13th edition AI lunch meeting (TU/e internal)

Event Details

Monday October 7, 2019 from 12:00 PM to 1:30 PM
Het Kranenveld 12
Gaslab - Building 12

About the event

Many TU/e researchers are advancing or using Artificial Intelligence in their research projects. To support cross disciplinary learning and to strengthen the TU/e AI network, EAISI organizes a series of (internal) lunch meetings where various researchers talk about their projects.


12:00Johan Lukkien (Dean M&CS)Introduction
12:15Chris Snijders, Human Technology Interaction (IE&IS)Talking to a super model
12:35Josien Pluim, Medical Image Analysis (BME)AI in Medical Imaging
12:55Pieter Van Gorp (DSCE)TU/e involvement in BDVA networking and whitepapers
13:15 Wrap up


Chris Snijders
Predictive models are getting better and smarter, but often still have to relay their findings to humans. Given that models can be complex and might still make mistakes, a human's trust in the model's output is neither automatic nor straightforward. Our research focuses on ways in which we can better understand and improve the connection between model output and human receiver.

Josien Pluim
The presentation will focus on the general status of artificial intelligence in the field of medical imaging. Furthermore, it will cover research in this area by the Medical Image Analysis group of BME.

Pieter Van Gorp
TU/e has since many years a paid corporate membership in the Big Data Value Association (BDVA). The BDVA was launched in 2014 as a non-profit organisation with the aim to boost research, development and innovation and to foster a positive perception of Big Data Value. Members include the leading European Universities (and research institutes) but to a large extent also industrial players like Philips, IMEC, Siemens, Atos, IBM, Intel, Microsoft, etc. Within his presentation, our program manager of Health Data Science, Pieter Van Gorp, will provide an overview of the TU/e networking activities from the past years, especially with the aim to highlight also opportunities for others within TU/e (project officers and scientists). Pieter will also focus on the TU/e contributions to the BDVA whitepaper "AI in Healthcare", that will be published this autumn with the aim to influence the future European research calls.


Data Science

Data Science is an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. The successful and responsible application of these methods highly depends on a good understanding of the application domain, taking into account ethics, business models, and human behavior.