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Anthony Constantinou Expresses Why He Loves Working In Academics So Much November 12, 2018


Anthony Constantinou, Ph.D., has a lengthy list of accomplishments in his field which is Bayesian Networks and Rating Systems. He has been an assistant professor at the Queen Mary University of London for nearly two years and is also the head of its Bayesian Artificial Intelligence Laboratory. For the past three and a half years he has also worked as an independent consultant in which he applies his knowledge about Bayesian Networks in multiple industries, most enjoying working with sports betting organizations.

Originally from Cyprus, Anthony Constantinou is a native speaker of Greek. He says that this is especially useful when he needs to gather intelligence as it uses a lot of Latin and Greek symbols. He is also fluent in English which means he conducts his research in English and also uses it to publish his findings. The reason is that he wants his research to be understood by the largest group of people possible.

Constantinou is deeply involved in academics because he feels passionate about passing his knowledge about Bayesian Networks to his students. He also wants to feel that he is making an impact in his field which teaching definitely involves. Anthony Constantinou says that he strives to inspire the scholars in his class who will push his research into artificial intelligence and Bayesian Networks forward. Get Additional Information Here.

Anthony Constantinou highly enjoys his work outside of academics as well. Anthony Constantinou especially enjoys applying his knowledge and skills in the sports betting industry because he enjoys both working with artificial intelligence and the world of sports. His favorite sports to work with are football, tennis, and darts. He has applied Bayesian Networks to individual matches, tournaments, and championships. He uses past results to predict future wins and losses. He thinks this is a pretty fun thing to do and it helps other people out which he likes as well.

His publication “Bayesian Artificial Intelligence for Decision Making Under Uncertainty”j 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.


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Why Anthony Constantinou Is Raising Eyebrows October 11, 2018


Anthony Constantinou, an assistant lecturer and professor at Queen Mary University, is raising some eyebrows these days. Anthony Constantinou’s passion is for anything that can utilize artificial intelligence, as well as for data mining. It seems to be the primary focus of companies these days, but the use of machines and Bayesian Artificial Intelligence really get his motor running.


People are always curious how he goes about conducting his research, but Anthony Constantinou isn’t shy about reaching out to organizations around the world to gather more information. He also focused on collaborating with other academics to gather his information and make observations. Where does he apply his research? Generally, Constantinou’s focus is on topics that are well-known and loved like sports, gaming, and even finance.


While it is certain that technology and data mining are increasing, it isn’t clear the role that artificial intelligence will play in this. There are many interesting projects that Anthony Constantinou has put together for the purpose of teaching machines to do things that are more like humans. One of his models, “Dolores”, was ranked second place in an international competition. The goal of this competition was to teach a machine how to play soccer.


One of the most talked about projects is the one that was created for football. It was entitled, “A Bayesian Network Model For Forecasting Association Football Match Outcomes.” It seems there are many things that machine learning can do for civilization, and Anthony Constantinou is going to find out. His testing includes a description on what was done and the components that it took to accomplish it, as well as historical data that has been presented and new data that has been captured for comparison.


All of the facts must be presented in order for him to do his work, and he must consider that he is using appropriate models for each and every test. Additionally, he notes that the football scores could be tested using any league as long as the subjects of the study were still the same. Refer to This Article to learn more.


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