Dr Effie Marcoulaki (PhD, MSc, MEng) is Research Director at the System Reliability & Industrial Safety Lab of the National Centre for Scientific Research “Demokritos” (NCSR-D) in Greece. She holds an MEng in Chemical Engineering from the National Technical University of Athens (Greece), and MSc and PhD from the University of Manchester (UMIST, UK). She is a former Research Fellow of EPSRC (UK), and has worked as a Process and Software Engineer in the UK and a Lecturer at major Universities in Greece.
Her research activities include the assessment, management and governance of risks, and the development of advanced computational tools for the design of safe, reliable and sustainable processes and materials; using Bayesian statistics, Markov processes, Monte Carlo simulation, stochastic optimization and machine / deep learning. Her research is/has been funded by the Greek, UK, Swiss and USA governments. European projects on nanomaterial safety include FP7/SCAFFOLD, H2020/EC4SAFENANO and H2020/NANOINFORMATIX as principal investigator. She also coordinated the development of IoT technologies and data analytics for energy efficiency and industrial equipment fault detection, with funding from H2020/MIDIH & H2020/CloudiFacturing.
She is a national expert for CEN/TC 352 Nanotechnologies for WG1 and WG3 since 2018, and member of CEN/TC 352/WG3/PG7 Safe-by-Design nanomaterials. Among others, she is member of the UPAC InChI WG for a standard international identifier for nanomaterials / nanoforms, the European Nanosafety Cluster (EU-NSC), the International Network Initiative on Safe & Sustainable Nanotechnology (INISS-nano) etc. She also served as expert evaluator and project monitor for EC, and has over 60 publications in international peer-review journals and conference proceedings.
«NanoInformaTIX: Development and Implementation of a Sustainable Modelling Platform for NanoInformatics» funded by EC: GA 814426, H2020-NMBP-14-2018 [2019–2023] 7.75 M€ NanoInformaTIX is a European Research and Innovation Action project which aims to create a comprehensive, sustainable, multi-sc...
«CLARION: Machine Health Assessment via Energy Monitoring» funded by «CloudiFacturing: Cloudification of Production Engineering for Predictive Digital Manufacturing» (I4MS), GA 768892, H2020-EU.2.1.1 [2019–2020] Electric Motor‐Driven Systems EMDS are used in pumps, fans, compressors, and material...
Project «PREDIVIS: Hardware accelerated energy disaggregation for energy efficiency and predictive maintenance applications'', funded under the Stavros Niarchos Foundation Programme for Industrial Fellowships. Leader: EC Marcoulaki, PhD candidate: S Kotsilitis (University of the Aegean), Company: Pl...
The SUPREEMO experiment developed advanced CPS / IOT technologies and edge/cloud data-analytics, to develop a data-driven approach for equipment fault detection, and test its application for the improvement of Energy Efficiency and to support Predictive Maintenance. The proposed solution is inexpens...
«EC4SafeNano: European Centre for Risk Management and Safe Innovation in Nanomaterials & Nanotechnologies», funded by EC: GA 723623, H2020-NMBP-27-2016 [2016–2019] A central challenge to ensure the sustainable production and use of nanotechnology is to understand the risks for environment, he...
«SCAFFOLD: Innovative strategies, methods and tools for occupational risks management of manufactured nanomaterials (MNMs) in the construction industry» (funded by EC: GA 280535, FP7-NMP-2011-SMALL-5) [2012-2015] Manufactured nanomaterials and nanocomposites have various uses in the construction ...