I’m an AI researcher with special interest in solving computer vision problems using machine learning.
My first contact with computer vision was in 2007, at the University of Mannheim where I implemented a panoramic image-stitching algorithm. Already interested in multimedia analysis and artificial intelligence, I completed my master’s degree in 2013 at the TU Kaiserslautern while working as a research assistant at the German Research Centre for Artificial Intelligence (DFKI in German), where I continued my research career. During the last 5 years working there, I’ve applied and developed traditional methods of computer vision for several image processing problems, such as the retrieval of similar images based on content, and a vehicle tracking system (patent nr US9449258B1). In the age of deep learning, I’ve used convolutional neural networks for sentiment analysis using adjective-noun pairs. More recently, I’ve been interested in more fundamental research about Neural Networks, in particular, the definition of a framework for interpretability of image classifiers. During 2017, I was a visiting researcher at the International Institute of Computer Science (ICSI) in Berkeley, California under the supervision of Dr. Stella Yu. Furthermore, I’ve designed a course on deep learning with which I regularly trained teams of data-scientists for consulting firms and the automotive industry.