Christian Desrosiers
I am working, since 2009, as assistant professor in the Software and IT Engineering department at ÉTS. Before joining the departement, I was a postdoctoral research assistant at the University of Minnesota, under the supervision of professor George Karypis. I obtained my Ph.D. in applied mathematics at École Polytechnique de Montréal, in 2008.
My main areas of research are data mining, machine learning, biomedical imaging, recommender systems and business intelligence.
+ Research
My current research focuses on the developpement and application of machine learning techniques to solve problems in the fields of:
- Data mining
- Computer vision
- Biomedical imaging
- Recommender systems
- Social network analysis
- Business intelligence
+ Education
- LOG660 : High performance databases
- LOG770 : Intelligent systems
- MTI820 : Introduction to datawarehousing and business intelligence
+ Projects for graduate students
I am currently seeking motivated and passionate students to do a Master’s or a Ph.D. on a project related to my research interests. Please consult the Graduate student opportunities section for more information on the available reserach projects and possibilities of funding.
+ Undergraduate courses
LOG660 : High performance databases
Thsi course presents advanced concepts on the analysis and development of complex applications using databases (DB). The topics covered in class include modeling complex relations in relational DBs, ORM persistence frameworks and non-relational DBs, physical DB implementations and query optimization, concurrency and consistency control in DBs, data warehousing and business intelligence, as well as parallel and distributed DBs.
LOG770 : Systèmes intelligent
This course is an introdcution to automatic learning in computers and the application of machine learning in intelligent systems. Among the topics covered by the course are parametric regression, Bayes classification, dimensionality reduction, clustering algorithms, decision trees, neural networks and support vector machines.
+ Graduate courses
MTI820 : Introduction to data warehousing and business intelligence
This course covers the main concepts and principles of data warehousing and business intelligence (BI). Topics presented in class include the development cycle of a BI project, data warehouse architectures, dimensional and physical data modeling, ETL data processing, data analysis and reporting applications, data mining, and data governance.
+ Original articles in refereed journals and books chapters
«Deep radiomic signature with immune cell markers predicts the survival of glioma patients»Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi” |
«Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images»Ahmad Chaddad, Lama Hassan, Christian Desrosiers” |
«Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets»Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells, Matthew Toews” |
«Learnable pooling in graph convolutional networks for brain surface analysis»Karthik Gopinath, Christian Desrosiers, Herve Lombaert” |
«No-reference video quality assessment using distortion learning and temporal attention»Koffi Kossi, Stéphane Coulombe, Christian Desrosiers, Ghyslain Gagnon” |
Read More >
+ Papers in refereed conference proceedings
«Symmetric contrastive loss for out-of-distribution skin lesion detection»Xuan Li, Christian Desrosiers, Xue Liu” |
«Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis»Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert” |
«Forecasting lightpath QoT with deep neural networks»Hussein Chouman, Petar Djukic, Christine Tremblay, Christian Desrosiers” |
«Teach me to segment with mixed supervision: Confident students become masters»Jose Dolz, Christian Desrosiers, Ismail Ben Ayed” |
«SegRecon : Learning joint brain surface reconstruction and segmentation from\xa0images»Karthik Gopinath, Christian Desrosiers, Herve Lombaert” |
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+ Current research projects
- Multi-atlas segmentation of images and 3D volumes, based on manifold learning and random walks
- Segmentation of images and 3D volumes using probabilistic shape prior models
- Temporal social network analysis using manifold learning
- Anomaly detection in real-time RFID data
+ Research group and laboratory affiliations
+ Current Students
Ph.D. students
- Alpa Jayesh Shah
- Luc Trudeau
Master’s students
- Jean-Philippe Morin
+ Previous Students
- Jonathan Hadida (maîtrise)
- Kuldeep Kumar (stagiaire)
- Davi Carneiro (stagiaire)
+ Education
- École Polytechnique de Montréal, Canada
Ph.D. in applied mathematics
Thesis title : “Techniques pour l’exploration de données structurées et pour la découverte de connaissances en théorie des graphes”
Degree received in May 2008
- École Polytechnique de Montréal, Canada
Master’s in computer engineering (M.Sc.A)
Thesis title : “Détection d’ensembles incohérents irréductibles dans des problèmes de satisfaction de contraintes irréalisables”
Degree received in May 2004
- École Polytechnique de Montréal, Canada
Bachelor’s in computer engineering (B.Ing.)
Specialty : Artificial intelligence and robotics
Degree received in December 2000
+ Experience
2009/09 – Current
Assistant professor, École de technologie supérieure in Departement of Sofware and IT Engineering
- Supervision of funded research projects, in collaboration with other reseachers or the industry.
- Supervision of graduate and undergraduate students.
- Development and teaching of engineering courses.
2008/09 – 2009/09
Post Doctoral Researcher, Computer Science department in University of Minnesota
- Research on within-network classification, recommender systems and pattern detection in dynamic networks, under the supervision of professor George Karypis.
2001/01 – 2002/04
Software engineer, Engenuity technologies in Montreal
- Development of software for tactical simulations.
- Programming of tools to generate synthetic environments and the creation and control of simulation scenarios.
2000/05 – 2000/09
Intern researcher, Samsung Advanced Institute of Technology in South Korea
- Development of an interface to capture video and control a camera remotely, for a facial recognition system.
Professionnal affiliations
- Member of the Order of Professional Engineers of Quebec (OIQ)
Review committee for journals and conferences
- ACM Conference on Recommender Systems
- SIAM International Conference on Data Mining
- The Computer Journal
- Simulation Modelling Practice and Theory
- Very Large Data Base Journal
- Data Mining and Knowledge Discovery
- Knowledge and Information Systems
- Journal of Machine Learning Research
- ACM Transactions on Knowledge Discovery from Data
- ACM Transactions on Internet Technology
- Annals of Statistics Journal
- Mining and Learning with Graphs
- Database and Expert Systems Applications
- ACM Conference on Information and Knowledge Management
- International Conference on Knowledge Discover and Information Retrieval
- IEEE Systems, Man and Cybernetics
- International Journal of AI Tools
- Pacific-Asia Conference on Knowledge Discovery and Data Mining
- IEEE Transactions on Knowledge and Data Engineering
- European Conference on Machine Learning
+ Research opportunities for Master’s and Ph.D. students
I am constantly seeking motivated and passionate students to fill various reseach projects on the topics of data mining, machine learning, computer vision and biomedical imaging. These projects offer a unique opportunity to work with state-of-the-art technologies on practical applications, in a multidisciplinary environment that encourages collaborations with other members of the research group. Funding may be available, depending on the project and the profile of the candidate.
To apply to a research project, please send me by email the following information:
- A short letter explaining your motivations, research interests, and targeted project(s). Also specify the target starting date of your studies and your financial support requirements.
- An up-to-date resume (list your publications, if any).
- Transcripts of Bachelor’s degree level studies (and transcripts of Master’s degree studies for doctoral candidates).
+ Available research projects
+ Undergraduate Final Projects
Course: GTI792 / LOG792 : Projet de fin d’études en génie
This course focuses on the analysis and development of an application, allowing students to apply the concepts and abilities acquired during their studies in engineering.
Examples of projects:
- Facial recognition.
- Automatic classification and segmentation of images.
- Image content-based retrieval based (ex: using sketches or similar images).
- 3D image reconstruction.
- Automatic recommandation of documents or products.
- Information or spam filtering.
- Augemented reality on a mobile platform.
- Artificial intelligence applied to video games.
- Big Data technologies (ex: Map Reduce).
- Parallel processing using GPUs.
Christian
Desrosiers
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca