People

Meet our researchers

Nikola Aulig

SHORT CV:

2011 Diploma: Electrical Engineering and Information Technology, Technical University Darmstadt, Germany
2017 PhD: Dr.-Ing., Electrical Engineering and Information Technology, Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Structural/Topology Optimization
Machine Learning and Neural Networks

PUBLICATIONS:

N. Aulig and M. Olhofer, “State-based Representation for Structural Topology Optimization and Application to Crashworthiness”, Evolutionary Computation (CEC), 2016 IEEE Congress on, pp. 1642-1649, 2016.

N. Aulig and M. Olhofer, “Evolutionary Computation for Topology Optimization of Mechanical Structures: An Overview of Representations”, Evolutionary Computation (CEC), 2016 IEEE Congress on, pp. 1948-1955, 2016.

N. Aulig, S. Menzel, E. Nutwell and D. Detwiler, “Preference-based Topology Optimization of Body-in-white Structures for Crash and Static Loads”, 14th LS-DYNA International Conference, 2016.

Achim Bendig

SHORT CV:

2005 Diploma: Nachrichtentechnik
2006 MSc: Information Technology

SCIENTIFIC INTEREST:

Sensor technology, especially touch sensors for robots
Embedded systems communication
System engineering

Bram Bolder

SHORT CV:

Diploma: Physics, Bergische University Wuppertal, Germany
PhD: Dr.rer.nat., Ruhr-University Bochum, Germany
(“Coordination of an Artificial Visual System with Biological Models”)

SCIENTIFIC INTEREST:

System design and integration for real-time artifacts
Tracking
Low level system infrastructure (timestamping, vehicle actuation, sensory processing)

PUBLICATIONS:

B. Bolder, H. Brandl, M. Heracles, H. Janßen, I. Mikhailova, J. Schmüdderich and C. Goerick, “Expectation-driven Autonomous Learning and Interaction System”, in IEEE-RAS Int. Conf. on Humanoid Robotics, 2008.

Q. Li, M. Meier, R. Haschke, H. Ritter and B. Bolder, “Object Dexterous Manipulation in Hand Based on Finite State Machine”, Int. J. of Mechatronics and Automation, pp. 1185-1190, 2012.

T. Weisswange, B. Bolder, J. Fritsch, S. Hasler and C. Goerick, “An Integrated ADAS for Assessing Risky Situations in Urban Driving”, in Proc. IEEE Intell. Veh. Symp. (IV 2013), pp. 292-297.

Antonello Ceravola

SHORT CV:

Diploma: Computer Science, University Pisa, Italy
MBA: University of Warwick, United Kingdom

SCIENTIFIC INTEREST:

System Design and Architectures
Software Infrastructures and Integration Middlewares
Intelligent and Modular Systems

PUBLICATIONS:

A. Ceravola, F. Joublin, M. Dunn, J. Eggert, M. Stein and C. Goerick, “Integrated research and development environment for real-time distributed embodied intelligent systems”, IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, 2006, pp. 1631-1637.

A. Ceravola, M. Stein and C. Goerick, “Researching and developing a real-time infrastructure for intelligent systems – Evolution of an integrated approach”, Robotics and Autonomous Systems 56.1, 2008, pp. 14-28.

B. Dittes, A. Gepperth, A. Ceravola, J. Fritsch and C. Goerick, “Self-management for neural dynamics in brain-like information processing”, Proceedings of the 6th International Conference on Autonomic Computing and Communications, 2009, pp. 57-58.

Jörg Deigmöller

SHORT CV:

Diploma: Rhein-Main University of Applied Science, Germany
PhD: Brunel University London, United Kingdom

 

SCIENTIFIC INTEREST:

Computer Vision
Environment Perception
3D Reconstruction

PUBLICATIONS:

J. Deigmoeller, J. Eggert,  “Stereo Visual Odometry without Temporal Filtering”, German Conf. on Pattern Recognition, 2016, vol. 9796, pp 166-175.

