Daniel Stolfi Rosso
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| Faculty or Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | PCOG | ||||
| Postal Address |
Université du Luxembourg Maison du Nombre 6, Avenue de la Fonte L-4364 Esch-sur-Alzette |
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| Campus Office | MNO, E02 0215-040 | ||||
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| Telephone | (+352) 46 66 44 6936 | ||||
Daniel Stolfi Rosso received his PhD degree from the School of Computer Science, at the University of Malaga (Spain), in 2018. His research interests are in bioinspired algorithms, metaheuristics for combinatorial optimization, robotics and computer simulations. Daniel joined the Parallel Computing & Optimization research group, PCOG, headed by Prof. Pascal Bouvry.
Last updated on: Wednesday, 06 February 2019
2022
An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System;
in Applied Sciences (2022), 12(20),
Optimising Autonomous Robot Swarm Parameters for Stable Formation Design;
in Proceedings of the Genetic and Evolutionary Computation Conference (2022, July 08)
2021
Improving Pheromone Communication for UAV Swarm Mobility Management; ; ;
in ICCCI 2021: Computational Collective Intelligence (2021, July 30)
UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance; ; ;
in Frontiers in Robotics and AI (2021), 8
2020
Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques; ; ;
in Sensors (2020), 20(9), 2566
A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms; ; ;
in IEEE 17th Annual Consumer Communications & Networking Conference CCNC 2020, Las Vegas, NV, USA, January 10-13, 2020 (2020)
Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates; ; ;
in 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020 (2020)
Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection; ; ;
in Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (2020)
