Fachgebiet Technische Informatik Prof. Dr.-Ing. habil. Michael Hübner

• (2013-2016) M.Sc. Ruhr-Universität Bochum (RUB), Bochum, Deutschland.
• (2008-2013) Electrical Engineering.  Universidad Metropolitana (UNIMET), Caracas, Venezuela.
• (2008-2013) Systems Engineering.  Universidad Metropolitana (UNIMET), Caracas, Venezuela.

[2020] Osvaldo Navarro, Jones Yudi Mori, Javier Hoffmann, Hector Gerardo Muñoz Hernandez, Michael Hübner:A Machine Learning Methodology for Cache Memory Design Based on Dynamic Instructions. ACM Trans. Embedded Comput. Syst. 19(2): 12:1-12:20 (2020) 

[2020] Fricke, Florian; Mahmood, Safdar; Hoffmann, Javier; Ali, Muhammad; Shahin, Keyvan; Hübner, Michael; Göhringer, Diana: (2020) Domain Adaptive Processor Architectures. In: Jasperneite J., Lohweg V. (eds) Kommunikation und Bildverarbeitung in der Automation. Technologien für die intelligente Automation (Technologies for Intelligent Automation), vol 12. Springer Vieweg, Berlin, Heidelberg 

[2019] Flo­ri­an Fri­cke, Ja­vier Edu­ar­do Hoff­mann, Saf­dar Mah­mood, Micha­el Hüb­ner - “A Tool to Ease De­sign-Space-Ex­plo­ra­ti­on Using the Ten­si­li­ca LX7 ASIP” in CDN­Li­ve EMEA 2019 

[2019] J. Hoffmann: “Energy Aware Enhanced Earliest Deadline First Algorithm”. In: K. De Bosschere, Ed., “ACACES 2019: poster abstracts.” HiPEAC High-Performance Embedded Architecture and Compilation, Subiaco, Rome, 2019. 

[2018] J. Hoffmann, D. Kuschnerus, T. Jones and M. Hübner, "Towards a Safety and Energy Aware protocol for Wireless Communication," 2018 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), Lille, 2018, pp. 1-6. 

[2018] J. Hoffmann: “An Energy-aware Dynamic Scheduler for Hard Deadline Tasks”. In: K. De Bosschere, Ed., “ACACES 2018: poster abstracts.” HiPEAC High-Performance Embedded Architecture and Compilation, Subiaco, Rome, 2018. 

[2017] Flo­ri­an Käs­t­ner, Os­val­do Na­var­ro Guz­man, Be­ne­dikt Jan­ßen, Ja­vier Edu­ar­do Hoff­mann, Micha­el Hüb­ner. Ana­ly­sis of Hard­ware Im­ple­men­ta­ti­ons to Ac­ce­le­ra­te Con­vo­lu­tio­nal and Re­cur­rent Neu­ro­nal Net­works. In In­ter­na­tio­nal Jour­nal on Ad­van­ces in Soft­ware, vol 10 no 3 & 4, year 2017 

[2017] Ja­vier Edu­ar­do Hoff­mann, Os­val­do Na­var­ro Guz­man, Flo­ri­an Käs­t­ner, Be­ne­dikt Jan­ßen, Micha­el Hüb­ner, “A survey on CNN and RNN implementations,” in PE­SA­RO 2017, The Seventh In­ter­na­tio­nal Con­fe­rence on Per­for­mance, Sa­fe­ty and Ro­bust­ness in Com­plex Sys­tems and Ap­p­li­ca­ti­ons, 2017 

[2017] Osvaldo Navarro, Jones Mori, Javier Hoffmann, Fabian Stuckmann, and Michael Hübner. 2017. A machine learning methodology for cache recommendation. In Proceedings of the International Symposium on Applied Reconfigurable Computing. Springer, 311--322.