Responsible: Prof. Maria Grazia Albanesi.
At the Department of Electrical, Computer and Biomedical Engineering University of Pavia (Pavia, Italy), researches in computer engineering are currently being developed in the field of Computational Sustainability, in the following sectors:
- Computer Science for Environmental Sustainability (specializations: evaluation of land use, protection of biodiversity)
- Computer Science for Social Sustainability (specialization: education)
- See also: Recent trends (New!)
Here is a brief description, with the most important publications for each theme. For a complete list of publications, click here.
Computer Science for environmental sustainability (specializations: evaluation of land use, protection of biodiversity)
Objectives: to develop methods and algorithms and define performance indices to improve the quality of life in human settlements and ecosystems, with particular attention to natural forests.
Technologies: visual data analysis, image processing techniques for extracting information from georeferenced maps, digital satellite images and unstructured data.
Most significant publications:
On biodiversity preservation:
- Silvia Assini, Maria Grazia Albanesi, Matteo Barcella: “Assessing the conservation value of forests: the redefinition of the Forest Status Quality indicator in a multiscale approach and its application in northern Italy (Lombardy)”, Plant Sociology, Vol. 55, No. 2, December 2018, pp. 9-30, DOI 10.7338/pls2018552/02
- Silvia Assini, Maria Grazia Albanesi: “A New Improvement of the Naturalistic Indicator of Forest Quality. An Italian Case Study” , Proceedings of the Seventh International Conference on Bioenvironment, Biodiversity and Renewable Energies (BIONATURE 2016), Lisbon (Portugal), 26-20 June 2016, pp. 7-10, Copyright (©) IARIA, 2016, ISBN 978-1-61208-489-3 (best paper award). Open Access Online ThinkMind™ Digital Library Available online.
- Silvia Assini, Maria Grazia Albanesi: “A Naturalistic Indicator of the Forest Quality and its Relationship with the Land Use Anthropentropy Factor”, Proceedings of the Sixth International Conference on Bioenvironment, Biodiversity and Renewable Energies (BIONATURE 2015), Rome (Italy), 24-29 May 2015, pp. 27-33, Copyright (©) IARIA, 2015, ISBN 978-1-61208-410-7 (best paper award). Open Access Online ThinkMind™ Digital Library Available online.
- Silvia Assini, Maria Grazia Albanesi: “A New Biodiversity Composite Indicator Based on Anthropentropy and Forest Quality Assessment – Framework, Theory, and Case Studies of Italian Territory”, International Journal On Advances in Life Sciences, vol. 7, n. 3&4, December 2015, pp. 177-194. Available on line.
On land use estimation:
- G. Albanesi: “An Interdisciplinary Approach for Environmental Sustainability: A New Metric for Land Use Estimation”, Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2022, Orlando (Florida), USA, 8-11 March, 2022) Vol. I, pp. 75-80, 2022, ISBN: 978-1-950492-60-2, ISSN: 2771-5914,https://doi.org/10.54808/IMCIC2022.01.75.
- Maria Grazia Albanesi, Roberto Albanesi: “A Decision-making Support System for Land Use Estimation Based on a New Anthropentropy Predictive Model for Environmental Preservation – Theory, Model and Web–based Implementation”, International Journal On Advances in Intelligent Systems, v 7 n 1&2, pp. 85-102, ISBN-1942-2679, 2014. Open Access Online ThinkMind™ Digital Library Available in line.
- Maria Grazia Albanesi, Roberto Albanesi: “A New Approach Based on Computer Vision and Collaborative Social Networking for Environmental Preservation: Theory, Tools and Results of Italian ACI Project”, Proceedings of The Eighth International Multi-Conference on Computing in the Global Information Technology, Nice (France), 21-26 July 2013, 16-21, Copyright (©) IARIA, 2013, ISBN 978-1-61208-283-7 (best paper award). Open Access Online ThinkMind™ Digital Library: available online.
Objectives: to develop methods and algorithms and define performance indices to improve university educational activities and individual promotion in lifelong learning.
Technologies: social networks, crowdsourcing, open data, gamification, hybrid and virtual communities.
Most significant publication:
Maria Grazia Albanesi, Riccardo Amadeo, Giovanni Vecchio: “Research on Efficacy of Using Social Networks in Academic Teaching. Metrics, Experiments and Results”, European Journal of Sustainable Development, Vol. 3, N. 3 pp. 25-34, 2014. ISSN: 2239-5938, doi:10.14207/ejsd.2014.v3n3p25. Available on line.
Recently, starting from the end of 2022, two other multidisciplinary research projects are currently under development, a natural continuation of the experiences previously described:
- The study of communication techniques for multidisciplinary and transdisciplinary research. Maria Grazia Albanesi is in fact among the founding members of the Inter-National Association FOR Trans-Disciplinary Communication (AFTC), in cooperation with International Institute of Informatics and Systemics.
- The definition and development of indicators and algorithms for Environmental Sustainability based on Interdisciplinary approaches for ecosystem restoration, in cooperation with Dept. of Earth and Environment Sciences, University of Pavia (Resp. Prof. Assini).