Meet our associates

Markus Amann

SHORT CV:

2022 MSc.: Electrical Engineering, Technische Universität Darmstadt

SCIENTIFIC INTEREST:

Cooperative Driving
Behavior Planning and Prediction
Human-Machine Interfaces for Autonomous Vehicles

Anna Belardinelli

SHORT CV:

2005 M.Sc.: Computer Engineering, Sapienza University Rome
2009 PhD: Computer Engineering, Sapienza University Rome
2019 Habilitation in Cognitive Science: Eberhard Karls University of Tübingen

SCIENTIFIC INTEREST:

Eye-hand coordination in object interaction
Sensorimotor aspects of visual perception
Computational models of visual attention

PUBLICATIONS:

Belardinelli, A., Lohmann, J., Farnè, A., & Butz, M. V. (2018). Mental space maps into the future. Cognition, Vol. 176, July 2018, 65-73.

A. Belardinelli, M. Stepper and M.V. Butz (2016). It’s in the Eyes: Planning Precise Manual Actions Before Execution. Journal of Vision, Vol.16, 18.

M. Wischnewski, A. Belardinelli, W.X. Schneider and J.J. Steil (2010). Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention. Cognitive Computation, 2 (4) , p. 326 – 343

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.

Sebastian Brulin

SHORT CV:

2016 M.Sc.: Mechanical and Process Engineering, Technische Universität Darmstadt

SCIENTIFIC INTEREST:

Transport Systems
Agent-based Simulations

Andrea Castellani

SHORT CV:

2019 M.Sc.: Electronic Engineering, Universita’ Politecnica delle Marche, Ancona, Italy

SCIENTIFIC INTEREST:

Machine Learning
Deep Learning
Time-Series Analysis

PUBLICATIONS:

Andrea Castellani, Sebastian Schmitt, and Stefano Squartini, “Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning,” IEEE Transactions on Industrial Informatics, vol. 17, no. 7, pp. 4733-4742, July 2021.

Andrea Castellani, Sebastian Schmitt, and Barbara Hammer, “Task-Sensitive Concept Drift Detector with Constraint Embedding,” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando FL, USA, pp. 01-08, December 2021.

Andrea Castellani, Sebastian Schmitt, and Barbara Hammer, “Stream-Based Active Learning with Verification Latency in Non-stationary Environments,” Artificial Neural Networks and Machine Learning – ICANN 2022. Lecture Notes in Computer Science, vol. 13532, pp. 260-272, September 2022.

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.

Monica Dasi

SHORT CV:

2023 M.Sc.: High Integrity Systems, Frankfurt University of Applied Sciences

SCIENTIFIC INTEREST:

Software Development
Machine Learning Algorithms
Autonomous Driving

Jörg Deigmöller

SHORT CV:

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

 

SCIENTIFIC INTEREST:

Knowledge Representation and reasoning
Computer Vision
Machine Learning

PUBLICATIONS:

J. Eggert, J. Deigmoeller, L. Fischer, A. Richter, “Memory Nets: A Knowledge Representation for Autonomous Entities”, 11th International Conference on Knowledge Engineering and Knowledge Ontology Development, 2019.

L. Fischer, S. Hasler, J. Deigmoeller, T. Schnuerer, M. Redert, U. Pluntke, K. Nagel, C. Senzel, J. Ploennigs, A. Richter, J. Eggert, “Which Tool to Use? Grounded Reasoning in Everyday Environments with Assistant Robots”, Proceedings of the 11th Cognitive Robotics Workshop, 2018.

J. Deigmöller, N. Einecke, O. Fuchs, and H. Janssen, “Road surface scanning using stereo cameras for motorcycles”, 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018, pp. 549–554.

Manuel Dietrich

SHORT CV:

2010 Diploma: Mechatronics, University of Applied Science, Nuernberg, Germany
2013 M.A.: Philosophy of Technology, Technische Universität Darmstadt, Germany
2018 PhD: Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Ethics of Artificial Intelligence
Human-Machine Interaction
Philosophy of Technology

PUBLICATIONS:

M. Dietrich, T.H. Weisswange, “Distributive Justice as an Ethical Principle for Autonomous Vehicle Behavior Beyond Hazard Scenarios”, Ethics and Information Technology, Berlin: Springer, 2019, pp. 1 – 13.

