A5064192775- Distributed systems and fault tolerance
- Parallel Computing and Optimization Techniques
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Energy and Environment Impacts
- Cognitive Functions and Memory
- Interconnection Networks and Systems
- Optimization and Search Problems
- Smart Grid Energy Management
- Sustainability and Climate Change Governance
- Energy Efficiency and Management
- Real-Time Systems Scheduling
- Geophysics and Sensor Technology
- Sustainable Supply Chain Management
- Regional Development and Policy
- Distributed and Parallel Computing Systems
- Energy, Environment, and Transportation Policies
- Advanced MEMS and NEMS Technologies
- Climate Change Policy and Economics
- Radiomics and Machine Learning in Medical Imaging
- Sensor Technology and Measurement Systems
- Electric Power System Optimization
- Hybrid Renewable Energy Systems
- Economic and Technological Developments in Russia
- Listeria monocytogenes in Food Safety
National Technical University of Athens
2020-2024
FORTH Institute of Computer Science
2014-2023
FORTH Institute of Electronic Structure and Laser
2018-2023
Foundation for Research and Technology Hellas
2016-2021
University of Crete
2016-2021
Czech Academy of Sciences, Institute of Computer Science
2018
Université de Rennes
2012-2015
Institut de Recherche en Informatique et Systèmes Aléatoires
2012
Institut d'Estudis Espacials de Catalunya
2009
National and Kapodistrian University of Athens
2006
Seaports will play a pivotal role in the low-carbon transition of maritime shipping, policy landscape which is currently being shaped. In this context, we introduce multi-criteria decision support framework for seaport sustainability planning, to identify competitiveness interventions under uncertainty and evaluate direction sector's context terms required actions. The framework, based on 2-tuple TOPSIS model, heterogeneous variables, Monte Carlo robustness analysis, empirically applied port...
This study introduces a framework that assists utilities effectively identify energy poor households among their clients. The is established upon an enhanced version of the well-known 10% measurement index, being adjusted by set weather-driven, income-oriented, and energy-oriented variables so more accurate, indicative, objective results are automatically derived through multi-sourced data. proposed differs from common, income-based ones, as well other approaches integrate information about...
Graphs are versatile data structures that allow the implementation of a variety applications, such as computer-aided design and manufacturing, video gaming, or scientific simulations. However, although queues, stacks, trees have been widely studied implemented in concurrent context, multi-process applications rely on graphs still largely use sequential where accesses synchronized through global locks partitioning, thus imposing serious performance bottlenecks. In this paper we introduce an...
Purpose This paper aims to present pertinent research challenges in the field of (big) data-informed policy-making based on research, undertaken within course European Union-funded project Big Policy Canvas. Technological advancements, especially past decade, have revolutionised way that both every day and complex activities are conducted. It is, thus, expected a particularly important actor such as public sector, should constitute successful disruption paradigm through adoption novel...
Reducing waste and pollution are imperative needs of our time. Manufacturers, especially large, transnational companies, can lead the way by adopting more sustainable practices. One practices is adoption circular economy models in manufacturing enabling transition from current linear “take-make-dispose” model to closed loop that reduce production. largest, most innovative sectors Europe automotive industry. The aim this study formalise main key performance indicators actors across value...
Energy poverty is a multifaceted phenomenon that affects many Europeans. Alleviating energy high in the EU, national, and local policy agendas. Despite attention has been gaining from perspective, especially after current crisis, there are still some gaps due to complexity of issue its vastly different manifestations across Europe. This manuscript presents implications stemming implementation POWEPROOR approach alleviating eight European countries, as co-created with relevant stakeholders...
Sentiment analysis is a developing field dealing with the detection of sentiments or opinions expressed in written text. In an age where online services are subject to immediate feedback by users and clients, sentiment on bodies reviews particular interest service-oriented businesses such as hospitality establishments. Methods based Machine Learning very widely used for this purpose. While some standardized methodologies exist, sheer volume data which be performed order train Deep network,...
Calls "to do science differently" and democratise the research process have proliferated in last decades, especially context of climate policy support. This new arena demands more participatory procedures to expand knowledge-making beyond researchers experts. One way that has started interact with society been increasing number online platforms emerged as alternative forums, providing opportunity for engaging a variety tools, models, results, preferences. study presents I <sup...
Energy poverty is a significant problem in Greece, affecting many people and exacerbating social inequality. Lack of access to affordable reliable energy negatively impacts health, comfort, economic opportunities, with long-term consequences for communities. While various initiatives have been implemented address poverty, communities are emerging as promising approach tackle this issue. refer groups who come together produce, consume, manage their resources collectively. They enable...
We study general techniques for implementing distributed data structures on top of future many-core architectures with non cache-coherent or partially memory. With the goal contributing towards what might become, in future, concurrency utilities package Java collections such architectures, we end up a comprehensive collection by considering different variants these techniques. To achieve scalability, generic scheme which makes all our implementations hierarchical. consider known improving...
The aim of this paper is to develop a complete inertial measurement system using habitual sensors and components easy find in the actual market - such as FPGAs- processor IP, implement it system-on-a-chip whose purpose be incorporated into moving object, for example non-tripulated plane, or support GPS car. To help explain possibilities limitations that are met during choice architecture implementation system, brief history description nature systems provided, well summary issues arise MEMS...
The current data volume and processing requirements in a modern datacenter outgrow the performance increase offered by CPU technology scaling. In light of this trend, operators have started exploiting application-specific accelerators order to provide that is needed, without exceeding power consumption constraints. resulting heterogeneity resources raises question what type composition most useful under circumstances. However, as complexity makes testing on real-life datacenters difficult or...