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Andrea Ortiz, Dr.-Ing.
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M. Wirth, A. Ortiz and A. Klein, Risk-Aware Learning for Digital Twin Placement in Non-Stationary Hierarchical Edge Computing, in Proc. IEEE Wireless Communications and Networking Conference (WCNC). Kuala Lumpur. 2026, pp. 1-6.
W. de Sombre, S. Dongare, A. Klein, A. Ortiz, Minimizing the Age of Incorrect Information With Continual Belief Learning, In Proc. IEEE International Conference on Communications Workshop (ICC Workshop). Montreal. 2025, pp. 1-6.
F. Pyttel, W. de Sombre, A. Ortiz and A. Klein, Age of Information Minimization in Status Update Systems with Imperfect Feedback Channel, In Proc. IEEE International Conference on Communications (ICC). Denver, CO, USA. 2024, pp- 201-206.
S. Dongare, A. Jovovic, W. de Sombre, A. Ortiz and A. Klein, Minimizing the Age of Incorrect Information for Status Update Systems with Energy Harvesting, In Proc. IEEE International Conference on Communications (ICC). Denver, CO, USA. 2024, pp. 5323-5328.
M. Wirth, A. Ortiz and A. Klein, Risk-Aware Bandits for Digital Twin Placement in Non-Stationary Mobile Edge Computing, In Proc. IEEE International Conference on Communications (ICC Workshops). Denver, CO, USA. 2024, pp. 13-18.
S. Dongare, B. Simon, A. Ortiz and A. Klein, Two-Sided Learning: A Techno-Economic View of Mobile Crowdsensing Under Incomplete Information, In Proc. IEEE International Conference on Communications (ICC). Denver, CO, USA. 2024, pp. 4323-4328.
A. A. Gargari, M. Pagin, A. Ortiz, et.al., Demo:[sebasi] system-level integrated access and backhaul simulator for self-backhauling, In Proc. IEEE Int. Symp. on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Demo Session. Boston. 2023, pp. 1–3.
M. Wirth, A. Ortiz, and A. Klein, Contextual multi-armed bandits for non-stationary heterogeneous mobile edge computing, In Proc. IEEE Global Communications Conference (Globecom). Kuala Lumpur. 2023, pp. 1–6.
S. Dongare, A. Ortiz, and A. Klein, Federated deep reinforcement learning for task participation in mobile crowdsensing, In Proc. IEEE Global Communications Conference (Globecom). Kuala Lumpur. 2023, pp. 1–6.
W. de Sombre, F. Marques, F. Pyttel, A. Ortiz, and A. Klein, A unified approach to learn transmission strategies using age-based metrics in point-to-point wireless communication, In Proc. IEEE Global Communications Conference (Globecom). Kuala Lumpur. 2023, pp. 1–6.
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S. J. Dongare, P. Weber, A. Ortiz, W. Saad, O. Hinz and A. Klein, Federated Reinforcement Learning for Efficient Mobile Crowdsensing Under Incomplete Information, IEEE Internet of Things Journal. vol. 13, no. 14, pp. 30429-30443, July 2026
W. de Sombre, M. Tomová, M. Galinski, A. Klein, A. Ortiz, Deep Sleep Scheduling for Satellite IoT via Simulation-Based Optimization, IEEE Internet of Things Journal. vol. 13, no. 13, pp. 29830-29844, July 2026
W. de Sombre, A. Asadi, D. Bhattacherjee, D. Vasisht, A. Ortiz, SKYLINK: Scalable and Resilient Link Management in LEO Satellite Networks, in in IEEE Transactions on Communications, vol. 74, pp. 1421-1434. 2026
A. Ortiz, Learning and forgetting for server selection in Mobile Edge Computing: a perspective, in e+i Elektrotechnik und Informationstechnik. 142(3):216–220, June 2025
W. de Sombre, F. Pyttel, A. Ortiz, A. Klein, Minimizing the Age of Information in Status Update Systems with Multiple Sources of Uncertainty, in IEEE Open Journal of the Communication Society. 6:2822-2836, Januray 2025
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