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… People Biography Home Dr. Ala Al-Fuqaha Associate Provost for Teaching and Learning Email aalfuqaha@hbku.edu.qa Dr. Ala Al-Fuqaha Associate Provost for Teaching and Learning Educational … College of Science and Engineering, Hamad Bin Khalifa University (HBKU). His research interests include the use of machine learning in general and deep learning in particular, this is in support of the data-driven and self-driven … Missouri-Columbia 1999 B.S., Computer Engineering King Fahd University of Petroleum and Minerals 1996 Research Interests Machine learning-driven smart services Data-driven and self-driven management of large-scale deployments of IoT and smart …

… team also gave me the chance to develop my teamwork and communication skills.”   During her fellowship, Ghadeer applied machine-learning techniques to improve the tagging of datasets related to education on the Humanitarian Data Exchange. Her model … people and predict their future properties. She also works with a team of scientists and engineers at QCRI exploring machine learning and graph databases. Dr. Ashraf Aboulnaga, senior research director at QCRI and Ghadeer’s advisor, said: …

… Halima Bensmail Principal Scientist Joint Professor Educational Qualifications PhD in Biostatistics MSc in Statistical Machine Learning Entity Qatar Computing Research Institute College of Science and Engineering Division Qatar Center for … Tennessee and the Virginia Medical School before joining Qatar Foundation. Halima's expertise lies in the frontiers of machine learning, bioinformatics, and computational biology, and she is also a statistician and a biostatistician. She …

… current responsibilities as a research associate at QCRI’s Social Computing department include adapting state-of-the-art machine learning techniques to two sectors; public health informatics for healthy living, and in urban dynamics. His current project involves building a machine-learning model that recommends an ideal daily lifestyle routine for individuals, based on their health data. …

… To understand the evolution and spread across different countries from this huge data source, our research leveraged machine learning techniques for the identification of representative novel coronavirus strains.  For this purpose, we analyzed … the evolutionary relationship among the strains of SARS-CoV-2 in all countries in the world. We leveraged the power of machine learning techniques to identify the most representative strain from multiple locations across the world. Based on …

… that enables the monitoring and recording of data from the field in real time. These data are then analyzed using machine learning algorithms developed by AI practitioners to provide optimal decision making.  In the HAIAT project, AIoT is used … the collected data to the QEERI Lab cloud for processing and analysis using models of plant health in conjunction with machine learning methods to create holistic models that optimize vegetable production in local indoor farms while …

… architecture and management. His particular interest lies in scientific research-oriented software development: machine/system control, algorithms, image processing and other software supporting high end machines such as healthcare modalities and microscopes. Most of his experience is derived from software development and … and healthcare modalities. In the past four years, Abbas has developed a keen interest in the area of data science: deep learning and machine learning. He has since been engaged in this field either at work or through extra-curricular …

… networks as well as dissection of key aspects of cancer biology at a more granular level. In this study, we applied a machine learning-based approach to explore population-specific molecular traits in two breast cancer datasets. Interestingly, we … rise in the amount and complexity of data obtained by next generation sequencing technology, it is anticipated that machine learning and other computational biology methods will become invaluable for cancer research.” Dr. Wouter …

… electric drives, and multi-phase converters, with a specific focus on matrix converters. He is also involved in AI and machine learning. Presently, his h-index is 19, and his i10-index is 46. Education PhD in Electrical Engineering University of … in Electrical Engineering Aligarh Muslim University, India 2006 Research Interests Power Electronics Matrix Converter Machine Learning Experience Lecturer College of Science and Engineering, Hamad Bin Khalifa University 2024 - Present …

… technology and updating MoTC maps in real-time. “The technology utilizes GPS trajectories from taxis and applies machine learning to update the map,” said Dr. Chawla. “MoTC is set to benefit from this initiative and we are looking into … that specifically cater to Qatar’s unique social composition. Utilizing deep learning methodologies -- a subset of machine learning that can infer patterns from complex data; QCAI is working on research that can unlock the …