Staff

Philipp Grothe, M. Sc.

Photo of Philipp  Grothe

Research Assistant


Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 114 (2nd Floor)

Email:grothe(at)iti.uni-luebeck.de
Phone:+49 451 3101 6308
Fax:+49 451 3101 6304

Curriculum Vitae

Oct. 2014 - Jan. 2018:
Bachelor of Science in Medical Informatics at the University of Lübeck

Apr. 2018 - Jan 2020:
Master of Science in Medical Informatics at the University of Lübeck

Since Feb. 2020:
Research assistant at the Institute of Computer Engineering of the University of Lübeck

Research Interests

In my research I focus on the application of novel non-volatile memory elements in embedded systems and machine learning.
Of special interest to me is to leverage the complementary advantages of analog and digital hardware on the circuit level, as well as tightly integrating these aspects.

Projects

KI-PRO:
KI-PRO aims to develop a high-performance computing platform for sensor data processing in autonomous vehicles.

DAIS:
DAIS approach is to develop intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost and energy-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together.

Publications

[GrH20a] Grothe, P.; Haase, J.: Controlling Real Memristors in Embedded Systems.. Proceedings of 29th IEEE International Symposium on Industrial Electronics (ISIE) 2020, IEEE, 2020
[GrH20b] Grothe, P.; Haase, J.: Potential of Memristors in Medical Image Processing and Concerns in the Clinical Context.. Proceedings of IEEE HYDCON, IEEE, 2020
[KLW20] Kolms, T.; Lang, C.; Waldner, A.; Grothe, P.; Haase, J.: Towards In-Memory Computing: Arithmetic Operations on Real Memristors. Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society (IECON) 2020, IEEE, 2020
[KWL20] Kolms, T.; Waldner, A.; Lang, C.; Grothe, P.; Haase, J: Analog Implementation of Arithmetic Operations on Real Memristors.. Proceedings of 23rd International Workshop on Software and Compilers for Embedded Systems (SCOPES), ACM, 2020
[GrH19a] Grothe, P.; Haase, J.: Analog Implementation of a Decision Tree Using Memristors. Student Conference 2019, Infinite Science Publishing, 2019
[GrH19b] Grothe, P.; Haase, J.: Memristors as Adjustable Boundaries for an Analog Implementation of Decision Trees. 28th IEEE International Symposium on Industrial Electronics (ISIE) 2019, IEEE, 2019
[GrH19c] Grothe, P.; Haase, J.: Memristors for Programmable Circuits Controlled by Embedded Systems. Software and Compilers for Embedded Systems (SCOPES) 2019, ACM, 2019 [Paper]