Konstantinos N Androutsopoulos
The major thrust of Dr Androutsopoulos' research is on application of quantitative methods (mainly OR methods) for optimizing operations in Transportation and Logistics systems. In particular, his research work is focused on the following areas: Vehicle Routing and Scheduling, Routing and Scheduling in Multimodal Dynamic Transportation Networks, Scheduling in Air Transportation, Multi-criteria Decision Making and Evaluation, Planning and Evaluation of Flexible Transport Systems, Emergency Response Logistics, and Hazardous Materials Routing. He has been a principal investigator for various R&D projects in the area of Transportation and Logistics funded by the European Commission and the Greek Government. His work has been published in highly ranked academic journals of Transportation, Management Science and Operational Research, including Transportation Research Part C, European Journal of Operational Research, Transportation Research Record, Transportation, and IEEE Transactions on Intelligent Transportation Systems.
Paolo Dell’Olmo is a Full Professor of Operations Research at the Department of Statistical Sciences of Sapienza University of Rome (Faculty of Information Engineering, Informatics and Statistics). Director of the Master Program in Data Intelligence and Strategic Decisions. Member of the Scientific Board of the Research Center of Cyber Intelligence and Information Security of Sapienza. Member of the Board of Directors of Fondazione Sapienza. Member of the Board of Directors of InfoSapienza. Member of the Board of Directors of Telematics, Transport and Safety Association (TTS ITALIA). Member of the Board of Directors of Inter University Network for Transportation and Logistics (NITEL).
His research interests are mainly in mathematical programming and combinatorial optimisation techniques applied to real life transportation problems. In particular, Computational Complexity, Design and Analysis of Exact and Approximated Algorithms, Sequencing and Scheduling, Air Traffic Management, Logistics, Coordination of Traffic Flows on Networks, and Multi Objective Optimisation on Networks. He has been responsible for several national and international research projects and scientific consultant of Trenitalia, Areoporti di Roma (ADR), Presidenza del Consiglio (on Public Transportation) and author of more than 100 scientific papers published in international journals. Currently he is involved in research projects for the use of Open Data and Big Data in transportation services.
Michael A. Madas is a Lecturer on Supply Chain Management at the Department of Applied Informatics, School of Information Sciences, University of Macedonia. He is currently a Research Associate at the Transportation Systems and Logistics Laboratory (TRANSLOG) of the Athens University of Economics and Business, as well as the Information Systems and e-Business (ISeB) Laboratory of the University of Macedonia. His professional research experience includes the participation and active involvement in more than 15 EU-funded R&D projects.
He has 10 publications in highly recognized, international, scientific journals, 4 publications in edited volumes and books, and more than 25 papers included in conference proceedings. His research and teaching interests focus on the strategic management and resource planning of transportation systems and transport operators/companies, airport demand management and slot allocation mechanisms, airport capacity and delay analysis, transport policy and pricing, as well as ICT applications and impacts on logistics and transport systems.
Stephen is a post-doctoral researcher at the Zuse Institute Berlin, Germany. His research focuses on solution algorithms for mixed integer programming problems. This involves the development of the mixed integer programming solver SCIP, which is part of the SCIP optimisation suite.
The current areas of development are the internal parallelisation of SCIP, the use of large-neighbourhood search techniques as exact approaches and the application of decomposition to improve the dual simplex method. In addition, Stephen is interested in the application of mixed integer programming to solve network and routing problems arising in aviation, bioinformatics, public health and climate science. Stephen investigates novel enhancements of decomposition techniques, such as column generation and Benders' decomposition, to solve large-scale optimisation problems from real-world applications.
Stephen completed his PhD at the University of New South Wales, Australia. In 2012 Stephen was awarded the Anna Valicek medal from the Airline Group of IFORS for his paper "The recoverable robust tail assignment problem". His PhD thesis was awarded the dissertation prize from the Aviation Applications Section of INFORMS in 2014.