Ronny G. Gündel

Dr. Ronny G. Gündel

I am a research scientist at TNO, a leading research institute in the Netherlands, where I focus on radar research and related subjects within the Radar Technology Group.

Before joining TNO, I was employed at Delft University of Technology, where I obtained my Ph.D. in radar signal processing with the Microwave Sensing, Signals and Systems (MS3) Group. During my time at TU Delft, I conducted research on advanced radar techniques for human activity recognition, healthcare, and security applications. My Ph.D. research was supervised by Prof. Dr. Alexander Yarovoy and Prof. Dr. Francesco Fioranelli.

Before, I earned my M.Sc. in Electrical Engineering with a focus on Signal Processing and Communication (SPC) from Villanova University, United States. My studies were conducted at the Center for Advanced Communications (CAC), under the supervision of Dr. Moeness G. Amin, with generous support from a Fulbright Scholarship.

Earlier, I completed a Diplom degree in Automotive Electronics (equivalent to a combined B.Sc. and M.Sc.) at the University of Applied Sciences in Zwickau, known for its outstanding facilities in automotive research, including the Center for Automotive Electronic Research.

At TNO, I continue to explore innovative solutions in radar technology, contributing to projects that aim to enhance safety, security, and efficiency across various industries. My research interests include distributed radar systems, machine learning for signal processing, and the integration of radar with other sensing modalities.

Feel free to connect with me through my Email, LinkedIn or check out my TU Delft profile, Google Scholar, and GitHub.

Achievements

Notable accomplishments during my academic career include:

Appointed as a committee member for the Ph.D. defense of now Dr. Nakorn Kumchaiseemak, who graduated from VISTEC with his thesis entitled A Deep Learning-Based Approach for Small-Size Object Localization and Head Pose Estimation in FMCW Radar.

Serving as a Session Co-Chair at the International Conference on Radar 2024 in Rennes, France.

Co-author of a paper that received the Best Paper Award at the IEEE SENSORS Conference, in collaboration with Ingrid Ullmann.

Recipient of the IEEE Radar Conference Travel Award, which supported attendance in New York City, USA.

Recipient of a Fulbright Scholarship to study at Villanova University. There, I pursued a Master’s in Electrical Engineering at the Center for Advanced Communications (CAC) under the guidance of Dr. Moeness G. Amin.

Mentor e.V. Prize 2017 for outstanding achievement in the final thesis in Electrical Engineering.

Selected Novel Papers and Associated Datasets

This section presents a selection of my most impactful papers and their associated datasets. The complete list of my publications is accessible on Google Scholar.

Journal Paper:
Guendel, R. G., Kruse, N. C., Fioranelli, F., & Yarovoy, A. (2024). "Multipath Exploitation for Human Activity Recognition Using a Radar Network." IEEE Transactions on Geoscience and Remote Sensing, 62, pp. 1–13, Art no. 5103013. doi: 10.1109/TGRS.2024.3363631.

Associated Dataset:
Guendel, R. G., Yarovoy, A., & Fioranelli, F. (2024). "Dataset: Continuous Human Activities Utilizing Three Pulsed Radars Exploiting Multipath (Version 2)." 4TU.ResearchData. doi: 10.4121/E1D6A078-9022-4F48-9AA6-E22389980FEE.

Journal Paper:
Guendel, R. G., Fioranelli, F., & Yarovoy, A. (2022). "Distributed radar fusion and recurrent networks for classification of continuous human activities." IET Radar, Sonar & Navigation, 16(7), pp. 1144–1161. doi: 10.1049/rsn2.12249. Abstract | Full Text (PDF).

Associated Dataset:
Guendel, R. G., Unterhorst, M., Kruse, N., Yarovoy, A., & Fioranelli, F. (2024). "Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes" (Version 5). 4TU.ResearchData. doi: 10.4121/eda41444-9ae8-4655-aac5-4d2541b2bcd8.

Achievements

Reviewer Involvements

Selected Novel Papers and Associated Datasets