Gibbons Lectures - Home Smart Home Event as iCalendar

11 May 2017


Venue: 260.092 (OGGB3), Level 0

Location: Owen G Glenn Building, 12 Grafton Road


Professor Hans Guesgen, Chair in Computer Science, School of Engineering & Advanced Technology, Massey University

One of the grand social challenges faced by developed countries 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 living in the home 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 from the University of Bonn, a doctorate in computer science from the University of Kaiserslautern, and a higher doctorate (Habilitation) in computer science from the University of Hamburg in Germany. He came to New Zealand in 1992 when he joined the University of Auckland's Department of Computer Science, before moving to Massey 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.

For more information on the Gibbons Lecture Series, click here.