Terminated Projects

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

Artificial Neural Networks and Kernel Methods

ANTSAC ANTSAC is a new variant of the well-kwown RANdom SAmple Consensus (RANSAC) algorithm for robust estimation of model parameters. The idea of our method is based on the pheromone memory used in ant colony algorithms. (S. Otte)
Kernel-Based Multi-Target Drug Design Kernel-Based Multi-Target Drug Design - Development of multi-target models for virtual high-throughput screening and QSAR to validate the suitability of chemical compounds as potential drugs (A. Dörr, L. Rosenbaum).
Stuttgart Neural Network Simulator Stuttgart Neural Network Simulator (SNNS) - a powerful yet flexible simulator for artificial neural networks.
Classification of Visual Field Test Results Scotoma Classification using Artificial Neural Networks (SCANN) - Ouraim is to develop a computer-assisted system for the classification and interpretation of visual field test results.
SELF II SEa Level Fluctuations in the Mediterranean (SELF-II) -Development and training of neural networks to predict sea level fluctuations.
Topologien Neural networks with flexible topology - Internal generating and external growing cell structures
Applicability Domain Estimation Assessment of the data domain in which a kernel-based model can be expected to make reliable predictions (N. Fechner)
Motorenoptimierung Application support at motop test benches by using neural networks and evolutionary algorithms - Calibration of electronic control units (ECU)for combustion engines by means of neural networks and evolutionary algorithms (A. Sung)
Kernel Based ADME Prediction 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

JavaEvA EvA2 - a comprehensive Evolutionary Algorithms library: Hill-Climber,Simulated Annealing, Genetic Algorithms, Evolution Strategies,Genetic Programming, Grammatical Evolution, Model-Assisted ES, Multi-Objective ES (F. Becker).
Model-Based Online-Optimization - The mbminimize algorithm is a fullyautomatic online optimization algorithm for complex nonlinearreal-world systems with nontrivial search space dimension, such as combustion engines (A. Sung).
Memetic Algorithms in Combinatorial Optimization. Memetic algorithmsare a special class of evolutionary algorithms, which combine a local gradient search with crossover of locally optimal individuals.
Evolutionary Algorithms for Drug Design. We experiment with a specialrepresentation and new crossover and mutation operators suitable forthe optimization of small proteins, incorporating amino acid similiarity matrices.
Spannmittel Positioning of vacuum clamps using genetic algorithms - Application of genetic algorithms in the woodworking and furniture industry.
EvA Evolutionary Algorithms (EvA) - Toolkit combining several implementationsof genetic algorithms and evolution strategies as well as related optimization methods. 
Selbstorganisation Self-organizing evolution strategies - Combination of artificial neural networks and evolution strategies.
Optimisation in Dynamic Environments 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 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

