Ugur Bilge is an Agent Based Simulations and Modelling expert, who develops tools for understanding, communicating and applying the Complex Systems approach to real world problems, delivering innovative solutions in Retail, Supply Chain, Finance, Governance and Health Care.
In 1993, Ugur received his PhD in Computer Science from University College London, where he worked as a research assistant in European funded research projects on Neural Nets and Genetic Algorithms. Later he worked as a consultant at the Logistics Innovation Centre, J. Sainsbury plc where he designed and developed state-of-the-art software tools for Forecasting, Optimisation, Planning and Scheduling applications for Finance, Retail and Logistics, applying techniques such as Neural Nets, Genetic Algorithms, Fuzzy Logic, and the Complex Adaptive Systems.
In 1998 Ugur co-founded SimWorld Ltd in the UK, a consultancy and innovative solutions company, and developed SimStore, a realistic simulation of a supermarket layout with moving customers. Since then he has been developing ABS for a number of clients, including a geographic model of Container Transport in the UK, and a coarse grain simulation of Oil World. Ugur was the modelling expert for the ICoSS Project at London School of Economics (LSE). He developed the Organisational Forms Simulator, an ABS and network visualisation tool for exploring informal social networks, and investigating patterns of connectivity within business organisations.
Ugur was a Senior Research Associate at LSE Complexity Group between 2002 and 2012, and worked on several research projects. He was a tutor in 2006 and 2007 for the LSE Taught Course for Researchers on Complexity Science and Complex Social Systems. In 2010 he developed the Global Trade Network Simulator for the Game Changers project at IIASA in Austria, and in 2012 he was the Modelling Expert for the ESPA funded REDD Game Project at LSE for protecting the Bolivian Amazon.
Since 2003, Ugur has held the position of Assistant Professor at the Department of Biostatistics and Medical Informatics at Akdeniz University, in Antalya, Turkey. He teaches Data Mining, Artificial Intelligence, Agent Based Models and Complex Systems, and develops software tools for data mining and analysis of medical and healthcare data.
Ugur’s current research interests are Data Mining, Artificial Intelligence, Complex Systems, Agent Based Simulation, Medical, Health and Bio Informatics.