Ass.-Prof. Dott. mag. Dr. Atakan Aral
1090 Wien
Raum : 6.39
Lehrveranstaltungen
Wintersemester 2026
-
051080 LP Softwarepraktikum mit Bachelorarbeit
-
052500 VU Distributed Systems Engineering
-
053021 LP Praktikum Informatik 1
-
053031 LP Praktikum Informatik 2
-
053049 SE Masterseminar
-
500500 SE Doktoranden Forschungsseminar - Algorithms and Computing
Sommersemester 2026
-
051080 LP Softwarepraktikum mit Bachelorarbeit
-
052500 VU Distributed Systems Engineering
-
053021 LP Praktikum Informatik 1
-
053031 LP Praktikum Informatik 2
-
053049 SE Masterseminar
Wintersemester 2025
-
051080 LP Softwarepraktikum mit Bachelorarbeit
-
052500 VU Distributed Systems Engineering
-
052511 VU Cloud Computing
-
053021 LP Praktikum Informatik 1
-
053031 LP Praktikum Informatik 2
-
053049 SE Masterseminar
Publikationen
Edge Offloading for Microservice Architectures. / Zilic, Josip; De Maio, Vincenzo; Aral, Atakan et al.
EdgeSys 2022 - Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2022. New York: Association for Computing Machinery, Inc, 2022. S. 1-6.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Edge Offloading for Microservice Architectures. / Zilic, Josip; Maio, Vincenzo De; Aral, Atakan et al.
5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2022). 2022.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Roadmap for edge AI: a Dagstuhl perspective. / Ding, Aaron Yi; Peltonen, Ella; Meuser, Tobias et al.
in: Computer Communications Review, Band 52, Nr. 1, 01.01.2022, S. 28-33.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
FedCD: Personalized Federated Learning via Collaborative Distillation. / Ahmad, Sabtain; Aral, Atakan.
2022 IEEE/ACM 15 th International Conference on Utility and Cloud Computing: UCC 2022. Piscataway: IEEE Computer Society, 2022. S. 189-194.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
The Many Faces of Edge Intelligence. / Peltonen, Ella; Ahmad, Ijaz; Aral, Atakan et al.
in: IEEE Access, Band 10, 2022, S. 104769-104782.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. / Zhou, Hao; Aral, Atakan; Brandic, Ivona et al.
in: IEEE Internet of Things Journal, Band 9, Nr. 14, 01.12.2021, S. 11685-11698.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services. / Aral, Atakan; Brandic, Ivona.
in: IEEE Transactions on Parallel and Distributed Systems, Band 32, Nr. 7, 9303420, 01.07.2021, S. 1578-1590.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Staleness Control for Edge Data Analytics. / Aral, Atakan; Erol-Kantarci, Melike; Brandić, Ivona.
SIGMETRICS Performance’20: Abstracts of the 2020 SIGMETRICS/Performance. New York: ACM, 2020. S. 19-20.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Reliability Management for Blockchain-Based Decentralized Multi-Cloud. / Aral, Atakan; Uriarte, Rafael Brundo; Simonet-Boulogne, Anthony et al.
Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020. Hrsg. / Laurent Lefevre; Carlos A. Varela; George Pallis; Adel N. Toosi; Omer Rana; Rajkumar Buyya. Institute of Electrical and Electronics Engineers Inc., 2020. S. 21-30 9139618.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Simulators and emulators for edge computing. / Aral, Atakan; De Maio, Vincenzo.
Edge Computing. Institution of Engineering and Technology, 2020. S. 291-311.
Veröffentlichungen: Beitrag in Buch › Beitrag in Buch/Sammelband › Peer Reviewed
Projekte
Symbolische Zeitanalyse asynchroner Schaltungen
Resilienter Betrieb kritischer Infrastrukturen
Nachhaltige Wasserwirtschaft duch IoT-gesteurte KI
Vorträge
Keynote Address: Scaling Brain-Inspired Edge Computing
Sustainable Neuromorphic Edge Computing
Sustainable IoT Technologies for Real-Time Environmental Sensing
Neuromorphic Edge: Towards Brain-Inspired Computing Near the Data
Panelist: Shared Paths to Innovative Research
Sustainable IoT and Edge AI for Remote Monitoring
Digitalization and Sustainability Aspects of Environmental Monitoring
Future Directions in Edge Computing Systems (Panel)
Neuromorphic Edge Computing for Environmental Intelligence
Success Story in Open Science
From Junior to Senior, Traps and Tips
Edge Intelligence for Rural Environmental Monitoring
Scientific Computing
Sustainable Environmental Monitoring
A Computational Approach Towards Early Detection of Micropollutants in Rivers
Fog Computing for Industrial IoT
Edge intelligence for Environmental Monitoring and Protection
Reliability Management for Blockchain-Based Decentralized Multi-Cloud
Sustainable Watershed Management Through IoT-Driven Artificial Intelligence
Info
Sprechstunden:
By appointment
Weiter zu: Leitung & Team | Personensuche | Home