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PhD graduates finalists of the OR Society PhD prize for second consecutive year

17 November 2011

A PhD graduate from the School of Electronics and Computer Science (ECS), Dr Md Asaduzzaman has been awarded as the runner up of the Operational Research (OR) Society PhD Prize. Last year, Dr Shola Adeyemi was first runner-up for the same prize.

 Dr Asaduzzaman completed his PhD in March 2010 after three successful years of studies on the project Capacity Planning of a Perinatal Network: A Loss Network Framework under the supervision of Professor Thierry Chaussalet, director of the Health and Social Care Modelling Group (HSCMG), Operational Research and Information Systems (ORIS) cluster within ECS.

The prize, for the Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR, is an annual one, with the award being made at the OR Society’s Annual conference in September 2011.

Professor Thierry Chaussalet said: “It is a great honour to have supervised both Dr Asaduzzaman and Dr Adeyemi and to see their work receive formal recognition at national level. This also shows the strength of health OR in the UK as well as the strength of the University in this highly competitive
research field.”

Of his experiences at the University Dr Asaduzzaman said: “It’s really a great feeling to be a finalist for the PhD prize by the most distinguished body in the area of operational research, the OR Society.

"My stay at the Health and Social Care Modelling Group has broadened my base of knowledge on OR - I have learned many new OR methods and techniques, become acquainted with different people in the field who bring new and interesting perspectives, and, gained valuable experience.

"It was a privilege to work under Professor Chaussalet and within HSCMG, which is one of the best groups in the field of OR in health care in the UK. I would like to express my deepest gratitude to my supervisor Professor Thierry Chaussalet and my fellow group members. You all are part of this honour.”

The HSCMG and ORIS cluster have extensive research experience in the development and application of intelligent data mining, operational research and decision support techniques in health and social care, and have attracted funding over £1m in the past ten years from research councils, government departments, and private sector.


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