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Rodrigo Hernangómez, M.Sc.

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© Fraunhofer HHI

Rodrigo Hernangómez was born in Madrid, Spain, in 1993. He received his B.Sc. in Telecommunication Technologies and Services Engineering and his M.Sc. in Telecommunication Engineering in 2015 and 2017, respectively, from Universidad Politécnica de Madrid, Spain.

Since 2018 he is working as a Research Associate at Fraunhofer Heinrich-Hertz Institute (HHI) in Berlin, Germany with the Signal and Information Processing group of the Wireless Communications and Networks department. There he is involved in national and international research projects for localization and wireless communication.

Also since 2018, he is working at Infineon Technologies AG in Munich, Germany developing artificial intelligence algorithms for radar.

He is currently working towards the Ph.D. degree under the supervision of Prof. Sławomir Stańczak. His research interests include the application of machine learning, Bayesian inference and information theory to radar and wireless communication systems.

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Publications

Palaios, Alexandros and Geuer, Philipp and Fink, Jochen and Külzer, Daniel F and Göttsch, Fabian and Kasparick, Martin and Schäufele, Daniel and Hernangómez, Rodrigo and Partani, Sanket and Sattiraju, Raja and others (2021). Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 1432–1438.

Khodabakhshandeh, Hamid and Visentin, Tristan and Hernangómez, Rodrigo and Pütz, Miro (2021). Domain Adaptation Across Configurations of FMCW Radar for Deep Learning Based Human Activity Classification. 2021 21st International Radar Symposium (IRS), 1–10.

R. Hernangómez and A. Santra and S. Stanczak (2020). A Study on Feature Processing Schemes for Deep-Learning-Based Human Activity Classification Using Frequency-Modulated Continuous-Wave Radar. IET Radar, Sonar & Navigation, Volume 14, Issue 7, July 2020, 10 pp.

R. Hernangómez and A. Santra and S. Stanczak (2019). Human Activity Classification with Frequency Modulated Continuous Wave Radar Using Deep Convolutional Neural Networks. RADAR 2019 International Conference, 23-27 Sept. 2019, Toulon, France

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Contact

Rodrigo Hernangómez Herrero, M.Sc.
Fraunhofer Heinrich-Hertz-Institute
Einsteinufer 37
10587 Berlin