Φούσκας Γιώργος
ΕΚΠΑΙΔΕΥΣΗ
1996: Ph.D. in Computer Science (Domains: Computer Networks, Telecommunications)
– Computer Science Dept., Univ. of Crete
1993: M.Sc. in Computer Science – Computer Science Dept., Univ. of Crete
1989: Diploma in Computer Engineering, University of Patras
ΕΡΕΥΝΗΤΙΚΕΣ ΔΡΑΣΤΗΡΙΟΤΗΤΕΣ
Network and systems administration; software-defined and enterprise network management; network and IoT/edge computing architectures.
Linux systems administration and DevOps automation; virtualization and containerization technologies; hybrid and multi-cloud solutions; redundancy and load balancing architectures.
Computer systems and network security; cybersecurity analytics and anomaly detection; web and cloud application security and privacy.
Internet of Things (IoT) and edge-computing architectures for environmental monitoring and smart city applications; development of low-cost, machine-learning-calibrated sensing systems for air quality and pollutant forecasting.
Machine learning and data analytics for sensor calibration, anomaly detection, and environmental data modeling; integration of AI-driven predictive analytics in IoT and distributed infrastructures.
Intelligent and connected systems combining IoT, AI, and cloud technologies to enable real-time decision support in smart environments and health-related applications.
Advanced web application development; RESTful and GraphQL API design; secure web programming and microservices-based architectures.
Technology and management of high-performance IP networks; software-defined networking and traffic engineering; performance and reliability management of TCP/IP networks; AI-driven network monitoring and congestion control platforms.
High-performance and parallel computing (HPC); GPU/accelerator-based computing; application porting, optimization, and performance modeling for large-scale distributed systems.
ΠΡΟΗΓΟΥΜΕΝΗ ΑΠΑΣΧΟΛΗΣΗ
2000-2013: Tutor/Advisor, Computer Science Undergraduate Course, School of Science and Technology, Hellenic Open University
1999-2011: Associate Application Scientist (Rank C), FORTH/ICE-HT
1986-1998: Member of Technical Staff, FORTH/ICE-HT
ΒΡΑΒΕΥΣΕΙΣ / ΤΙΜΗΤΙΚΕΣ ΔΙΑΚΡΙΣΕΙΣ
ICS – FORTH Fellowship (1992-1995). Greek State Fellowship (1984-1985). Prize from Hellenic Mathematicians Association (1984).
ΣΥΜΜΕΤΟΧΕΣ ΣΕ ΕΡΕΥΝΗΤΙΚΑ ΕΡΓΑ
2002-today: Participation in more than 23 research and development projects funded by EU and National bodies.
Integrating Novel matERials with scalable processes for safer and recyclAble Li-ioN baTteries (INERRANT)
Funding Organization: European Commission
Contract no.: 101147457
Διασυνδεδεμένες Έξυπνες Πόλεις για την Ελλάδα 2.0
Funding Organization: This project is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0, funded by the European Union – NextGenerationEU
Contract no.: TAEDR-0536642
Innovative Pilot Lines for Sustainable Graphene-Based Flexible and Structural Energy Harvesting and Storage Devices (GRAPHERGIA)
Funding Organization: European Commission
Contract no.: 101120832
Disrupting Noxious Synergies of Indoor Air Pollutants and their Impact in Childhood Health and Wellbeing, using Advanced Intelligent Multisensing and Green Interventions (SynAir-G)
Funding Organization: European Commission
Contract no.: 101057271
Smart Air Quality Monitoring – SmartAQM
Funding Organization: Region of Western Greece
Contract no.: MIS 5038703
Smart Infotainment System with Emotional Intelligence (SISEI)
Funding Organization: National/ESPA
Contract no.: Τ1ΕΔΚ-01046
Novel technologies to monitor, support and improve the quality of life of patients and other vulnerable user groups (ΠΟΙΟΤΗΤΑ ΖΩΗΣ)
Funding Organization: National/ESPA
Contract no.: MIS 5002464
ΔΗΜΟΣΙΕΥΣΕΙΣ ΣΕ ΠΕΡΙΟΔΙΚΑ
7 refereed publication in Journal; 7 in refereed proceedings.
