Robotics & Artificial Intelligence

Prof. Miyazaki, is a critical humanities scholar working on the theory, critique, and history of digital media, digitization, and computation as productive practice. He uses numerous social-critical, philosophical and technology-related theories of the last century (historical materialism, critical theory, poststructuralism, science and technology studies, media theory, media archaeology, postcolonialism, design studies). Currently, Prof. Miyazaki is working on the theory and history of alternative, non-profit, sustainable production practices that could be realized through other types of digitization. The focus is not only on social change, but also on technical-media change, which has no future without critical knowledge of technology.

Prof. Dr. Alan Akbik conducts research in the field of machine learning (ML) and natural language processing (NLP). His goal is to enable machines to capture, understand, and use natural language like a human.

To this end, he has developed one of the world's leading deep learning frameworks for NLP, which is already being used in over 1,000 research and industrial projects.

http://humboldt.gmbh/forschungskooperation

Our daily life more and more depends on computational systems embedded in common appliances. Just think of advanced driver assistance systems in cars, medical devices, or indsutrial supervisory control and data acquisition systems. Since such systems also realise safety-critical tasks, it is all the more important to provide effective and efficient quality assurance for them. The specification, verification and testing theory group researches methods for model-based development and model checking, logical verification, and automated testing of safety-critical software. Prog. Schlingloff is chief scientist of the system quality center at Fraunhofer FOKUS, Berlin, and chairman of the boards of GFaI e.V. and ZeSys e.V.

The research of Prof. Leser and his group is focused on all aspects of management, integration and analysis of heterogeneous, large and distributed data sets including natural language texts (text-mining and information extraction). This encompasses subjects such as data warehouses and ETL, graph databases, deep web and semantic web, machine learning, similarity search, scientific workflows, statistical methods of data analysis as well as methods for assessing and securing data quality. The team of Professor Leser conducts research in a variety of interdisciplinary projects, especially with colleagues from the life sciences covering the range from basic molecular biology to Systems Medicine.

http://humboldt.gmbh/forschungskooperation

Research at the chair of Wireless Broadband Communication systems within the computer engineering group focuses on communication systems for ultra-high data rates. Professor Eckhard Grass and his research group develop and investigate systems operating at ultra-high frequencies and research techniques and methods to improve the efficiency and reliability of wireless communication. The main reserach and developement focus is physical layers (PHY) and MAC layers.

Biosystems engineering works at the interface between engineering and biological production processes. Prof. Schmidt and his team develop engineering solutions for a sustainable agricultural production of crops and other environmental friendly technologies. Prof. Schmidt’s research thus leads to innovative plant farming methods in greenhouses, outdoors and other intensive crop farming systems. Alternative energy supply systems (low energy greenhouses) and closed material cycles for intensive crop farming (water hygiene, sensor systems and algorithms for fully automated nutrient solution supply in closed cycles) are Prof. Schmidt’s research area. His main activity herein is the development of sensors for gas analyses, climate measurement technology and that of software supporting decision making in automation systems. Moreover, the team also provides energetic assessments in complete production systems and parts thereof as well as process analyses.

Prof. Haerdle’s main research interests are quantitative finance, esp. multivariate methods in banking and finance, dimension reduction techniques, and computational statistics. In his roles both as coordinator of the Collaborative Research Center “Economic Risk” (CRC 649) and director of the interdisciplinary Center for Applied Statistics and Economics (C.A.S.E.) he primarily investigates economic risks on a global scale. Prof. Haerdle’s research aims at facilitating the evaluation of such risks and to reduce uncertainty to improve economic actors’ decision-making.
Prof. Haerdle is Distinguished Visiting Professor Wang Yanan Institute for Studies in Economics (WISE) at Xiamen University, China, as well as director of the International Research Training Group “High Dimensional Non Stationary Time Series” (ITRG 1792). Among other distinctions he received the “Econometric Theory Multa Scripsit Award” in 2012.