Anthony Constantinou And His Contribution in Bayesian Artificial Intelligence


Artificial Intelligence is a discipline Anthony Constantinou has been interested in for a long time. His experience as a lecturer, consultant, teaching assistant and decision scientist has seen him grow and improve in research science and artificial intelligence. Anthony’s career involves working on Bayesian Artificial Intelligence and insightful decision making. To get where he is, the assistant professor and head of Bayesian Artificial Intelligence at the Queen Mary University of London partners with academics and other stakeholders in his field worldwide.

Anthony Constantinou‘s career revolves around sports, economics, gaming, finance and medicine sectors. The assistant professor has worked on numerous projects and helped research for the institutions he has worked with. There are a lot of publications under Mr. Constantinou’s name, all which have been used as references for experts and Bayesian Artificial Intelligence learners. Refer to This Article to learn more.

His publication “Bayesian Artificial Intelligence for Decision Making under Uncertainty” won him an honor for the Principal Investigator on EPSRC Fellowship project. Constantinou finished second in the international special issue competition Machine learning for soccer. His PhD. thesis was nominated for the CPHC/BCS Distinguished Dissertations, He was awarded Distinction for M.Sc. and earned a full EPSRC Ph.D. Scholarship and funding.

The artificial intelligence expert has been of great assistance at the Queen Mary University of London. Those who work around him can confirm that Mr. Constantinou is passionate about Bayesian Artificial Intelligence and is always ready to work on any project available. Anthony Constantinou’s dedication has seen him rise in everything he pursues ever since he graduated with. He also has an MSc Artificial Intelligence with Robotics, with Distinction from the same institution.

Anthony Constantinou attained his field of study in Bayesian Networks for prediction, risk assessment and decision-making Ph.D. from Queen Mary, University of London. He has been honored with a couple of awards including being ranked 2nd in the international special issue competition.


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Why Anthony Constantinou Loves Bayesian AI


Anthony Constantinou may have one of the most unusual professions in the world, but he loves it. He is a Lecturer Assistant Professor and Head of Bayesian Artificial Intelligence at Queen Mary University in London, England. What in the world is Bayesian Artificial Intelligence?

This form of artificial intelligence defines the ability for decision making under the guidance of machine learning and data mining. Anthony Constantinou has been worked on a NIHR project on Bayesian networks prior to his time at Queen Mary University. This includes assessing risk, as well as assessing the risk in forensic psychiatry. This project was led at Barts and the London School of Medicine and Dentistry.

Anthony Contantinou also worked on the ERC project, which is dedicated to finding ways to improve evidence-based decision making. The goal of the project was to discover how this applies to real-world critical decision making using the Bayesian network technology. This project was completed at the school of EECS.

Anthony Constantinou has also worked as a teaching assistant to build his resume. Although he is currently working with Queen Mary University now, he worked as a teaching assistant here from October 2009 until May 2013, for a period of 3 years and 8 months. Outside of the artificial intelligence vertical, he has also worked with software risk assessment, software engineering, and procedural programming.

Adding to his history of education, Anthony Constantinou worked also as a Ph.D. researcher. His work here was also done at Queen Mary University in London. His work as Ph.D. researcher stems from October 2009 until May of 2012. Constantinou’s work here consistent of Bayesian Networks for predictions, as well as for risk assessment. One of the most important aspects of his studies and work has been for decision making. This unique and interesting aspect of artificial intelligence continues to wow individuals who have no experience in this area, but are curious nonetheless. Go Here to learn about his interview with