Wednesday, 23 December 2015

Anthony Constantinou - Tis the season! Google doodles to celebrate first day of Christmas Holidays 2015

'Tis the Season is a Christmas collection by American vocalist Vince Gill and Australian artist Olivia Newton-John, discharged in the 2000 Christmas season by Hallmark Entertainment. This is Newton-John's first Christmas collection, and Gill's third. 'Tis the Season is an accumulation of established Christmas melodies and has two part harmonies in the middle of Gill and Newton-John, too solo tunes by the vocalists, and two tunes by extraordinary visitors, The Bradford Singers. The instrumentation was organized by the London Symphony Orchestra.

The collection just had a restricted discharge through Hallmark Cards stores. Because of Billboard 200 standards at time, it didn't achieve any graph. 'Tis the Season wasn't discharged universally, yet Newton-John's collection tracks were discharged on The Christmas Collection accumulation.

Google has discharged its first doodle commending the start of the Holiday Season. Tis the season! Google Doodle praises the first day of the Christmas Holidays 2015 with papercraft characters and different things that make up the doodle.

The doodle demonstrates a few merry characters alongside things, for example, stars, confections, endowments thus on enlivened by paper cut models and cut outs. The doodle has been outlined by craftsman Robinson Wood. "Google" has been made with characters, for example, a feline for "G" , owl for "O" et cetera.

Much the same as consistently, we can anticipate that Google will reveal another doodle ordinary, implying every day of the happy season. December 23 is viewed as the first day of the Christmas season that is trailed by Christmas and New Year. A year ago, this time around, Google had attempted to typify the fun and skip with kids. The doodle was brilliant and bright with a grinning reindeer and snowflakes. A basic lace with "Google" engraved on it is found in the doodle.

Thursday, 10 December 2015


Anthony Constantinou attended The London School of Medicine at Queen Mary, University of London where he was a fellow at Post-Doctoral Research. At that time, he worked on the project sponsored by the NIHR and named “Improving Risk Management in Mental Health Services.” The project involved the use of Bayesian network models in the development of decision backup for risk management and risk assessment of violent conduct in Forensic Psychiatry.

In 2012, Anthony Constantinou completed his Ph.D after the Engineering and Physical Sciences Research Council awarded him and founded a complete scholarship of three years and half in the United Kingdom. The title of his thesis was “ Bayesian networks for decision making, risk assessment, and prediction in an inefficient Association Football gambling market.”

The school of EECS nominated his thesis for the best British Ph.D/DPhil papers in Computer Science competition of 2013/2014. The Council of Professors and Heads of Computing and British Computer Society manages the competition. During his thesis, Anthony Constantinou was a research member at Queen Mary, University of London, of the School of Electronic Engineering and Computer Science and Risk And Information Management Research Group.


Primarily, Professor Norman Fenton supervised his thesis and Professor Martin Neil did it secondary. Constantinou received a scholarship from Impact QM EPSRC during his third year in Ph.D. The purpose of the award was to develop economic impact by improving industrial and academic research in the United Kingdom through collaboration.

Between 2009 and 2013, Anthony Constantinou worked as a Graduate Teaching Assistant for Software Engineering and Theory, Procedural Programming, and Software Risk Assessment. The Faculty of Engineering and Information Sciences from University of Hertfordshire awarded Constantinou a degree of M.Sc with Distinction in Artificial Intelligence with Robotics.

Tuesday, 8 December 2015


Anthony Constantinou made deep research on A.I. probabilistic methods, principally Bayesian networks for intelligent decision making, management of risk, assessment of risk, and prediction. Anthony Constantinou has deep experience applying these probabilistic techniques in various areas encompassing gaming, sports, preventive medicine, robotics, and economic gambling. 

Constantinou worked with prominent professors such as Martin Neil and Norman Fenton to develop a new model of Bayesian network (BN) for forecasting football match results. Up to day, the predictions are published online.

Anthony Constantinou worked with these professors during his studies with the research group of risk and information management at School of Electronic Engineering and Computer Science located at QMUL. His outstanding work led to the first academic research publication aimed to prove profitability. This is because profitability is consistent for future results of matches against the football gambling market. The EPSRC funded this research. 


Anthony Constantinou is also a fellow of post-doctoral research with the Violence Prevention Research Unit from Wolfson Institute of Preventive Medicine. He is developing currently models of Bayesian network for management of risk and assessment of risk of violent re-offence with the assistance of domain specialists.

The NIHR is funding this research and one of the principal objectives of this task is for a decision backup system of adequate complexity that can quantify properly uncertainty and enhance risk management of violent recidivism via different interventions. 

AnthonyConstantinou has a large expertise in machine learning, artificial intelligence, intelligent decision making, knowledge engineering, decision backup systems, management of risk, assessment of risk, and Bayesian interference.