INDA Hendrik Laux

hendrik.laux"at"inda.rwth-aachen.de University Hospital Aachen: Level 07, Floor 07, Room 01 Phone: TBA

Computer Vision and Machine Learning for Intensive Care Medicine

07/2019 - Present	Research and teaching assistant, RWTH Aachen University, Germany.
10/2016 - 06/2019	MSc, Electrical Engineering, Systems and Automation Engineering, RWTH Aachen University, Germany, Thesis: "Deep Reinforcement Learning for Autonomous Driving with Auxiliary Tasks".
04/2014 - 10/2018	Student Assistant ICE, RWTH Aachen University, Germany, Topics: Machine Learning Lecture Slides (for the lecture "Estimation, Information Fusion and Machine Learning") Machine Learning for Industrial Sound Localization
10/2016 - 03/2017	Industry Internship, Sennheiser electronic GmbH & Co. KG, Topic: "Unsupervised Machine Learning and Anomaly Detection for Device Checks in Production"
09/2013 - 09/2016	B.Sc. Electrical Engineering, Information and Communication Technology RWTH Aachen University, Thesis: "Machine Learning for a distributed sensor network for localization applications".
09/2010 - 03/2013	Abitur, Gymnasium Saarburg, Europaschule, Advanced Courses: Mathematics, Chemistry, Social Studies.

H. Laux, E. Mededovic, A. Hallawa, L. Martin, A. Peine, A. Schmeink, LiteVSR: "Efficient Visual Speech Recognition through Pretrained Audio Encodings", IEEE ICASSP 2024, accepted.
Laux, H., Hallawa, A., Assis, J.C.S., Schmeink, A., Martin, L., Peine, A., Two-stage visual speech recognition for intensive care patients. Sci Rep 13, 928 (2023).
R. Machhamer, M. Dziubany, L. Czenkusch, H. Laux, A. Schmeink, K.U. Gollmer, S. Naumann, G. Dartmann, "Online Offline Learning for Sound-based Indoor Localization Using Low-cost Hardware", IEEE Access, 2019.
M. Dziubany, R. Machhamer, H. Laux, A. Schmeink, K. U., Gollmer, G. Burger, and G. Dartmann "Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware", in Proceedings of European Signal Processing Conference (EUSIPCO) 2018.
H. Laux, A. Bytyn, G. Ascheid, A. Schmeink, G. Karabulut Kurt and G. Dartmann, "Learning-Based Indoor Localization for Industrial Applications", Workshop on Sensor Data Fusion and Machine Learning for next Generation of Cyber-Physical-Systems (SeFuMal) in conjunction with ACM International Conference on Computing Frontiers 2018, Ischia, Italy.

Chair of Information Theory and Data Analytics Formerly ISEK