Dr. Ahmed Elmagarmid
QCAI · People

Dr. Ahmed Elmagarmid

Executive Director, Qatar Computing Research Institute (QCRI)

Dr. Ahmed K. Elmagarmid founded the Qatar Computing Research Institute in 2010 and has served as its Executive Director since. Prior to joining Qatar Foundation, Dr. Elmagarmid served as a chief scientist in Hewlett-Packard and Professor of Computer Science at Purdue University.

Selected publications

Fanar GenAI Platform2026

Fanar 2.0: Arabic Generative AI Stack

FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, Minhaj Ahmad, Abdulaziz Al-Homaid, Anas Al-Nuaimi, Enes Altinisik, Ehsaneddin Asgari, Sanjay Chawla, Shammur Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed Elfeky, Ahmed Elmagarmid, Mohamed Eltabakh, Asim Ersoy, Masoomali Fatehkia, Mohammed Qusay Hashim, Majd Hawasly, Mohamed Hefeeda, Mus’ab Husaini, Keivin Isufaj, Soon-Gyo Jung, Houssam Lachemat, Ji Kim Lucas, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Mourad Ouzzani, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang arXiv:2603.16397 (2026)
View
AI & Data Discovery2025

HCT-QA: A Benchmark for Question Answering on Human-Centric Tables

Mohammad Shahmeer Ahmad, Zan A Naeem, Michael Aupetit, Ahmed Elmagarmid, Mohamed Eltabakh, Xiasong Ma, Mourad Ouzzani, Chaoyi Ruan — arXiv preprint arXiv:2504.20047 (2025)
View
Fanar GenAI Platform2025

Fanar: An Arabic-Centric Multimodal Generative AI Platform

Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, Enes Altinisik, Ehsannedin Asgari, Yazan Boshmaf, Sabri Boughorbel, Sanjay Chawla, Shammur Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed Elfeky, Ahmed Elmagarmid, Mohamed Eltabakh, Masoomali Fatehkia, Anastasios Fragkopoulos, Maram Hasanain, Majd Hawasly, Mus’ab Husaini, Soon-Gyo Jung, Ji Kim Lucas, Walid Magdy, Safa Messaoud, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Zan Naeem, Mourad Ouzzani, Dorde Popovic, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang, Ahmed Ali, Yassine El Kheir, Xiaosong Ma, Chaoyi Ruan — arXiv preprint arXiv:2501.13944 (2025)
View
AI Foundational Optimizations2024

A pragmatic perspective on AI transparency at workplace

Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed Elmagarmid — AI and Ethics (2024)
DOI
AI & Data Discovery2023

Cross Modal Data Discovery over Structured and Unstructured Data Lakes

Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed Elmagarmid, Mohammad Shahmeer Ahmad — Proceedings of the VLDB Endowment (2023)
DOI
1–5 of 6 publications

Tools

Fanar

Fanar

Fanar is an Arabic AI Large Language Model developed by the Qatar Computing Research Institute at Hamad Bin Khalifa University, a member of Qatar Foundation for Education, Science, and Community Development. It is sponsored by the Qatari government through the Ministry of Communications and Information Technology. Fanar bridges Arabic language and culture with the latest advancements in AI, aligning with Qatar National Vision 2030 and the objectives of the Digital Agenda 2030.

Fanar GenAI Platform

Connections

ResearchToolsPublications
Dr. Ahmed ElmagarmidAI & Data DiscoveryFanar GenAI PlatformFanarFanar 2.0: Arabic Gen…HCT-QA: A Benchmark f…Fanar: An Arabic-Cent…A pragmatic perspecti…Cross Modal Data Disc…Rayyan—a web and mobi…