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Dr. G.-Fivos Sargentis
National Technical University of Athens

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0 Aesthetics
0 Arts
0 Civil Engineering
0 Materials engineering
0 resource and water management

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Short Biography

George-Fivos Sargentis was born in Athens in 1972. Studied Civil Engineering in National Technical University of Athens. His diploma thesis was entitled "Aesthetic element in water...". He worked and taught at National Technical University of Athens, where he got his Ph.D. by the School of Architecture. His thesis was entitled: "Use and Technical Aspects of Materials in Sculpture". Since 2015 he is Ph.D. candidate in the School of Civil Engineering. His theme is: "Evaluation criteria for the scale development of hydraulic works". He is dealing with sculpture and creation of sculptures, jewellery and toys since very young age and he has presented his work in individual and collective exhibitions. Texts and comments of his are published in international conferences, scientific magazines and press. Member of: Technical Chamber of Greece (TEE-TCG) Chamber of Fine Arts of Greece He is married and he has two daughters.

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Journal article
Published: 11 August 2021 in Sustainability
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Water, energy, land, and food are vital elements with multiple interactions. In this context, the concept of a water–energy–food (WEF) nexus was manifested as a natural resource management approach, aiming at promoting sustainable development at the international, national, or local level and eliminating the negative effects that result from the use of each of the four resources against the other three. At the same time, the transition to green energy through the application of renewable energy technologies is changing and perplexing the relationships between the constituent elements of the nexus, introducing new conflicts, particularly related to land use for energy production vs. food. Specifically, one of the most widespread “green” technologies is photovoltaic (PV) solar energy, now being the third foremost renewable energy source in terms of global installed capacity. However, the growing development of PV systems results in ever expanding occupation of agricultural lands, which are most advantageous for siting PV parks. Using as study area the Thessaly Plain, the largest agricultural area in Greece, we investigate the relationship between photovoltaic power plant development and food production in an attempt to reveal both their conflicts and their synergies.

ACS Style

G.-Fivos Sargentis; Paraskevi Siamparina; Georgia-Konstantina Sakki; Andreas Efstratiadis; Michalis Chiotinis; Demetris Koutsoyiannis. Agricultural Land or Photovoltaic Parks? The Water–Energy–Food Nexus and Land Development Perspectives in the Thessaly Plain, Greece. Sustainability 2021, 13, 8935 .

AMA Style

G.-Fivos Sargentis, Paraskevi Siamparina, Georgia-Konstantina Sakki, Andreas Efstratiadis, Michalis Chiotinis, Demetris Koutsoyiannis. Agricultural Land or Photovoltaic Parks? The Water–Energy–Food Nexus and Land Development Perspectives in the Thessaly Plain, Greece. Sustainability. 2021; 13 (16):8935.

Chicago/Turabian Style

G.-Fivos Sargentis; Paraskevi Siamparina; Georgia-Konstantina Sakki; Andreas Efstratiadis; Michalis Chiotinis; Demetris Koutsoyiannis. 2021. "Agricultural Land or Photovoltaic Parks? The Water–Energy–Food Nexus and Land Development Perspectives in the Thessaly Plain, Greece." Sustainability 13, no. 16: 8935.

Journal article
Published: 30 March 2021 in World
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In human societies, we observe a wide range of types of stratification, i.e., in terms of financial class, political power, level of education, sanctity, and military force. In financial, political, and social sciences, stratification is one of the most important issues and tools as the Lorenz Curve and the Gini Coefficient have been developed to describe some of its aspects. Stratification is greatly dependent on the access of people to wealth. By “wealth”, we mean the quantified prosperity which increases the life expectancy of people. Prosperity is also connected to the water-food-energy nexus which is necessary for human survival. Analyzing proxies of the water-food-energy nexus, we suggest that the best proxy for prosperity is energy, which is closely related to Gross Domestic Product (GDP) per capita and life expectancy. In order to describe the dynamics of social stratification, we formulate an entropic view of wealth in human societies. An entropic approach to income distribution, approximated as available energy in prehistoric societies, till present-day economies, shows that stratification can be viewed as a stochastic process subject to the principle of maximum entropy and occurring when limits to the wealth of society are set, either by the political and economic system and/or by the limits of available technology.

ACS Style

G.-Fivos Sargentis; Theano Iliopoulou; Panayiotis Dimitriadis; Nikolaos Mamassis; Demetris Koutsoyiannis. Stratification: An Entropic View of Society’s Structure. World 2021, 2, 153 -174.

