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Rusne Sileryte

Researcher at Delft University of Technology

Publications -  21
Citations -  181

Rusne Sileryte is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Circular economy & Agile software development. The author has an hindex of 6, co-authored 17 publications receiving 129 citations. Previous affiliations of Rusne Sileryte include University of Lisbon.

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Reproducible research and GIScience: an evaluation using AGILE conference papers

TL;DR: To support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats.
Proceedings Article

Passive WiFi monitoring of the rhythm of the campus

TL;DR: In this paper, passive WiFi monitoring of WiFi enabled devices was used to detect users (students, employees, visitors) of buildings at the campus of Delft University of Technology to gain insight into the Rhythm of the Campus: the occupation, duration of stay and moving pattern at and between the different facilities (faculties, library, auditorium).
Journal ArticleDOI

A Geodesign Decision Support Environment for Integrating Management of Resource Flows in Spatial Planning

TL;DR: An open source tool based on the geodesign approach, which links the co-creation of design proposals together with stakeholders, impact simulations informed by geographic contexts, systems thinking, and digital technology is described—the Geodesign Decision Support Environment.
Journal ArticleDOI

Computational Design for Sport Buildings

TL;DR: The paper presents the concept of Multi-objective Multidisciplinary design optimization techniques to support trade-off decisions between multiple conflicting design objectives and interdisciplinary design methodology, during the conceptual design of sport buildings.
Journal ArticleDOI

Automated generation of versatile data model for analyzing urban architectural void

TL;DR: This paper aims to suggest a versatile data model that would allow to separate, interpret, analyze and visualize the urban architectural void using a standardized automated procedure that relies on Gestalt theories for space compartmentalization.