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Dr.
Associate professor
Faculty of Social Sciences
School of Psychology

Contact information:

Office: 613-562-5800 (4419)
E-mail: sylvain.chartier@uottawa.ca
Website

Preferred method s of contact:

E-mail, Office Telephone

Research information:

I am interested in developing models of cognition using artificial neural networks.

Area(s) of expertise:

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• Artificial intelligence
• Biomedical engineering
• Chaos theory
• Cognition
• Dynamical systems
• Machine learning
• Research methods
• Statistics
• Statistics

Language preference:

English and French

Canada Research Chair in Information and Performance Management
Assistant professor
Telfer School of Management

Contact information:

E-mail: jcorbo@uOttawa.ca

Preferred method of contact:

E-mail

Research information:

Advances in information and computing technology, the proliferation of online social networks and ever-lowering costs to store massive amounts of data are drastically changing how we socialize, work and shop by dramatically improving our ability to capture, analyze and communicate large amounts of data about these activities. New technologies and the data trail they foster represent an unprecedented opportunity for people to make more informed choices, for businesses to organize work more effectively and for brands to better target consumers.

As Canada Research Chair in Information and Performance Management, Dr. Jacomo Corbo’s research centers on how the structure, evolution and behaviour of massive social and information networks can be regulated and improved.

Corbo's research focuses on measuring, modelling and managing the impact of large-scale social networks on consumer demand, knowledge worker productivity, organizational performance and firm competitiveness.

He also studies how firms deal with the growing torrent of data potentially available to them and what the economic returns are to data and information technology investments.

This research will improve our fundamental understanding of what makes knowledge workers productive, what makes data and information technology economically valuable and how information networks should be designed and managed to promote better-informed consumers and more competitive firms.

Area(s) of expertise:

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• Computer science
• Data mining
• Decision analysis
• Machine learning
• Management
• Management information systems
• Statistics

Language preference:

English and French , Italien / Italian

Associate professor
Faculty of Engineering
School of Electrical Engineering and Computer Science

Contact information:

Office: 613-562-5800 (2501)
E-mail: wslee@uOttawa.ca
Website

Preferred method of contact:

E-mail

Research information:

Computer Animation, Virtual Reality in Health Care, Music Analysis, Face Recognition, Human-Computer Interaction, Computer Graphics, Computer Vision

Area(s) of expertise:

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• Biometrics
• Computer engineering
• Computer science
• Image processing
• Machine learning

Language preference:

English and French

Full professor
Faculty of Engineering
School of Electrical Engineering and Computer Science

Contact information:

Office: 613-562-5800 (6679)
E-mail: stan@site.uOttawa.ca
Website

Preferred method of contact:

Office Telephone

Research information:

Data mining, text mining, data privacy, artificial intelligence, machine learning, internet, data security.

Other area of expertise: Privacy

Area(s) of expertise:

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• Computer science
• Internet
• Machine learning

Language preference:

English and French