AMA Style

G.-Fivos Sargentis, Theano Iliopoulou, Panayiotis Dimitriadis, Nikolaos Mamassis, Demetris Koutsoyiannis. Stratification: An Entropic View of Society’s Structure. World. 2021; 2 (2):153-174.

Chicago/Turabian Style

G.-Fivos Sargentis; Theano Iliopoulou; Panayiotis Dimitriadis; Nikolaos Mamassis; Demetris Koutsoyiannis. 2021. "Stratification: An Entropic View of Society’s Structure." World 2, no. 2: 153-174.

Chapter
Published: 26 March 2021 in Data Analytics for Cultural Heritage
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Throughout human history, the quantification of aesthetics has intrigued philosophers, artists, and mathematicians alike. In this chapter, a methodology based on stochastic mathematics is applied for the quantification of aesthetic attributes of paintings and landscapes. The paintings analyzed include Da Vinci, Pablo Picasso, and various other celebrated paintings from 1250 AD to modern times. In regard to landscapes, the analysis focuses on the aesthetic transformations imposed to landscapes from wind energy projects. The methodology used is called stochastic 2D-C analysis and is based on a stochastic computational tool that analyzes brightness fluctuation in images. The 2D-C tool is used to measure the degree of variability and in particular the change in variability vs. scale. The application of the tool provides (a) input on the qualitative efficiency of mainstream methods used in landscape-impact analysis, (b) insights into the expression forms of the examined artists and historical periods, and finally (c) evidence that can be used in the search of the originality of an artwork of disputed authorship.

ACS Style

G.-Fivos Sargentis; Romanos Ioannidis; Michalis Chiotinis; Panayiotis G. Dimitriadis; Demetris Koutsoyiannis. Aesthetical Issues with Stochastic Evaluation. Data Analytics for Cultural Heritage 2021, 173 -193.

AMA Style

G.-Fivos Sargentis, Romanos Ioannidis, Michalis Chiotinis, Panayiotis G. Dimitriadis, Demetris Koutsoyiannis. Aesthetical Issues with Stochastic Evaluation. Data Analytics for Cultural Heritage. 2021; ():173-193.

Chicago/Turabian Style

G.-Fivos Sargentis; Romanos Ioannidis; Michalis Chiotinis; Panayiotis G. Dimitriadis; Demetris Koutsoyiannis. 2021. "Aesthetical Issues with Stochastic Evaluation." Data Analytics for Cultural Heritage , no. : 173-193.

Journal article
Published: 11 February 2021 in Heritage
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A physical process is characterized as complex when it is difficult to analyze and explain in a simple way, and even more difficult to predict. The complexity within an art painting is expected to be high, possibly comparable to that of nature. Herein, we apply a 2D stochastic methodology to images of both portrait photography and artistic portraits, the latter belonging to different genres of art, with the aim to better understand their variability in quantitative terms. To quantify the dependence structure and variability, we estimate the Hurst parameter, which is a common dependence metric for hydrometeorological processes. We also seek connections between the identified stochastic patterns and the desideratum that each art movement aimed to express. Results show remarkable stochastic similarities between portrait paintings, linked to philosophical, cultural and theological characteristics of each period.

ACS Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Theano Iliopoulou; Demetris Koutsoyiannis. A Stochastic View of Varying Styles in Art Paintings. Heritage 2021, 4, 333 -348.

AMA Style

G.-Fivos Sargentis, Panayiotis Dimitriadis, Theano Iliopoulou, Demetris Koutsoyiannis. A Stochastic View of Varying Styles in Art Paintings. Heritage. 2021; 4 (1):333-348.

Chicago/Turabian Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Theano Iliopoulou; Demetris Koutsoyiannis. 2021. "A Stochastic View of Varying Styles in Art Paintings." Heritage 4, no. 1: 333-348.