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, “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. Eggert, J. Deigmöller, L. Fischer and A. Richter, “Memory Nets: Knowledge Representation for Intelligent Agent Operations in Real World”, International Conference on Knowledge Engineering and Ontology Development, 2019.

T. Puphal, M. Probst and J. Eggert, “Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving”, IEEE Transactions on Intelligent Vehicles, 2019.

B. Flade, A. Koppert, G. Ve’lez Isasmendi, M. Nieto, A. Das, D. Be’taille, O. Otaegui, J. Eggert, ” Low-Cost Lane-level self-localization using filtered GNSS and Camera to Map Alignment”, IEEE Intelligent Transportation Systems Magazine, 2019.

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:

J. Deigmöller, N. Einecke, O. Fuchs, and H. Janssen, “Road surface scanning using stereo cameras for motorcycles”, 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018, pp. 549–554.

N. Einecke, J. Deigmöller, K. Muro, and M. Franzius, “Boundary wire mapping on autonomous lawn mowers”, Field and Service Robotics, Zurich, 2017, pp. 351-365.

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

Linus Ekstrøm

SHORT CV:

2022 MSc: Quantum Simulation on Quantum Computers

SCIENTIFIC INTEREST:

Quantum Optimization
Quantum Simulation
Multiple-Objective Optimization

Jens Engel

SHORT CV:

2020 MSc: Electrical Engineering and Information Technology, Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Energy Management Systems
Model Predictive Control
Energy system optimization

PUBLICATIONS:

J. Engel, T. Schmitt, T. Rodemann, and J. Adamy, “Hierarchical scenario-based economic model predictive control approach for a building energy management system with EV charging”, IEEE Transactions on Smart Grid, 2022.

T. Schmitt, J. Engel, T. Rodemann, “Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System”, Proceedings of the 7th IEEE Conference on Control Technology and Applications (CCTA), 2023.

Benedict Flade

SHORT CV:

2015 MSc: Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Digital Cartography
Computer Vision
Global Navigation Satellite System

PUBLICATIONS:

B. Flade, M. Nieto, G. Velez and J. Eggert, “Lane Detection Based Camera to Map Alignment Using Open-Source Map Data”, Proc. IEEE 21st Int. Conf. Intell. Transp. Syst. (ITSC), 2018, pp. 890-897.

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.

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.

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

PUBLICATIONS:

B. Metka, M. Franzius, U. Bauer-Wersing, “Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis”. PLoS ONE 13(9): e0203994. https://doi.org/10.1371/journal.pone.0203994.

M. Haris, M. Franzius, U. Bauer-Wersing, “Robot Navigation on Slow Feature Gradients”. International Conference on Neural Information Processing (pp. 143-154) 2018.

B. Metka, M. Franzius, U. Bauer-Wersing, “Efficient navigation using slow feature gradients”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1311-1316) 2017.

Michael Gienger

SHORT CV:

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

SCIENTIFIC INTEREST:

Robotics
Machine Learning
Mechatronics

PUBLICATIONS:

M. Gienger, D. Ruiken, T. Bates, M. Regaieg, M. Meissner, J. Kober, P. Seiwald and A.C. Hildebrandt, “Human-Robot Cooperative Object Manipulation with Contact Changes.” Proc. IEEE Int. Conf. on Intell. Robot. Syst. (IROS), 2018, pp. 1354-1360.

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.

J. Kober, M Gienger and JJ Steil, “Learning Movement Primitives for Force Interaction Tasks”, Proc. IEEE Int. Conf. on Robot. Aut. (ICRA), pp. 3192-3199, 2015.

Karin Haake

SHORT CV:

2016 MSc.: Mechanical Engineering, Technische Universität Darmstadt, Germany
2016-2017: Lhoist Recherche et Developpement, Nivelles, Belgium

SCIENTIFIC INTEREST:

Project Coordination
Technology Transfer
Technology Management
Communications

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.

Matti Krüger

SCIENTIFIC INTEREST:

Augmented Perception
Cooperative Human-Machine Interaction
Adaptive Interfaces

PUBLICATIONS:

M. Krüger, C. Wiebel and H. Wersing (2017). From Tools Towards Cooperative Assistants. 5th International Conference on Human Agent Interaction, pp. 287-294.

Krüger, M., Wiebel-Herboth, C. B., & Wersing, H. (2020). The Lateral Line: Augmenting Spatiotemporal Perception with a Tactile Interface. In Proceedings of the Augmented Humans International Conference, pp. 1-10.

