Mon 16 Aug and Fri 20 Aug
Entrepreneurship workshop – Learning entrepreneurial competences by Prof. Paula Kyrö. Please click here for the web page of the workshop
Tue 17 Aug - Thu 19 Aug
Problem solving workshop Please click here for the web page of the workshop
Wed 18 Aug
Professor Axel Voigt, Dresden University of Technology: Phase field crystal methods in soft and condensed matter physics
We consider a local approximation to classical dynamic density functional theory, so called phase field crystal methods, to model particle interactions on diffusive time scales. After a model derivation, we introduce a numerical approach based on finite element discretizations and discuss various applications. Among them are equilibrium crystal shapes, nucleation barriers and elastic and plastic interactions, as well as interaction particles in flowing solvents and nanoparticles on fluid-fluid interfaces, so called bijels.
Thu 19 Aug
Claudia Sannelli, TU Berlin, Brain-Computer Interface Group: Machine Learning for Brain-Computer Interfacing
Brain-Computer Interfaces (BCIs) use brain activity to establish a direct communication channel from a person to a computer system, e.g., for clinical as well as mental state reading applications and for games. The machine learning (ML) techniques allow to extract relevant features, to estimate unknown probability distributions from empirical data and to generalize the learnt properties to new unseen data. ML approach to BCI utilizes newly developed algorithms which learn subject-specific parameters and adapt automatically to the user's brain signals, which can be then classified in real-time. Together with the suitable signal processing, ML techniques demonstrated to be a powerful tool to deal with the wealth, the complexity and the noise of neuroelectric activity. In this talk, an overview of ML and signal processing techniques for BCI is given. Applications using electroencephalogram (EEG) based BCI are shown.
Fri 20 Aug
Jeroen de Ridder, Delft University of Technology: Elucidating the wiring diagram of a cancer cell
Molecular biology has revolutionized the way in which we study the causes, mechanisms and potential cures for cancer. Although it has resulted in a
solution to at least a decent part of the cancer puzzle, a humbling number of puzzle pieces are still waiting to be put into place.
In this talk we will focus on how computational analysis of mouse mutagenesis data can contribute to solving the puzzle more completely. In
particular, we concentrate on viral mutagenesis data, that contains measurements of the genomic locations of virally induced DNA damage. We
analyze these data using kernel convolution methods, identifying novel cancer genes and interactions among cancer genes. Finally, we explore how
Boolean association models give insight in which pathways play a role in cancer.
Professor Anton Nijholt, University of Twente, The Netherlands: On multimodal interaction
Abstract. We survey ways to extract information from users interacting in ambient intelligence environments. Hence, we look at human-human interaction, and at human-computer/environment interaction. In particular we take into account nonverbal cues (social signals) during this interaction. This research is useful for applications in future home, office and public space environments. In this talk, however, we will also look at future entertainment and game environments. We speculate on the use of this information - including information obtained from physiological processes and brain-computer interfacing - in future home, game, entertainment, and exercise environments.