Journal article
Published: 17 January 2021 in Infrastructures
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Even though landscape quality is largely a subjective issue, the integration of infrastructure into landscapes has been identified as a key element of sustainability. In a spatial planning context, the landscape impacts that are generated by infrastructures are commonly quantified through visibility analysis. In this study, we develop a new method of visibility analysis and apply it in a case study of a reservoir (Plastiras dam in Greece). The methodology combines common visibility analysis with a stochastic tool for visual-impacts evaluation; points that generate high visual contrasts in landscapes are considered Focus Points (FPs) and their clustering in landscapes is analyzed trying to answer two questions: (1) How does the clustering of Focus Points (FPs) impact the aesthetic value of the landscape? (2) How can the visual impacts of these FPs be evaluated? Visual clustering is calculated utilizing a stochastic analysis of generated Zones of Theoretical Visibility. Based on the results, we argue that if the visual effect of groups of FPs is positive, then the optimal sitting of FPs should be in the direction of faint clustering, whereas if the effect is negative, the optimal sitting of FPs should be directed to intense clustering. In order to optimize the landscape integration of infrastructure, this method could be a useful analytical tool for environmental impact assessment or a monitoring tool for a project’s managing authorities. This is demonstrated through the case study of Plastiras’ reservoir, where the clustering of positively perceived FPs is found to be an overlooked attribute of its perception as a highly sustainable infrastructure project.

ACS Style

G.-Fivos Sargentis; Romanos Ioannidis; Theano Iliopoulou; Panayiotis Dimitriadis; Demetris Koutsoyiannis. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece). Infrastructures 2021, 6, 12 .

AMA Style

G.-Fivos Sargentis, Romanos Ioannidis, Theano Iliopoulou, Panayiotis Dimitriadis, Demetris Koutsoyiannis. Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece). Infrastructures. 2021; 6 (1):12.

Chicago/Turabian Style

G.-Fivos Sargentis; Romanos Ioannidis; Theano Iliopoulou; Panayiotis Dimitriadis; Demetris Koutsoyiannis. 2021. "Landscape Planning of Infrastructure through Focus Points’ Clustering Analysis. Case Study: Plastiras Artificial Lake (Greece)." Infrastructures 6, no. 1: 12.

Journal article
Published: 25 September 2020 in Sustainability
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Clustering structures appearing from small to large scales are ubiquitous in the physical world. Interestingly, clustering structures are omnipresent in human history too, ranging from the mere organization of life in societies (e.g., urbanization) to the development of large-scale infrastructure and policies for meeting organizational needs. Indeed, in its struggle for survival and progress, mankind has perpetually sought the benefits of unions. At the same time, it is acknowledged that as the scale of the projects grows, the cost of the delivered products is reduced while their quantities are maximized. Thus, large-scale infrastructures and policies are considered advantageous and are constantly being pursued at even great scales. This work develops a general method to quantify the temporal evolution of clustering, using a stochastic computational tool called 2D-C, which is applicable for the study of both natural and human social spatial structures. As case studies, the evolution of the structure of the universe, of ecosystems and of human clustering structures such as urbanization, are investigated using novel sources of spatial information. Results suggest the clear existence both of periods of clustering and declustering in the natural world and in the human social structures; yet clustering is the general trend. In view of the ongoing COVID-19 pandemic, societal challenges arising from large-scale clustering structures are discussed.

ACS Style

G.-Fivos Sargentis; Theano Iliopoulou; Stavroula Sigourou; Panayiotis Dimitriadis; Demetris Koutsoyiannis. Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures. Sustainability 2020, 12, 7972 .

AMA Style

G.-Fivos Sargentis, Theano Iliopoulou, Stavroula Sigourou, Panayiotis Dimitriadis, Demetris Koutsoyiannis. Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures. Sustainability. 2020; 12 (19):7972.

Chicago/Turabian Style

G.-Fivos Sargentis; Theano Iliopoulou; Stavroula Sigourou; Panayiotis Dimitriadis; Demetris Koutsoyiannis. 2020. "Evolution of Clustering Quantified by a Stochastic Method—Case Studies on Natural and Human Social Structures." Sustainability 12, no. 19: 7972.

Journal article
Published: 04 May 2020 in Procedia Manufacturing
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Water is the basis of our civilization and the development of society is intertwined with the exploitation of water resources in various scales, from a well dug to irrigate a garden, to a large dam providing water and energy for a large area. However, for remote mountainous areas, intermittent natural water resources and high seasonal demand the above tasks become challenging. Here we discuss various alternative management options and appropriate solutions on how to exploit water resources meeting the above restrictions under limited infrastructure budgets. As a case study we examine the area of Karyes in Peloponnese that meets the above criteria, exploring various solutions to satisfy the water demand.

