Publications / AI Foundations and systems
AI Foundations and systems
Peer-reviewed research from QCAI, published in leading international venues.
2026
5 publicationsAI Foundational Optimizations2026
Rapid disaster damage assessment using deep adversarial sliced Wasserstein domain adaptation
Fatma AlNaimi, Abdulaziz Al-Homaid, Ferda Ofli, Abdelkader Baggag — Neural Computing and Applications (2026)
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 Bensmail — ICML (2026)
AI Foundational Optimizations2026
ISilDR: Isometric Seriation-based Dimensionality Reduction for Visual Cluster Analysis
Rene Cutura, Sophie Sadler, Quynh Quang Ngo, Michaël Aupetit, Michael Sedlmair — IEEE Transactions on Visualization and Computer Graphics (2026)
Fanar GenAI Platform2026
FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models
Masoomali Fatehkia, Enes Altinisik, Husrev Taha Sencar — EACL (2026)
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)
2025
9 publicationsAI Foundational Optimizations2025
Uncertainty-Aware LLMs Fail to Flag Misleading Contexts
Tianyi Zhou, Johanne Medina, Sanjay Chawla — NeurIPS 2025 – Reliable ML Workshop (2025)
AI Foundational Optimizations2025
Explaining the role of Intrinsic Dimensionality in Adversarial Training
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla — ICML (2025)
AI Foundational Optimizations2025
Deep learning, transformers and graph neural networks: a linear algebra perspective
Abdelkader Baggag, Yousef Saad — Numerical Algorithms (2025)
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 Quadri — IEEE Transactions on Visualization and Computer Graphics (2025)
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 Intelligence — Proceedings of the AAAI Conference on Artificial Intelligence (2025)
AI Foundational Optimizations2025
ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters
Mustafa Coşkun, Abdelkader Baggag, Mehmet Koyutürk — Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2025)
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)
AI Foundational Optimizations2025
Measuring the Validity of Clustering Validation Datasets
Hyeon Jeon, Michael Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo — IEEE Transaction on Pattern Analysis and Machine Intelligence (2025)
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)
2024
3 publicationsAI & Data Discovery2024
RetClean: Retrieval-Based Data Cleaning Using LLMs and DataLakes
Zan Ahmad Naeem, Mohammad Shahmeer Ahmad, Mohamed Y Eltabakh, Mourad Ouzzani, Nan Tang — Proceedings of the VLDB Endowment (2024)
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 Chawla — ICLR (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 Elmagarmid — AI and Ethics (2024)
2023
2 publicationsAI Foundational Optimizations2023
Classes are Not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction
Hyeon Jeon, Yun-Hsin Kuo, Michael Aupetit, Kwan-Liu Ma, Jinwook Seo — IEEE Transactions on Visualization and Computer Graphics (2023)
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)
2021
1 publicationsAI & 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 Ouzzani — Proceedings of the VLDB Endowment (2021)
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