MLDAS 2026 – Successful Symposium on Safe & Sustainable AI
The 9th edition of the Machine Learning and Data Analytics Symposium (MLDAS) took place on February 8–9 at Carnegie Mellon University in Qatar, co-organized by Qatar Computing Research Institute and Boeing ✈️ This year’s theme was Safe and Sustainable AI, and brought together nine keynote speakers including Eric Feron (KAUST (King Abdullah University of Science […]
Examining Student Teachers’ Agency in an AI-Supported Learning Environment: Q Methodology Research
Youmen Chaaban, Soon-Gyo Jung, Johanne Medina, Jinan Y. Azem, Joni Salminen & Bernard J. Jansen
International Journal of Artificial Intelligence in Education (2025)
Cipherbot: An AI-Powered Educational Assistant for Conversational Q&A About Course Material
Jinan Azem , Soon-Gyo Jung , Johanne Medina , Kholoud K. Aldous , Joni Salminen , Bernard J Jansen
International Conference on Foundation and Large Language Models (FLLM) (2025)
Investigating the Usability of an Educational AI Chatbot by Middle School Teachers and Students for Enhanced Learning
Kholoud Khalil Aldous , Joni Salminen , Soon-gyo Jung , Jinan Y. Azem , Johanne Medina , Salar M. Khan , Amani Alabed , Bernard J. Jansen
International Conference on Foundation and Large Language Models (FLLM) (2025)
Deployable Code for Early Prediabetes Detection: The PRISQ Model
Leveraging data from the Qatar Biobank, we have created and validated a deployable algorithm for prediabetes screening. The PRISQ model’s code takes basic health metrics as input and outputs a clear risk category (Low, Moderate, High). This allows for seamless integration into digital health platforms, electronic health records, and public screening tools, providing a cost-effective, […]
OutSingle
A Python tool for finding outliers in RNA-Seq gene expression count data using SVD/OHT OutSingle has been tested on Windows (11). Note that OutSingle is still in alpha stage, so encountering bugs while running it is expected. If you use OutSingle in your research you can cite our paper:Edin Salkovic, Mohammad Amin Sadeghi, Abdelkader Baggag, […]
BigQUIC: Big Quadratic Inverse Covariance Estimation
Use Newton’s method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem. https://cran.r-project.org/web/packages/BigQuic/index.html
COUSCOus
Motivation: Current methods for predicting protein residue contacts are valuable but incomplete and do not fully agree. We developed a new method, COUSCOus, that combines advanced statistical techniques to improve accuracy. Our method consistently outperforms the established PSICOV tool across multiple benchmarks and independent tests. This demonstrates that superior statistical approaches can significantly advance protein […]
Deepsol
MotivationProtein solubility plays a vital role in pharmaceutical research and production yield. For a given protein, the extent of its solubility can represent the quality of its function, and is ultimately defined by its sequence. Thus, it is imperative to develop novel, highly accurate in silico sequence-based protein solubility predictors. ModelIn this work we propose, […]
DeepCrystal
MotivationQCRI deep learning models for crystallization propensity prediction, DeepCrystal and B, BCrystal is ready to compute. How to get started?Perform the following steps to signup:1. Navigate to the Sign Up tab in the top navigation bar.2. Fill in your details and press register, a registration confirmation mail will be sent, you will need to click […]