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  5. Ahmed Hallawa

Ahmed Hallawa

Biography

Ahmed Hallawa is a PhD candidate at the chair of Integrated Signal Processing Systems (ISS), under the supervision of Prof. Gerd Ascheid. He holds a MSc. degree from the University of Stuttgart, Germany. His main research interest is the use of machine learning in robotics, swarm intelligence, embedded systems and drug development. He is particularly focused in evolutionary computation, task distribution and collective behaviour, artificial neural networks, and optimal control theory. He is currently taking part in the research activities of H2020-FETOPEN project “PHOENIX: Exploring the Unknown through Reincarnation and Co-evolution”.

Student Thesis & HiWi Jobs

For inquires regarding B.Sc. and M.Sc. thesis opportunities or HiWi Jobs, please conact me via email. Kindly attach your CV and academic grades.

Ahmed Hallawa, MSc.

Scientific Staff

Room: 406
+49 241 80-28854
+49 241 80-22195
ahmed.hallawa(at)ice.rwth-aachen.de

Collaborative Projects

Phoenix
 

Publications

Führ (Onnebrink), G., Hallawa, A., Leupers, R., Ascheid, G. and Eusse, J. F.: Multi-objective optimisation of software application mappings on heterogeneous MPSoCs: TONPET versus R2-EMOA, in (Integration), Vol. 69, Elsevier, pp. 50-61, Nov. 2019, 10.1016/j.vlsi.2019.09.005


Peine, A., Hallawa, A., Schöffski, O., Dartmann, G., Begic Fazlic, L., Schmeink, A., Marx, G. and Martin, L.: A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study, in JMIR Med Inform, Vol. 7, No. 4, p. e14806, Oct. 2019, ISSN: 2291-9694, 10.2196/14806


Begic Fazlic, L., Hallawa, A., Schmeink, A., Peine, A., Martin, L. and Dartmann, G.: A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines, in 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (IEEE), Apr. 2019, 10.23919/MIPRO.2019.8756929


Führ (Onnebrink), G., Hallawa, A., Leupers, R., Ascheid, G. and Shaheen, A.: A Heuristic for Multi Objective Software Application Mappings on Heterogeneous MPSoCs, in Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC), Jan. 2019, 10.1145/3287624.3287651


Hallawa, A., Zechendorf, E., Song, Y., Schmeink, A., Peine, A., Marin, L., Ascheid, G. and Dartmann, G.: On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets, in Evostar Conference(Cham), pp. 254--269, Springer International Publishing, 2019, ISBN: 978-3-03016-692-2, 10.1007/978-3-030-16692-2_17


Andraud, M., Hallawa, A., De Roose, J., Cantatore, E. , Ascheid, G. and Verhelst, M.: Evolving Hardware Online Instinctive Behaviors in Resource-scarce Agent Swarms Exploring Hard-to-reach Environments, in Proceedings of the Genetic and Evolutionary Computation Conference Companion(New York, NY, USA), ACM, Jul. 2018, ISBN: 978-1-45035-764-7, 10.1145/3205651.3208255


Schlupkothen, S., Hallawa, A. and Ascheid, G.: Evolutionary Algorithm Optimized Centralized Offline Localization and Mapping, in 2018 International Conference on Computing, Networking and Communications (ICNC), Mar. 2018, 10.1109/ICCNC.2018.8390410 ©2018 IEEE


Zechendorf, E., Vaßen, P., Zhang, J., Hallawa, A., Schuerholz, T., Martincuks, A. , Krenkel, O. , Müller-Newen, G. , Simon, T.-P., Marx, G., Ascheid, G., Schmeink, A., Dartmann, G., Thiemermann, C. and Martin, L.: Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes – A Medical-In-Silico Approach Using Machine Learning, in Frontiers in Immunology , Frontiers, Feb. 2018, accepted for publication, 10.3389/fimmu.2018.00393


Hallawa, A., Schlupkothen, S., Iacca, G. and Ascheid, G.: Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization, in Proceedings of the Genetic and Evolutionary Computation Conference Companion(New York, NY, USA), pp. 1721-1726, ACM, Jul. 2017, ISBN: 978-1-45034-939-0, 10.1145/3067695.3084201


Hallawa, A., De Roose, J., Andraud, M., Verhelst, M. and Ascheid, G.: Instinct-driven Dynamic Hardware Reconfiguration: Evolutionary Algorithm Optimized Compression for Autonomous Sensory Agents, in Proceedings of the Genetic and Evolutionary Computation Conference Companion(New York, NY, USA), pp. 1727--1734, ACM, Jul. 2017, ISBN: 978-1-45034-939-0, 10.1145/3067695.3084202


Hallawa, A., Yaman, A., Iacca, G. and Ascheid, G.: A Framework for Knowledge Integrated Evolutionary Algorithms, in Applications of Evolutionary Computation: 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I(Cham), pp. 653-669, Springer International Publishing, 2017, ISBN: 978-3-31955-849-3, 10.1007/978-3-319-55849-3_42


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