Christopher Cichiwskyj, M.Sc. has been working as a researcher and PhD student at the "Embedded Systems"  group of the University Duisburg-Essen since April 2015. He received his master's degree in "Angewandte Informatik" with a focus on distributed, reliable systems at the University Duisburg-Essen. He received his bachelor's degree in 2013 with a special focus on pervasive computing. He left our group in July 2021.

Publications

    Journal articles

  • Cichiwskyj, Christopher; Schmeißer, Stephan; Qian, Chao; Einhaus, Lukas; Ringhofer, Christopher; Schiele, Gregor
    Elastic AI : System support for adaptive machine learning in pervasive computing systems
    In: CCF Transactions on Pervasive Computing and Interaction Vol. 3 (2021) Nr. 3, pp. 300 - 328
  • Cichiwskyj, Christopher; Schiele, Gregor
    Temporal Accelerators : Unleashing the Potential of Embedded FPGAs
    In: J.UCS: Journal of Universal Computer Science Vol. 27 (2021) Nr. 11, pp. 1174 - 1192
  • Burger, Alwyn Johannes; Cichiwskyj, Christopher; Schmeißer, Stephan; Schiele, Gregor
    The Elastic Internet of Things - A Platform for Self-Integrating and Self-Adaptive IoT-Systems with Support for Embedded Adaptive Hardware
    In: Future Generation Computer Systems Vol. 113 (2020) pp. 607 - 619
  • Book articles / Proceedings papers

  • Qian, Chao; Cichiwskyj, Christopher; Ling, Tianheng; Schiele, Gregor
    Idle is the New Sleep : Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity
    In: Architecture of Computing Systems: Proceedings / 37th International Conference, ARCS 2024, Potsdam, Germany, May 14–16, 2024 / Fey, Dietmar; Stabernack, Benno; Lankes, Stefan (Eds.) 2024, pp. 161 - 176
  • Cichiwskyj, Christopher; Qian, Chao; Schiele, Gregor
    Time to Learn : Temporal Accelerators as an Embedded Deep Neural Network Platform
    In: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020 ; Ghent, Belgium, September 14-18, 2020 ; Revised Selected Papers / 2nd International Workshop on IoT Streams for Data-Driven Predictive Maintenance ; IoT Streams 2020 ; September 14-18, 2020, Ghent, Belgium / Gama, João; Pashami, Sepideh; Bifet, Albert; Sayed-Mouchaweh, Moamar; Fröning, Holger; Pernkopf, Franz; Schiele, Gregor; Blott, Michaela (Eds.) 2020, pp. 256 - 267
  • Schiele, Gregor; Burger, Alwyn Johannes; Cichiwskyj, Christopher
    The Elastic Node: An Experimentation Platform for Hardware Accelerator Research in the Internet of Things
    In: Proceedings of the IEEE International Conference on Autonomic Computing / ICAC 2019; Umea; Sweden; 16 - 20 June 2019 2019, pp. 84 - 94
  • Burger, Alwyn Johannes; Cichiwskyj, Christopher; Schiele, Gregor
    Elastic Nodes for the Internet of Things : A Middleware-Based Approach
    In: Proceedings - 2017 IEEE International Conference on Autonomic Computing, ICAC 2017 / 14th IEEE International Conference on Autonomic Computing, ICAC 2017; The Ohio State University Columbus; United States; 17 July 2017 through 21 July 2017 / Wang, Xiaorui (Eds.) 2017, pp. 73 - 74
  • Loviska, Milan; Krause, Otto; Engelbrecht, Herman A.; Nel, Jason B.; Schiele, Gregor; Burger, Alwyn Johannes; Schmeißer, Stephan; Cichiwskyj, Christopher; Calvet, Lilian; Griwodz, Carsten; Halvorsen, Pål
    Immersed gaming in Minecraft
    In: Proceedings of the 7th International Conference on Multimedia Systems (MMSys'16) / MMSys'16 - 7th International Conference on Multimedia Systems, 10-13 May 2016, Klagenfurt, Austria / Association for Computing Machinery (ACM) (Eds.) 2016 32
  • Cichiwskyj, Christopher; Schiele, Gregor
    Using field-programmable gate arrays for learning non player characters
    In: Proceedings of the 8th International Workshop on Massively Multiuser Virtual Environments (MMVE'16) / 8th International Workshop on Massively Multiuser Virtual Environments (MMVE'16), 12 May 2016, Klagenfurt, Austria3, 2016 / Association for Computing Machinery (ACM) (Eds.) 2016 2