Dr. Ahmed Mohamed is senior research scientist at BT. He received his BSc from the German University in Cairo and his MRes and PhD from the University of Essex. He has been applying fuzzy logic in various domains (robotics, intelligent environments, resource planning and recommendation systems) since 2009. Currently he is leading the research on recommendation systems and fine-grained scheduling based simulations.
Peter Rausch is professor of Information Systems at the Nuremberg Institute of Technology - Georg Simon Ohm and has published many papers, articles and book chapters. Peter’s current research activities are focused on fuzzy technologies, business planning and process automation. He holds a PhD in business administration from Frankfurt University and has spent several years working in the fields of software development, business process optimization and consulting. As a program manager, he was the head of process and tool management in the Sales Support Department of Sun Microsystems, Germany. Later on, he was responsible for an integration environment which was part of an industry solution at a software company. Afterwards, Peter became professor of Information Systems at Coburg University of Applied Sciences. In 2008 he accepted an offer as professor of Information Systems at the Technische Hochschule Nürnberg - Georg Simon Ohm. Additionally, he is the head of a small company which is specialized on software solutions and consulting.
John McCall is Director of the IDEAS Research Institute at Robert Gordon University, where he is a Professor of Computing Science. He leads a Computational Intelligence research group, which he founded in 2003. John is a member of the IEEE Intelligent Systems Applications and Evolutionary Computing Technical Committees. He has over twenty years research experience in naturally-inspired computing and over 100 peer-reviewed publications in books, conferences and journals. His research focusses on the study and analysis of a range of naturally-inspired metaheuristics (EA, EDA, PSO, ACO, ANN etc..) and their application to learning and optimisation problems, particularly in expensive resource intensive operations. Application areas of this research include oil and gas operations, domiciliary care scheduling, staff rostering, high performance computing, medical decision support and bio-control. John has led several industrially-focussed research projects to add intelligent components to existing commercial software or to new software tools in the process of development. Recent industrial collaborators include British Telecom, Total, ARR Craib, ODS-Petrodata, and Viper Subsea.