---
title: "Ahmed Khamis — author profile and papers · Semitic languages"
description: "Ahmed Khamis, Georgia Institute of Technology: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/ahmed-khamis/"
---
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# Ahmed Khamis

Ahmed Khamis has 3 papers in our library, in 2026, most of them on [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5130370905) · [**h-index 0**](https://openalex.org/authors/A5130370905) · [5 works](https://openalex.org/works?filter=author.id:A5130370905) · [0 citations](https://openalex.org/works?filter=author.id:A5130370905&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ahmed-khamis/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/ahmed-khamis/cited-by/) · [⭐ Paper Stars ranking: #11359](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11359)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ahmed+Khamis) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ahmed+Khamis) · [dblp](https://dblp.org/search?q=Ahmed+Khamis) · [ACL Anthology](https://aclanthology.org/search/?q=Ahmed+Khamis)

## Affiliations

[🎓**Georgia Institute of Technology** Atlanta · United States 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 4 Research subjects and languages the work is about.[Semitic languages · 3 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ahmed-khamis/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models](https://md.research.elamur.ai/free/en/papers/khamis-2026-llm-speech-synthetic-data-pipeline/)** *(2026 · 1 citation)* Egyptian Arabic is the most widely understood Arabic dialect, yet it has few speech-synthesis resources. Most Arabic TTS work targets MSA or Gulf varieties. The authors build NileTTS, a 38-hour Egyptian Arabic TTS corpus, without recording any human speakers. Their pipeline has four stages:
2. **[GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification](https://md.research.elamur.ai/free/en/papers/khamis-2026-gatech-abjadgeneval-shared-task-multilingual/)** *(2026)* The paper describes a system for the AbjadGenEval shared task, which asks whether an Arabic text was written by a person or produced by an AI model.
3. **[GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical Classification](https://md.research.elamur.ai/free/en/papers/khamis-2026-gatech-abjadmed-bidirectional-encoders-vs/)** *(2026)* The paper describes a system for the AbjadMed shared task. The task is to sort Arabic medical questions into 82 categories. The class distribution is heavily skewed, and some gold labels are inconsistent. The author fine-tunes AraBERTv2 with a custom classification head that joins mean-pooled and attention-pooled…

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/) ×3: [Workshop on NLP for Languages Using Arabic Script 2026](https://md.research.elamur.ai/free/en/venues/abjadnlp/2026/) ×3

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/ahmed-khamis/cited-by/).

Updated 1 November 2026
