Machine Learning

Profilbild Jan Mendling
Philipp Simonis
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Process Management and Information Systems

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Expertise

Mendling's research focuses on the question how business processes can be efficiently and effectively supported by information systems. To this end, Mendling and his team address questions of the information technology as well as of managerial questions.

Within the framework of business process management they developed a series of technical solutions for process mining and also management tools like the BPM Billboard.

The expertise of Mendling and his team is summarized in the seminal textbook "Fundamentals of Business Process Management", which is used by over 250 universities in 70 countries.

Scientific Services
  • cooperation with businesses from different branches
  • design of training concepts for process management
  • performance of training courses and projects for process improvement
  • development of new analysis software for business processes
Testimonials

In the context of his projects, Mendling worked together with many medium-sized companies and DAX-companies from different branches. 

Continuing Education

LL.M. Digitalization and Tax Law

 

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Profilbild Patrick Hostert
Faculty of Mathematics and Natural Sciences
Department of Geography

Geomatics

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Expertise

Prof. Hostert’s explores cutting-edge satellite data analysis. His main focus lies on questions regarding the global change, particularly large-scale mapping in agrarian- and forestry systems and near-nature ecological systems worldwide. He analyses the change of the earth’s surface through different methods, for example with machine learning, big data, time series analyses, hyperspectral and multisensor approaches, as well as multiscale analyses. Regional expertise of the team covers Germany, the mediterranean areas and South America, as well as Central Asia.

Scientific Services
  • satellite data analysis
  • AI in remote sensing
Testimonials
  • large-scale remote sensing analysis with big data approaches (particularly Sentinel-2, Landsat), funded through projects of the BMWi, BMBF, BMEL, as well as the EU
  • scientific monitoring of satellite missions (Landsat Science Team, EnMAP ScientificAdvisory Group)
  • satellite based mapping and land use analysis for NGOs, authorities and global tech- and logistics companies
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Profilbild Härdle
Faculty of Economics and Business Administration
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Expertise

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.

Scientific Services
  • multivariate statistical analysis (factor analysis, cluster Analysis, etc.)
  • portfolio optimisation
  • risk management
  • hedging
  • pricing derivatives
  • functional data analysis
  • non- and semi-parametric methods
  • data visualisation
Testimonials
  • Ongoing cooperation with and lecturing for leading international financial institutions
  • Center for Applied Statistics and Economics (C.A.S.E.): interdisciplinary research centre with the goal to analyze and solve current complex economic problems and those arising in related fields with the help of quantitative methods and computing. Its research subjects range from weather risk, aging societies, crime to property markets
  • Collaborative Research Center “Economic Risk” (CRC 649): center of transdisciplinary research where insights from economics, mathematics and statistics converge to analyze economic risks and risk factors. The CRC offers an international platform for discussion of the latest research results and collaborations
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