[Compstats] [Fwd: Talk and grad interview with faculty candidate Jesse Hoey (Health informatics)]

Pascal Poupart ppoupart at cs.uwaterloo.ca
Mon Jan 18 08:55:48 EST 2010


Although this is a health informatics talk, Jesse Hoey does a lot of 
work in AI, including vision and machine learning.  I highly encourage 
everyone to attend his talk today at 10:30am (see below).  I also 
encourage everyone to meet with him on Tuesday at 3pm (see below).  He 
is a great guy to talk to and very knowledgeable about many things from 
physics, to computer vision, Markov decision processes and Alzheimer's 


-------- Original Message --------
Subject: 	Talk and grad interview with faculty candidate Jesse Hoey 
(Health informatics)
Date: 	Fri, 15 Jan 2010 14:42:26 -0500
From: 	Alejandro Salinger <ajsaling at cs.uwaterloo.ca>
To: 	cs-grads at lists.uwaterloo.ca, Pascal Poupart 
<ppoupart at cs.uwaterloo.ca>, "J.W. Wong" <jwwong at uwaterloo.ca>, Suzana 
Pinto <s2pinto at cs.uwaterloo.ca>


Jesse Hoey is a candidate for the faculty position in Health 
Informatics, and has been invited to interview next week. Since our 
opinion as grad students in this matter is important, an interview with 
grad students has been scheduled for *Tuesday, January 19th, from 3:00 
to 4:00 pm in DC2314* (refreshments will be served).

The hiring committee is interested in knowing your opinion about the 
candidate, especially if your area of research is close to his.

In addition, I encourage you to attend the talk he will give on *Monday 
January 18th, at 10:30 am in DC1304* (see abstract below).

More information about Jesse can be found on his web page: 

I hope to see you there.

Alejandro Salinger
(Graduate student representative for SACA)

Speaker: Jesse Hoey, School of Computing, University of Dundee, Scotland


People, Sensors, Decisions: Customizable and Adaptive Technologies for 


The ratio of healthcare professionals to care recipients is dropping at 
an alarming rate, particularly for the older population. Further, 
patients are becoming more aware and involved in their own health care 
decisions. This is creating a void in which technology has an 
increasingly important role to play as a tool to connect providers with 
recipients. Examples range from telecare for remote regions to computer 
games promoting fitness in the home. Currently, such technologies are 
developed for specific applications, and are difficult to modify to suit 
individual user needs. The future potential economic and social impact 
of technology in the health care field therefore lies in our ability to 
make devices that are customizable by healthcare professionals and their 
clients, that are adaptive to users over time, and that generalize 
across tasks and environments.  In this talk, I will describe my 
research addressing these three requirements, thereby increasing uptake 
by users and long-term efficiency and robustness of healthcare 
technology.  I will present a general approach, followed by detailed 
descriptions of four ongoing projects that use this approach to build 
assistive technologies for persons with cognitive or physical 
disabilities: a device to help persons with dementia to wash their 
hands, a customizable tool for art therapists to engage clients in 
visual artwork, a haptic robotic system for upper-arm rehabilitation 
after stroke, and a prototype system to automatically build and tailor 
situated prompting systems for individuals based on minimal data.  I 
will give an overview of current open problems and related projects.  I 
will close with a discussion of the longer-term directions I foresee for 
this area of research.

Pascal Poupart
Associate Professor
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Waterloo, Ontario
Canada N2L 3G1
Web: http://www.cs.uwaterloo.ca/~ppoupart
Email: ppoupart at cs.uwaterloo.ca 
Telephone: 1-519-888-4567x36239 
Fax: 1-519-885-1208

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