Prof. Dr. Michael Philippsen



Organisation


Lehrstuhl für Informatik 2 (Programmiersysteme)



Project lead

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(Holoware - Cooperative Exploration and Analysis of Software in a Virtual/Augmented Reality Appliance):
Holoware: Holoware - Cooperative Exploration and Analysis of Software in a Virtual/Augmented Reality Appliance
Florian Lautenschlager; Prof. Dr. Michael Philippsen
(01/09/2018 - 31/08/2020)

AutoCompTest: Automatic Testing of Compilers
Prof. Dr. Michael Philippsen
(01/01/2018)

(ORKA-HPC - OpenMP für rekonfigurierbare heterogene Architekturen):
ORKA: ORKA-HPC - OpenMP for reconfigurable heterogenous architectures
Prof. Dr. Michael Philippsen
(01/11/2017 - 31/10/2020)

RuNN: RuNN - Recurrent Neuronal Networks (RNNs) for Real-Time Estimation of Nonlinear Motion Models
Prof. Dr. Michael Philippsen
(01/10/2017 - 01/10/2020)

GIFzuMINTS: Grundlagen der Informatik als Fundament eines zukunftsorientierten MINT-Studiums
Prof. Dr. Marc-Pascal Berges; Dr.-Ing. Norbert Oster; Prof. Dr. Michael Philippsen
(01/10/2016 - 30/09/2019)


Publications (Download BibTeX)

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Feigl, T., Kram, S., Woller, P., Siddiqui, R.H., Philippsen, M., & Mutschler, C. (2019). A Bidirectional LSTM for Estimating Dynamic Human Velocities from a Single IMU. In IEEE (Eds.), Proceedings of the 10th International Conference on Indoor Positioning and Indoor Navigation (IPIN). Pisa, IT: IEEE.
Blaß, T., & Philippsen, M. (2019). GPU-Accelerated Fixpoint Algorithms for Faster Compiler Analyses (Best Paper Award). In ACM (Eds.), Proceedings of the 28th International Conference on Compiler Construction (pp. 122-134). Washington, D.C., US: New York, NY, USA: ACM.
Kamp, M., Kreutzer, P., & Philippsen, M. (2019). SeSaMe: A Data Set of Semantically Similar Java Methods. In Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019) (pp. 529 - 533). Montréal, QC, Kanada, CA: Piscataway, NJ, USA: IEEE Press.
Feigl, T., Roth, D., Gradl, S., Wirth, M., Latoschik, M.E., Eskofier, B.,... Mutschler, C. (2019). Sick Moves! Motion Parameters as Indicators of Simulator Sickness. IEEE Transactions on Visualization and Computer Graphics. https://dx.doi.org/10.1109/TVCG.2019.2932224
Blaß, T., & Philippsen, M. (2019). Which Graph Representation to Select for Static Graph-Algorithms on a CUDA-capable GPU. In ACM (Eds.), Proceedings of the 12th Workshop on General Purpose Processing Using GPUs (pp. 22-31). Providence, RI, US: New York, NY, USA: ACM.
Feigl, T., Mutschler, C., & Philippsen, M. (2018). Head-to-Body-Pose Classification in No-Pose VR Tracking Systems. In Proceedings of the 25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2018) (pp. 545-546). Reutlingen, DE: IEEE Xplore.
Feigl, T., Mutschler, C., & Philippsen, M. (2018). Human Compensation Strategies for Orientation Drifts. In Proceedings of the 25th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2018) (pp. 409-414). Reutlingen, DE: IEEE Xplore.
Gorse, L., Löffler, C., Mutschler, C., & Philippsen, M. (2018). Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. In Proceedings of the 15th Workshop on Positioning, Navigation and Communications (WPNC'18). Bremen, DE: IEEE Xplore.
Feigl, T., Nowak, T., Philippsen, M., Edelhäußer, T., & Mutschler, C. (2018). Recurrent Neural Networks on Drifting Time-of-Flight Measurements. In Proceedings of the 9th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018). Nantes, FR: IEEE Xplore.
Feigl, T., Mutschler, C., & Philippsen, M. (2018). Supervised Learning for Yaw Orientation Estimation. In Proceedings of the 9th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2018). Nantes, FR: IEEE Xplore.

Last updated on 2016-05-05 at 05:17