PeoplePast Collaborators
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Past Collaborators

Dr. Ken Farion
(MD, FRCPC)

Ken Farion, MD, FRCPC, is an Associate Professor in the Faculty of Medicine at the University of Ottawa and Medical Director & Chief of the Emergency Department at the Children's Hospital of Eastern Ontario. He also serves as CHEO's Medical Director of Quality & Systems Improvement, helping to engage physicians and staff in adopting various process improvement methodologies, such as Lean, to the health system. Finally, Dr. Farion is actively involved in the hospital's implementation of information systems.

Dr. Farion's research interests include the development of clinical decision support systems for use in the Emergency Department. His role is to provide the clinical direction for the research and oversee the design, validation and implementation clinical trials of the MET support environment. Dr. Farion also provides consultancy on the workflow in the Emergency Department and clinical decision making. Outside of the MET research team, he participates in various clinical and health systems research projects with other researchers at the CHEO Research Institute (www.cheori.org) and across the PERC (Pediatric Emergency Research Canada) Network (www.perc-canada.ca).

Dr. William Klement

William Klement is a computer scientist specialized in evaluating the performance of machine learning methods with a particular interest in medical applications. His research interests include also: learning in the presence of severe class imbalance, multi-criteria decision-making, self-adjusting data structures, and high performance computing. Dr. Klement is member of the Canadian Transplant Registry team part of the Organ and Tissue Transplantation Division in Canadian Blood Services. Dr. Kelment is also an Adjunct Professor at the Faculty of Computer Science at Dalhousie University. After completing his PhD in computer science at the University of Ottawa, Dr. Klement enrolled in post-doctoral training in areas including medical decision-making, cell signalling and biology, and cancer patient care and treatment, particularly, lung cancer leading to a career in Lung Transplantation with the Latner Thoracic Surgery Lab at The Toronto General Research Institute, University of Toronto.

Dr. Craig Kuziemsky

Craig Kuziemsky graduated with a PhD in Health Information Science from the University of Victoria in British Columbia and joined the Telfer School of Management at the University of Ottawa in July 2007 as an Assistant Professor. Craig teaches courses in information systems at the Master’s and undergraduate levels. Craig’s primary research interests are methodological approaches for the design and evaluation of healthcare information systems. He is specifically interested in the areas of information systems design and evaluation, health information, information management, palliative care, and interdisciplinary communication. Craig has been involved in the MET research project that is developing a clinical practice guideline implementation model as well as research on the evaluation of MET applications.

Di Lin

Di Lin is a Ph.D. student with the Department of Electrical and Computer Engineering, McGill University. He was a research assistant with Telfer School of Management, University of Ottawa. His research interests are in designing wireless healthcare monitoring networks, designing IT-based decision support systems, modeling patient flow in an emergency department of a hospital, and modeling how information flows in large-scale social networks impact customers' demand. Di's contribution to the MET research included modeling and executing clinical practice guidelines for a co-morbid patient and its implementation on the platform of ECLiPSe.

Prof. Stan Matwin

Stan Matwin is a professor at the School of Information Technology and Engineering, University of Ottawa, where he directs the Text Analysis and Machine Learning (TAMALE) lab. His research is in machine learning, data mining, and their applications, as well as in Privacy-Enhancing Technologies. Former president of the Canadian Society for the Computational Studies of Intelligence (CSCSI) and of the IFIP Working Group 12.2 (Machine Learning). Member of the Board of the Centre for Communications and Information Technology of the Ontario Centres of Excellence, he is an Ontario Champion of Innovation. Programme Committee Chair and Area Chair for a number of international conferences in AI and Machine Learning. Member of the Editorial Boards of the Machine Learning Journal, Computational Intelligence Journal, Journal of AI Research, and the Intelligent Data Analysis Journal. Stan's role was to provide expertise on data mining, development of clinical decision models, and addressing privacy issues associated with decision support at the point of care.

Dr. Steven Rubin
(MD, FRCSC, FRCS)

Steven Rubin is a Professor in the Faculty of Medicine at the University of Ottawa, and General Surgeon at the Children's Hospital of Eastern Ontario. He is an active member of international medical societies and he has published peer reviewed articles and contributed chapters to textbooks. His major research interests are the enteric nervous system of the human infant, the respiratory physiological changes of laparoscopy in infants, and the use of computer technology in improving the management of pediatric emergencies. Dr. Rubin provides consultancy on the triage of abdominal pain and overall patient management process.

Dr. John Pike
(MD, FRSCS)

John Pike was an Associate Professor in the Faculty of Medicine at the University of Ottawa. He was also Urologist at the Children's Hospital of Eastern Ontario and the Ottawa Hospital - Civic Campus. His research interests included the surgical management of the neurogenic bladder patient and the use of computer technology in managing pediatric urologic emergencies. Dr. Pike acted as a consultant in the area of urology related emergencies.

Prof. Carlisle Adams


Carlisle Adams is an Associate Professor in the School of Information Technology and Engineering (SITE) at University of Ottawa. His research and technical contributions include the CAST family of symmetric encryption algorithms, secure protocols for authentication and management in Public Key Infrastructure (PKI) environments, an architecture and policy language for access control in electronic networks, efficient mechanisms to assess and constrain the trust in a network, and effective techniques to preserve and enhance privacy on the Internet. In the MET Program Dr. Adams was responsible for designing and implementing security solutions.

