E. Kusmenko

Dipl.-Ing.
Evgeny Kusmenko

Software Engineering
Department of Computer Science 3
RWTH Aachen University
Ahornstraße 55
D-52074 Aachen

tel. +49 (241) 80-21324
kusmenkoatse-rwth.de

room 4314

Field of Work

  • Automotive
  • Autonomous Vehicles
  • Machine Learning and Data Science
  • Software Architectures

Publications

  • [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.

Supervised Bachelor/Master Thesis

  • 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