J. Deigmoeller, H. Janssen, O. Fuchs and J. Eggert, “Monocular rear approach indicator for motorcycles”, Proc. VISAPP Conf., 2014, vol. 3, pp. 474-480.

H. Gandhi, J. Deigmoeller and N. Einecke, “Detection of Camera Artifacts from Camera Images”, IEEE Trans. Intell. Transp. Syst., 2014, vol. 15, issue 4, pp. 603-610.

Manuel Dietrich

SHORT CV:

2010 Diploma: Mechatronics, University of Applied Science, Nuernberg, Germany
2013 M.A. Philosophy of Technology, Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Ethics of Artificial Intelligence
Human-Machine Interaction
Philosophy of Technology

PUBLICATIONS:

M. Dietrich, E. Berlin and K. van Laerhoven, “Assessing Activity Recognition Feedback in Long-term Psychology Trials”, Proc. of the Int. Conf. on Mobile and Ubiquitous Multimedia (MUM), ACM, Linz, Austria, 2015, pp. 121-130.

M. Dietrich and K. van Laerhoven, “An Interdisciplinary Approach on the Mediating Character of Technologies for Recognizing Human Activity”, Philosophies, vol. 1, issue 1, 2015, pp. 55-67.

M. Dietrich and K. van Laerhoven, “Reflect Yourself! Opportunities and Limits of Wearable Activity Recognition for Self-Tracking”, Lifelogging: Digital self-tracking and Lifelogging – between disruptive technology and cultural transformation, S. Selke, Ed. Wiesbaden: Springer Fachmedien, 2015, pp. 213-233.

Mark Dunn

SHORT CV:

Diploma: Electrical Engineering

SCIENTIFIC INTEREST:

Sensory Processing
Embedded Systems

Julian Eggert

SHORT CV:

1994 Diploma: Physics, Technical University Munich, Germany
1999 PhD: Dr.rer.nat. (Cognitive Neuroscience, Theoretical Biophysics), Technical University Munich, Germany (“Theory of Activity-Gated Attention in the Visual Cortex”)

SCIENTIFIC INTEREST:

Scene representation and interpretation
Risk prediction, intention estimation, decision making under uncertainty
Learning of common-sense knowledge

PUBLICATIONS:

J. Luecke and J. Eggert, “Expectation truncation and the benefits of preselection in training generative models”, Journal of Machine Learning Research (JMLR) 10, 2010, pp. 2855-2900.

T. Guthier, V. Willert and J. Eggert, “Topological sparse learning of dynamic form patterns”, Neural Comput., vol. 27, no. 1, pp. 42-73, 2015.

J. Eggert, S. Klingelschmitt and F. Damerow, “The Foresighted Driver: Future ADAS based on generalized predictive risk Estimation”, FAST-Zero Symposium, Gothenburg, Sweden, 2015, pp. 93-100.

Nils Einecke

SHORT CV:

2006 Diploma: Technical University Ilmenau, Germany
2012 PhD: Technical University Ilmenau, Germany

SCIENTIFIC INTEREST:

Computer Vision
Outdoor Robotics
Efficient Algorithms

PUBLICATIONS:

N. Einecke and J. Eggert, “A multi-block-matching approach for stereo”, Proc. Intelligent Vehicles Symp., Seoul, 2015, pp. 585-592.

N. Einecke and J. Eggert, “Stereo image warping for improved depth estimation of road surfaces”, Proc. Intelligent Vehicles Symp., Gold Coast City, 2013, pp. 189-194.

N. Einecke and J. Eggert, “A two-stage correlation method for stereoscopic depth estimation”, Proc. Int. Conf. Digital Image Computing: Techniques and Applications, Sydney, 2010, pp. 227-234.

Lydia Fischer

PUBLICATIONS:

L. Fischer, B. Hammer and H. Wersing, “Optimal local rejection for classifiers”, Neurocomputing, vol. 214, pp. 445-457, 2016.

L. Fischer, B. Hammer and H. Wersing, “Efficient rejection strategies for prototype-based classification”, Neurocomputing, vol. 169, pp. 334-342, 2015.

