Publications / AI Foundations and systems

AI Foundations and systems

Peer-reviewed research from QCAI, published in leading international venues.

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2026

5 publications
AI Foundational Optimizations2026

Rapid disaster damage assessment using deep adversarial sliced Wasserstein domain adaptation

Fatma AlNaimi, Abdulaziz Al-Homaid, Ferda Ofli, Abdelkader BaggagNeural Computing and Applications (2026)
DOI
AI Foundational Optimizations2026

Particles Don’t Care About Z: Towards Scaling Entropy Estimation of Unnormalized Densities

Safa Messaoud, Skander Charni, Elaa Bouazza, Ali Pourghasemi, Halima BensmailICML (2026)
AI Foundational Optimizations2026

ISilDR: Isometric Seriation-based Dimensionality Reduction for Visual Cluster Analysis

Rene Cutura, Sophie Sadler, Quynh Quang Ngo, Michaël Aupetit, Michael SedlmairIEEE Transactions on Visualization and Computer Graphics (2026)
DOI
Fanar GenAI Platform2026

FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models

Masoomali Fatehkia, Enes Altinisik, Husrev Taha SencarEACL (2026)
DOI
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)
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2025

9 publications
AI Foundational Optimizations2025

Uncertainty-Aware LLMs Fail to Flag Misleading Contexts

Tianyi Zhou, Johanne Medina, Sanjay ChawlaNeurIPS 2025 – Reliable ML Workshop (2025)
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AI Foundational Optimizations2025

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay ChawlaICML (2025)
AI Foundational Optimizations2025

Deep learning, transformers and graph neural networks: a linear algebra perspective

Abdelkader Baggag, Yousef SaadNumerical Algorithms (2025)
DOI
AI Foundational Optimizations2025

Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections

Hyeon Jeon, Michael Aupetit, Soohyun Lee, Kwon Ko, Youngtaek Kim, Ghulam Jilani QuadriIEEE Transactions on Visualization and Computer Graphics (2025)
DOI
AI Foundational Optimizations2025

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models

Tianyi Zhou, Johanne Medina, Sanjay Chawla Proceedings of the AAAI Conference on Artificial IntelligenceProceedings of the AAAI Conference on Artificial Intelligence (2025)
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AI Foundational Optimizations2025

ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters

Mustafa Coşkun, Abdelkader Baggag, Mehmet KoyutürkProceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2025)
DOI
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 RuanarXiv preprint arXiv:2504.20047 (2025)
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AI Foundational Optimizations2025

Measuring the Validity of Clustering Validation Datasets

Hyeon Jeon, Michael Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook SeoIEEE Transaction on Pattern Analysis and Machine Intelligence (2025)
DOI
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 RuanarXiv preprint arXiv:2501.13944 (2025)
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2024

3 publications
AI & Data Discovery2024

RetClean: Retrieval-Based Data Cleaning Using LLMs and DataLakes

Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mohamed Y Eltabakh, Mourad Ouzzani, Nan TangProceedings of the VLDB Endowment (2024)
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AI Foundational Optimizations2024

S²AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay ChawlaICLR (2024)
AI Foundational Optimizations2024

A pragmatic perspective on AI transparency at workplace

Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed ElmagarmidAI and Ethics (2024)
DOI

2023

2 publications
AI Foundational Optimizations2023

Classes are Not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction

Hyeon Jeon, Yun-Hsin Kuo, Michael Aupetit, Kwan-Liu Ma, Jinwook SeoIEEE Transactions on Visualization and Computer Graphics (2023)
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AI & Data Discovery2023

Cross Modal Data Discovery over Structured and Unstructured Data Lakes

Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed Elmagarmid, Mohammad Shahmeer AhmadProceedings of the VLDB Endowment (2023)
DOI

2021

1 publications
AI & Data Discovery2021

RPT: relational pre-trained transformer is almost all you need towards democratizing data preparation

Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad OuzzaniProceedings of the VLDB Endowment (2021)
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120 of 26 publications