30. March 2023 | Press releases:

Inaugural lectures by Prof. Dr Tim Kacprowski, Prof. Dr-Ing. Martin Eisemann and Prof. Dr-Ing. Guillermo Payá Vayá Next Generation Data Science
Next Generation Computer Vision
Next Generation Hardware Architectures

Prof. Dr Tim Kacprowski, Peter L. Reichertz Institute for Medical Informatics, Prof. Dr.-Ing. Martin Eisemann, Institute for Computer Graphics, and Prof. Dr.-Ing. Guillermo Payá Vayá, Chair for Chip Design for Embedded Computing, Technische Universität Braunschweig, will hold their inaugural lectures on

Wednesday, April 5, 2023 at 5:00 p.m.,
Auditorium, Pockelsstr. 11, Haus der Wissenschaft, 38106 Braunschweig.

Inaugural Lecture “Next Generation Data Science”
by Prof. Dr Tim Kacprowski

Tim Kacprowski’s research focuses primarily on gaining insights from molecular data, so-called omics, and understanding the biological processes behind diseases. To this end, he uses methods from the fields of artificial intelligence and graph theory, among others. In his inaugural lecture, he will exemplify how biological networks (modelling molecular interactions as graphs) can help to gain robust and plausible insights that go beyond what is possible with network-free statistics.

About the person
Tim Kacprowski studied Bioinformatics at Saarland University. After graduating with honours in 2011, he worked briefly as a researcher at the Max Planck Institute for Computer Science before starting his doctorate at the University and University Hospital of Greifswald, where he worked on the analysis of high-throughput molecular data and the search for biomarkers for common diseases. The doctorate in 2017 was followed by a PostDoc stay at Syddansk Universitet in Odense, Denmark. From 2018 to 2020, Tim Kacprowski led the junior research group “Computational Systems Medicine” at the Chair of Experimental Bioinformatics at Technische Universität München. Since October 2020, he has been Professor of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics at TU Braunschweig and MHH. He is also a member of the Braunschweig Integrated Centre for Systems Biology (BRICS).

Inaugural Lecture “Next Generation Computer Vision”
by Prof. Dr-Ing. Martin Eisemann

Computer Vision is primarily concerned with teaching computers to see. However, modern applications in Computer Vision go far beyond this goal and blur the boundaries to related research areas such as Artificial Intelligence or Computer Graphics. In his inaugural lecture, Prof. Martin Eisemann will focus in particular on the human aspect of Computer Vision and how algorithms are developed not only by humans, but primarily for humans. This is illustrated by several case studies from Prof. Eisemann’s research.

About the person
Martin Eisemann has been Professor of Computer Vision at the Institute for Computer Graphics (ICG) at Technische Universität Braunschweig since 2020. From 2015 to 2020, he was Professor of Computer Graphics at TH Köln, where he headed the Advanced Media Institute. He has been a visiting researcher at various universities and research institutions, including the Max Planck Institute for Computer Science in Saarbrücken, the Expertise Center for Digital Media (EDM) in Hasselt, Belgium and TU Delft in the Netherlands. He studied Computational Visualistics at the University of Koblenz-Landau and received his Diploma in Computer Science there in 2006 and his doctorate from TU Braunschweig in 2011.
His research ranges from classic rendering techniques and data structures in computer vision and computer graphics, ray tracing and Monte Carlo simulations, (information) visualisations and visual analytics, virtual and augmented reality, as well as interaction techniques and metaphors for visual analytics, computer vision and computer graphics, and VR and AR.

Inaugural Lecture “Next Generation Hardware Architectures”
by Prof. Dr-Ing. Guillermo Payá Vayá

The research field of embedded computing systems has expanded in recent years to include a wide range of applications, from portable multimedia devices to distributed sensor networks and medical technology systems. Many of these applications require high computing power while at the same time increasing demands are being placed on the required installation space and energy efficiency. Together with the increasing need for programmability and flexibility to keep up with the rapid development and improvement of algorithms, these design constraints are creating new challenges in embedded systems research. To meet the above-mentioned design constraints, today’s development trends increasingly lead towards specialisation and adaptation of generic processor architectures to specific classes of target applications. The resulting processors are called application-specific instruction set processors (ASIP). Here, specialisation usually involves not only adding new complex instructions to the basic instruction set, but also implementing complex architectural mechanisms. These adaptations require the use of highly flexible compiler frameworks and new paradigms for parallel programming of embedded systems.
The inaugural lecture provides an insight into the research area of application-specific instruction set processors and their programming. Results from various research projects on embedded driver assistance systems and digital hearing aids will be used as a basis for discussing the trends.

About the person
Guillermo Payá Vayá received the degree of Diploma Engineer from the School of Telecommunications Engineering, Universidad Politécnica de Valencia, Spain, in 2001. From 2001 to 2004, he was a member of the Digital System Design research group, Universidad Politécnica de Valencia, where he worked on dedicated VLSI architectures for signal and image processing algorithms using pipelining, retiming and parallel data processing techniques. In 2004, he joined the Architecture and Systems Section at the Institute of Microelectronic Systems, Leibniz Universität Hannover, and received his Dr-Ing. degree in 2011. In April 2013, he became an assistant professor for application-specific instruction set processors and a member of the Cluster of Excellence Hearing4all at Leibniz Universität Hannover. Since April 2021, he has been Professor for Technical Computer Science at the Institute of Theoretical Computer Science at TU Braunschweig.
His research focuses on specialised processor architectures for embedded signal and image processing systems.

The inaugural lectures will be held in English.