Krüger, M., Wiebel-Herboth, C. B., & Wersing, H. (2021). Tactile encoding of directions and temporal distances to safety hazards supports drivers in overtaking and intersection scenarios. Transportation Research Part F: Traffic Psychology and Behaviour, 81, pp. 201-222.

Felix Lanfermann

SHORT CV:

2018 MSc.: Mechatronics, Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Artificial Intelligence for Engineering
Computational Creativity
Machine Learning

PUBLICATIONS:

S. Khodaverdian, F. Lanfermann and J. Adamy, “Root Locus Design for the Synchronization of Multi-Agent Systems in General Directed Networks”, 5th IFAC Workshop on Estimation and Control of Networked Systems (NecSys), Pennsylvania, Philadelphia, USA, 2015.
F. Lanfermann, S. Schmitt, and S. Menzel, “An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization,” 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2020.

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
Prediction
Energy Management

PUBLICATIONS:

S. Limmer and T. Rodemann, “Peak Load Reduction through Dynamic Pricing for Electric Vehicle Charging”, International Journal of Electrical Power & Energy Systems, vol. 113, pp. 117-128, 2019.

S. Limmer and M. Dietrich, “Optimization of Dynamic Prices for Electric Vehicle Charging Considering Fairness,” IEEE SSCI, pp. 2304-2311, 2018.

S. Limmer and T. Rodemann, “Multi-objective optimization of plug-in electric vehicle charging prices,” IEEE SSCI, pp. 2853-2860, 2017.

Wei Ma

SHORT CV:

2020 MSc.: Mechanical Engineering, Karlsruhe Institute of Technology, Germany

SCIENTIFIC INTEREST:

Machine Learning, Robotics, 3D Reconstruction.

Simon Manschitz

SHORT CV:

2014: MSc. Information System Technology, Technische Universität Darmstadt, Germany
2017 PhD: Dr.-Ing., Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Machine Learning
Robotics
Behavior Generation

PUBLICATIONS:

S. Manschitz, M. Gienger, J. Kober, J. Peters, “Mixture of Attractors: A novel Movement Primitive Representation for Learning Motor Skills from Demonstrations”, IEEE Robotics and Automation Letters (RA-L), vol. 3, num. 2, pp. 926-933, 2018.

S. Manschitz, J. Kober, M. Gienger, J. Peters, “Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations”, Robotics and Autonomous Systems, vol. 74, pp. 97-107, 2015.

S. Manschitz, M. Gienger, J. Kober, J. Peters, “Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives”, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pp. 3920-3927, 2016.

Nikolay Matyunin

SHORT CV:

2014 Diploma: Computer Science, Lomonosov Moscow State University, Russia

SCIENTIFIC INTEREST:

Information security and data privacy
Privacy-enhancing technologies

Stefan Menzel

SHORT CV:

1998 Diploma: Civil Engineering, Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen, Germany
1998-1999: Philipp Holzmann AG, Düsseldorf, Germany
2004 PhD: Dr.-Ing., Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Evolutionary Optimization
Geometry Processing
Machine Learning

PUBLICATIONS:

X. Lu, S. Menzel, K. Tang, X. Yao, “Cooperative co-evolution-based design optimization: a concurrent engineering perspective”, in IEEE Transactions on Evolutionary Computation, vol. 22, IEEE, 2017, pp. 173-188.

N. Aulig, E. Nutwell, S. Menzel, D. Detwiler, “Preference-based topology optimization for vehicle concept design with concurrent static and crash load cases”, in Structural and Multidisciplinary Optimization, vol. 57, Springer Berlin Heidelberg, 2018, pp. 251-266.

D. Sieger, S. Gaulik, J. Achenbach, S. Menzel, M. Botsch, “Constrained space deformation techniques for design optimization”, in Computer-Aided Design, vol. 72, Elsevier, 2016, pp. 40-51.

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.

