Students

Postdoctoral Students

ADRIEN BARTON
Post-doctoral fellowship   – Université de Sherbrooke

Project
Biomedical Ontology.

Project description
I work on the development of biomedical ontologies and formal theories underlying the projects at the GRIIS. I contribute to the ontology of drug prescriptions PDRO, work on developping ontological theories of causality, probability and risk, and analyse the articulation between ontologies and temporalized relational databases.

My work also investigates the role of metaphysics in the development of applied ontologies, and the ethical analysis of consent to secondary use of clinical data in research.

Date of the beginning of the post-doctoral fellowship : 2015

Supervisor
Dr Jean-François Éthier


THIBAUD ECAROT
Post-doctoral fellowship – Université de Sherbrooke

Project
Securing a health-care information system.


Project description
The Learning Health and Social Services Research Platform (PARS3) is an ecosystem that provides access to multiple heterogeneous data sources through a distributed information system. These sources and data hosted are therefore dependent on the overall security of the tools and protocols used by PARS3. In this context, I am involved in the design and development of tools and algorithms to ensure the data anonymization and confidentiality, security and access control on data processed by computer systems used or developed within GRIIS.

Date of the beginning of the post-doctoral fellowship : 2018

Supervisors
Pr Luc Lavoie
Dr Jean-François Éthier


Doctoral Students

CHRISTINA KHNAISSER
Ph.D Software engineering – Université de Sherbrooke
Ph.D Public Health – Université de Paris Descartes

Thesis/project
Knowledge-driven modeling of historicized data warehouse.


Project description

Information systems are now at the center of health decisions. A very large volume of data associated with temporally interrelated events is generated every day. Healthcare facilities want to reuse this data for different types of analysis and share it in a usable way. The effectiveness of clinical studies depends on the quantity and quality of the data collected. On the one hand, the extraction of information of interest for study purposes remains a major challenge given the large number of heterogeneous sources and diverse knowledge. On the other hand, historicization has become a crucial issue in order to keep track of the evolution of data and improve clinical decision-making. The recommended approach is to build a data warehouse (DW) based on a knowledge model (ontology) to facilitate the integration of sources, the extraction of information and the expression of requests. The construction of an DW remains largely manual. The existing methods are based on ad hoc rules with a minimum of temporal management which limits the temporal interoperability and therefore to the exploitation of data. The goal is to develop a semi-automated method for constructing historicized DWs based on a knowledge model and a unified temporal model built according to fundamental criteria such as relational theory and realistic ontologies.

Started : 2016

Supervisors
Pr Anita Burgun
Pr Luc Lavoie
Dr Jean-François Éthier


PATRICK ANDJASUBU BUNGAMA
Ph.D – Université de Sherbrooke

Thesis/project
Proposition of a relational-temporal engine governed by the intervals logic.


Project description
The concept of time is gaining more and more importance in databases related to the health, financial or environmental domains. The attributes representing the temporal dimensions are used to ensure the historicization of the data and also to preserve the traceability of the data. Time can be represented by a point, when an event occurs at a certain point in time, or by an interval, when an event occurs over a period.

Temporal attributes can be used as keys, and can also be associated with other attributes to form composite keys. Their introduction into relations can lead to various problems, such as redundancy, circumlocution, inconsistency and non-compactness of data, in order to make data management much more complex. Complexity increases further when conventional (non-time) data models are used and query languages are used. The big challenge at the moment is the development of a relational machine allowing the efficient execution of operations on historicized schemes.

A particular problem arises when an attribute of type interval intervenes in a key (candidate or referential). The use of relational operators is very complex in this context. Several theoretical advances have been proposed, but it still remains to find a good representation and good data indexing structures (as well as good algorithms) to make them efficient in practice.

My doctoral project fits in this direction and aims to propose a solution that can make the relational operators perform well in the presence of interval attributes that intervene in a key (candidate or referential). The main components of my project are:

– optimization of existing operators,

– The proposal of an interval indexing structure,

– The proposal of the algorithms for the manipulation of the intervals on the indexing structure which will be proposed.

Started : 2017

Supervisors
Pr Luc Lavoie
Dr Jean-François Éthier


Masters Students

MEHRI ALSADAT AMIRI
Master’s degree in software engineering – Université de Sherbrooke

Thesis/project
Queries comparison.

Project description
The queries compare syntactically and then the results are compared, the corresponding message will be print in the console at each step.

Started : 2016

Supervisor
Pr Luc Lavoie


RYEYAN TASEEN
Master’s degree in Science – Université de Sherbrooke

Thesis/project
To come.

Project description
To come..

Started : 2016

Supervisors
Pr Luc Lavoie
Dr Jean-François Éthier


OLIVIER GRENIER
Master’s degree in  philosophy research type, specialization in applied ontology – Université de Sherbrooke

Thesis/project
Medical risk ontology.

Project description
My research aims at conceiving risk in a philosophically coherent way so that the characterization I develop can be used in ontologies applied to the biomedical field, such as the ones of the OBO Foundry.

Started : 2017

Supervisors
Adrien Barton
Pr François Claveau


SAMUEL DUSSAULT
Master’s degree in computer sciences – Université de Sherbrooke

Thesis/project
Guidance and automation for the mapping between an ontological data schema and a relational data source.


Project description

To establish a bi-directional mapping model between a PARS3 partner data source and the ontological relational model generated with OntoRelA and to develop guidance algorithms and automations that will allow a user to efficiently generate a reliable interface between them. This interface will be used by the PARS3 Data Mediators (MD).

Started : 2018

Supervisors
Pr Luc Lavoie
Dr Jean-François Ethier


MAXIME ROUTHIER
Master’s degree in software engineering – Université de Sherbrooke

Thesis/project
To be determined.

Project description
To come.

Started : 2018

Supervisors
Pr Luc Lavoie
Dr Jean-François Ethier


ABDOUL WAHAB TOURÉ
Master’s degree in software engineering – Université de Sherbrooke

Thesis/project
To be determined.

Project description
To come.

Started : 2018

Supervisors
Pr Luc Lavoie
Dr Jean-François Ethier


Internship Students

COMPUTING
Charles Beaudette
Mathieu Boucher
Tristen Bronson
Samuel Lapointe
Nathan Painchaud
Christophe Pigeon

LAW
Léa Champagne-Mercier
Jérémie Bernier

EPIDEMIOLOGY – PUBLIC HEALTH
Andrée-Anne Beaudoin
Élizabeth Cauvier-Charest