A Framework for Knowledge Integrated Evolutionary Algorithms. - Ahmed Hallawa; Anil Yaman; Giovanni Iacca; Gerd Ascheid (EvoApplications (1), 2017)

Presenting the ECO: Evolutionary Computation Ontology. - Anil Yaman; Ahmed Hallawa; Matt Coler; Giovanni Iacca (EvoApplications (1), 2017)

Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. - Ahmed Hallawa; Jaro De Roose; Martin Andraud; Marian Verhelst; Gerd Ascheid (GECCO (Companion), 2017)

Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization. - Ahmed Hallawa; Stephan Schlupkothen; Giovanni Iacca; Gerd Ascheid (GECCO (Companion), 2017)

Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. - Martin Andraud; Ahmed Hallawa; Jaro De Roose; Eugenio Cantatore; Gerd Ascheid; Marian Verhelst (GECCO (Companion), 2018)

Evolutionary Algorithm Optimized Centralized Offline Localization and Mapping. - Stephan Schlupkothen; Ahmed Hallawa; Gerd Ascheid (ICNC, 2018)

A heuristic for multi objective software application mappings on heterogeneous MPSoCs. - Gereon Onnebrink; Ahmed Hallawa; Rainer Leupers; Gerd Ascheid; Awaid-Ud-Din Shaheen (ASP-DAC, 2019)

On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets. - Ahmed Hallawa; Elisabeth Zechendorf; Yi Song; Anke Schmeink; Arne Peine; Lukas Martin; Gerd Ascheid; Guido Dartmann (EvoApplications, 2019)

A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines. - Lejla Begic Fazlic; Ahmed Hallawa; Anke Schmeink; Arne Peine; Lukas Martin; Guido Dartmann (MIPRO, 2019)

Multi-objective optimisation of software application mappings on heterogeneous MPSoCs: TONPET versus R2-EMOA. - Gereon Führ; Ahmed Hallawa; Rainer Leupers; Gerd Ascheid; Juan Fernando Eusse (Integr., 2019)

3D Optimisation of Software Application Mappings on Heterogeneous MPSoCs. - Gereon Führ; Ahmed Hallawa; Rainer Leupers; Gerd Ascheid; Juan Fernando Eusse (ARCS, 2020)

Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution. - Ahmed Hallawa; Simon Schug; Giovanni Iacca; Gerd Ascheid (EvoApplications, 2020)

A Machine Learning Approach for the Classification of Disease Risks in Time Series. - Lejla Begic Fazlic; Ahmed Hallawa; Matthias Dziubany; Marlies Morgen; Jens Schneider 003; Marvin Schacht; Anke Schmeink; Lukas Martin; Arne Peine; Thomas Vollmer; Stefan Winter 002; Guido Dartmann (MECO, 2020)

Evo-RL: evolutionary-driven reinforcement learning. - Ahmed Hallawa; Thorsten Born; Anke Schmeink; Guido Dartmann; Arne Peine; Lukas Martin; Giovanni Iacca; A. E. Eiben; Gerd Ascheid (GECCO Companion, 2021)

Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach. - Dominik Sisejkovic; Farhad Merchant; Lennart M. Reimann; Harshit Srivastava; Ahmed Hallawa; Rainer Leupers (ACM J. Emerg. Technol. Comput. Syst., 2021)

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. - Arne Peine; Ahmed Hallawa; Johannes Bickenbach; Guido Dartmann; Lejla Begic Fazlic; Anke Schmeink; Gerd Ascheid; Christoph Thiemermann; Andreas Schuppert; Ryan Kindle; Leo A. Celi; Gernot Marx; et al. (npj Digit. Medicine, 2021)

Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents. - Cagatay Sariman; Ahmed Hallawa; Erdi Sayar; Arne Peine; Lukas Martin; Anke Schmeink (GECCO Companion, 2022)

A Visualization and Benchmarking Simulator for Clinical Data. - Marlies Morgen; Lejla Begic Fazlic; Arne Peine; Lukas Martin; Anke Schmeink; Ahmed Hallawa; Guido Dartmann (pHealth, 2022)

On Using Meta-Learning to Overcome Challenges in Speaker Localization. - Mahdi Barhoush; Ahmed Hallawa; Anke Schmeink (EUROCON, 2023)

Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning. - Mahdi Barhoush; Ahmed Hallawa; Arne Peine; Lukas Martin; Anke Schmeink (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Speaker identification and localization using shuffled MFCC features and deep learning. - Mahdi Barhoush; Ahmed Hallawa; Anke Schmeink (Int. J. Speech Technol., 2023)

LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data. - Hendrik Laux; Emil Mededovic; Ahmed Hallawa; Lukas Martin; Arne Peine; Anke Schmeink (ICASSP, 2024)