Siddhata Naik

SHORT CV:

2016: M. Eng. Information Technology, SRH University Heidelberg, Germany

SCIENTIFIC INTEREST:

Software Infrastructure and Integration
System Design and Architecture

Felix Ocker

SHORT CV:

2018 MSc: Mechanical Engineering, Technical University of Munich, Germany
2022 PhD: Technical University of Munich, Germany (“Knowledge Representation and Ontology Merging in the Context of Automated Production Systems”

SCIENTIFIC INTEREST:

Knowledge Representation
Intelligent Systems

PUBLICATIONS:

Ocker, F., Vogel-Heuser, B., & Paredis, C. J. J. (2022). A framework for merging ontologies in the context of smart factories. Computers in Industry, 135, 103571.

Ocker, F., Vogel-Heuser, B., & Paredis, C. J. J. (2019). Applying semantic web technologies to provide feasibility feedback in early design phases. Journal of Computing and Information Science in Engineering, 19(4).

Ocker, F., Kovalenko, I., Barton, K., Tilbury, D., & Vogel-Heuser, B. (2019). A framework for automatic initialization of multi-agent production systems using semantic web technologies. IEEE Robotics and Automation Letters, 4(4), 4330-4337.

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.

Jibesh Patra

SHORT CV:

2013 M.Sc.: Computer Science, NIT Durgapur, India
2021 Ph.D.: Computer Science, University of Stuttgart, Germany

SCIENTIFIC INTEREST:

Software Engineering, Program Analysis, Machine Learning on Code

PUBLICATIONS:

• Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks, Jibesh Patra, Michael Pradel – International Conference on Software Engineering (ICSE), 2022

• Semantic bug seeding: a learning-based approach for creating realistic bugs, Jibesh Patra, Michael Pradel – European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE), 2021

• A survey of compiler testing, Junjie Chen, Jibesh Patra, Michael Pradel, Yingfei Xiong, Hongyu Zhang, Dan Hao, Lu Zhang – ACM Computing Surveys (CSUR), 2020

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)
Behavior planning for autonomous vehicles

PUBLICATIONS:

T. Puphal, M. Probst and J. Eggert, “Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving”, IEEE Trans. on Intell. Veh., 2019.

T. Puphal, M. Probst, Y. Li, Y. Sakamoto and J. Eggert, “Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins”, in Proc. IEEE Intell. Veh. Symp., 2018.

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.

Tim Puphal

SHORT CV:

2016 MSc: Mechatronics, Technische Universität Darmstadt, Germany
2021 PhD: Electrical Engineering, Technische Universität Darmstadt, Germany (“Driving Risk Models for Predicting, Planning and Warning”)

SCIENTIFIC INTEREST:

Situation Prediction
Risk Models
Motion Planning

PUBLICATIONS:

T. Puphal, M. Probst, Y. Li, Y. Sakamoto and J. Eggert, “Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins”, in Proc. IEEE Intell. Veh. Symp., 2018.

T. Puphal, M. Probst and J. Eggert, “Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving”, IEEE Trans. on Intell. Veh., 2019.

J. Eggert and T. Puphal, “Continuous Risk Measures for Driving Support”, JSAE Int. Journ. of Autom. Eng., 2018.

Krishna Rajan

SHORT CV:

2014 MSc: Nanotechnology, Politecnico Di Torino, Italy
2018 PhD: Italian Institute of Technology, Italy

SCIENTIFIC INTEREST:

Intellectual Property Protection
Hybrid Memristors
Nanomaterial Synthesis and Thin Film Deposition

PUBLICATIONS:

K. Rajan, K. Bejtka, S. Bocchini, D. Perrone, A. Chiappone, I. Roppolo, C. F. Pirri, C. Ricciardi and A. Chiolerio, “Highly performing ionic liquid enriched hybrid RSDs”, J. Mater. Chem. C, 2017, 5, pp 6144-6155.

K. Rajan, S. Bocchini, A. Chiappone, I. Roppolo, D. Perrone, M. Castellino, K. Bejtka, M. Lorusso, C. Ricciardi C. F. Pirri, and A. Chiolerio, “WORM and bipolar inkjet printed resistive switching devices based on silver nanocomposites”, Flex. Print. Electron., 2017, 2, 024002.

K. Rajan, I. Roppolo, K. Bejtka, A. Chiappone, S. Bocchini, D. Perrone, C. F. Pirri, C. Ricciardi and A. Chiolerio, “Performance comparison of hybrid resistive switching devices based on solution-processable nanocomposites”, Appl. Surf. Sci., 2018, Vol. 443, pp 475-483.

