Anthony Constantinou is an assistant professor in the area of machine learning and mining at the Queen Mary University of London. He also serves as the Bayesian Artificial Intelligence for Decision Making under Uncertainty. Dr. Anthony Constantinou received a fully funded scholarship from the Engineering and Physical Sciences Research Council to attend the Queen Mary University of London, where he earned his Doctor of Philosophy (Ph.D.). Furthermore, Dr. Constantinou received a Master of Science (MSc), Artificial Intelligence with Robotics and Bachelor of Science (BS) in Computer Science, specializing in Artificial Intelligence from the University of Hertfordshire.
Dr. Constantinou has over a decade of experience working in Bayesian networks for prediction, risk assessment, and decision making, with a lengthy list of awards and publications that showcase his work. Bayesian Networks are a type of statistical model that uses a probability framework to determine the relationship between a set of variables and their conditional dependencies and are most appropriate when researchers lack data but can use real-world facts.
In one of Dr. Constantinou’s recent articles, “Things to know about Bayesian Networks: Decisions Under Uncertainty, Part 2”, co-published with Norman Fenton, the authors discuss how Bayesian networks work and are built and provide tips on how to avoid certain pitfalls along the way.
Currently, Dr. Constantinou is offering scholars an opportunity to work in the area of Bayesian Networks. Individuals can receive a Ph.D. from the Queen Mary University of London in The Ph.D. specializing in the theory and application of Bayesian Networks/Bayesian Decision Network, with a focus on structure learning. The student will work on the project, Bayesian Artificial Intelligence Making Under Uncertainty from the Queen Mary University of London while obtaining their degree. Visit His Page on LinkedIn to learn more about Constantinou.
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