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Dipl.-Ing.
Evgeny Kusmenko
Software Engineering
Department of Computer Science 3
RWTH Aachen University
Ahornstraße 55
D-52074 Aachen
tel. +49 (241) 80-21342
kusmenko se-rwth.de
room 4310
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Field of Work
- Automotive
- Autonomous Vehicles
- Machine Learning and Data Science
- Robotics
- Software Architectures
- [BKL+18] C. Brecher, E. Kusmenko, A. Lindt, B. Rumpe, S. Storms, S. Wein, M. von Wenckstern, A. Wortmann:
Multi-Level Modeling Framework for Machine as a Service Applications Based on Product Process Resource Models.
International Symposium on Computer Science and Intelligent Control (ISCSIC'18). Stockholm, ACM, Sep. 2018.
- [FIK+18] C. Frohn, P. Ilov, S. Kriebel, E. Kusmenko, B. Rumpe, A. Ryndin:
Distributed Simulation of Cooperatively Interacting Vehicles.
In: International Conference on Intelligent Transportation Systems (ITSC'18), pg. 596-601, IEEE, 2018.
- [KRSvW18a] E. Kusmenko, B. Rumpe, S. Schneiders, M. von Wenckstern:
Highly-Optimizing and Multi-Target Compiler for Embedded System Models: C++ Compiler Toolchain for the Component and Connector Language EmbeddedMontiArc.
In: Conference on Model Driven Engineering Languages and Systems (MODELS'18), pg. 447-457, Copenhagen, ACM, Oct. 2018.
- [KRSvW18] E. Kusmenko, B. Rumpe, I. Strepkov, M. von Wenckstern:
Teaching Playground for C&C Language EmbeddedMontiArc.
In: Proceedings of MODELS 2018. Workshop ModComp, Copenhagen, Oct. 2018.
- [KRRvW18] E. Kusmenko, J. Ronck, B. Rumpe, M. von Wenckstern:
EmbeddedMontiArc: Textual Modeling Alternative to Simulink.
In: Proceedings of MODELS 2018. Workshop EXE, Copenhagen, Oct. 2018.
- [DGH+18a] I. Drave, T. Greifenberg, S. Hillemacher, S. Kriebel, E. Kusmenko, M. Markthaler, P. Orth, K. S. Salman, J. Richenhagen, B. Rumpe, C. Schulze, M. von Wenckstern, A. Wortmann:
SMArDT modeling for automotive software testing.
In: Software: Practice and Experience, 2018.
- [KKRW18] S. Kriebel, E. Kusmenko, B. Rumpe, M. von Wenckstern:
Finding Inconsistencies in Design Models and Requirements by Applying the SMARDT Process.
In: Modellbasierte Entwicklung eingebetteter Systeme (MBEES’18)
- [KSRW18] E. Kusmenko, I. Shumeiko, B. Rumpe, M. von Wenckstern:
Fast Simulation Preorder Algorithm.
In: Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development (MODELSWARD'18), pg. 256-267. SciTePress, Jan. 2018.
- [HKK+18] S. Hillemacher, S. Kriebel, E. Kusmenko, M. Lorang, B. Rumpe, A. Sema, G. Strobl, M. von Wenckstern:
Model-Based Development of Self-Adaptive Autonomous Vehicles using the SMARDT Methodology.
In: Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development (MODELSWARD'18), pg. 163-178. SciTePress, Jan. 2018.
- [GKR+17] F. Grazioli, E. Kusmenko, A. Roth, B. Rumpe, M. von Wenckstern:
Simulation Framework for Executing Component and Connector Models of Self-Driving Vehicles.
In: Proceedings of MODELS 2017 Satellite Event. Workshop EXE, Austin, Texas, CEUR Workshop Proceedings, Sept. 2017.
- [KRRW17] E. Kusmenko, A. Roth, B. Rumpe, M. von Wenckstern:
Modeling Architectures of Cyber Physical Systems.
In: European Conference on Modelling Foundations and Applications (ECMFA'17), Marburg, pg. 34-50. LNCS 10376, Springer, July 2017.
- [DDE+17] J. Dankert, C. Dernehl, L. Eckstein, S. Kowalewski, E. Kusmenko, B. Rumpe, :
RapidCoop - Robuste Architektur durch geeignete Paradigmen für Kooperativ Interagierende Automobile.
In: Automatisiertes und Vernetztes Fahren (AAET'17), Braunschweig, Feb. 2017.
- Kaminski, Nils: Dynamische Verhaltensaktivierung in Komponenten- und Konnektor-Modellen (MA), 2019
- Meurice, Jean: Simulation of Hardware and Controller Execution in Au-tomotive Systems (BA), 2019
- Yeverino Rodriguez, Carlos Alfredo: Multi-Target Code Generation and Training of Deep Learning Networks for Autonomous Driving (MA), 2019
- Mönckemeyer, Felix: Model-based development of a distributed trajectory
planning system for autonomous vehicles (BA), 2018
- Rexhepi, Bardh: Time Series Analysis and Prediction for Automotive Diagnosis (MA), 2018
- Jansen, Marvin: A Product Line for Simulator-Coupling in MontiSim (BA), 2018
- von Oy, Christoph: Modeling and Co-Simulation of Physical Vehicle Behavior (BA), 2018
- Pavlitskaya, Svetlana: Integration of Deep Learning Components into Autonomous Driving Architectures (MA), 2018
- Richter, Christoph: Model-predictive Trajectory Control and Simulation for Self-driving Vehicles (MA), 2018
- Timmermanns, Thomas: Modelling Languages for Deep Learning based Cyber-Physical Systems (MA), 2018
- Hellwig, Alexander: Modeling and Simulation of Cooperative Vehicles with MontiCAR and the ROS Simulation Framework (BA), 2018
- Napiorkowski, Sebastian: Leveraging Process Mining for Error Sequence Detection (MA), 2018
- Schmidt, Deniz: Model driven development of configurable vehicle simulations (BA), 2018
- Ilov, Petyo: Software architecture of distributed multi-user simulation of autonomously driving vehicles (MA), 2018
- Ryndin, Alexander: Modelling of Component-and-Connector Architectures for Autonomous Vehicles (MA), 2018
- Dao, Hoai: Similarity Measures for Categorical and Mixed Data (MA), 2018
- Schultz, Martin: Modelling dynamic Architectures for cooperative Vehicles (MA), 2018
- Martini, Melanie: Comparison of visualization techniques for high dimensional data (BA), 2018
- Dalgic, Baran: C&C Modellierung autonomen Fahrverhaltens und Simulation in Gazebo (BA), 2017
- Atouani, Abdallah: ROS basierte Simulation von C2C Kommunikation (BA), 2017
- Görick, Philipp: Matrix Properties in Type Systems of Component and Connector Based Languages (BA), 2017
- Schnackenberg, Alexander: Event-based Dynamic Reconfiguration of Component and Connector Architectures (BA), 2017
- Tabone, Luca: Architectures for Data Science Automation (MA), 2017
- Lorang, Mike: Model-based design and simulation of autonomous vehicle controllers (BA), 2017
- Scheidt, Leon: Qualitätsmaße für Clustering-Performance-Evaluation (BA), 2017
- Frohn, Christian: Simulation and Modeling of Vehicle-to-Vehicle Communication for Autonomously Driving Vehicles (MA), 2017
- Sema, Albi: Software Architectures for Deep Learning based Autonomous Driving (MA), 2017
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