Dr. Panagiotis Marhavilas, Electrical & Computer Engineer (Dipl. Eng., MSc, PhD x2), Laboratory Teaching & Research Staff Member, Department of Production & Management Engineering , Democritus University of Thrace, Greece
Dr. Panagiotis Marhavilas is a distinguished Electrical and Computer Engineer with dual PhDs—one in Health & Safety Management Systems and another in Space Science & Technology. Currently serving as a Laboratory Teaching and Research Staff Member at the Department of Production & Management Engineering, Democritus University of Thrace, Greece, he brings over a decade of academic excellence and research leadership. His work spans EU-funded projects, curriculum development, and editorial roles in prestigious journals. Recognized for risk analysis and occupational safety, Dr. Marhavilas has published widely and actively contributes to both scientific innovation and public policy development.
Professional Profile
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🎓 Education Background
Dr. Marhavilas holds a Diploma in Electrical and Computer Engineering, an MSc, and two PhDs—one focused on Health & Safety Management Systems and the other in Space Science and Technology. His academic journey is marked by interdisciplinary rigor, combining engineering with complex analytical systems. His education is rooted in research excellence and aligns with high-impact projects in collaboration with ESA, NASA, and EU-funded platforms. These qualifications form the backbone of his technical proficiency and innovative capacity in fields such as electrodynamics, occupational safety, and space data analysis.
💼 Professional Experience
With over 10 years in academia and research, Dr. Marhavilas is currently a faculty member at Democritus University of Thrace. He has played critical roles in policy analysis, EU-funded projects, and university administration. His consultancy work includes two industry-sponsored projects, and his earlier technical contributions to ESA/NASA missions (ULYSSES and VOYAGER) underscore his expertise in data analysis and space science. Beyond research, he mentors students, develops curricula, and chairs scientific committees at international conferences like RETASTE, reinforcing his commitment to education and innovation.
🏅 Awards and Honors
Dr. Marhavilas’ academic recognition includes editorial appointments in Sustainability (MDPI) and Discover Analytics (Springer Nature). He was selected as a Scientific Committee member for the RETASTE Conferences and has long been a committee member of Hellenic Society of Occupational and Environmental Medicine. While no formal individual awards are mentioned, his accolades include leadership roles in international collaborations and publication milestones in high-impact journals, signifying recognition by global academic and scientific communities.
🔬 Research Focus
His primary research areas include occupational health and safety, risk analysis, reliability in construction and industry, electrodynamics, and time series data analysis. His notable project, “System and Workplace Safety: Risk Analysis and Assessment – Probabilistic Approaches and Modelling”, funded by ETAA/TSMEDE, showcases his expertise in applied safety engineering. Additionally, his contributions to ESA and NASA missions and EU projects like SEPServer highlight his interdisciplinary research scope, merging engineering with space and computational science for robust data-driven solutions.
🧾 Conclusion
Dr. Panagiotis Marhavilas exemplifies academic excellence, interdisciplinary expertise, and commitment to public and workplace safety. His contributions—spanning from space science to health and risk management—are well-documented through over 100 Scopus-indexed publications and numerous conference presentations. His roles as guest editor, scientific committee member, and collaborator with international research agencies cement his position as a global thought leader in sustainable engineering. His nomination for the Distinguished Scientist Award reflects both his scholarly impact and societal contribution.
📚 Publication Top Notes
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Title: A new classification model of occupational risk for industries based on Bayesian networks
Journal: Safety Science, 2022
Cited by: 21 articles
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Title: A holistic safety analysis model using fuzzy cognitive maps
Journal: Applied Sciences, 2020
Cited by: 30 articles
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Title: Application of Probabilistic Safety Assessment in Occupational Systems
Journal: International Journal of Occupational Safety and Ergonomics, 2019
Cited by: 18 articles
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Title: A review of risk analysis and assessment methods in construction
Journal: Journal of Construction Engineering and Management, 2021
Cited by: 27 articles
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Title: Risk assessment and sustainability in industrial systems: A modeling approach
Journal: Sustainability (MDPI), 2023
Cited by: 9 articles