ACS Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Romanos Ioannidis; Theano Iliopoulou; Evangelia Frangedaki; Demetris Koutsoyiannis. Optimal utilization of water resources for local communities in mainland Greece (case study of Karyes, Peloponnese). Procedia Manufacturing 2020, 44, 253 -260.

AMA Style

G.-Fivos Sargentis, Panayiotis Dimitriadis, Romanos Ioannidis, Theano Iliopoulou, Evangelia Frangedaki, Demetris Koutsoyiannis. Optimal utilization of water resources for local communities in mainland Greece (case study of Karyes, Peloponnese). Procedia Manufacturing. 2020; 44 ():253-260.

Chicago/Turabian Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Romanos Ioannidis; Theano Iliopoulou; Evangelia Frangedaki; Demetris Koutsoyiannis. 2020. "Optimal utilization of water resources for local communities in mainland Greece (case study of Karyes, Peloponnese)." Procedia Manufacturing 44, no. : 253-260.

Journal article
Published: 25 April 2020 in Heritage
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A physical process is characterized as complex when it is difficult to analyze or explain in a simple way. The complexity within an art painting is expected to be high, possibly comparable to that of nature. Therefore, constructions of artists (e.g., paintings, music, literature, etc.) are expected to be also of high complexity since they are produced by numerous human (e.g., logic, instinct, emotions, etc.) and non-human (e.g., quality of paints, paper, tools, etc.) processes interacting with each other in a complex manner. The result of the interaction among various processes is not a white-noise behavior, but one where clusters of high or low values of quantified attributes appear in a non-predictive manner, thus highly increasing the uncertainty and the variability. In this work, we analyze stochastic patterns in terms of the dependence structure of art paintings of Da Vinci and Picasso with a stochastic 2D tool and investigate the similarities or differences among the artworks.

ACS Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Demetris Koutsoyiannis. Aesthetical Issues of Leonardo Da Vinci’s and Pablo Picasso’s Paintings with Stochastic Evaluation. Heritage 2020, 3, 283 -305.

AMA Style

G.-Fivos Sargentis, Panayiotis Dimitriadis, Demetris Koutsoyiannis. Aesthetical Issues of Leonardo Da Vinci’s and Pablo Picasso’s Paintings with Stochastic Evaluation. Heritage. 2020; 3 (2):283-305.

Chicago/Turabian Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Demetris Koutsoyiannis. 2020. "Aesthetical Issues of Leonardo Da Vinci’s and Pablo Picasso’s Paintings with Stochastic Evaluation." Heritage 3, no. 2: 283-305.

Preprint content
Published: 23 March 2020
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This research uses a stochastic computational tool (2D-C) for characterizing images in order to examine similarities and differences among artworks. 2D-C is measures the degree of variability (change in variability vs. scale) in images using stochastic analysis.

Apparently, beauty is not easy to quantify, even with stochastic measures. The meaning of beauty is linked to the evolution of human civilization and the analysis of the connection between the observer and the beauty (art, nature) has always been of high interest in both philosophy and science. Even though this analysis has mostly been considered part of the so-called social studies and humanities, mathematicians have also been involved. Mathematicians are generally not specialized to contribute, through their expertise, in sociopolitical analysis of messages and motivations of art but have been consistently applying mathematical knowledge, which is their expertise, in trying to explain aesthetics. In most of these analyses, the question at hand is if what is pleasing to the eye or not can be explained though mathematics.

Historically, it is known that from the time of the ancient Egyptian civilization a mathematic rule of the analogies of human body as models of beauty had been developed, and later in ancient Greece, the mathematicians Pythagoras and Euclid were the first known to have searched for a common rule (canon) existing in shapes that are perceived as beautiful. Euclid's Elements (c. 300 BC), for example, contains the first known definition of the “golden ratio”.

The opinions of later philosophers on this pursuit of mathematicians in the analysis of aesthetics were more varied. Leibniz, for example, believed that there is a norm behind every aesthetic feeling which we simply don’t know how to measure. On the contrary, Descartes supports that instead of regarding the aesthetic quality as an inherent quality of a physical object, the distinction of mind and nature have allowed humans to incorporate their own subjective feelings in determining their aesthetic preferences.

Thus many artists knew and apply math and geometry in their artwork, many philosophers tried to connect math and arts. Hence, it might be interesting to examine art work through a stochastic view. Stochastic analyses of the examined artworks are presented using climacograms and through stochastic evaluation with 2D-C we try to quantify some aspects of the artists’ expression. 

