INRASTES
Education Activities

Education activities per Research Area

INRASTES has long reputation and strong commitment in postgraduate education and training, since the establishment of NCSR “Demokritos” in the 1960’s. Our research groups are involved in various education activities, including the supervision of graduate students, PhD candidates and junior postdocs, and running across the four different research pillars of the institute. In certain cases, postgraduate research projects can cover multiple pillars or be in collaboration with other institutes of “Demokritos”. A list of on-going and recently completed projects can be found below.

If you are interested in conducting your theses or training with us, please visit the corresponding sections:

 

Postgraduate and undergraduate teaching activities

Many of our researchers are invited lecturers in accredited postgraduate programmes organized by Universities in Greece and abroad, the Greek Atomic Energy Commission, and the International Atomic Energy Agency (IAEA). Delivered courses range from Radiation Physics, Nuclear Reactor Safety, Nuclear Analytical Techniques, Industrial Safety, Environment and Solar Energy, to Radiopharmaceuticals, Clinical Chemistry, Molecular Diagnostics and Protein Chemistry.

 

Dissemination actions

Our research and education activities are disseminated to final year Science and Engineering students and graduates during the annual Summer School of NCSR “Demokritos”, in the form of lectures, laboratory demonstrations and tours.
In addition, we participate in the regular visits organized by the Education office of NCSR “Demokritos”, where we welcome several hundred high-school students visiting our laboratories per year. We also deliver lectures and conduct demonstrations addressed to the general public, e.g. during the annual festivities organized under the European Researchers Nights.

 

Video presentation of INRASTES education activities (in Greek):

 

INRASTES Education Officers


Dr Effie Marcoulaki (Energy, Safety and Environmental Technologies; Nuclear Technology)

 

Dr Yiota Petrou (Biodiagnostic Sciences and Technologies; Radiological Sciences and Radiopharmacy)

 

List of on-going and recently completed theses

Theses list

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Koromila Ioanna
SUPERVISOR: NIVOLIANITOU ZOE

Quantitative risk-based approach to ship design for fire safety

The main purpose of Ms. Ioanna Koromilas’ phD dissertation is to propose a general risk model for assessing a passenger ship’s fire safety level at the design stage. It will be based on the principles of quantitative risk assessment (QRA), as set out in the alternative design requirements of the International Maritime Organization (IMO). This method will support the design of passenger ships, whilst allowing its future application to other ship types. The proposed model will be able to determine the safety level of a ship by enhancing the decision-making process for the evaluation of various alternative designs. More specifically, both the conceptual and mathematical framework for calculating fire risk will be developed, as well as will be employed advanced fire and evacuation simulation tools (including Fire Dynamics Simulator and PathFinder). The mathematical model will be used to demonstrate the method on a cruise ship.

Ms Koromila’s phD is conducted at the School of Naval Architecture and Marine Engineering of the National Technical University of Athens and is supervised by Professor K. Spyrou, Dr Zoe Nivolianitou, and Professor G. Athanasoulis.

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Kotsilitis Sarantis
SUPERVISOR: MARCOULAKI EFFIE

Hardware accelerated energy disaggregation for energy efficiency and predictive maintenance applications

This project aims to develop novel tools for energy disaggregation and monitoring of device health status. These tools will perform analysis of complex energy load time-series using real-time pattern recognition/matchmaking and hardware accelerated algorithms, and will transmit the recognised events to a main server.

During its first 20 months, the project has successfully achieved the milestones set in the proposal. Following the initial training of the Fellow -also involving the review of cutting edge methodologies and current trends-, a prototype was developed for High frequency sampling of energy data. Deployment of the prototype to a commercial building has so far provided over 1Tb of energy consumption and ground truth data.

Publications:

1. Kotsilitis S., Marcoulaki E., Kalligeros E., Mousmoulas Y., 2018. Energy efficiency and predictive maintenance applications using smart energy measuring devices. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik & J.E. Vinnem (eds.) “Safety and Reliability – Safe Societies in a Changing World”, CRC Press, ISBN 978-0-8153-8682, pp. 987-994, https://www.taylorfrancis.com/books/9781351174657

2. Kotsilitis S., Marcoulaki E., Kalligeros E. & Mousmoulas Y., 2018. Distributed edge computing paradigm with dedicated devices for energy efficiency and predictive maintenance applications. In “Industrial Internet of Things and Smart Manufacturing”, Springer Series on Lecture Notes on Data Engineering and Communications Technologies (NDECT), in press (ISBN: 978-1-912532-06-3)

3. Kotsilitis S., Marcoulaki E., Kalligeros E., 2019. High Frequency Energy Disaggregation Sampling and Analysis towards Predictive Maintenance Applications. In M. Beer & E. Zio (eds.) “Proceedings of the 29th European Safety and Reliability Conference”, Research Publishing, Singapore, pp. 1214-1222, ISBN: 978-981-11-2724-3; https://doi.org/10.3850/978-981-11-2724-3.

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Giannousopoulou Markela
SUPERVISOR: KONSTANTINIDOU MYRTO

Maritime accidents and environmental hazards. Developing a dynamic model for predicting maritime accidents and possible environmental pollution.

Hellenic Seawaters, with the Aegean Archipelago consisting their center, form one of the most important maritime links of the Mediterranean Sea. At the same time, they are also characterized by an extremely rich and unique marine environment with a large coastline, thousands of islands and intense activity of ships. The coexistence of so many important countries around the Mediterranean along with the geomorphology of their coasts has resulted in increased maritime traffic through specific routes in the Aegean Sea.

These routes represent a unique example of an area where a serious marine accident with high environmental impact may happen. Hence, the need to reduce the possibility of maritime accidents in the Aegean is of vital importance, as a possible accident would affect all the social, economic, environmental and cultural sectors of Greece and the wider region of the Eastern Mediterranean basin. There is therefore a pressing need to identify ships with a potentially high accident risk crossing the Aegean Sea by developing a suitable model and highlighting areas with increased environmental risk in the area.

The current PhD thesis stems from the above-mentioned need and its goal is the monitoring and reduction of ecological risk in Greek national waters and especially in the Aegean Sea, due to a marine accident. The probability of a vessel accident occurrence is due to internal (vessel) parameters (age and kind of the vessel etc), and external (dynamical) parameters (weather etc). The former present a static character because they cannot change during the travel of a vessel. Instead the latter have a dynamic character because they continuously change. Another important aspect of the current research is the development of a consequences model which will refer to the estimated cleanup cost after a certain accident occurs. The model developed is based on Bayesian Networks and Fuzzy Logic.

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