L. Fischer, B. Hammer and H. Wersing, “Online Learning for an Adaptation to Confidence Drift”, In Proceedings of International Joint Conference on Neural Networks, Vancouver, Canada, IJCNN, IEEE, 2016, pp. 748-755.

Benedict Flade

SHORT CV:

2015 MSc: Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Heterogeneous Sensor Fusion
Digital Cartography
Computer Vision

PUBLICATIONS:

F. Damerow, B. Flade and J. Eggert, “Extensions for the Foresighted Driver Model: Tactical Lane Change, Overtaking and Continuous Lateral Control”, Proc. IEEE Intell. Veh. Symp., 2016, pp. 186-193.

G. Cao, F. Damerow, B. Flade, M. Helmling and J. Eggert, “Camera to Map Alignment for Accurate Low-Cost Lane-Level Scene Interpretation”, Proc. IEEE 19th Int. Conf. Intell. Transp. Syst. (ITSC), 2016, pp. 498-504.

J. Eggert, D. Aguirre Salazar, T. Puphal and B. Flade, “Driving Situation Analysis with Relational Local Dynamic Maps”, Proc. 4th Int. Symp. FAST-zero, 2017.

Mathias Franzius

SHORT CV:

Diploma: Computer Science, Brandenburg Technical University Cottbus, Germany
PhD: Dr.rer.nat. (Theoretical Biology), Humboldt University, Berlin, Germany

SCIENTIFIC INTEREST:

Outdoor robotics
Unsupervised Learning
Self-Localization

Timo Friedrich

SHORT CV:

2012 MSc: Mechanical and Process Engineering, Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Deep Neural Networks
Machine Learning
Many Objective Optimization

PUBLICATIONS:

T. Friedrich and S. Menzel, “A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem”,  2014 IEEE Congress on Evolutionary Computation (CEC), pp. 3184-3191, 2014.

M. Heiderich, T. Friedrich and M. Nguyen, “VEHICLE HANDLING OPTIMIZATION AND CONTROL – New approach for improvement of the vehicle performance by using a simulation-based optimization and evaluation method (Neuer Ansatz zur Verbesserung des Fahrverhaltens durch Verwendung einer simulationsbasierten Optimierungs- und Beurteilungsmethode)”, 7th International Munich Chassis Symposium 2017, pp. 279-293, 2017.

Stefan Fuchs

SHORT CV:

2006 Diploma: Computer Engineering, Technical University Berlin, Germany
2012 PhD: German Aerospace Center, Oberpfaffenhofen, Germany
2013-2015: Continental Automotive GmbH

SCIENTIFIC INTEREST:

Collaborative Robotics
Depth Sensing
Human Pose Recognition and Head-Eye-Tracking

PUBLICATIONS:

S. Fuchs, M. Suppa, and O. Hellwich, “Compensation for multipath in ToF camera measurements supported by photometric calibration and environment integration”, Proc. International Conference on Computer Vision 2013, pp. 31-41.

S. Fuchs, S. Haddadin, M. Keller, S. Parusel, A. Kolb, and M. Suppa, “Cooperative bin-picking with ToF-camera and impedance controlled DLR lightweight robot III”, Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems 2010, pp. 4862-4867.

S. Fuchs and G. Hirzinger, “Intrinsic and depth calibration of ToF cameras”, Proc. IEEE Conference on Computer Vision and Pattern Recognition 2008.

Michael Gienger

SHORT CV:

1998 Diploma: Mechanical Engineering, Technical University Munich, Germany
2004 PhD: Dr.-Ing.. Technical University Munich, Germany
(“Design and Realization of a Biped Walking Robot”)

 

SCIENTIFIC INTEREST:

Robotics
Machine Learning
Mechatronics

PUBLICATIONS:

S. Manschitz, J. Kober, M. Gienger and J. Peters, “Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations”, Rob. Auton. Syst., vol. 74, pp. 97-107, 2015.

S. Dragiev, M. Toussaint and M. Gienger, “Gaussian process implicit surfaces for shape estimation and grasping”, Proc. IEEE  Int. Conf. Robotics and Automation. (ICRA), 2011, pp. 2845-2850.