ΑΛΛΕΣ ΕΠΑΓΓΕΛΜΑΤΙΚΕΣ ΔΡΑΣΤΗΡΙΟΤΗΤΕΣ
Co-founder of EmAIRging P.C. (2025)
EmAIRging is a technology-driven company specializing in air quality monitoring and environmental intelligence, delivering smart, science-backed air quality solutions that help organizations improve environmental performance, enhance wellbeing, and make informed decisions for a resilient future.
ΒΙΒΛΙΑ ΚΑΙ ΕΠΙΜΕΛΕΙΕΣ ΕΡΓΩΝ
- G. Fouskas. «Computer Networks, Part II». Publisher: Hellenic Open University (2005). ISBN: 960-538-577-5
A textbook for undergraduate students and practicing engineers, suitable for distance learning. - G. Fouskas. «Web Server Technology». Publisher: Hellenic Open University (2003). ISBN: 960-538-525-2
A textbook for undergraduate students and practicing engineers, suitable for distance learning. - G. Fouskas. «Computer Networks, Part I». Publisher: Hellenic Open University (2002). ISBN: 960-538-468-X
A textbook for undergraduate students and practicing engineers, suitable for distance learning. - G. Fouskas. «Digital Communications». Publisher: Hellenic Open University (2002). ISBN: 960-538-418-3
A textbook for undergraduate students and practicing engineers, suitable for distance learning.
ΕΠΙΛΕΓΜΕΝΕΣ ΔΗΜΟΣΙΕΥΣΕΙΣ
- Apostolopoulos I.D., Siouti E., Fouskas G. and Pandis S.N. Improving real-time high-resolution estimates of PM2.5 concentration fields in urban areas by the SmartAQ+ system with data fusion and machine learning. Atmospheric Environment. 2025; https://doi.org/10.1016/j.atmosenv.2025.121665
- Apostolopoulos I.D., Dovrou E., Androulakis S., Seitanidi K., Georgopoulou M.P., Matrali A., Argyropoulou G., Kaltsonoudis C., Fouskas G. and Pandis S.N. Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning. Chemosensors. 2025 13(4), p.148.; https://doi.org/10.3390/chemosensors13040148
- Apostolopoulos ID, Androulakis S, Kalkavouras P, Fouskas G, Pandis SN. Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning. Sensors. 2024 24(13), 4110; https://doi.org/10.3390/s24134110
- Siouti E, Skyllakou K, Kioutsioukis I, Patoulias D, Apostolopoulos ID, Fouskas G, Pandis SN. Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System. Atmosphere. 2023 Dec 21;15(1):8. https://doi.org/10.3390/atmos15010008
- Apostolopoulos ID, Fouskas G, Pandis SN. Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models. Atmosphere. 2023 Feb 13;14(2):368. https://doi.org/10.3390/atmos14020368
- Siouti E, Skyllakou K, Kioutsioukis I, Patoulias D, Fouskas G, Pandis SN. Development and Application of the SmartAQ High-Resolution Air Quality and Source Apportionment Forecasting System for European Urban Areas. Atmosphere. 2022 Oct 16;13(10):1693. https://doi.org/10.3390/atmos13101693
- Apostolopoulos ID, Fouskas G, Pandis SN. An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions. In: Perakovic D, Knapcikova L, editors. Future Access Enablers for Ubiquitous and Intelligent Infrastructures [Internet]. Cham: Springer International Publishing; 2022. p. 122–40. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; vol. 445) https://doi.org/10.1007/978-3-031-15101-9_9
- C. Panagopoulos, A. Menychtas, G. Fouskas, V. Plagianakos, I. Maglogiannis, K. Delimpasis, M. Galliakis, D. Petropoulos, C. Gkartzios and C. Koumpoulis. (2019, July). A Smart Infotainment System Equipped with Emotional Intelligence. In 17th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH). 2019, July (pp. 214-217). https://doi.org/10.3233/shti190056


