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OR54 Annual Conference - Organising Committee members

Chair

Tom Archibald, University of Edinburgh (more information)

Email: T.Archibald@ed.ac.uk

   

Programme Co-ordinators + Keynote Paper Editors

Robert Raeside, Napier University (more information)

Email: r.raeside@napier.ac.uk

   

Galina Andreeva, University of Edinburgh (more information)

Email: galina.andreeva@ed.ac.uk

   

Programme scheduler

Kerem Akartunali, University of Strathclyde Business School (more information)

Email: kerem.akartunali@strath.ac.uk

   

Social events organiser

Amanda Tucker, Dstl (more information)

Email: atucker@mail.dstl.gov.uk

   

Sponsorship and exhibition organiser

Rosemary Byde, Royal Bank of Scotland (more information)

Email: Rosemary.Byde@rbs.co.uk

   

Administration

Hilary Wilkes, The OR Society

Email: Hilary.wilkes@theorsociety.com

   

Biographies

Tom Archibald

Tom Archibald is Professor of Business Modelling, Head of the Management Science and Business Economics Group and Director of the MSc in Marketing and Business Analysis at the University of Edinburgh Business School.  He has held visiting positions at the Tinbergen Institute, Netherlands, Monash University, Australia and the University of South Australia.  Tom is also joint Editor of the Journal of the Operational Research Society.

His principal research interests are concerned with the development of new methodologies to solve high dimensional stochastic dynamic optimization problems, particularly problems from the areas of reservoir operation and inventory control.  He is currently involved in a major project to develop reliability and optimization models for asset management in water networks.  He also has active research projects in the areas of operations management for start-up firms, closed-loop supply chains and supply chain disruption.

 

Robert Raeside

Robert Raeside has a background of applying OR and statistics to business problems and to issues in society. His interests are in population change, forecasting and social network analysis. This is reflected in his publications and in the diverse range of doctorial students he has supervised and continues to supervise.

He is currently part of the Employment Research Institute at Edinburgh Napier University and is the Royal Statistical Society's representative to the British Standards Institutes Committees on Management Statistics and Six Sigma.

 

Galina Andreeva

Dr Galina Andreeva (MA, MSc, PhD) is a Lecturer in Management Science at The University of Edinburgh Business School and a member of Credit Research Centre. Her research interests involve risk assessment in consumer credit and SME lending, discrimination in consumer credit markets, financial exclusion, financial integration in Europe, construction of cross-country scoring models, predictive modeling. She has published in reputable journals, including Journal of the Operational Research Society, European Journal of Operational Research, and presented at multiple international conferences. Her research has been funded by the Economic and Social Research Council, Abbey Santander Research Fund. Prior to joining The University of Edinburgh Business School, Galina worked as at one of the UK banks. She still maintains close contacts with the credit industry and has collaborated on several consultancy projects. She teaches ‘Credit Risk Management’ to postgraduate students, and supervises a number of PhD projects in credit risk area.

 

Kerem Akartunali

Kerem Akartunali is a John Anderson Research Lecturer in Optimization with the Department of Management Science, University of Strathclyde Business School.  He received his B.S. degree in Industrial Engineering from the Middle East Technical University (METU) in 2002, and his M.S. and Ph.D. degrees in 2003 and 2007 respectively, both in Industrial Engineering from the University of Wisconsin in Madison, USA, with a specialisation in optimization.  Before joining Strathclyde Business School, he worked as a postdoctoral research fellow at the Department of Mathematics and Statistics in the University of Melbourne.  His research interests lie in the fields of integer programming and network optimization, and their applications to problems such as production planning, airline scheduling, and radiation treatment planning.  His work appeared in journals such as European Journal of Operational Research and Journal of Global Optimization.  Dr. Akartunali is a member of INFORMS and Mathematical Optimization Society since 2003.

 

Amanda Tucker

Amanda has worked for the MOD for 25 years originally as a Fuels Chemist and for the last 15 years as an Operational Researcher. She currently works in the Policy and Capability Studies Department in DSTL as a Principal Analyst focusing on Emerging Technology and High Level Operational Analysis and has a degree in analytical chemistry and a post-grad diploma in Military OR.

At OR53 in 2011, Amanda presented a paper in the education stream on her role as a Science, Technology, Engineering and Maths (STEM) ambassador where she visits 6th form colleges introducing them to OR.  This year she is the OR54 committee member responsible for the social calendar as well as being the lead for the Horizon Scanning and Future Analysis stream.

 

Rosemary Byde

Rosemary manages a team who build, maintain and monitor retail fraud risk models at the Royal Bank of Scotland (RBS). A key part of her role is to find ways to improve management of risks. This could be through use of innovative techniques and new areas of model application. Or it could simply be supporting colleagues to see the potential that analytics and modelling can bring to their business.

She has worked at RBS for 11 years in both credit and operational risk. All her roles have included elements of analysis. She has experience of reporting and portfolio management, bad debt forecasting and production of early Basel 2 models.

Rosemary has a BSc in Chemistry and an MSc in Management Science and Operational Research from the University of Warwick. She is an associate fellow of the Operational Research Society and a member of AQMeN (Applied Quantitative Methods Network) in Scotland.