Professors
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Marcus Baum is Full Professor of Computer Science at the University of Göttingen, Germany, since 2019. He received the diploma degree in 2007 and the Ph.D. degree (Dr.-Ing.) in 2013, both in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany. In 2013 and 2014, he was Postdoctoral Fellow and Assistant Research Professor at the University of Connecticut, CT, USA. From 2015 to 2019, Marcus Baum was Junior Professor at the University of Göttingen, Germany, and he was Interim Professor (Vertretungsprofessor) at the University of Passau, Germany, for three semesters from 2017 to 2019.
After completing his studies in electrical engineering at the Technical University of Braunschweig, Jörg Fischer worked for three years as a development engineer at Lenze Automation GmbH in Braunschweig in the field of controlling electrical drives. From 2011 to 2014 he was a research assistant at ISAS and received his doctorate in July 2014 on the topic of stochastic optimum control of digitally networked systems. After 1.5 years as a postdoctoral researcher at the Chair of Systems Theory, Control Engineering and Optimization at the University of Freiburg, Fischer was appointed Professor of Control Engineering and Automation Engineering at the University of Applied Sciences Offenburg in 2017.
Marc Deisenroth is a Senior Lecturer (equivalent to an Associate Professor in the US) in Statistical Machine Learning at the Department of Computing, Imperial College London. Since September 2016, he has also been an advisor to PROWLER.io, a Cambridge-based startup. His research interests center around data-efficient and autonomous machine learning. He was Program Chair of EWRL 2012, Workshops Chair of RSS 2013 and received Best Paper Awards at ICRA 2014 and ICCAS 2016. In 2018, he has been awarded The President's Award for Outstanding Early Career Researcher. He is a recipient of a Google Faculty Research Award and a Microsoft PhD Scholarship. He is a co-leader of the Machine Learning Initiative at Imperial, the AI@Imperial Network of Excellence and the Director of the Machine Learning Lab in Imperial's Data Science Institute. He co-organized the Machine Learning Summer School 2019 in London with Arthur Gretton. In 2018, he spent half a sabbatical at the African Institute for Mathematical Sciences (Rwanda), where he taught a course on Foundations of Machine Learning as part of the African Master's in Machine Intelligence.
Marco Huber studied Computer Science at the University of Karlsruhe, now Karlsruhe Institute of Technology (KIT), and subsequently became a research assistant and doctoral candidat at ISAS. After his graduation on "Probabilistic Framework for Sensor Management", he headed the research group Variable Image Acquisition and Processing at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB in Karlsruhe. After that, he worked as Senior Researcher at AGT International in Darmstadt until 2015. At the same time, he habilitated on the topic of "Nonlinear Gaussian Filtering: Theory, Algorithms, and Applications" at KIT, and received the Venia Legendi in the field of computer science in January 2015. From April 2015 to September 2018, Marco Huber was responsible for product development and data science services in the Katana division at USU Software AG in Karlsruhe. At that time, he also taught as a private lecturer for computer science at KIT. Since October 2018, he has held the professorship for cognitive production systems at the University of Stuttgart, and is also head of the Center for Cyber Cognitive Intelligence (CCI) at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. His research focuses on machine learning, sensor data analysis and robotics in the production environment.
Company Foundation
  Name  

Knowtion was founded in 2011 as an engineering and software service provider based in Karlsruhe and specializes in sensor fusion and automatic data analysis. The company develops powerful algorithms for its customers in complex and mathematical challenges. Based on verified and validated algorithms, individual software solutions are developed, from embedded software to scalable server architectures, based on different platforms, development environments, technologies and standards. These can be individual software modules or entire software products. Many years of expertise and scientific excellence mean that Knowtion can develop and provide customized solutions in the form of algorithms and software tools in a very short time. 

The three founders of Knowtion, Frederik Beutler, Vesa Klumpp and Felix Sawo, met each other as research assistants at ISAS, where they conducted research in the areas of state estimation, sensor fusion, localization, model identification and automatic data analysis. Prior to this, Frederik Beutler studied electrical engineering and information technology at the University of Kaiserslautern, Vesa Klumpp studied computer science at the University of Karlsruhe (TH) and Felix Sawo mechatronics at the Technical University of Ilmenau.

More information:

https://www.knowtion.de

Industry
  Name  
PhD Selim Özgen has currently joined the sensor fusion team at Hyundai MOBIS Technical Center Europa. Before joining MOBIS, he was working as a postdoctoral researcher at the Chair of Intelligent Sensor-Actuator-Systems, Karlsruhe Institute of Technology. He is holding a PhD degree from Electrical and Electronics Engineering, Middle East Technical University, Ankara. This work was acknowledged with the Best Paper Award at the Joint German/Austrian Conference on Artificial Intelligence.
After studying electrical engineering and information technology at KIT, Maxim Dolgov obtained his doctorate under Prof. U. D. Hanebeck at the Chair of Intelligent Sensor-Actuator Systems (ISAS). Since February 2017, Maxim Dolgov has been working as a research engineer on automated driving at the research campus of Robert Bosch GmbH, where he is working on reinforcement learning, behavior and motion planning, and networked automated driving.
Igor Gilitschenski is currently a Senior Postdoctoral Associate within the Computer Science and Artificial Intelligence Lab at MIT. Together with Sertac Karaman and Daniela Rus, he is responsible for leading the autonomous driving research efforts within Daniela Rus's Distributed Robotics Lab. Between completing his PhD at ISAS and his current position, Igor was affiliated with the Autonomous Systems Lab of ETH Zurich working with Roland Siegwart on robotic perception, particularly localization and mapping. Two of the projects he was involved in resulted in startups, and his works received best paper awards at the International Conference on Information Fusion and the American Control Conference.
Marc Reinhardt joined the high-frequency trading (HFT) business of IMC Financial Markets in 2015 as a Quantitative Trader. After operationally trading derivatives on European indices such as AEX, SMI and ESX with automated execution systems, he shifted his focus on researching and developing volatility valuation and trading algorithms. His work significantly contributed to the success of new strategies that generate trading profits on the back of automated quantitative data analysis. He's a certified trader for multiple electronic exchanges such as Eurex, ICE, and CME and serves as trainer for new hires.
Antonia Pérez studied electrical engineering with focus on automation and control engineering at the Polytechnic University of Madrid (span. Universidad Politécnica de Madrid, UPM) and at the Technical University of Berlin (TUB). At ISAS she wrote her doctoral thesis on Haptic Guidance for Extended Range Telepresence. Since October 2012 she is Senior Engineer at ITK Engineering GmbH in the Cybernetics team, where she is working on model-based software development and validation of control procedures - among others for electric drives, driver assistance systems and robot systems.
After his studies of electrical engineering and information technology at the University of Karsruhe (now KIT), Florian Weißel was a research assistant at ISAS. In 2008 he graduated on the topic Stochastic Model-Predictive Control of Nonlinear Systems. After that he worked at Robert Bosch GmbH, first as a project manager for the development of inertial sensors and finally as team and group leader for the development of inertial sensors.
Patrick Rößler studied computer science at the University of Karlsruhe (now KIT) and subsequently joined ISAS as a research assistant (2003-2006). Since 2007, he has been working at the Stryker company in Freiburg on concept development for computer- and robot-assisted surgery.
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