Ali Raza

SHORT CV:
2017 BSc: Computer Engineering , UET Taxila, Pakistan
2020 MSc: Electronics and Computer Engineering, Hongik University, South Korea
2023 Ph.D.: Computer Science, University of Kent, United Kingdom.
2023 Ph.D.: Informatics and Automatics, University of Lille, France.
2023 PostDoc: Explainable for IoT security, Ensait, University of Lille, France
 
SCIENTIFIC INTEREST:
AI for Cybersecurity and Healthcare
Applied Cryptography
Security and Privacy of AI applications
Explainable AI
 
PUBLICATIONS:

Raza, Ali, et al. “Designing ecg monitoring healthcare system with federated transfer learning and explainable ai.” Knowledge-Based Systems 236 (2022): 107763.

Raza, Ali, et al. “AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description.” Engineering Applications of Artificial Intelligence 121 (2023): 106051.

Raza, Ali, et al. “Proof of Swarm Based Ensemble Learning for Federated Learning Applications.” Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. 2023.

Raza, Ali, Kyunghyun Han, and Seong Oun Hwang. “A framework for privacy preserving, distributed search engine using topology of DLT and onion routing.” IEEE Access 8 (2020): 43001-43012.

Raza, Ali, et al. “Decision Support Systems for Healthcare based on Probabilistic Graphical Models: a survey and perspective.” Machine Learning and Probabilistic Graphical Models for Decision Support Systems. CRC Press, 2022. 5-33

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.

T. Rodemann, “Industrial Portfolio Management for Many-Objective Optimization Algorithms”, IEEE WCCI, 2018, Rio de Janeiro, Brazil.

T. Jatschka, T. Rodemann, G. Raidl, “A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications”, EvoCOP, 2019, LNCS 11452, Springer.

Dirk Ruiken

SHORT CV:

2007 Diploma: Computer Science, Technische Universität Darmstadt, Germany
2017 PhD: Computer Science, University of Massachusetts Amherst, USA (“Belief-Space Planning for Resourceful Manipulation and Mobility”)

SCIENTIFIC INTEREST:

Robotics
Probabilistic Planning
Manipulation

PUBLICATIONS:

D. Ruiken, T. Liu, T. Takahashi, and R. Grupen, “Reconfigurable Tasks in Belief-Space Planning”, 16th IEEE-RAS International Conference on Humanoid Robots, Cancun, Mexico, 2016.

D. Ruiken, JM. Wong, T. Liu, M. Hebert, T. Takahashi, M. Lanighan, and R. Grupen, “Affordance-Based Active Belief: Recognition using Visual and Manual Actions”, International Conference on Robotics and Systems (IROS), Daejeon, Korea, 2016.

D. Ruiken, M. Lanighan, and R. Grupen, “Postural Modes and Control for Dexterous Mobile Manipulation: the UMass uBot Concept”, 13th IEEE-RAS International Conference on Humanoid Robots, Atlanta, USA, 2013.

Ahmed Sadik

SHORT CV:

2013 MSc.: Automation Engineering, Tampere University of Technology, Finland
2019 PhD: University of Rostock, Germany

SCIENTIFIC INTEREST:

Information System Architecture
Human-Robot Cooperation
Artificial Software Agents

PUBLICATIONS:

A. R. Sadik, B. Urban, A Holonic “Control System Design for a Human & Industrial Robot Cooperative Workcell”, In 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC). IEEE, (2016).

A. R. Sadik, B. Urban, Ontology in “Holonic Cooperative Manufacturing: A Solution to Share and Exchange the Knowledge”, In International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management. Springer, (2017).

A. R. Sadik, B.  Urban, “Flow Shop Scheduling Problem and Solution in Cooperative Robotics — Case-Study: One Cobot in Cooperation with One Worker”, Future Internet, (2017).

Sebastian Schmitt

SHORT CV:

2002 Diploma: Physics, Technische Universitär 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.

Thomas Schmitt

SHORT CV:

2017 MSc: Mechatronics, Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Energy Management Systems
Model Predictive Control
Decision Making

PUBLICATIONS:

T. Schmitt, T. Rodemann, and J. Adamy. Multi-objective model predictive control for microgrids. at – Automatisierungstechnik, 68(8):687 – 702, 2020.

T. Schmitt, T. Rodemann, and J. Adamy. The cost of photovoltaic forecasting errors in microgrid control with peak pricing. Energies, 14(9), 2021.

