Come risultato delle loro attività nei corsi e nelle tesi, studenti ICT4SS (in grassetto) hanno potuto presentare il loro lavoro a conferenze e pubblicare il loro lavoro in articoli scientifici. Ecco alcuni esempi:
- G.Chiesa, Manuela Vigliotti (2024) Comparing mechanical ventilation control strategies for indoor air quality: Monitoring and simulation results of a school building in northern Italy, Energy and Buildings 322, 114665. DOI: https://doi.org/10.1016/j.enbuild.2024.114665
- Giacomo Chiesa, Matteo Boffa, Chiara Lanza, Vincenzo Baldoni, Federico Fabiani, Arianna Ravera, "Automatic identification of urban functions via social mining", Cities 137, 104262. DOI: https://doi.org/10.1016/j.cities.2023.104262, 2023
- Giacomo Chiesa, Andrea Avignone, Tommaso Carluccio, "A Low-Cost Monitoring Platform and Visual Interface to Analyse Thermal Comfort in Smart Building Applications Using a Citizen–Scientist Strategy", Energies 15(2), 564 (30 pp.), ISSN: 1996-1073, DOI: 10.3390/en15020564, 2022
- Giacomo Chiesa, Luo Yingjun, Sheng Yuxuan, Wang Guoxin, Zhang Bolun, "Development and initial tests of an urban comfort monitoring system", Journal of Physics. Conference Series 2042: 012051: (6pp.) ISSN: 1742-6588, DOI: 10.1088/1742-6596/2042/1/012051, 2021
- Chiesa, G; Di Vita, Daniel; Ghadirzadeh, Ahmadreza; Muñoz Herrera, Andrés Hernando; Leon Rodriguez, Juan Camilo, "A fuzzy-logic IoT lighting and shading control system for smart buildings", AUTOMATION IN CONSTRUCTION 120: 103397, ISSN: 0926-5805, DOI: 10.1016/j.autcon.2020.103397, 2020
- Alessandro Ciociola, Dena Markudova, et al, "Impact of Charging Infrastructure and Policieson Electric Car Sharing Systems”, 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
- Claudia De Vizia, et al, "A win-win algorithm for aggregated residential energy management: resource optimisation and user acceptance learning" pp 1-6. IEEE Computer Society Signature Conference on Computers, Software and Applications (Compsac), 2020
- Matteo Nisi, et al, "Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis." Computing, 2020
- Francesca Pacella, Annalisa Pelati, Stefania Titone, et al, “Assessing optimal U-value in residential buildings in temperate climate conditions considering massive dynamic simulation and statistical uncertainty”, in: Sayigh A (ed) Green Building and Renewable Energy, Springer, Cham, 2020
- Dena Markudova, et al. "Heterogeneous Industrial Vehicle Usage Predictions: A Real Case." EDBT/ICDT, 2019
- Florida M, Pristeri E, Sanna EM, et al, "Parametric analysis by scripting simulations to relate Window-to-Wall Ratio and expected energy needs, submitted to Innovation in Construction Research", 2019
- Orlando Matteo, et al, "A Novel Internet-of-Things Infrastructure to Support Self-Healing Distribution Systems" pp. 1-6. International Conference on Smart Energy Systems and Technologies (SEST), 2018
- Henrique da Fonseca, Seyyed Sadegh Bibak Sareshkeh, Maria José Padilla, et al, "Ventilative cooling effectiveness in office buildings: a parametrical simulation", 2018
- Andrea Della Monica, et al, "Multisensor Navigation in Urban Environment,"IEEE/ION Position, Location and Navigation Symposium (PLANS), 2018
- Badiaa Makhlouf, Alice Tumiatti, et al, "Insulation, Building Mass and Airflows - Provisional and Multi-variable Analysis", SMC - Sustainable Mediterranean Construction 8, pp. 36-40, 2018
- Andrea Morichetta, Andrian Putina, Flavia Salutari, et al, “UMAP: Urban Mobility Analysis Platform to Harvest Car Sharing Data”, IEEE Smart City Innovations 2017