Highlights from ICT4SS students

As an outcome of their activities in the courses and thesis, students (highlighted in boldface) have been able to present their work in conference and to publish their work in scientific papers. Here are some examples:

  • 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 MPristeri ESanna 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 FonsecaSeyyed Sadegh Bibak SareshkehMaria 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 MorichettaAndrian PutinaFlavia Salutari, et al, “UMAP: Urban Mobility Analysis Platform to Harvest Car Sharing Data”, IEEE Smart City Innovations 2017