ACS Style

George-Fivos Sargentis; Romanos Ioannidis; Ilias Taygetos Meletopoulos; Panagiotis Dimitriadis; Demetris Koutsoyiannis. Aesthetical issues with stochastic evaluation. 2020, 1 .

AMA Style

George-Fivos Sargentis, Romanos Ioannidis, Ilias Taygetos Meletopoulos, Panagiotis Dimitriadis, Demetris Koutsoyiannis. Aesthetical issues with stochastic evaluation. . 2020; ():1.

Chicago/Turabian Style

George-Fivos Sargentis; Romanos Ioannidis; Ilias Taygetos Meletopoulos; Panagiotis Dimitriadis; Demetris Koutsoyiannis. 2020. "Aesthetical issues with stochastic evaluation." , no. : 1.

Journal article
Published: 22 July 2019 in Energies
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Renewable energy (RE) installations and civil works are beneficial in terms of sustainability, but a considerable amount of space in the landscape is required in order to harness this energy. In contemporary environmental theory the landscape is considered an environmental parameter and the transformation of the landscape by RE works has received increasing attention by the scientific community and affected societies. This research develops a novel computational stochastic tool the 2D Climacogram (2D-C) that allows the analysis and comparison of images of landscapes, both original and transformed by RE works. This is achieved by a variability characterization of the grayscale intensity of 2D images. A benchmark analysis is performed for art paintings in order to evaluate the properties of the 2D-C for image analysis, and the change in variability among images. Extensive applications are performed for landscapes transformed by RE works. Results show that the 2D-C is able to quantify the changes in variability of the image features, which may prove useful in the landscape impact assessment of large-scale engineering works.

ACS Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Romanos Ioannidis; Theano Iliopoulou; Demetris Koutsoyiannis. Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works. Energies 2019, 12, 2817 .

AMA Style

G.-Fivos Sargentis, Panayiotis Dimitriadis, Romanos Ioannidis, Theano Iliopoulou, Demetris Koutsoyiannis. Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works. Energies. 2019; 12 (14):2817.

Chicago/Turabian Style

G.-Fivos Sargentis; Panayiotis Dimitriadis; Romanos Ioannidis; Theano Iliopoulou; Demetris Koutsoyiannis. 2019. "Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works." Energies 12, no. 14: 2817.

Journal article
Published: 09 May 2019 in Sustainability
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Modern organized societies require robust infrastructures, among which hydraulic projects, such as water supply and drainage systems, are most important, particularly in water-scarce areas. Athens is a unique example because it is a big city (population 3.7 million) located in a very dry area. In order to support the development of the city, large hydraulic projects had to be constructed during its history and, as a result, Athens currently has one of the largest water supply systems in the world. Could Athenians choose smaller scale infrastructures instead? Analyzing social, technical and economical historical data, we can see that large capital investments were required. In order to evaluate these investments this paper presents a technical summary of the development. An economic analysis displays historical values of these investments in present monetary values. The cost of existing infrastructure is compared to the cost of constructing smaller reservoirs and a model is created to correlate the price of water and the cost of water storage with the size of reservoirs. In particular, if more and smaller reservoirs were built instead of the large existing ones, the cost of the water would significantly increase, as illustrated by modelling the cost using local data.

ACS Style

G.-Fivos Sargentis; Romanos Ioannidis; Georgios Karakatsanis; Stavroula Sigourou; Nikos D. Lagaros; Demetris Koutsoyiannis. The Development of the Athens Water Supply System and Inferences for Optimizing the Scale of Water Infrastructures. Sustainability 2019, 11, 2657 .

AMA Style

G.-Fivos Sargentis, Romanos Ioannidis, Georgios Karakatsanis, Stavroula Sigourou, Nikos D. Lagaros, Demetris Koutsoyiannis. The Development of the Athens Water Supply System and Inferences for Optimizing the Scale of Water Infrastructures. Sustainability. 2019; 11 (9):2657.

Chicago/Turabian Style

G.-Fivos Sargentis; Romanos Ioannidis; Georgios Karakatsanis; Stavroula Sigourou; Nikos D. Lagaros; Demetris Koutsoyiannis. 2019. "The Development of the Athens Water Supply System and Inferences for Optimizing the Scale of Water Infrastructures." Sustainability 11, no. 9: 2657.