Research Projects
Artificial Neural Networks and Kernel Methods
Evolutionary Algorithms
Autonomous Mobile Robots
Bioinformatics
Artificial Neural Networks and Kernel Methods
 | Java Neural Network Simulator (JavaNNS) - The successor of SNNSwith SNNS kernel and Java user interface. Available for Windows, Linux, Mac and Solaris. (currently not further developed) |
 | Kernel Based ADME Prediction - Prediction of ADME properties ofmolecular compounds to validate their suitability as potential drugs (A. Jahn, L. Rosenbaum). |
 | MoFlex - Molecular flexibility encodings for Virtual Screening and kernel-based machine learning (A. Jahn, L. Rosenbaum) |
 | Data Mining on Chemical Compounds - Graph decomposition, large scale learning, and kernels for chemical compounds (L. Rosenbaum, A. Jahn) |
 | Engine State Prediction - Engine State Prediction based on In-Cylinder Pressure Curves (P. Komma) |
Evolutionary Algorithms
 | EvA2- a comprehensive Evolutionary Algorithms library: Hill-Climber,Simulated Annealing, Genetic Algorithms, PBIL, Evolution Strategies,Genetic Programming, Grammatical Evolution, Model-Assisted ES, Multi-Objective ES (H. Planatscher, M. Kronfeld). |
 | Optimisation in Dynamic Environments - Many interesting real-worldproblems are not static but change over time. In this project we useEvA2 to develop and test new optimisation approaches for dynamic target functions (M. Kronfeld). |
 | Soft Computing in GeoScience - soft computing methods forefficient parameter identification in geological models; optimaldecision making for problems in geoscience, like irrigation schedulingand well placement in dynamic, multi modal, stochastic, high dimensional environments (M.Beck, M. de Paly). |
Autonomous Mobile Robots
 | SICK Robot Day |
 | Multiple Robot Systems - Formation Control - Formation control is an important technique to achieve cooperative behavior in multi-robot systems. The task is to control a group of mobile robots to follow a predefined path or trajectory, while maintaining a desired formation pattern (K. Kanjanawanishkul). |
 | Ambient sensors for mobile robot navigation - We investigate how RFID (radio frequency identification) technology can be used for continuous inventory and self-localization by a mobile robot which is equipped with an RFID reader (P. Vorst, A. Koch, K. Bohlmann). This research is conducted in the scope of the project AmbiSense funded by the Baden-Württemberg Stiftung. |
 | Autonomous Flying Robots - Lowcost and lightweight mapping and localization in three dimensions. Our onboard solutions deal with limited payload capacity and little processing power but allow visual indoor flights and carrier tracking. (K. E. Wenzel, A. Masselli, S. Scherer) |
 | Cooperative Robot Teams in Outdoor Environments - We research methods how a team of mobile robots can execute tasks like exploration and mapping in outdoor environments, e.g. in meadows and fields. (K.Bohlmann, D.Dube, Y.Khan) |
 | Outdoor Robot - Sensor fusion, terrain classification and terrain mapping with a mobile outdoor robot (K. Bohlmann). |
 | Terrain Classification - Robust Terrain classification and terrain mapping under varying light conditions with a mobile outdoor robot (Y. Khan). |
 | Heterogeneous Mobile Robots - Cooperative behaviour of mobile heterogeneous robot-teams (M. Hofmeister). |
 | Small Mobile Robots - Vision-based self-localization and formation control (K. Kanjanawanishkul, M. Hofmeister). |
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Agricultural Robotics - In this growing and seminal field we focus our research on navigation and object detection in outdoor environments.
(S. Laible) |
Bioinformatics
 | NGFNplus - The main topics of the NGFNplus founded project "Functional Genomics of Parkinson's Disease" are the identification of new Parkinson genes and biomarkers as well as the comprehension of PD-related pathways. The development of analytical methods and the inference of putative regulatory networks are in the center of interest in the core facility bioinformatics (F. Büchel, A. Dräger, F. Mittag). |
 | HepatoSys- The focus of the BMBF funded network is the quantitative model-basedunderstanding of the dynamic cellular processes involved inendocytosis, detoxification and regeneration of hepatocytes. We arepart of the detoxification network and focus on the modelling andsimulation of large gene regulatory networks of hepatocytes (A. Schröder, A. Dräger). |
 | VirtualLiver- Subject of this BMBF funded project is to explore the physiology and functionality of the liver at different scales (cellular, intercellular, lobular and organ level) with the integration of these scales as an aim. Detoxification as a major task plays thereby an important role (A. Schröder). |
 | ModuleMaster- Searching cis-regulatory modules by integratingpromoter analysis and multivariate regression on microarray expressiondata with a multiobjective evolutionary algorithm. (C. Wrzodek, A. Schröder). |
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Optimizing Metabolic Pathways - Reconstruction and Modeling of kinetic dependencies in metabolic pathways of E. coli and
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| Identification of biomarkers for type 2 diabetes from mass spectrometry data using machine learning learning approaches. Mathematical modelling and classification, based on "differentially expressed" mass-profiles of individuals, who are at high risk to develop type 2 Diabetes mellitus. (H. Franken) |
| Spher4Sys: A Systems biology based approach for preclinical lead compound development using an in-vivo like spheroid test system. The main goal of this BMBF funded project is to select promising leads for colon cancer therapy, not merely based on single target proteins, but rather the complex cancer phenotype which can be profiled by Reverse Phase Protein arrays. (J. Eichner) |
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MARCAR:
bioMARkers and molecular tumor classification for non-genotoxic CARcinogenesis. The main objective of this EU-IMI funded project is merging new genetic and epigenetic data with the latest methods and technology to find new biomarkers for non-genotoxic carcinogenesis. (C. Wrzodek) |
| Inference of biochemical reaction systems considering physico-chemical constraints |