M. Gienger, H. Janßen and C. Goerick, “Task-oriented whole body motion for humanoid robots”, Proc. 5th IEEE-RAS  Int. Conf. Humanoids. (Humanoids), 2005, pp. 238-244.

Christian Goerick

Christian Goerick

Lars Gräning

Lars Gräning

Akinobu Hayashi

SCIENTIFIC INTEREST:

Planning under uncertainty
Active exploration
Knowledge transfer

PUBLICATIONS:

M. Mühlig, A. Hayashi, M. Gienger, S. Iba and T. Yoshiike, “Receding Horizon Optimization of Robot Motions generated by Hierarchical Movement Primitives”,  Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2014.

Martin Heckmann

SHORT CV:

1995: INSA de Lyon, Lyon, France
1997 Diploma: University of Karlsruhe, Germany
1998: Zeiss Medicare, Dublin, CA, USA
2003 PhD: University of Karlsruhe, Germany (“Adaptive audio-visual speech recognition”)
2000/2001: gipsa Lab Grenoble, France

SCIENTIFIC INTEREST:

Speech recognition
Intelligent user interfaces
User modelling

PUBLICATIONS:

M. Heckmann, ” Audio-visual word prominence detection from clean and noisy speech”, Computer, Speech and Language, to be published.

A. Schnall, M. Heckmann, “Comparing speaker independent and speaker adapted classification for word prominence detection”, Proc. IEEE Spoken Language Technology Workshop (SLT), 2016 IEEE.

N. Schömig, M. Heckmann, H. Wersing, C. Maag, A. Neukum, “Assistance-on-demand: A speech-based assistance system for urban intersections”, Proc.  8th Int. Conf. Automotive User Interfaces and Interactive Vehicular Applications Adjunct., ACM, 2016.

Herbert Janssen

SHORT CV:

Diploma: Physics

SCIENTIFIC INTEREST:

Driver modelling
Motorcycle assistance systems
Learning

PUBLICATIONS:

J. Deigmoeller, H. Janssen, O. Fuchs and J. Eggert, “Monocular rear approach indicator for motorcycles”, Proc. VISAPP Conf., 2014, vol. 3, pp. 474-480.

N. Magiera, H. Janssen, M. E. Heckmann, H. Winner, “Rider Skill Identification by Probabilistic Segmentation into Motorcycle Maneuver Primitives “, Proc. ITSC 2016.

N. Magiera, H. Janssen, H. Winner,”An Approach for Automatic Riding Skill Identification – Methodology and first Results”, Proc. ifz 2016

Frank Joublin

SHORT CV:

Diploma: Electronics and computer science, EUDIL, Lille, France
PhD: Neuroscience, University of Rouen, France
Post-doc, Ruhr-University Bochum, Germany
Phillips Speech Processing, Aachen, Germany

SCIENTIFIC INTEREST:

Semantic acquisition
Developmental robotics
Auditory signal processing in the brain

PUBLICATIONS:

C. Gläser and F. Joublin, “A Computational Model for Grounding Words in the Perception of Agents”, Proceedings of the 9th IEEE Int. Conf. on Development and Learning (ICDL), Ann Arbor, Mich., 2010, pp. 26-32.

C. Gläser and F. Joublin, “Firing Rate Homeostasis for Dynamic Neural Field Formation”, Journal of Transactions on Autonomous Mental Development archive, IEEE, 2011, Volume 3, Issue 4, pp. 285-299 .

N. Hemion et al., “Integration of Sensorimotor Mappings by Making Use of Redundancies”, Proceedings of the Int. Joint Conf. on Neural Networks (IJCNN), Brisbane, Australia, 2012, pp. 1-8.

Steffen Limmer

SHORT CV:

2008 Diploma: Computer Science, Friedrich-Schiller-University Jena, Germany
2015 PhD: Dr.-Ing., Friedrich-Alexander-University Erlangen, Germany

SCIENTIFIC INTEREST:

Evolutionary Optimization
Datamining

PUBLICATIONS:

S. Limmer and D. Fey, “Comparison of Common Parallel Architectures for the Execution of the Island Model and the Global Parallelization of Evolutionary Algorithms”, Concurrency Computat.: Pract. Exper., vol. 29, issue 9, 2016.

