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ORCIDAbolfazl Younesi
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2020 – today
- 2026
[j8]Abolfazl Younesi
, Elyas Oustad, Mohsen Ansari, Thomas Fahringer, Rajkumar Buyya:
HealthCare 5.0: An industry 5.0 perspective for next-generation medical systems with synergistic integration of IoT, AI, and 6G. Internet Things 35: 101815 (2026)- [j7]Marlon Etheredge, Juan Aznar-Poveda, Stefan Pedratscher, Abolfazl Younesi, Thomas Fahringer:
Pulse: Multi-objective scheduling of service-based applications in multi-cluster cloud-edge-IoT infrastructures. J. Netw. Comput. Appl. 248: 104439 (2026) - 2025
- [j6]Stefan Pedratscher, Zahra Najafabadi Samani, Juan Aznar-Poveda, Thomas Fahringer, Marlon Etheredge, Abolfazl Younesi, Juan Jose Durillo Barrionuevo, Peter Thoman:
STREAMLINE: Dynamic and Resource-Efficient Auto-Tuning of Stream Processing Data Pipeline Ensembles. Internet Things 34: 101731 (2025) - [j5]Elyas Oustad, Abolfazl Younesi, Mohsen Ansari, Sepideh Safari, Mohammad Arman Soleimani, Jörg Henkel, Alireza Ejlali:
DIST: Distributed Learning-Based Energy-Efficient and Reliable Task Scheduling and Resource Allocation in Fog Computing. IEEE Trans. Serv. Comput. 18(3): 1336-1351 (2025) - [j4]Abolfazl Younesi, Elyas Oustad, Mohammad Abolnejadian, Mohsen Ansari, Alireza Ejlali:
MoTiCPS: Energy Optimization on Multi-Objective Task Scheduling in IoT-Integrated Cyber-Physical Systems. IEEE Trans. Sustain. Comput. 10(4): 744-755 (2025) - [c4]Sadra Galavani, Abolfazl Younesi, Mohsen Ansari:
QIGA: Quantum-Inspired Genetic Algorithm for Dynamic Scheduling in Mobile Edge Computing. CSICC 2025: 1-5 - [c3]Mehrab Toghani, Sareh Maleki, Abolfazl Younesi, Sepideh Safari, Shaahin Hessabi:
ARGENT: Energy-Aware Scheduling in Edge Computing Using Energy Valley Optimizer. CSICC 2025: 1-6 - [c2]Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, Thomas Fahringer:
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL. UCC 2025: 12:1-12:11 - [c1]Juan Aznar-Poveda, Stefan Pedratscher, Peter Burger, Abolfazl Younesi, Marlon Etheredge, Zahra Najafabadi Samani, Peter Thoman, Thomas Fahringer:
FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud-Edge Continuum. UCC 2025: 46:1-46:6 - [i6]Abolfazl Younesi, Zahra Najafabadi Samani, Thomas Fahringer:
AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines. CoRR abs/2510.23408 (2025) - [i5]Abolfazl Younesi, Leon Kiss, Zahra Najafabadi Samani, Juan Aznar-Poveda, Thomas Fahringer:
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning. CoRR abs/2511.14715 (2025) - [i4]Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, Thomas Fahringer:
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL. CoRR abs/2512.23310 (2025) - 2024
- [j3]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. IEEE Access 12: 41180-41218 (2024) - [j2]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". IEEE Access 12: 112180 (2024) - [j1]Abolfazl Younesi, MohammadAmin Fazli, Alireza Ejlali:
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks. J. Grid Comput. 22(4): 69 (2024) - [i3]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. CoRR abs/2402.15490 (2024) - [i2]Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali, MohammadAmin Fazli, Muhammad Shafique, Jörg Henkel:
GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing. CoRR abs/2412.11310 (2024) - 2023
- [i1]Abolfazl Younesi, Reza Afrouzian, Yousef Seyfari:
A transfer learning approach with convolutional neural network for Face Mask Detection. CoRR abs/2310.18928 (2023)
Coauthor Index
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