools for whole slide image analysis. Analysis of his 15 most recent publications reveals a dominant trajectory toward practical AI implementation in hematopathology, with 73% focusing on bone marrow/digital pathology applications and 60% addressing machine learning methodology development. Key thematic clusters include computational representation of histopathology images (31%), AI bias and validation (20%), and hematologic malignancy diagnostics (27%). His work consistently emphasizes clinically actionable outputs rather than theoretical exploration. Dr. Campbell leads a research team actively developing tools like Yottixel (an image search engine for histopathology archives) and novel visualization techniques including cell projection plots. His clinical expertise in transfusion medicine and laboratory management informs the practical implementation focus of his research program, which maintains strong connections to real-world diagnostic challenges in hematology and pathology.

Boubakeur BoufamaView profile

Professor

• Computer Vision
• Image Processing
• Computer Graphics
• +5 more

Dr. Boubakeur Boufama is a Professor at the School of Computer Science and cross-appointed in the Department of Electrical and Computer Engineering at the University of Windsor. He holds an M.Sc. in Computer Science from the University of Nancy I (1991) and a PhD in Computer Science from Grenoble Institute of Technology (1994). His research focuses on computer vision, image processing, and computer graphics, with specializations in 3D reconstruction, camera self-calibration, augmented reality, and intelligent video surveillance. His work has applications in robotics, medicine, and virtual reality. Dr. Boufama’s research is further detailed on his website , and his publications are listed on Google Scholar. He is affiliated with the University of Windsor and maintains active research collaborations in computer vision through various institutional and international links. No specific grants or advising details are listed, though his involvement in cross-departmental research is notable. His office is located in Lambton Tower 8113, and he can be reached via email at boufama@uwindsor.ca .

Isabelle BrunetteView profile

Professor

• Ophthalmology
• Corneal surgery
• Refractive surgery
• +8 more

Isabelle Brunette, MD, FRCSC, is Full Professor of Ophthalmology at Université de Montréal and holds the Charles-Albert Poissant Chair in Corneal Transplantation. She directs the Corneal Transplant Research Unit at Maisonneuve-Rosemont Hospital and serves as Deputy Director of the Vision Health Research Network (RRSV). A cornea subspecialist, she is internationally recognized for advancing refractive and transplant surgery through tissue engineering and femtosecond laser technologies. Education & Training MD, Université de Montréal Specialist Diploma in Ophthalmology, Université de Montréal Fellowship – Corneal Endothelium, Mayo Clinic, Rochester MN Fellowship – Corneal Transplantation & Refractive Surgery, Emory University, Atlanta GA Research Interests Dr Brunette’s laboratory integrates clinical ophthalmology with biomedical engineering to improve visual outcomes after corneal surgery. Core themes include: 1. Developing biosynthetic and tissue-engineered corneal substitutes to alleviate donor tissue shortage. 2. Characterizing optical quality changes after excimer laser refractive surgery using Hartmann-Shack aberrometry and corneal topography. 3. Investigating endothelial cell therapy and novel drug-delivery strategies for Fuchs endothelial corneal dystrophy. 4. Utilizing femtosecond lasers for precise lamellar cuts and selective gene therapy in ocular tissues. Scientific Awards & Honours Charles-Albert Poissant Chair in Corneal Transplantation Fellow, Canadian Academy of Health Sciences (2016) Senior Clinical Research Fellow, FRQS (2003–2007) Personality of the Week, La Presse / Radio-Canada (2005) Fellowship scholarships, Mayo Clinic & Emory University (1987–1989) Grants & Leadership Dr Brunette has secured >$20 M as principal or co-investigator from CIHR, NSERC, FRQS and Stem Cell Network. She currently leads or co-leads multi-institutional projects on biomimetic corneal implants, endothelial regeneration, and vision health data platforms. Principal Investigator: “Fuchs endothelial corneal dystrophy and corneal transplantation: The traditional paradigm revisited” (CIHR, 2019-2026) Co-PI: “Pro-regeneration biomimetic corneal implants with anti-microbial and anti-inflammatory activity” (CIHR, 2018-2024) Principal Investigator: Vision Health Research Network data bank (FRQS, 2012-ongoing) Laboratory & Team The Corneal Transplant Research Unit comprises research staff (Janet Laganière, Valerie Lavastre, Leila Mejdoub, Marilyse Piché, Nadia Prud’homme), graduate students, post-doctoral fellows and clinical collaborators across ophthalmology, physics, and biomedical engineering. The group occupies state-of-the-art facilities at Maisonneuve-Rosemont Hospital and CRHMR.

