AUB wireless researcher pivoting from mmWave/THz to semantic communications, with peak recent output
3
papers here
3
reviewed by Evolve
0
first-author
0
corresponding
—
works · OpenAlex
19
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-16) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
The output axis is unscored: beyond the recent-three-year count of 30 works, the snapshot lacks total publication counts and venue-normalized output for this record. It would measure career-wide production volume, the mix of venues, and the consistency of published output over time.
Impact—
The impact axis is unscored: per-paper citation counts, field-normalized citations, and venue-level influence are absent from the provided data; the only related raw values on record are h-index 19 and i10-index 25. It would measure the citation-based influence of the body of work.
Focus0/100
Focus scores 0, the weakest axis, reflecting dispersion rather than absence of direction. The recent field distribution splits evenly (one third each) across three semantic communications subfields — machine learning, wireless signal processing, and 6G federated learning — while the topic profile spans five clusters led by millimeter-wave propagation and modeling (40), advanced wireless communication techniques (38), technologies (24), terahertz (23), and MIMO optimization (9).
Collaboration41/100
The collaboration score is 41. Within the recent three-year window, 30 works involve 7 distinct coauthors — a compact, stable team rather than a wide network. Recurring partners include Maria Slim, Mariette Awad, Rami Eid, Karim Abdallah, Rita Abou Fares, Razan Al Kakoun, and Maher Nouiehed. On all three 2026 papers reviewed by Evolve he is the last author (not flagged corresponding), consistent with a senior supervisory role over a small group.
Activity100/100
Activity scores 100, the strongest axis. Counts by year show continuous output from 2013 (1 work) through 2026, accelerating sharply in recent years: 9 works in 2021, 8 in 2022, 7 in 2025, and 19 already indexed in 2026 — the highest annual figure in the record. With 30 works in the last three years, production is currently at a clear peak.
Reproducibility55/100
Reproducibility scores 55, based on Evolve's review of 3 papers (reproMean 55). All three 2026 arXiv papers are rated medium readiness. Verdicts are mixed: the RAG-carrier and LEAPSC papers are described as honest and well-audited, while FedGenSC reports a single run with no code release and a capacity confound — no reviewed paper yet reaches high readiness.
Research summary
Hadi Sarieddeen is a researcher at the American University of Beirut (Lebanon) working at the intersection of wireless communications and machine learning. His OpenAlex record shows an h-index of 19 and an i10-index of 25, with a topic profile anchored in millimeter-wave propagation and modeling (40 records), advanced wireless communication techniques (38), wireless communication technologies (24), terahertz technology (23), and MIMO systems optimization (9). His most recent work pivots to semantic communications: the field distribution splits evenly across semantic communications with machine learning, wireless signal processing, and 6G federated learning. Activity is the standout axis: 30 works in the last three years and 19 already indexed in 2026, the highest annual count in a record reaching back to 2013. Evolve has reviewed three 2026 arXiv papers, all with him as last author: channel-adaptive region adjacency graph carriers for semantic image communication, privacy-preserving DeepJSCC with in-loop LEACE concept erasure, and FedGenSC, a federated generative semantic communication framework reporting +58.2% relative BLEU-1 at 18 dB. All three carry a medium reproducibility readiness rating; output and impact axes remain unscored pending per-paper citation data.
Collaboration pattern
The collaboration footprint is compact: 7 distinct coauthors across 30 works in the last three years (collaboration score 41). Recurring partners — Maria Slim, Mariette Awad, Rami Eid, Karim Abdallah, Rita Abou Fares, Razan Al Kakoun, and Maher Nouiehed — suggest a stable local team. On all three Evolve-reviewed 2026 papers Sarieddeen is the last author but is not flagged as corresponding, indicating senior supervision of student-led projects rather than hands-on first-author work.
Research keywords
Highlights
Channel-Adaptive Graph Carriers for Semantic Image Communication
In-Loop Concept Erasure for Privacy-Preserving DeepJSCC
FedGenSC: Federated Generative Semantic Communication
Timeline
- 2026Last-author arXiv paper on channel-adaptive region adjacency graph carriers for semantic image communication, outperforming layout and DeepJSCC baselines on Cityscapes mIoU.
- 2026Last-author arXiv paper proposing LEAPSC, which adds in-loop LEACE concept erasure to a variational information bottleneck DeepJSCC encoder for privacy-preserving semantic communication.
- 2026Last-author arXiv paper introducing FedGenSC, a federated generative semantic communication framework with channel-aware adaptation, reporting +58.2% relative BLEU-1 at 18 dB.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometric figures come from an OpenAlex record linked to ORCID 0000-0002-3050-4256; the output and impact radar axes are unscored pending per-paper citation data.
- Evolve's qualitative verdicts cover only three 2026 arXiv papers; the earlier millimeter-wave and terahertz-era publications behind the topic counts were not individually reviewed.
- The 2026 countsByYear figure (19 works) reflects partial-year indexing and may grow.
- Recurring coauthor names come from the provided list; their affiliations and roles are not part of the data.