S. Limmer and D. Fey, “Investigation of Strategies for an Increasing Population Size in Multi-objective CMA-ES”, IEEE CEC 2016, 476-483, 2016.

S. Limmer, M. Srba and D. Fey, “Performance Investigation and Tuning in the Interoperable Cloud4E Platform”, Euro-Par 2014 FedICI Workshop, LNCS, vol. 8806, pp. 86-97, 2014.

Manuel Mühlig

SHORT CV:

2008 Diploma: Computer Science, Technical University Ilmenau, Germany
2011 PhD: Dr.-Ing., Bielefeld University, Germany (“A Whole Systems Approach to Robot Imitation Learning of Object

SCIENTIFIC INTEREST:

Robot imitation learning and movement generation
Robotic systems and integration
Long-term autonomous systems

PUBLICATIONS:

M. Mühlig, A. Hayashi, M. Gienger, S. Iba and T. Yoshiike, “Receding Horizon Optimization of Robot Motions generated by Hierarchical Movement Primitives”, Proc. IEEE Int. Conf. on Intell. Robot. Syst. (IROS), 2014, pp. 129-135.

A.-L. Vollmer, M. Mühlig, J. J. Steil, K. Pitsch, J. Fritsch, K. J. Rohlfing and B. Wrede, “Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning”, PLoS ONE, vol. 9, no. 3, pp. 1-12, 2014.

M. Mühlig, M. Gienger and J. J. Steil, “Interactive imitation learning of object movement skills”, Auton. Robots, vol. 32, pp. 97-114, 2012.

Markus Olhofer

SHORT CV:

1995 Diploma: Electrical Engineering, Ruhr-University Bochum, Germany
2001 PhD: Electrical Engineering, Ruhr-University Bochum, Germany

SCIENTIFIC INTEREST:

Evolutionary Computation
Artificial Intelligence
Data Mining

PUBLICATIONS:

R. Cheng, Y. Jin, M. Olhofer and B. Sendhoff, “A Reference Vector Guided Evolutionary Algorithm for Many-objective Optimization” in IEEE Transactions on Evolutionary Computation, 20(5): 773-791, 2016.

M. Bujny, N. Aulig, M. Olhofer, and F. Duddeck, “Hybrid evolutionary approach for level set topology optimization”, in Evolutionary Computation (CEC), 2016 IEEE Congress on, 2016, pp. 5092–5099.

O. Smalikho and M. Olhofer, “Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing”, in Simulated Evolution and Learning, Springer, 2014, pp. 25–36.

Malte Probst

SHORT CV:

2008 Diploma: Computer Science and Business Administration, University of Mannheim, Germany
2008-2010: Technical Consultant at Hewlett-Packard
2016 PhD: Dr.rer.pol. (Computer Science and Business Administration) University of Mainz, Germany

SCIENTIFIC INTEREST:

Unsupervised representation learning
Intelligent, learning agents (reinforcement learning)

PUBLICATIONS:

M. Probst, F. Rothlauf and J. Grahl, “Scalability of using Restricted Boltzmann Machines for combinatorial optimization”, European Journal of Operational Research vol. 256, no. 2, pp. 368-383, 2017.

M. Probst, “Denoising Autoencoders for Fast Combinatorial Black Box Optimization”, Companion Proc. Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, 2015, pp. 1459-1460.

M. Probst, F. Rothlauf and J. Grahl, “An implicitly parallel EDA based on Restricted Boltzmann Machines”, Proc. Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, 2014, pp. 1055-1062.

Tim Puphal

SHORT CV:

2016 MSc: Automotive Mechatronics, Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Situation Classification
Risk Evaluation
Behavior Planning

PUBLICATIONS:

J. Eggert and T. Puphal, “Continuous Risk Measures for Driving Assistance”, Proc. 4th Int. Symp. FAST-zero, 2017.

J. Eggert, D. Aguirre Salazar, T. Puphal and B. Flade, “Relational Local Dynamic Maps for Driving Situation Analysis”, Proc. 4th Int. Symp. FAST-zero, 2017.

