Research Projects

Artificial Neural Networks
Evolutionary Algorithms
Autonomous Mobile Robots
Applications of Bio- and Cheminformatics

Terminated projects (separate page).


Artificial Neural Networks

JavaNNS Java Neural Network Simulator (JavaNNS) - The successor of SNNS with SNNS kernel and Java user interface. Available for Windows, Linux, Mac and Solaris. (currently not further developed)

Evolutionary Algorithms

JavaEvA 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 Optimisation in Dynamic Environments - Many interesting real-world problems are not static but change over time. In this project we use EvA2 to develop and test new optimisation approaches for dynamic target functions (M. Kronfeld).
Soft Computing in GeoScience Soft Computing in GeoScience - soft computing methods for efficient parameter identification in geological models; optimal decision making for problems in geoscience, like irrigation scheduling and well placement in dynamic, multi modal, stochastic, high dimensional environments (M. de Paly).

Autonomous Mobile Robots

Mobile Roboter 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).
AmbiSense 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, K. Bohlmann). This research is conducted in the scope of the project AmbiSense funded by the Landesstiftung Baden-Württemberg.
Autonomous Flying Robots - Leightweight solutions for mapping and localization in three dimensions (K.E. Wenzel, S. Erhard)
Vision-based Robot Localization using Invariant Features - The application of different vision-based feature extraction approaches to the localization of mobile robots is investigated (P. Komma, S. Erhard).   
Mobile Heterogeneous Robots - Cooperative Behaviour of Mobile Heterogeneous Robot-Teams (M.Hofmeister).
Outdoor Robot Outdoor Robot - Sensor fusion, terrain classification and terrain mapping with a mobile outdoor robot (K. Bohlmann, P. Komma, C. Weiss).

Applications of Bio- and Cheminformatics 

NGFNplus NGFNplus - Systems biology in the research of Parkinson's disease (F. Büchel, A. Dräger, F. Mittag).
HepatoSys HepatoSys - The focus of the BMBF funded network is the quantitative model-based understanding of the dynamic cellular processes involved in endocytosis, detoxification and regeneration of hepatocytes. We are part of the detoxification network and focus on the modelling and simulation of large gene regulatory networks of hepatocytes (L. Xu, A. Schröder).
Kernel Based ADME Prediction Kernel Based ADME Prediction - Prediction of ADME properties of molecular compounds to validate their suitability as potential drugs (N. Fechner, G. Hinselmann, A. Jahn).
JCell JCell: Modelling Gene Regulatory Networks - Inference of regulatory networks from microarray data and simulation of pattern formation in Artificial Life (C. Spieth).
GRN Modeling Gene Expression - Our aim is to construct models of gene regulatory networks by analyzing and integrating signals from various experiments (J. Supper).
ModuleMaster ModuleMaster - Searching cis-regulatory modules by integrating promoter analysis and multivariate regression on microarray expression data with a multiobjective evolutionary algorithm. (C. Wrzodek, A. Schröder).
Metabolic Networks Optimizing Metabolic Pathways - Reconstruction and Modeling of kinetic dependencies in metabolic pathways of E. coli and C. glutamicum (A. Dräger)
Diabetes Biomarkers Identification of biomarkers for type 2 diabetes from mass spectrometry data using machine learning learning approaches (H. Franken)
Spher4Sys Spher4Sys: A Systems biology based approach for preclinical lead compound development using an in-vivo like spheroid test system (J. Eichner)
   

Terminated Projects