Mahmoud Akl

According to our database, Mahmoud Akl authored at least 14 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Spiking Agents: Advancing Neural Control through Biologically-Inspired Learning and Neuromorphic Deployment.

Mahmoud Akl

PhD thesis, 2025

Event-based backpropagation on the neuromorphic platform SpiNNaker2.

Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Mayr, Hector A. Gonzalez

Proceedings of the Neuro Inspired Computational Elements, 2025

2024

Event-based backpropagation on the neuromorphic platform SpiNNaker2.

Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Georg Mayr, Andres Gonzales Hector

CoRR, 2024

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers.

Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr, Gert Cauwenberghs, Shantanu Chakrabartty

CoRR, 2024

SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning.

Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr

CoRR, 2024

Deep- Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware.

Vlad-Costin Andrei, Alexandru P. Dragutoiu, Gabriel Béna, Mahmoud Akl, Yin Li, Matthias Lohrmann, Ullrich J. Mönich, Holger Boche

Proceedings of the 58th Asilomar Conference on Signals, 2024

2022

Toward robust and scalable deep spiking reinforcement learning.

Mahmoud Akl, Deniz Ergene, Florian Walter, Alois Knoll

Frontiers Neurorobotics, September, 2022

Fine-tuning Deep Reinforcement Learning Policies with r-STDP for Domain Adaptation.

Mahmoud Akl, Yulia Sandamirskaya, Deniz Ergene, Florian Walter, Alois C. Knoll

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Porting Deep Spiking Q-Networks to neuromorphic chip Loihi.

Mahmoud Akl, Yulia Sandamirskaya, Florian Walter, Alois C. Knoll

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2019

Learning target reaching motions with a robotic arm using brain-inspired dopamine modulated STDP.

Juan Camilo Vasquez Tieck, Pascal Becker, Jacques Kaiser, Igor Peric, Mahmoud Akl, Daniel Reichard, Arne Roennau, Rüdiger Dillmann

Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019

2018

End to End Learning of Spiking Neural Network Based on R-STDP for a Lane Keeping Vehicle.

Zhenshan Bing, Claus Meschede, Kai Huang, Guang Chen, Florian Röhrbein, Mahmoud Akl, Alois C. Knoll

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Neurorobotics - From computational neuroscience to intelligent robots and back.

Alois C. Knoll, Florian Röhrbein, Alexander Kuhn, Mahmoud Akl, Kenny Sharma

Inform. Spektrum, 2017

Neurorobotics: From Computational Neuroscience to Intelligent Robots and Back.

Alois C. Knoll, Florian Röhrbein, Mahmoud Akl, Alexander Kuhn, Kenny Sharma

Proceedings of the 50 Jahre Universitäts-Informatik in München, 2017

2016

Learning Spiking Neural Controllers for In-Silico Navigation Experiments.

Mahmoud Akl, Florian Walter, Florian Röhrbein

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016