Abolfazl Younesi

According to our database, Abolfazl Younesi authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MOSAIC: Mobility-Oriented Scheduling and Intelligent Resource Allocation for IoT.

Abolfazl Younesi, Mehrab Toghani, Sepideh Safari, Mohsen Ansari, Thomas Fahringer

IEEE Trans. Mob. Comput., May, 2026

EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms.

Abolfazl Younesi, Nouhaila Innan, Alberto Marchisio, Muhammad Shafique

CoRR, May, 2026

Pulse: Multi-objective scheduling of service-based applications in multi-cluster cloud-edge-IoT infrastructures.

Marlon Etheredge, Juan Aznar-Poveda, Stefan Pedratscher, Abolfazl Younesi, Thomas Fahringer

J. Netw. Comput. Appl., 2026

SIREN: Multiobjective Game-Theoretic Scheduler Based on Memory-Driven Gray Wolf Optimization in Fog-Cloud Computing.

Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali, MohammadAmin Fazli, Muhammad Shafique, Jörg Henkel

IEEE Internet Things J., 2026

HealthCare 5.0: An industry 5.0 perspective for next-generation medical systems with synergistic integration of IoT, AI, and 6G.

Abolfazl Younesi, Elyas Oustad, Mohsen Ansari, Thomas Fahringer, Rajkumar Buyya

Internet Things, 2026

2025

AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines.

Abolfazl Younesi, Zahra Najafabadi Samani, Thomas Fahringer

CoRR, October, 2025

MoTiCPS: Energy Optimization on Multi-Objective Task Scheduling in IoT-Integrated Cyber-Physical Systems.

Abolfazl Younesi, Elyas Oustad, Mohammad Abolnejadian, Mohsen Ansari, Alireza Ejlali

IEEE Trans. Sustain. Comput., 2025

DIST: Distributed Learning-Based Energy-Efficient and Reliable Task Scheduling and Resource Allocation in Fog Computing.

Elyas Oustad, Abolfazl Younesi, Mohsen Ansari, Sepideh Safari, Mohammad Arman Soleimani, Jörg Henkel, Alireza Ejlali

IEEE Trans. Serv. Comput., 2025

STREAMLINE: Dynamic and Resource-Efficient Auto-Tuning of Stream Processing Data Pipeline Ensembles.

Stefan Pedratscher, Zahra Najafabadi Samani, Juan Aznar-Poveda, Thomas Fahringer, Marlon Etheredge, Abolfazl Younesi, Juan Jose Durillo Barrionuevo, Peter Thoman

Internet Things, 2025

Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL.

Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, Thomas Fahringer

Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025

FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud-Edge Continuum.

Juan Aznar-Poveda, Stefan Pedratscher, Peter Burger, Abolfazl Younesi, Marlon Etheredge, Zahra Najafabadi Samani, Peter Thoman, Thomas Fahringer

Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025

ARGENT: Energy-Aware Scheduling in Edge Computing Using Energy Valley Optimizer.

Mehrab Toghani, Sareh Maleki, Abolfazl Younesi, Sepideh Safari, Shaahin Hessabi

Proceedings of the 29th International Computer Conference, Computer Society of Iran, 2025

QIGA: Quantum-Inspired Genetic Algorithm for Dynamic Scheduling in Mobile Edge Computing.

Sadra Galavani, Abolfazl Younesi, Mohsen Ansari

Proceedings of the 29th International Computer Conference, Computer Society of Iran, 2025

2024

A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks.

Abolfazl Younesi, MohammadAmin Fazli, Alireza Ejlali

J. Grid Comput., December, 2024

GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing.

Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali, MohammadAmin Fazli, Muhammad Shafique, Jörg Henkel

CoRR, 2024

Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends".

Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel

IEEE Access, 2024

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends.

Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel

IEEE Access, 2024

2023

A transfer learning approach with convolutional neural network for Face Mask Detection.

Abolfazl Younesi, Reza Afrouzian, Yousef Seyfari

CoRR, 2023