R&D within the broader scope of Intelligent and Connected Transportation Systems. Research interests on Traffic Flow, Modelling and Simulation of Vehicle Dynamics and instantaneous Energy Consumption, behaviour of Advanced Driver Assistance Systems, Traffic Estimation, Control and Data Analysis.

Sensing the Future of Intelligent Transportation Systems

I am guest editor along with Dr A. Kouvelas (ETH), Prof. T. Toledo (Technion) and Prof. R. Jiang (Jiaotong) in a Special Issue entitled “Sensing the Future of Intelligent Transportation Systems.” to appear in the journal “Sensors”.

Deadline: 30 June 2021.

The aim of this Special Issue is to bring together innovative developments in areas related to sensor-based decision-making applied to intelligent transportation systems. For a detailed list of the topics please visit the web-page of the special issue on Sensors website, here

We look forward to receiving your valuable contributions!

Previous experience

  • 2016 - 2020 | Senior Researcher - Sustainable Transport Unit (STU), JRC, European Commission

Scientific responsible of the Traffic Modeling group within the STU, working as transportation researcher within the C2ART project, providing support to the JRC activities in Cooperative, Connected and Automated Road Transport. The C2ART project investigates the impact of Connected and Automated Vehicle (CAV) technologies on future road transport systems, in terms of Traffic Congestion, Emissions and Energy Efficiency (Fuel Consumption and Tractive Energy Consumption), through a combined approach based on traffic modelling and simulation, desktop research and stakeholders’ consultation.

  • 2018 | Visiting Researcher - Laboratoire d'Ingénierie Circulation Transport (LICIT), Lyon France

Research on the impact of vehicle dynamics on traffic flows, design and implementation of a microsimulation model for accurate estimation of vehicle longitudinal movement and emissions.

  • 2012 - 2016 | Senior Researcher - JRC, European Commission

R&D on computer science and data analysis within the framework of the Container Traffic Monitoring (Contraffic) project. Risk assessment on maritime container traffic monitoring data (data analysis, machine learning, data mining) for the detection of fraudulent container movements. Development and maintenance of web-services related to EU customs antifraud and safety/security policies.

Development and implementation of machine learning and pattern recognition techniques in the fields of content-based image retrieval and image classification. Participation in EU-funded research projects and preparation of technical and scientific documentation.

  • 2010 | Scientific specialist (programmer/analyst) - Greek Military Officers Faculty, Thessaloniki, Greece

Implementation and management of the pool database (MS Access, SQL, Visual Basic) of Greek Military Officers Faculty. Support to the candidate students. Computerization, preparation and conduct of preliminary examinations for the candidate students of the faculty. Providing support to military officers.

  • 2005 - 2010 | Lecturer - Democritus University of Thrace

Lecturer for the courses “Digital Image Processing”, “Electrical Circuits II” and “Electrical Circuits III”, Dept. of Electrical and Computer Engineering, Democritus University of Thrace, Greece.

  • 2006 | Researcher - NCSR Demokritos

Development and implementation of techniques related to document image processing and document image segmentation for the preservation and restoration of degraded cultural documents. POLYTIMO project: A System for processing, managing and providing access to the content of valuable historical books and handwritten manuscripts.

Dr. Michail MakridisETH Zürich - Senior Research Scientist Institut für Verkehrsplanung und Transportsysteme (IVT)Stefano-Franscini-Platz 58093 Zürich, SwitzerlandMail: mmakridis (at) ethz.ch