Visual Analytics of Wearable Data to Improve Health and Wellness
Diabetes and obesity are major health issues in Qatar (Qatar National Vision 2030). We designed InViTAG, a visual analytic platform to support healthcare professionals in improving the health and wellness of patients with diabetes or obesity based on wearable and biometric data. Based on user feedback from previous studies, the present project aims to finalize […]
Safe reinforcement learning
We have two projects related to safe reinforcement learning:
Augmented Intelligence using for Data Preparation
Transformer-based models (e.g., BERT, RoBERTa, XLNet) and giant language models (e.g., GPT-3 and T0pp) have a good potential to learn knowledge from multi-modal data, such as text, tables, and so on. This learned knowledge, if being used appropriately, can significantly help practitioners reduce human cost in terms of laborious data preparation tasks. This project aims […]
Augmented Intelligence for Personalized Patient Lifestyle Improvement based on Wearable Data
Health is one of the pillars of Qatar National Vision 2030. Qatar Foundation has recently restated these objectives as “individualized healthcare and disease prevention driven by emerging research, clinical approach, environment, and lifestyle”. Diabetes and obesity are significant health problems globally and are particularly prevalent in Qatar. These serious conditions are driven by lifestyle factors […]
Artificial Intelligence for Satellite Imagery (AI4SAT)
QCAI has a number of projects using satellite imagery analysis for different tasks such as road network inference, crash risk maps, internal displacement monitoring, flood extent and vulnerability mapping, among others. This project aims to combine these individual projects in a unified framework and build customized solutions for potential end users. To this end, we […]
Monitoring Attacks on Education on Social Media
Attacks on education, students, teachers and schools have intensified in recent years. Traditional methods miss many instances of education insecurities. The Education Above All (EAA) Foundation aims to develop a Global Data Service to host data on violations against the right to education and attacks on education. We aim to assist EAA with incidents reported […]
Landslide Detection through Social Media Image Streams
Landslides occur all around the world and cause thousands of deaths and billions of dollars in infrastructural damage worldwide every year. Satellite-based landslide detection introduces data latency ranging from several hours to days. We use social sensing imagery data from Twitter to identify landslide reports in real-time. Together with our stakeholders (BGS and EMSC), we […]
Disaster Object Detection and Damage Assessment
In the aftermath of a large-scale disaster, it is important to assess the impacted area to identify damaged infrastructure such as roads, buildings, power lines. Social media can play an important role in current-day disaster management. Images shared from the disaster areas may include objects relevant to various response operations. If these objects are identified […]
Flood Extent Mapping and Vulnerability Assessment
Rapid flood extent mapping is an important task for planning response and relief operations. Moreover, vulnerability assessment of a geographical area or a population segment helps humanitarian organizations take timely and informed decisions. In this consortium project funded by QNRF, we aim to leverage two types of non-traditional data sources i.e., satellite and social media […]
Multi-omics analysis of cardiovascular diseases
The aim of the project is to study cardiovascular diseases using multi-omics data. Methodology involves simple statistical models to study each omics component, and then more sophisticated ML models will be used for combining all omics data.