Autonomous Flying Robots Tracking Vehicles with Autonomous Flying Robots - A method for self-localization and controlling the pose of MAVs. Our onboard solutions deal with limited payload capacity and little processing power but allow visual indoor and outdoor flights and carrier tracking.
Face Tracking and Pose Estimation - We present a real time algorithm for mobile robots to track human faces and estimate face poses accurately, even when humans move freely and far away from the camera or go through different illumination conditions in uncontrolled environments. (M. Vo)
Automated RFID Inventory - Due to its high potential and recent presence in retail, warehousing and logistics, we investigate the capabilities of RFID-based inventory, localization and mapping with mobile robots. (A. Koch)
Path Following with RFID tags in Unknown Environments - We propose a new method employing a combination of RFID and odometry measurements for path following purposes. Our approach features a cost-effective method if the robot is equipped with an RFID reader for inventory tasks. (R. Liu)
RGB-D object recognition - We utilize a mobile service robot with a Microsoft Kinect RGB-D sensor as an identification system for objects by utilizing the additional depth information and derived features. (L. Jiang)
Stereo Vision for Autonomous MAVs We investigate methods for using stereo vision to construct autonomous micro aerial vehicles (MAVs). This requires work on stereo vision as well as stereo-based self-localization and obstacle mapping. We have developed an MAV system, which can perform autonomous flight maneuvers using only stereo vision and inertial measurement data. (K. Schauwecker)
3D Mouse 3D Mouse - A device which allows the user to manipulate virtual 3D Objects in all six degrees of freedom quickly and intuitively. (K. E. Wenzel, A. Masselli)
3D Mouse Surgical Navigation - In our research project we develop a navigation system for surgeons applying image processing based on a combination of preoperative CT data and laparoscopic images. (C. R. Pech)
Person detection Person detection and person following - The ability to detect and recognize persons is an essential part of human-robot interaction. In our research we investigate machine-learning-based methods for detecting persons in 3D LIDAR data. (S. Buck, R. Hanten)
Efficient RGBD-SLAM for Autonomous Micro Aerial Vehicles - We investigate and develop efficient methods for Micro Aerial Vehicles (MAVs) equipped with RGBD-sensors to fly autonomously in previously unknown environments while building a map using only onboard processing power. (S. A. Scherer)
Multi-Camera SLAM for MAVs - We extend a monocular visual SLAM system to utilize multiple cameras without significant overlapping in their respective field of views, in order to achieve more robust pose tracking. We finally use the visual SLAM system to enable autonomous navigation of a MAV in unknown environments. (S. Yang)
Terrain Mapping Terrain Mapping - We fuse data of a 3D LIDAR and a camera to classify terrain and obstacles in outdoor environments. With this information we build local terrain maps that can be used for localization and autonomous navigation. (S. Laible)
Agricultural Robotics - In this growing and seminal field we focus our research on navigation and object detection in outdoor environments.
(S. Laible)
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).
Robocup Attempto Tübingen Robot Soccer Team (RoboCup) - Cooperationand competition of soccer-playing robots in a highly dynamicenvironment. We operate a team of RoboCup soccer playing robots and participate in international competitions (P. Heinemann).
Mobile Robot Control Mobile Robot Control - Control a mobile robot to push a rolling ball in an environment with obstacles (X. Li).
Mobile Roboter Mobile robots (Robin, Colin) - Robin and Colin are two prototypes ofintelligent autonomous mobile service robots. We develop new methodsfor navigation and mapping, person detection and following, and visual localization (P. Vorst).
Mobile Roboter Visual Face Tracking and Recognition - The purpose of this projectis to develop an effective way to use a low-redundancy imagerepresentation for robust automatic tracking and recognition of objects or structures appearing in images (A. Mojaev).
Biosonar robot navigation Biosonar based mobile robot navigation - The aim of this work is toovercome some inherent shortcomings of airborne sonar and to takeadvantages of bats’ perceived properties for mobile robots’ navigation in natural environments (M. Wang).
Particle Filter Particle filters for real-time object tracking - Stochastic approachesfor visual tracking of moving objects from moving platforms are investigated (A. Treptow).
Indoor 3D Modeling Indoor 3D Modeling - Indoor 3D modeling with a mobile robot using a single laser range finder and a color camera (C. Weiss).
RoboNose Gas Source Localization with a Mobile Robot - gas distribution mapping and gas source localisation with a mobile robot.
Personenverfolgung Vision-based detection and tracking of humans -
Merkmalsdetektion Evolved feature detectors for mobile robots - Localization and control of mobile service robots. 
SICK Robot Day SICK Robot Day 2010/2012 - We regulary participate at the international robot competition organized by the SICK AG in Germany. (A. Masselli, K. Bohlmann, S. A. Scherer, D. Dube)
SICK Robot Day SICK Robot Day 2014 - We regulary participate at this bi-annual international robot competition organized by the SICK AG in Germany. The last competition was held on Oct. 11, 2014 in Waldkirch near Freiburg. (S. Buck, R. Hanten, G. Huskić, G. Rauscher)
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, 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 Outdoor Robot - Sensor fusion, terrain classification and terrain mapping with a mobile outdoor robot (K. Bohlmann).
Terrain Classification Terrain Classification - Robust Terrain classification and terrain mapping under varying light conditions with a mobile outdoor robot (Y. Khan).