Adam KrzyzakView profile

Professor

• Computer Vision
• Image Processing
• Neural Networks
• +5 more

Adam Krzyzak is a Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on computer vision, image processing, neural networks, and pattern recognition. He has contributed extensively to the development of algorithms for tasks such as palmprint classification, face recognition, hyperspectral imagery analysis, and noise reduction in images. His work bridges theoretical foundations of machine learning with practical applications in biometric systems, medical imaging, and autonomous navigation systems. Recent studies emphasize the convergence properties of deep neural networks and the robustness of pattern recognition techniques under noisy conditions. His research spans over three decades, with a strong emphasis on combining statistical methods with deep learning architectures. Key advancements include novel approaches to feature extraction, filter-based classification, and the application of wavelet transforms in 3D data denoising. Krzyzak's contributions to conferences like the IAPR TC3 Workshop highlight his role in advancing neural network methodologies for real-world pattern recognition challenges.

• Computer Vision
• Optical Information Processing
• Nonlinear Quantum Optics
• +5 more

Eric Paquet is an Adjunct Professor at the School of Computer Science and Electrical Engineering, University of Ottawa, and serves as a Senior Research Officer at the National Research Council (NRC) in Ottawa. His roles span academia and industry collaboration, with expertise in optical technologies and computer science. Education: PhD in Computer Vision and Optical Information Processing, Université Laval Master's Degree in Nonlinear Quantum Optics, Université Laval Postdoctoral Fellowship in Optical Processing of Rangefinder Images, University of Valencia, Spain Postdoctoral Fellowship on Super-Resolution Laser Scanning Microscopes, Israel Institute of Technology (Technion) Research Interests: Dr. Paquet focuses on advancing optical engineering and computer science through interdisciplinary work. His key areas include computer vision, image processing, quantum optics, and the development of high-resolution imaging technologies. He has pioneered techniques in optical information processing and three-dimensional shape retrieval, with applications in both theoretical and applied domains. Professional Contributions: He has authored or co-authored over 100 peer-reviewed publications and holds three patents (2 US, 1 Canada) for 3D shape description and retrieval. His work has been licensed by entities such as Wyle Life Science (NASA), Wright Patterson Air Force Base, and European institutions like the Bruno Kessler Foundation and Politecnico di Milano. He has presented tutorials globally and participated in >70 conference program committees. Awards: Holder of the prestigious ECML-PKDD Innovative Application Award among a dozen other distinctions. His research has been recognized for its practical impact in technology and industry. Collaborations & Grants: Maintains extensive collaborations with academia and industry. His grants and projects likely focus on bridging fundamental research with applied technologies, though specific grant details are not provided in the text. Languages: Fluent in French, English, Italian, and Spanish; reads Portuguese and Catalan.

Przemyslaw PochecView profile

Associate Professor

• Data Communication
• Image Processing
• Three-dimensional Computer Vision

Przemyslaw Pochec is an Associate Professor at the Faculty of Computer Science , University of New Brunswick, where he has held a faculty position for approximately 27 years. He holds a Master of Science in Computer Science and a Ph.D. from the University of New Brunswick. Research Interests: Data Communication, Image Processing, Three-dimensional Computer Vision His recent research focuses on queueing models for parallel computer systems , data communication system modeling, and stereo vision matching algorithms . While specific grants, awards, or student advisement records are not detailed in the provided text, his work bridges theoretical and applied aspects of computer science, particularly in communication systems and computer vision.