Inaugural Lecture by Christian Riess
On Monday, November 15 2021 at 16:30h, Christian Riess will give his inaugural lecture with the title “Signal Processing and Machine Learning for Security Applications”.
The lecture is broadcast via zoom.
Meeting ID: 611 8810 9922
Title: Signal Processing and Machine Learning for Security Applications
Abstract: Consumer-grade cameras and sensors became widely available and very affordable. For example, smartphones make it possible to instantaneously capture images, videos, or GPS tracks, and to distribute them in chat groups or on social media sites. These possibilities greatly enhanced the possibilities to document personal experiences. In a security context, such recordings can become relevant for evidentiary use in court or as investigative clues for the police or in open source investigations. To this end, it is on one hand important to ensure authenticity and origin of the data. On the other hand, the information of interest may not directly be available, but instead it may be necessary to computationally extract it. Both tasks can be addressed with tools from signal processing and machine learning. This talk will present selected algorithmic results from our research, and provide an outlook to future challenges.
Bio: Christian Riess received the Ph.D. degree in computer science from the Friedrich-Alexander University Erlangen-Nürnberg (FAU) in 2012. From 2013 to 2015, he was a Postdoc at the Radiological Sciences Laboratory, Stanford University, Stanford, CA, USA. From 2015 to 2021, he lead the Phase-Contrast X-ray Group at the Pattern Recognition Laboratory at FAU. Since 2016, he is the head of the Multimedia Security Group at the IT Infrastructures Lab at FAU. He received his habilitation from FAU in 2020.
Christian served on the IEEE Information Forensics and Security Technical Committee 2017-2019, and in the EURASIP TAC Signal and Data Analytics for Machine Learning from 2021 to 2023. He served in the organization committees of several conference and workshops, in particular as General Chair of the 2020 ACM Workshop on Information Hiding & Multimedia Security. He received the prestigious IEEE Signal Processing Award in 2017. Christian’s research interests include all aspects of signal processing and machine learning, particularly with applications in image and video forensics, X-ray phase contrast, and computer vision.