F. Damerow, T. Puphal and J. Eggert, “Risk-based Driver Assistance for Approaching Intersections of Limited Visibility”, Proc. 1st Int. Conf. Veh. Electron. Safety (ICVES), 2017.

Tobias Rodemann

SHORT CV:

1998 Diploma: Physics (Neuroinformatics), Ruhr-University Bochum, Germany
2003 PhD: Dr.rer.nat., Technical Sciences, Bielefeld University, Germany

SCIENTIFIC INTEREST:

Smart Energy Management
Many-objective Optimization and Multi-Criteria Decision Making
System simulation

PUBLICATIONS:

R. Cheng, T. Rodemann, M. Fischer, M. Olhofer and Y. Jin, “Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation,” in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 2, pp. 97-111, 2017.

C. Karaoguz, T. Rodemann, B. Wrede and C. Goerick, “Learning Information Acquisition for Multitasking Scenarios in Dynamic Environments,” in IEEE Transactions on Autonomous Mental Development, vol. 5, no. 1, pp. 46-61, 2013.

T. Rodemann, M. Heckmann, F. Joublin, C. Goerick and B. Scholling, “Real-time Sound Localization With a Binaural Head-system Using a Biologically-inspired Cue-triple Mapping,” 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, 2006, pp. 860-865.

Sebastian Schmitt

SHORT CV:

2002 Diploma: Physics, Technical University Darmstadt, Germany
2008 PhD: Theoretical Condensed Matter Physics, Technical University Darmstadt, Germany
2009-2011: Post-doc, Technical University Dortmund, Germany

SCIENTIFIC INTEREST:

Optimization
Data mining
Machine learning

PUBLICATIONS:

C. Priester, S. Schmitt, and T.P. Peixoto, “Limits and Trade-Offs of Topological Network Robustness”, PLOS ONE 9, e108215, 2014.

S. Schmitt and F.B. Anders, “Nonequilibrium Zeeman-splitting in quantum transport through nanoscale junctions”, Phys. Rev. Lett. 107, 056801, 2011.

S. Schmitt, “Non-Fermi-liquid signatures in the Hubbard model due to van Hove singularities”, Phys. Rev. B 82, 155126, 2010.

Jens Schmüdderich

SHORT CV:

2006 Diploma: Computer Science, Bielefeld University, Germany
2009 PhD: Dr.-Ing. (Cognitive Robotics), Bielefeld University, Germany

SCIENTIFIC INTEREST:

Behavior Prediction
Situation Understanding

PUBLICATIONS:

S. Bonnin, T. Weisswange, F. Kummert and J. Schmuedderich, “General behavior prediction by a combination of situation specific models”, IEEE Trans. Intell. Transp. Syst., vol. 15, issue 4, pp. 1-11, 2014.

J. Schmuedderich et al., “A novel approach to driver behavior prediction using scene context and physical evidence for intelligent adaptive cruise control (i-ACC) “, Proc. 3rd Int. Symp. FAST-zero, 2015, pp. 85-92.

J. Schmuedderich et al., “Estimating object proper motion using optical flow, kinematics, and depth information.” IEEE Trans. Systems, Man, and Cybernetics, Part B (Cybernetics), vol.  38, issue 4, pp. 1139-1151, 2008.

Bernhard Sendhoff

SHORT CV:

1993 Diploma: Physics, Ruhr-University Bochum, Germany
1990-1991: University of Sussex, United-Kingdom
1992-1993: University of Sussex, United-Kingdom
1998 PhD: Dr.rer.nat. (Physics), Ruhr-University Bochum, Germany
2007: Honorary Professor, School of Computer Science,
University of Birmingham, United Kingdom
2008: Honorary Professor, Technical University Darmstadt, Germany

SCIENTIFIC INTEREST:

Computational Intelligence
System Optimization
Cooperative Intelligence

PUBLICATIONS:

H. Beyer and B. Sendhoff, “Robust optimization – A comprehensive survey”, Computer Methods in Applied Mechanics and Engineering, vol. 196, issue 33, pp. 3190-3218, 2007.

