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11 May 2017

6:30pm

Venue: 260.092 (OGGB3), Level 0

Location: Please join us for refreshments from 6pm at Level 1 of Owen G Glenn Building, 12 Grafton Road.

Host: Department of Computer Science

Cost: Free - all welcome

Website: www.cs.auckland.ac.nz/gibbons-lectures

Professor Hans Guesgen
Professor Hans Guesgen

Speaker: Professor Hans Guesgen, Chair in Computer Science, School of Engineering and Advanced Technology, Massey University

 

One of the grand social challenges that developed countries are facing in the 21st century is the problem of an ageing population. This holds in particular for countries with small populations like New Zealand.

People expect to live longer than ever before, and they expect that this increased longevity will be enjoyed living an independent, high quality lifestyle in their own homes. Unfortunately this expectation is not always met. Diminished mental capabilities, caused by age or diseases such as Alzheimer’s or Parkinson’s, often require supervision of some sort – a demand society finds more and more difficult to satisfy. Artificial intelligence offers a solution to this problem. It can provide methods that will eventually be used in a smart home as a cognitive prosthesis for the elderly by detecting abnormal, potentially harmful behaviour and alerting a carer if a critical situation arises. This talk will provide an insight into some of these methods and discusses their strengths and shortcomings.

 

Hans Guesgen is Professor of Computer Science at Massey University. He holds a diploma in Computer Science at the University of Bonn, a doctorate in Computer Science at the University of Kaiserslautern, and a higher doctorate (Habilitation) in Computer Science at the University of Hamburg, Germany. He came to New Zealand in 1992 to the University of Auckland’s Department of Computer Science where he became an Associate Professor, before moving on to Massey University in 2007. His list of publications includes three books, various special issues of journals, and over 100 refereed publications in journals, conference proceedings, and workshop notes.

His main research interests are in the areas of smart environments, ambient computing and intelligence, knowledge representation and inference, constraint satisfaction, and spatio-temporal reasoning. In the area of smart environments he is working to develop an ubiquitous computer system that can perceive people in their environment, recognise and interpret their behaviour, and act intelligently to support them in their activities, such as ensuring safety or compensating for impairment.

 

Drinks and nibbles will be served from 6pm on Level 1 of the Owen G Glenn building. Lecture commences at 6.30pm. Live streaming will also be available.

Find out more information about the Gibbons Lecture Series.

 

 

If you cannot attend the lecture, you can watch it live on Thursday 11 May from 6.30pm at the link below: