Fachgebiet Entwurf Mikroelektronischer Systeme (EMS)

Dr.-Ing. Bilal Hammoud


Gebäude 12, Raum 211
67663 Kaiserslautern


Telefon: (+49) 631 / 205-3294
Email: hammoud(at)eit.uni-kl.de


  • Statistical/ML Signal Processing
  • Radar Signal Processing for Remote Sensing and Automotive Applications
  • Wireless Communication
  • Satellite Navigation
  • FPGA Implementation


Recent Advances in Oil-Spills Monitoring using Drone-Based Radar Remote Sensing
B. Hammoud, N. Wehn. Book chapter in Marine Pollution - Recent Developments, November, 2022, IntechOpen, ISBN 978-1-80356-300-8.

Artificial Neural Networks-based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills
B. Hammoud, C. Bou Maroun, J. Ney, N. Wehn. IEEE European Signal Processing Conference (EUSIPCO), September, 2022, Belgrade, Serbia.

A Maximum A-Posteriori Probabilistic Approach Using UAV- Nadir-Looking Wide-Band Radar for Remote Sensing Oil-Spill Detection
B. Hammoud, N. Wehn.IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July, 2022, Kuala Lumpur, Malaysia.

Efficient FPGA Implementation of an ANN-Based Demapper using Cross-Layer Analysis
J. Ney, B. Hammoud, S. Dörner, M. Herrmann, J. Clausius, S. ten Brink, N. Wehn. Electronics Special Issue "Applications of FPGAs and Reconfigurable Computing: Current Trends and Future Perspectives", April, 2022.

A Hybrid Approach combining ANN-based and Conventional Demapping in Communication for Efficient FPGA-Implementation
J. Ney, B. Hammoud, N. Wehn. 29th Reconfigurable Architectures Workshop (RAW 2022), May, 2022, Lyon, France.

Multidimensional Minimum Euclidean Distance Approach Using Radar Reflectivities for Oil Slick Thickness Estimation
B. Hammoud, G. Daou, N. Wehn. MDPI Sensors, Special Issue "RADAR Sensors and Digital Signal Processing", February, 2022.

Weitere Publikationen

Bou Maroun Ch.; Daou, G.; Hammoud, B.; Machine Learning using Support Vector Regression in Radar Remote Sensing for Oil-Spill Thickness Estimation. Accepted for publication in the 18th European Radar Conference (EuRAD) 2022. Feb 17. IEEE.

Daou, G.; Bou Maroun Ch.; Hammoud, B.; Advanced Iterative Multi-Frequency Algorithm Used by Radar Remote-Sensing Systems for Oil-Spill Thickness Estimation. Accepted for publication in the International Conference on Electrical, Computer and Energy Technologies (ICECET) 2021 Dec. IEEE.

Hammoud, B.; Ndagijimana, F.; Faour, G.; Ayad, H.; Jomaah, J. Bayesian Statistics of Wide-Band Radar Reflections for Oil Spill Detection on Rough Ocean Surface. J. Mar. Sci. Eng. 2019, 7, 12.

Hammoud B, Jomaa K, Ndagijimana F, Faour G, Ayad H, Jomaah J. Experimental Validation of Algorithms Used by Radar Remote-Sensing Systems for Oil-Spill Detection and Thickness Estimation. In2019 16th European Radar Conference (EuRAD) 2019 Oct 2 (pp. 205-208). IEEE.

Hammoud B, Ndagijimana F, Faour G, Ayad H, Jomaah J.  Algorithmes Composites utilisant des radars à large bande pour la détection de déversement d'hydrocarbures. XXIèmes Journées Nationales Microondes (JNM) 14-17 Mai 2019 – Caen.

Hammoud, B., Ndagijimana, F., Faour, G., Ayad, H., Fadlallah, M., & Jomaah, J. (2018). Reflection-coefficient experimental extraction from S21-parameter for radar oil-spill detection application. Satellite Oceanography and Meteorology, Vol. 3(2).

Mazeh, F., Hammoud, B., Ayad, H., Ndagijimana, F., Faour, G., Fadlallah, M. and Jomaah, J., 2018. Numerical Analysis of Radar Response to Snow Using Multiple Backscattering Measurements for Snow Depth Retrieval. Progress In Electromagnetics Research81, pp.63-80.

Hammoud B, Ayad H, Fadlallah M, Jomaah J, Ndagijimana F, Faour G. Oil Thickness Estimation Using Single-and Dual-Frequency Maximum-Likelihood Approach. In2018 International Conference on High Performance Computing & Simulation (HPCS) 2018 Jul 16 (pp. 65-68). IEEE.

Mazeh F, Hammoud B, Ayad H, Ndagijimana F, Faour G, Fadlallah M, Jomaah J. Snow Depth Retrieval Algorithm from Radar Backscattering Measurements at L-and X-Band Using Multi-Incidence Angles. In2018 International Conference on High Performance Computing & Simulation (HPCS) 2018 Jul 16 (pp. 43-46). IEEE.

Hammoud, B., Mazeh, F., Jomaa, K., Ayad, H., Ndagijimana, F., Faour, G., & Jomaah, J. (2017, July). Multi-Frequency Approach for Oil Spill Remote Sensing Detection. In High Performance Computing & Simulation (HPCS), 2017 International Conference on (pp. 295-299). IEEE.

Hammoud, B., Faour, G., Ayad, H., Ndagijimana, F., Jomaah, J. Performance Analysis of Detector Algorithms Using Drone-Based Radar Systems for Oil Spill Detection. Proceedings of 2nd International Electronic Conference on Remote Sensing (ECRS2), 22 March–5 April 2018.

Hammoud, B., Mazeh, F., Jomaa, K., Ayad, H., Ndagijimana, F., Faour, G., & Jomaah, J. (2017, June). Dual-frequency oil spill detection algorithm. In Computing and Electromagnetics International Workshop (CEM), 2017 (pp. 27-28). IEEE.

Hammoud B, Faour G, Ayad H, Ndagijimana F, Jomaah J. Oil Spill Detection and Thickness Estimation using Dual-Frequency Technique. The Lebanese Association for the Advancement of Science (LAAS23), The 23rd International Scientific Conference   ʺResearch and Science in the Service of Humanity”, Beirut–Lebanon, 6-7 April 2017

Hammoud, B., Antreich, F., Nossek, J.A., da Costa, J.P.C. and de Almeida, A.L., 2016, March. Tensor-Based Approach for Time-Delay Estimation. In Smart Antennas (WSA 2016); Proceedings of the 20th International ITG Workshop on (pp. 1-7). VDE.

El-Hajj, A.M., Akl, N., Hammoud, B. and Dawy, Z., 2015, August. On interference modeling for the analysis of uplink/downlink interactions in TDD-OFDMA networks. In Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International (pp. 497-502). IEEE

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