Y. Jin, M. Olhofer and B. Sendhoff, “A framework for evolutionary optimization with approximate fitness functions”, IEEE Transactions on Evolutionary Computation, vol. 6, issue 5, pp. 481-494, 2002.

H. Beyer and B. Sendhoff, “Simplify Your Covariance Matrix Adaptation Evolution Strategy”, IEEE Transactions on Evolutionary Computation, 2017.

Tsukasa Sugino

SHORT CV:

MSc: Engineering

SCIENTIFIC INTEREST:

Situation understanding
Traffic big data analysis

 

Thomas Weisswange

SHORT CV:

2008 Diploma: Bioinformatics, Goethe University Frankfurt, Germany
2012 PhD: Frankfurt Institute for Advanced Studies (FIAS) and
Goethe University Frankfurt, Germany (“Development of cue integration with reward-mediated learning”)

SCIENTIFIC INTEREST:

Intelligent Transportation Systems
Decision Making & Reinforcement Learning
Cognitive Systems Architecture

PUBLICATIONS:

S. Bonnin, T.H. Weisswange, F. Kummert and J. Schmuedderich, “General behavior prediction by a combination of situation specific models”, IEEE Trans. Intell. Transp. Syst., vol. 15, issue 4, pp. 1-11, 2014.

T.H. Weisswange, B. Bolder, J. Fritsch, S. Hasler, C. Goerick, “An Integrated ADAS for Assessing Risky Situations in Urban Driving”, in Proc. IEEE Intell. Veh. Symp. (IV 2013), pp. 292-297.

T.H. Weisswange, C. A. Rothkopf, T. Rodemann, J. Triesch, “Bayesian cue integration as a developmental outcome of reward mediated learning”, PLoS ONE, vol. 6, issue 7, e21575, 2011.

Heiko Wersing

SHORT CV:

1998 Diploma: Physics, Bielefeld University, Germany
2000 PhD: Dr.rer.nat. Computer Science, Bielefeld University, Germany
2017: Honorary Professor, Bielefeld University, Germany

SCIENTIFIC INTEREST:

Incremental and online learning
Human machine interaction
Personalization

PUBLICATIONS:

V. Losing, B. Hammer and H. Wersing, “KNN Classifier with Self-Adjusting
Memory for Heterogeneous Concept Drift”, Proc. IEEE Int. Conf. on Data
Mining (ICDM).  Best paper award, 2016, pp. 291-300.

S. Kirstein, H. Wersing, H.-M. Gross, and E. Körner, “A Life-Long
Learning Vector Quantization Approach for Interactive Learning of
Multiple Categories”, Neural Networks vol. 28, pp.90-105, 2012.

H. Wersing and E. Körner, “Learning optimized features for hierarchical
models of invariant recognition”, Neural Computation vol. 15(7),
pp.1559-1588, 2003.

Christiane Wiebel

SHORT CV:

2010 Diploma: Psychology, Eberhard-Karls University Tuebingen, Germany
2014 PhD: Psychology, Justus-Liebig University, Giessen, Germany (“Visual perception of materials and material properties”)
2014-2016: Post-doc Psychology, Technical University Berlin, Germany

SCIENTIFIC INTEREST:

Human-Machine Interaction and Cooperation
Perception & Psychophysics

PUBLICATIONS:

C. Wiebel*, G. Aguilar* and M. Maertens, „Maximum likelihood difference scales represent perceptual magnitudes and predict appearance matches“, Journal of Vision, 17(4):1, 2017.

R. Fleming, C. Wiebel and K. Gegenfurtner, “Perceptual qualities and material classes”, Journal of Vision, 13(8):9, 2013.

C. Wiebel, M. Valsecchi and K. Gegenfurtner, “The speed and accuracy of material recognition in natural images”, Attention, Perception & Psychophysics, 75(5), pp. 954-966, 2013.

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