Nokia Bell Labs · Murray Hill, NJ
Matin
Mortaheb
Research Scientist
Nokia Bell Labs
Working at the intersection of video coding, semantic communication, and 6G wireless networks. Designing intelligent compression and transmission systems for the next generation of mobile communication.
10+
Publications
6G
Focus Area
Ph.D
UMD ECE
Latest Updates
News
Sep 2025 — Present
Joined Nokia Bell Labs as a Research Scientist, working on video coding and semantic communication for 6G systems.
Oct 2025
Paper "Multi-modal semantic communication" accepted to IEEE Asilomar 2025.
Jul 2025
Paper "Re-ranking the context for multimodal retrieval augmented generation" accepted to SIGIR 2025.
May 2025
Paper "Efficient semantic communication through transformer-aided compression" accepted to IEEE ICMLCN 2025.
Mar 2025
Paper "Rag-check: Evaluating multimodal retrieval augmented generation performance" accepted to AAAI Workshop 2025.
Mar 2025
Paper "Age of gossip in networks with multiple views of a source" accepted to IEEE WCNC 2025.
Sep 2024
Paper "r age-k: Communication-efficient federated learning using age factor" accepted to IEEE Asilomar 2024.
Sep 2024
Paper "Transformer-aided semantic communications" accepted to IEEE Asilomar 2024.
Jun 2024
Paper "Deep learning-based real-time quality control of standard video compression for live streaming" accepted to IEEE ICC 2024.
May 2024
Paper "Deep learning-based real-time rate control for live streaming on wireless networks" accepted to IEEE ICMLCN 2024.
Sep 2023
Paper "Semantic Multi-Resolution Communications" accepted to IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia.
Jan 2023
Paper "Personalized decentralized multi-task learning over dynamic communication graph" accepted to IEEE CISS 2023.
Oct 2022
Paper "Hierarchical over-the-air FedGradNorm" accepted to IEEE Asilomar 2022.
What I Work On
Research Interests
6G · Video Systems
Video Coding for Wireless Networks
Designing deep learning–based video compression and rate control systems for live streaming over wireless channels, achieving 10–20 dB PSNR improvements over state-of-the-art ABR streaming.
6G · JSCC
Semantic Communication
Developing end-to-end joint source-channel coding (JSCC) frameworks that transmit semantic meaning rather than raw bits — enabling multi-resolution, multi-user, and task-oriented communication.
AI · Wireless
Transformer-Aided Communications
Integrating transformer architectures into wireless communication pipelines to capture long-range dependencies in channel estimation and semantic encoding tasks.
FL · MTL
Personalized Federated Learning
Addressing statistical heterogeneity in federated multi-task learning using dynamic gradient normalization, task correlation graphs, and over-the-air aggregation over fading channels.
5G · 6G
Massive MIMO & Random Access
Proposed novel beamforming-based random access protocols for massive MIMO systems that maximize admitted users while enhancing SINR in multi-user transmission.
Nokia Bell Labs
Current Work at Bell Labs
Research scientist at Nokia Bell Labs developing next-generation video coding algorithms and semantic communication protocols that will underpin 6G network architectures.
Peer-Reviewed Work
Publications
2024
Submitted
Submitted
IEEE GLOBECOM
2024
2023
IEEE GLOBECOM
2022
IEEE Asilomar
2022
2022
Career
Experience & Education
Nokia Bell Labs
2024 — Present
Research Scientist
Conducting research on next-generation video coding systems and semantic communication protocols designed for 6G wireless infrastructure. Developing AI-driven compression and transmission frameworks that enable intelligent, meaning-aware communications.
University of Maryland
2019 — 2024
Ph.D. Candidate, Electrical & Computer Engineering
Doctoral research under supervision of Prof. Sennur Ulukus. Focused on semantic communication, JSCC, federated learning, multi-task learning, and deep learning for video streaming over wireless networks.
Get in Touch
Let's Connect
I'm always open to discussing research collaborations, opportunities in wireless communication, video coding, and 6G systems, or simply exchanging ideas about the future of intelligent communications.
Nokia Bell Labs, Murray Hill, NJ, USA