J. Engel, T. Schmitt, T. Rodemann, and J. Adamy. Hierarchical scenario-based economic model predictive control approach for a building energy management system with EV charging. IEEE Transactions on Smart Grid, 2022.

Oliver Schön

SHORT CV:

2018 MSc.: Automotive Mechatronics, Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Mechatronics
3D Modeling
Electronics development

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
Data Privacy & Secure Computing

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, Technische Universität 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.

Marijke Stein

SHORT CV:

2005: Computer Science, University of Applied Sciences, Merseburg, Germany

SCIENTIFIC INTEREST:

Linux toolchains
build automation
DevOps
IT law & IP compliance management
Video editing

Daniel Tanneberg

SHORT CV:

2015 M.Sc.: Computer Science, Minor: Biological Psychology, Technische Universität Darmstadt
2020 Ph.D.: Computer Science, Technische Universität Darmstadt (“Understand-Compute-Adapt: Neural Networks for Intelligent Agents”)

SCIENTIFIC INTEREST:

Machine Learning
Robot Learning
Lifelong and Autonomous Learning

PUBLICATIONS:

Tanneberg, D.; Ploeger, K.; Rueckert, E.; Peters, J. (2021), “SKID RAW: Skill Discovery from Raw Trajectories”, IEEE Robotics and Automation Letters (RA-L)

Tanneberg, D.; Rueckert, E.; Peters, J. (2020), “Evolutionary training and abstraction yields algorithmic generalization of neural computers”, Nature Machine Intelligence

Tanneberg, D.; Peters, J.; Rueckert, E. (2019), “Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks”, Neural Networks

Chao Wang

SHORT CV:

2009M.F.A: Interaction Design, Zhejiang University, China
2017 PhD: Eindhoven University of Technology, the Netherlands

SCIENTIFIC INTEREST:

Automotive HCI
Human-Robot Interaction
Explainable AI

PUBLICATIONS:

C. Wang, J. Terken, J. Hu and M. Rauterberg, “Likes and dislikes on the road: a social feedback system for improving driving behavior”, Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2016, pp. 43-50.

C. Wang, J. Terken, J. Hu, “CarNote: reducing misunderstanding between drivers by digital augmentation”, Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017, pp. 85-94.

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:

T.H. Weisswange, S. Rebhan, B. Bolder, N.A. Steinhardt, F. Joublin, J. Schmuedderich, C.Goerick, “intelligent Traffic Flow Assist: Optimized Highway Driving Using Conditional Behavior Prediction”, IEEE Intell. Transp. Syst. Mag., in press, 2019.

M.C. Buehler, T.H. Weisswange, “Online inference of human belief for cooperative robots”, In Proc. IROS 2018, Madrid, Spain.

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.

Raphael Wenzel

SHORT CV:

2018 MSc.: Automotive Mechatronics, Technische Universität Darmstadt, Germany

SCIENTIFIC INTEREST:

Automated Driving and Intelligent Vehicles
Behavior and Trajectory Planning
Control Theory

PUBLICATIONS:

W. Wachenfeld, P. Junietz, R. Wenzel and H. Winner. “The worst-time-to-collision metric for situation identification.” In 2016 IEEE Intelligent Vehicles Symposium (IV), pp. 729-734. IEEE, 2016.

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.

Patricia Wollstadt

SHORT CV:

Diploma: Diploma Psychology, Goethe-University Frankfurt, Germany, MSc Computer Science, Goethe-University Frankfurt, Germany
PhD: Dr. rer. nat., Computer Science, Brain Imaging Center, Goethe-University Frankfurt, Germany

PUBLICATIONS:

P. Wollstadt, J.T. Lizier, R. Vicente, C. Finn, M. Martínez-Zarzuela, P. Mediano, L. Novelli, M. Wibral, “IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks”, Journal of Open Source Software 4(34), 1081, 2019.

P. Wollstadt, K.K. Sellers, L. Rudelt, V. Priesemann , A. Hutt, F. Fröhlich, M. Wibral, “Breakdown of local information processing may underlie isoflurane anesthesia effects”, PLoS Computational Biology 13 (6), e1005511, 2017.

P. Wollstadt, U. Meyer, M. Wibral, “A Graph Algorithmic Approach to Separate Direct from Indirect Neural Interactions”, PLoS ONE 10(10), e0140530, 2015.

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