Chair of Information Theory and Data Analytics Dr.-Ing. Mahdi Barhoush
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mahdi.barhoush"at"inda.rwth-aachen.de |
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Short Curriculum Vitae
| 10/2019 - Present | Research and teaching assistant, RWTH Aachen University, Germany. |
| 09/2016 - 09/2019 | Univ. Teacher at Arab American University- Palestine Telecommunication Engineering Department. |
| 10/2013 - 10/2015 | MSc from RWTH Aachen University, Germany, Thesis Topics: "Wireless Communication for Distributed Control Networks". |
| 09/2013 - 09/2016 | B.Sc. Telecommunication Engineering, Arab American University- Palestine, Thesis: "Wavelet-based multicarrier code division multiple access". |
Research Interest
Computer Vision and Machine Learning for Intensive Care Medicine
Publications
- A. Ayad, M. Barhoush, J. Loh, T. Gemmeke, A. Schmeink, "PEACE: Private and Energy-efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization", IEEE Int. Conf. on Inf. and Comm. Sys., Sep 2023, accepted.
- M. Kohankhaki, A. Ayad, M. Barhoush, A. Schmeink, "Detecting Data Poisoning in Split Learning Using Intraclass-Distance Inflated Loss", IEEE GLOBECOM Workshop, 2023, accepted.
- A. Ayad, M. Barhoush, M. Frei, B. Völker and A. Schmeink, "An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning," in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 9, pp. 4261-4272, Sept. 2023.
- M. Barhoush, A. Ayad, A. Schmeink, "Accelerating Federated Learning via Modified Local Model Update Based on Individual Performance Metric", ICECCME, 2023, accepted.
- M. Barhoush, A. Hallawa, A. Schmeink, "On Using Meta-Learning to Overcome Challenges in Speaker Localization", IEEE EUROCON 2023, accepted.
- M. Barhoush, A. Hallawa, A. Peine, L. Martin and A. Schmeink, "Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 670-683, 2023
- M. Barhoush, A. Hallawa, A. Schmeink, "Speaker identification and localization using shuffled MFCC features and deep learning", International Journal of Speech Technology, 1-12, 2023.
- M. Barhoush, A. Ayad and A. Schmeink, "Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications," 2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), Mexico City, Mexico, 2023, pp. 1-6
- M. Kohankhaki, A. Ayad, M. Barhoush, B. Leibe and A. Schmeink, "Radiopaths: Deep Multimodal Analysis on Chest Radiographs," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3613-3621
- M. Barhoush, A. Ayad and A. Schmeink, "Semi-supervised Algorithms in Resource-constrained Edge Devices: An Overview and Experimental Comparison," 2022 IEEE iThings and IEEE GreenCom and IEEE CPSCom and IEEE SmartData and IEEE Cybermatics, Espoo, Finland, 2022, pp. 555-559.
- M. Barhoush, A. Hallawa and A. Schmeink, "Robust Automatic Speaker Identification System Using Shuffled MFCC Features," 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), 2021, pp. 1-6, doi: 10.1109/ICMLANT53170.2021.9690530.
- G.Dartmann, E.Almodaresi, M.Barhoush, N.Bajcinca, G.K.Kurt, V.Lücken, E.Zandi, G.Ascheid, "Adaptive control in cyber-physical systems: Distributed consensus control for wireless cyber-physical systems" in Cyber-Physical Systems: Foundations Principles and Applications, St. Louis, MO, USA: Elsevier, pp. 15-30
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