Portrait of Mohammad Farhoudi

Mohammad Farhoudi

Doctoral Researcher, Centre for Wireless Communications (CWC), University of Oulu

I am a PhD candidate researching next-generation mobile systems, with emphasis on 6G/NTN, edge-cloud continuum orchestration, and AI-enabled optimization. My work combines optimization models and deep reinforcement learning to improve service efficiency, reliability, and latency in dynamic wireless environments.

Academic Profile

I combine academic research with long-term engineering practice to build robust, deployable solutions for next-generation communication systems.

Location Oulu, Finland
Current Role Doctoral Researcher (since Dec 2022)
Research Group 6G Flagship, CWC, University of Oulu

Research Snapshot

Research Focus Distribution

AI/DRL for Networking35%
Edge-Cloud Orchestration30%
6G/NTN Systems25%
Service Discovery/Composition10%

Academic Highlights

2022-Present Doctoral research period
2018-2020 Network Researcher
2014-2017 Master of Science
2008-2013 Bachelor

Research Interests

My research addresses intelligent service orchestration in next-generation wireless systems, with strong emphasis on practical algorithms and system-level performance in dynamic conditions.

6G and Non-Terrestrial Networks

Aerial-terrestrial architecture design, NTN integration, and heterogeneous access optimization for high-demand mobile applications.

Edge-Cloud Continuum Systems

Joint service placement and resource allocation across distributed edge and cloud domains for low-latency service delivery.

AI-Driven Network Orchestration

Deep reinforcement learning and predictive modeling for adaptive orchestration under mobility, interference, and resource constraints.

Service Discovery and Composition

Scalable and semantic-aware mechanisms for service registration, selection, and composition in emerging 6G ecosystems.

Current Research Directions

Autonomous Service Ecosystems

Adaptive service discovery and composition pipelines with AI-driven orchestration and closed-loop optimization.

Personalized AI Provisioning in UAV-assisted 6G

Latency- and quality-aware service placement strategies for personalized model serving in highly dynamic scenarios.

Task-Oriented Multiple Access

Joint access control and placement decisions for generative workloads under strict communication and compute constraints.

Energy-Aware Vehicular Orchestration

Integrated optimization of trajectories, radio access, and distributed service deployment in aerial-terrestrial systems.

Publications

Filter publications by type

Energy Efficient Orchestration in Multiple-Access Vehicular Aerial-Terrestrial 6G Networks

Mohammad Farhoudi; Hamidreza Mazandarani; Masoud Shokrnezhad; Tarik Taleb; Ignacio Lacalle — IEEE Transactions on Vehicular Technology, 2026

Abstract

This work introduces a novel framework for service orchestration in UAV-assisted 6G aerial-terrestrial networks by jointly addressing UAV trajectory planning, multiple access control, and service placement to improve request acceptance, latency, and energy efficiency.

Service Registration, Indexing, Discovery, and Selection: An Architectural Survey Toward a GenAI-Driven Future

Mohammad Farhoudi; Masoud Shokrnezhad; Tarik Taleb — IEEE Access, 2025 — DOI

Abstract

The paper presents a comprehensive SRIDS survey for 6G, proposes a taxonomy of architectural models, and outlines an integrated hybrid framework that balances centralized consistency with distributed scalability, including GenAI-driven capabilities.

Discovery of 6G Services and Resources in Edge-Cloud-Continuum

Mohammad Farhoudi; Masoud Shokrnezhad; Tarik Taleb; Richard Li; JaeSeung Song — IEEE Network, 2024 — DOI

Deep Learning Based Service Composition in Integrated Aerial-Terrestrial Networks

Mohammad Farhoudi; Masoud Shokrnezhad; Somayeh Kianpisheh; Tarik Taleb — NetSoft, 2025 — DOI

QoS-aware Service Prediction and Orchestration in Cloud-Network Integrated Beyond 5G

Mohammad Farhoudi; Masoud Shokrnezhad; Tarik Taleb — GLOBECOM, 2023 — DOI

Fog Computing: A Comprehensive Architectural Survey

Pooyan Habibi; Mohammad Farhoudi; Sepehr Kazemian; Siavash Khorsandi; Alberto Leon-Garcia — IEEE Access, 2020 — DOI

News and Updates

  • Paper on energy-efficient orchestration for vehicular aerial-terrestrial 6G networks accepted in IEEE Transactions on Vehicular Technology.
  • Collaboration activities under 6G-CORE with focus on orchestration and service intelligence is ended.
  • Published SRIDS architectural survey in IEEE Access and contributed to conference results on AI-enabled service composition.

Projects and Research Collaboration

6G-CORE (2023-2025)

University of Oulu and ETRI collaboration focused on adaptable 6G architecture and service intelligence mechanisms.

6G-SANDBOX (2023-2025)

Horizon-JU initiative for modular 6G experimentation facilities supporting validation and large-scale prototyping.

6Genesis / 6G Flagship (2022-2025)

Contributions to Finland's long-term 6G roadmap through orchestration models and edge-cloud systems research.

Past technical roles include full-stack development, network research, and security systems engineering, including SDN/NFV prototypes, load-balancing optimization, and security platforms.

Teaching and Academic Activities

Instructor
  • Computer Network Laboratory, Amirkabir University of Technology (2014-2015)
  • Networking in Linux and Bash, National Linux Festival (2013-2014)
  • Deep Understanding of SDN and OpenFlow, ITIC (2019)
  • Prototyping SDN with OVS Switches, ITIC Workshops (2019)
Teaching Assistant
  • Computer Network I and II, Amirkabir University of Technology (2013-2016)
  • Operating Systems, Amirkabir University of Technology (2016)
  • High Performance Switches and Routers, Amirkabir University of Technology (2016)

Contact

For research collaborations, academic discussions, invited talks, or project partnerships, please contact me at mohammad.farhoudi@oulu.fi.