CS Colloquium Series @ UCY
Department of Computer Science - University of Cyprus
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Colloquium Coordinator: Demetris Zeinalipour
Colloquium: Artificial Intelligence Research for Real World Challenges, Prof. Grigoris Antoniou (University of Huddersfield, UK), Tuesday, November 26, 2019, 11:00-12:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Artificial Intelligence Research for Real World Challenges
 |
Speaker: Prof. Grigoris Antoniou |
Abstract:
Data originating from the Web, sensor networks and social media result in
increasingly huge datasets. The so called Big Data creates new opportunities
for advanced applications in domains ranging from smart cities to
intelligent healthcare, hence the increasing interest in academia and
industry. Usually Big Data is associated with machine learning/data mining.
This talk will argue that semantic and knowledge technologies have an
important role to play. Traditionally, reasoning approaches have mostly
focused on complex knowledge structures/programs and centralized in-memory
data, so the question arises whether and how they can be adapted to scale
sufficiently to meet the Big Data challenges. A number of open research
challenges in the area will be discussed, as well as possible applications
in the legal domain.
Then we will turn our attention to the area of mental health, a key
healthcare challenge in worldwide. We will present results around applying
machine learning to two specific areas of mental health: assessment of
suicide risk, and diagnosis of ADHD in adults. In close collaboration with
domain experts, relevant clinical data was analysed to develop predictive
models. In contrast to most works of applying AI to healthcare (a) we relied
on clinical data currently collected, so as not to increase the burden on
healthcare systems; (b) we developed locally adapted models as clinical
decision making may be different in London, Brisbane or Nicosia in view of
geographical, social and cultural differences. Issues around explainability
will also be discussed.
Short Bio:
Grigoris Antoniou is Professor of Computer Science at the University of
Huddersfield, UK. Previously he has held professorial appointments at the
University of Crete (where he was also Head of the Information Systems
Laboratory at FORTH-ICS, the top-rated research institute in Greece),
Griffith University, Australia, and the University of Bremen, Germany. His
research interests lie in semantic technologies, particularly knowledge
representation and reasoning and semantics for big data, and its application
to ambient intelligence, e-health, and transportation. He has published over
200 technical papers in scientific journals and conferences. He is author of
three books with international publishers (MIT Press, Addison-Wesley); his
book "A Semantic Web Primer" is internationally the standard textbook in the
area, and has been translated to Japanese, Chinese, Korean, Spanish and
Greek. His research has attracted over 10.000 citations. He is member of
editorial boards of journals including Artificial Intelligence Journal, has
organised a number of conferences and workshops (including leadership
positions at ESWC 2010 and 2011), and has served in numerous programme
committees. He has led a number of national and international research
projects, and has participated in many more. He is Fellow of the European
Association for Artificial Intelligence.
Note:
Recording: This presentation will be available after the talk through the "Multimedia file" URL below.
Multimedia File Available:
Multimedia File