Prof. Andy Adler

Andy Adler holds a Canada Research Chair (Tier 2) in Biomedical Engineering in Systems and Computer Engineering at Carleton University. His research interests are in the development of novel biomedical measurement devices and medical image and signal processing algorithms. In MET research Andy was involved in software engineering and system design

Davood Astaraky

Davood Astaraky graduated with master of science in Systems Science from the University of Ottawa and joined the MET research group . He holds a bachelor degree in Industrial Engineering from Isfahan University of Technology, Iran. His Master thesis involved a Markov decision process model that sought to determine intelligent multi-class, multi-resource surgical scheduling policy. Davood's primary research interests are the application of operations research, operations management , data mining and health informatics to improve the efficiency of health care management. Davood is involved in the MET4 research project that is developing agent based system to support workflow execution by an interdisciplinary health care team.

Dr. Jerzy Błaszczyński

Jerzy (Jurek) Błaszczyński holds a Ph.D. in Computer Science from Poznan University of Technology, Poland. He is a researcher in the Laboratory of Intelligent Decision Support Systems, Poznan University of Technology. His research interests include data analysis and decision support. Jurek joined the MET research team to work on methodology for developing clinical decision support modules and MET2 architecture design.

Dr. Mounira Kezadri

Mounira Kezadri obtained her PhD in computer science from the Institut National Polytechnique (Toulouse, France) under the supervision of Marc Pantel. Her research interests include formal methods, theorem proving, model driven engineering, verification and validation of safety critical systems and ontologies for knowledge sharing. Mounira is actually a postdoctoral fellow with the MET Research Group working on the mitigation of clinical practice guidelines for co-morbid patients using formal methods and the modeling of multidisciplinary healthcare teams.

Mathieu-André Chiasson completed a Bachelors Degree in Software Engineering with the Management option from the School of Information Technology and Engineering at the University of Ottawa. Mathieu-André worked on the implementation of a client-access web application module for the MET clinical trial. He was also involved in programming the MET software for mobile platforms.

Nick Erdody

Nick Erdody completed dual undergraduate degress in biology and political science at the University of Guelph, and is completing a Masters Degree in Political Science at the London School of Economics. During his involvement in the MET research he was responsible for retrospective chart review and transcription of abdominal pain data.

Dr. Marta Kersten

Marta Kersten holds a Masters Degree in Computer Science from Queens University. Both her undergraduate and graduate research were in the field of Medical Computing. Marta was involved in the design and development of the MET interface and in the mining of asthma retrospective data. She was also our first MET web designer and developer.

Dr. Marisela Mainegra Hing

Marisela Mainegra Hing is a Postdoctoral Fellow at the Telfer School of Management. Previously she was Researcher and Assistant Professor of Mathematics at the Central University of Las Villas, Cuba. She holds a PhD in Operations Research from the University of Twente, Netherlands, a Master in Applied Mathematics and a Bachelor in Computer Science from the Central University of Las Villas, Cuba. Her research interests are in process modeling and optimization, data analysis and artificial intelligence. In MET research she is working on developing models of clinical practice guideline for patients with co-morbidity.

Nataliya Milman was a medical student in the Faculty of Medicine, University of Ottawa. Having a Bachelors Degree in Computer Science from the University of Toronto, Nataliya acted as a liason between the medical and the technical groups involved in the MET research. She also assisted with the MET-AP clinical trial.

Robert Payne was a medical student in the Faculty of Medicine, University of Calgary. In preparation for medical school Robert completed an undergraduate degree in biology at the University of Ottawa. He was the data abstractor for the MET-AP retrospective chart review.

Bernard Plouffe

Bernard Plouffe completed an undergraduate degree in Computer Science at the Université du Québec en Outaouais. Bernard was responsible for the early design and implementation of the MET server. He also worked on the database design and supported the clinical trial of MET-AP.

Dr. Xing Tan

Xing Tan was a Postdoctoral Research Fellow in the MET group at the Telfer School of Management. He holds a Ph.D. in Industrial Engineering (speclized in Information Studies) from the University of Toronto. Xing's expertise is in the area of knowledge representation and reasoning. More precisely, his research has been extensively involving in formal descriptions of complicated processes, complexity-theoretical analysis of processes, and their applications to graphical process modeling languages such as Petri nets and UML activity diagrams.

Dr. Dawid Weiss

Dawid Weiss holds a Ph.D. Degree in Computer Science from Poznan University of Technology. He was an Assistant Professor in the Laboratory of Intelligent Decision Support Systems, Poznan University of Technology and now he runs the Carrot Search company offering solutions in advanced text serch. His research interests are in designing complex computer systems and text search. Dawid's contribution to the MET research included development of ontological models, architecture design, and its Java implementation.

Hongyang Wen

Hongyang Wen completed an undergraduate degree in Computer Science at the Bemidji State University in MN, U.S. and was a master student in System Science in the School of Information Technology and Engineering at the University of Ottawa. In the MET research Hongyang was responsible for the implementation of hip pain application (MET-HP).