Ass.-Prof. Dott. mag. Dr. Atakan Aral
1090 Wien
Room : 6.39
Courses
Winter term 2026
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052500 VU Distributed Systems Engineering
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
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059910 VU Sustainability in Computer Science
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500500 SE Doctoral Research Seminar - Algorithms and Computing
Summer term 2026
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052500 VU Distributed Systems Engineering
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
Winter term 2025
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052500 VU Distributed Systems Engineering
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052511 VU Cloud Computing
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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053049 SE Master Seminar
Publications
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. p. 1-6.
Publications: Contribution to book › Contribution to proceedings › 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.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Roadmap for edge AI: a Dagstuhl perspective. / Ding, Aaron Yi; Peltonen, Ella; Meuser, Tobias et al.
In: Computer Communications Review, Vol. 52, No. 1, 01.01.2022, p. 28-33.
Publications: Contribution to journal › Article › 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. p. 189-194.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
The Many Faces of Edge Intelligence. / Peltonen, Ella; Ahmad, Ijaz; Aral, Atakan et al.
In: IEEE Access, Vol. 10, 2022, p. 104769-104782.
Publications: Contribution to journal › Article › 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, Vol. 9, No. 14, 01.12.2021, p. 11685-11698.
Publications: Contribution to journal › Article › Peer Reviewed
Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services. / Aral, Atakan; Brandic, Ivona.
In: IEEE Transactions on Parallel and Distributed Systems, Vol. 32, No. 7, 9303420, 01.07.2021, p. 1578-1590.
Publications: Contribution to journal › Article › 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. p. 19-20.
Publications: Contribution to book › Contribution to proceedings › 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. ed. / Laurent Lefevre; Carlos A. Varela; George Pallis; Adel N. Toosi; Omer Rana; Rajkumar Buyya. Institute of Electrical and Electronics Engineers Inc., 2020. p. 21-30 9139618.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Simulators and emulators for edge computing. / Aral, Atakan; De Maio, Vincenzo.
Edge Computing. Institution of Engineering and Technology, 2020. p. 291-311.
Publications: Contribution to book › Chapter › Peer Reviewed
EFPO: Energy efficient and failure predictive edge offloading. / Zilic, Josip; Aral, Atakan; Brandic, Ivona.
UCC 2019 - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. Association for Computing Machinery, Inc, 2019. p. 165-175.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Addressing Application Latency Requirements through Edge Scheduling. / Aral, Atakan; Brandic, Ivona; Uriarte, Rafael Brundo et al.
In: Journal of Grid Computing, Vol. 17, No. 4, 01.12.2019, p. 677-698.
Publications: Contribution to journal › Article › Peer Reviewed
Fuzzy handoff control in edge offloading. / Basic, Fani; Aral, Atakan; Brandic, Ivona.
Proceedings - 2019 IEEE International Conference on Fog Computing, ICFC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 87-96 8822044.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Towards edge benchmarking: A methodology for characterizing edge workloads. / Tocze, Klervie; Schmitt, Norbert; Brandic, Ivona et al.
Proceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 70-71 8792014.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Consistency of the fittest: Towards dynamic staleness control for edge data analytics. / Aral, Atakan; Brandic, Ivona.
Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Revised Selected Papers. ed. / Gabriele Mencagli; Dora B. Heras. Springer, 2019. p. 40-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11339 LNCS).
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Dependency mining for service resilience at the edge. / Aral, Atakan; Brandic, Ivona.
Proceedings - 2018 3rd ACM/IEEE Symposium on Edge Computing, SEC 2018. Piscataway: Institute of Electrical and Electronics Engineers Inc., 2018. p. 228-242 8567669.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
A decentralized replica placement algorithm for edge computing. / Aral, Atakan; Ovatman, Tolga.
In: IEEE Transactions on Network and Service Management, Vol. 15, No. 2, 06.2018, p. 516-529.
Publications: Contribution to journal › Article › Peer Reviewed
Scheduling latency-sensitive applications in edge computing. / Scoca, Vincenzo; Aral, Atakan; Brandic, Ivona et al.
CLOSER 2018 - Proceedings of the 8th International Conference on Cloud Computing and Services Science. ed. / Victor Mendez Munoz; Donald Ferguson; Markus Helfert; Claus Pahl. SciTePress, 2018. p. 158-168.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Quality of Service Channelling for Latency Sensitive Edge Applications. / Aral, Atakan; Brandic, Ivona.
Proceedings - 2017 IEEE 1st International Conference on Edge Computing, EDGE 2017. ed. / Andrzej M Goscinski; Min Luo. Institute of Electrical and Electronics Engineers Inc., 2017. p. 166-173 8029271.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
An overview of model checking practices on verification of PLC software. / Ovatman, Tolga; Aral, Atakan; Polat, Davut et al.
In: Software and Systems Modeling, Vol. 15, No. 4, 01.10.2016, p. 937-960.
Publications: Contribution to journal › Article › Peer Reviewed
Projects
Symbolic Timing Analysis of Asynchronous Circuits
Towards Resilient Operation of Critical Infrastructures
Sustainable Watershed Management Through IoT-Driven Artificial Intelligence
Talks
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
Hours:
By appointment