Dr. Leonardo Militano

Arbeit an der ZHAW

Lehrtätigkeit

• Informatik Programmieren 1
• Verteilte Systeme
• Betriebssysteme

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0002-5056-4272

Social Media

• Scholar
• LinkedIn

Projekte

• NEPHELE – A Lightweight Software Stack and Synergetic Meta-Orchestration Framework for the Next Generation Compute Continuum / Projektleiter:in / abgeschlossen
• Digital Mobility/Logistics Hub / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Filinis, N. et al. (2026) 'Edge AI-driven robotic applications in the computing continuum', IEEE Internet of Things Magazine, 9(3), pp. 132–139. doi: 10.1109/MIOT.2026.3655981.
• Militano, L. et al. (2023) 'The cloud-to-edge-to-IoT continuum as an enabler for search and rescue operations', Future Internet, 15(2), p. 55. doi: 10.3390/fi15020055.

Schriftliche Konferenzbeiträge, peer-reviewed

• Fu, L. et al. (2025) 'ROSBag MCP server : analyzing robot data with LLMs for agentic embodied AI applications'. IEEE, pp. 70–77. doi: 10.1109/roboticcc68732.2025.00025.
• Fu, L. et al. (2025) 'IoRT ROS 2 applications : evaluating Zenoh and VPN for robotic networking in the edge-cloud continuum'. IEEE. doi: 10.1109/iscc65549.2025.11326186.
• Arce, A. A. et al. (2024) 'Virtual objects for robots and sensor nodes in distributed applications over the cloud continuum', in 2024 IEEE Symposium on Computers and Communications (ISCC). IEEE. doi: 10.1109/ISCC61673.2024.10733709.
• Toffetti, G. et al. (2023) 'ROS-based robotic applications orchestration in the compute continuum : challenges and approaches', in Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. Association for Computing Machinery, p. 49. doi: 10.1145/3603166.3632555.
• Murphy, S. et al. (2022) 'Efficient delivery of robotics programming educational content using cloud robotics', in 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022). IEEE, pp. 222–226. doi: 10.1109/ICRAE56463.2022.10056179.
• Toffetti, G. et al. (2022) 'Cloud native robotic applications with GPU sharing on Kubernetes', in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. arXiv. doi: 10.48550/arXiv.2210.03936.
• Militano, L. et al. (2022) 'AI-powered Infrastructures for intelligence and automation in beyond-5G systems', in Proceedings of 2021 IEEE Globecom Workshops (GC Wkshps). IEEE, pp. 1–6. doi: 10.1109/GCWkshps52748.2021.9682117.
• Baumann, L. et al. (2019) 'Monitoring resilience in a rook-managed containerized cloud storage system', in 2019 European Conference on Networks and Communications (EuCNC). IEEE, pp. 89–94. doi: 10.1109/EuCNC.2019.8801967.

Weitere Publikationen

• Salimpour, S. et al. (2025) Towards embodied agentic AI : review and classification of LLM- and VLM-driven robot autonomy and interaction. arXiv. doi: 10.48550/arxiv.2508.05294.
• Höppli, R., Bohnert, T. M. and Militano, L. (2018) 'Hera Object Storage : a seamless, automated multi-tiering solution on top of OpenStack Swift', in 8th IEEE International Symposium on Cloud and Service Computing (SC2 2018), Paris, France, 18-21 November 2018. IEEE. doi: 10.1109/SC2.2018.00011.

Publikationen vor Tätigkeit an der ZHAW

O. Galinina, L. Militano, S. Andreev, A. Pyattaev, K. Johnsson, A. Orsino, G. Araniti, A. Iera, M. Dohler, Y. Koucheryavy, "Analyzing Competition and Cooperation Dynamics of the Aerial mmWave Access Market", Submitted to IEEE Access, 2018

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