THE FUTURE IS HERE

Panel discussion about AI in research

This is a panel discussion was hosted by PhD Student Council at the University of Skovde.
The event was sponsored by IPSI; an industrial research school.

How AI has changed the research landscape in the last few decades? Where is the current trend leading to? What it takes a graduate student to contribute to the field?

The main topics of the discussion are:

Get a brief historical perspective of the research landscape (in connection to AI) in different fields.
The scenario of the current research landscape, in view of funding, collaborations, and publications.
Current trend’s pros-cons.
For PhDs and young researchers, how to benefit, and what to be wary of?
This event will be held in a panel discussion format. It is intended to be less of a presentation or interview and more of a discourse between the panelists.

The panel consists of five researchers from the University of Skövde:

Peter Anderberg who is a professor in Health Sciences and leads several research projects with focus on development of technology and services for older people.
Amos H.C. Ng, a professor in Production and Automation Engineering. His current research interest lies in combining multi-disciplinary simulations and AI-based prescriptive analytics for supporting decision-making in manufacturing/service/health-care domains.
Jörgen Hansson, professor in informatics, who´s research areas include safety-critical systems, software architecture, and dependability aspects.
Nikolaos Kourentzes, professor in predictive analytics, researching various areas of time series modeling and business forecasting, using Artificial Intelligence, Econometrics, and Statistics.
Jane Synnergren, associate professor in bioinformatics. Jane´s research is focused on analysis methods for the identification of biomarkers and the integration of multiple types of omics data.
The evening will be moderated by Sara Y. Mahmoud, a Ph.D. student in Informatics at the University of Skövde. Sara works in artificial cognitive systems and intelligent vehicles and specializes in Deep Learning and Reinforcement Learning.