Applications of Bio- and Cheminformatics 

VirtualLiver 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 (S. Hoffmann, R. Keller).
VirtualLiver Nuclear receptor influenced human hepatocyte model - Development of a kinetic model of human hepatocytes (liver cells) influenced by different nuclear receptors. (S. Hoffmann)
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. Mathematical modelling and classification, based on "differentially expressed" mass-profiles of individuals, who are at high risk to develop type 2 Diabetes mellitus. (L. Rosenbaum)
MARCAR IMI 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.
(J. Eichner, M. Römer)
JCell JCell: Modelling Gene Regulatory Networks - Inference of regulatorynetworks from microarray data and simulation of pattern formation in Artificial Life (C. Spieth).
GRN Modeling Gene Expression - Our aim is to construct models of generegulatory networks by analyzing and integrating signals from various experiments (J. Supper).
Systems Biology Inferring Gene Regulatory Networks - Modeling and simulationg ofregulatory networks from microarray data (N. Speer, C. Spieth, J. Supper)
The Gene Ontology GO-based Functional Clustering - Group genes due to their functionusing Gene Ontology based metrics and/or kernels and sophisticated cluster algorithms (N. Speer).
TuebinGENome TuebinGENome- Genome Research Network of Tübingen: Functional Genomics ofInfectious Disease Susceptibility. Our task is to build an infectiongene expression database and perform bioinformatic analyses (C. Spieth, N. Speer).
JOELib JOELib- Cheminformatics library in Java: Assignment of atom types, search forsubstructures, descriptor calculation, Java3D molecule visualization,conversion of different chemical file formats (e.g. SDF, SMILES, MOL2) (J. Wegner)
Parallel Sequence Analysis Parallel Sequence Analyisis on PC Clusters - Algorithms for non-deterministichigh-probability pattern matching, running on Kepler cluster (98 Dual Pentium III PCs), for applications in molecular biology (I. Fischer).
Biosonar signal classification Biosonar signal classification - The aim of our research is to develop a classification system based on the bat neurophysiology.
Animal behavior classification Animal behavior classification - The Forced Swim Test (FST) is abehavioral test used frequently to evaluate the potential efficacy ofdrugs (antidepressant) in rats or mice. Having activity profiles ofFST, the goal of our research is to develop a classification system forthose activity profiles aiming at studing the bahavior and reaction of rats to different drugs.
Kombinatorische Katalyse Metabolizer: Simulation of complex biological systems - Integration ofdeterministic and stoachastic simulation techniques of metabolic networks into a hybrid simulator, written in Java.
SOL Search and Optimization of Lead Structures (SOL) - search for leadstructures from great substance data bases with neural networks and genetic algorithms (SOL is a new BMBF project).
COFEA COFEA- This Java software package includes pharmacophore development,adaptive similarity search and fast substructure search of chemicaldatabases, based on the Compressed Feature Matrix (CFM) molecule descriptor.
Kombinatorische Katalyse Automated Crystallization - Methods to support high throughput crystallization with neural nets and evolutionary algorithms.
String Learning Pattern Recognition for Strings - By defining a metric or kernelfunction on strings, a number of classical pattern recognitiontechniques can be applied. This project investigates the performance of such algorithms.
AutoChem Automated Combinatorial Chemistry - Software development for laboratory automation systems. 
NGFNplus 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 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).
Spher4Sys 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)
Inference of biochemical reaction systems Inference of biochemical reaction systems considering physico-chemical constraints

Multimedia and Internet Applications

Machine Learning Machine Learning for Document Security - Utilizing machine learning methods to detect malicious PDF and Flash documents and evaluating the security of those methods under adversarial conditions. (N. Šrndić)
SIOUX(Servlet Interface for Online User-Adaptive XML content). A publishingworkflow for educational online material using an XML subset of the DocBook DTD standard, rendered by a web server extension in Java.
AURITUS- Automatic Meta-Data Extraction from Audio Documents. This researchtool automatically finds chorus parts in audio files by segmenting these via a self-similarity matrix in the frequency domain.
VERN Vernetztes Studium Chemie (VS-C) - We participate in this large jointproject funded by the BMBF to develop online chemistry learning courses with a module on artificial neural networks.
STOWS Simple Tool for Organizing Web Sites (STOWS) - a simple to use tool,written in PERL, for keeping hundreds of Web pages under control.Provides for uniform layout and navigation between the pages. Free under GPL.
Global Info GLOBAL INFO - A nationwide research program dealing with global digital information interchange and retrieval.
Virtugrade Virtugrade- Development of a multimedia-based self-studying environment in the field of neural networks.
Bioinform@tik Bioinform@tik- Development of multimedia-based self-studying environment used in the Bioinformatics program at the University of Tübingen.