BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:Eventi DIAG BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:STANDARD DTSTART:20211031T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20210328T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.23409.field_data.0@diag.uniroma1.it DTSTAMP:20260404T212009Z CREATED:20210630T120530Z DESCRIPTION:Francesco Leotta\, vincitore della procedura selettiva di chiam ata per n. 1 posto di Ricercatore a tempo determinato - Tipologia B presso il Dipartimento di Ingegneria informatica\, automatica e gestionale “Anto nio Ruberti”\, per il settore concorsuale 09/H1\, ssd ING-INF/05 – Sistemi di elaborazione delle informazioni\, codice bando 2020RTDB015\, D.R. n. 2 322/2020 del 22.09.2020\, pubblicato in data 06/10/2020\, come previsto da ll'art. 11\, comma 1\, lett. k dello Statuto\, terrà un seminario pubblico sulle attività di ricerca svolte e in corso di svolgimento.Il seminario a vrà luogo lunedì 5 luglio 2021 alle ore 9:30 in modalità telematica.Per pa rtecipare connettersi a Zoom secondo le seguenti indicazionihttps://unirom a1.zoom.us/j/88126105808?pwd=L3dRVk1taFJCQnRkRU1nZ3BYSEUwdz09ID riunione: 881 2610 5808Passcode: 061762Title: Smart Environments: Methodologies and ApplicationsAbstract: The notion of smart environment embodies a vision of a physical space populated by networked artefacts (sensors\, actuators\, processing units) collectively realizing the paradigm of Ambient Intellige nce (AmI)\, i.e.\, the idea of employing models of (i) the environment\, ( ii) machines\, robots and humans operating inside it\, and (iii) goals and preferences\, in order to automatically provide intelligent services. As a consequence\, the study of smart environments stands at the crossroad be tween information systems\, human-computer interaction and artificial inte lligence. This seminar will discuss different solutions applied to the cha llenging application scenarios of smart homes\, smart factories and smart cities proposing a research roadmap. In particular\, the seminar will focu s on the application of (i) process mining to smart homes\, (ii) automated planning to smart factories\, and (iii) statistical methods applied to th rottling for smart city services.Bio: Francesco Leotta got a PhD in Engine ering in Computer Science from Sapienza Università di Roma in September 20 14. The research activity of Francesco Leotta concerns algorithmic\, metho dological\, experimental and practical aspects in different areas of Compu ter Science\, including smart environments and information systems. He reg ularly serves as a reviewer for internationally renowned journals (e.g.\, SPE\, Intelligent Systems\, JAICH) and conferences (e.g.\, BPM\, IE)\, hol ding scientific and organizational roles (e.g.\, recently short paper chai r for IE and demo chair for BPM). He is intensively involved in publicly ( e.g.\, H2020 program) and privately (e.g.\, Industry 4.0 research contract s) funded research projects covering the different aspects of his research activity. Recently\, he has been the recipient of the best paper award at IEEE International Conference on Web Services (ICWS 2019).   DTSTART;TZID=Europe/Paris:20210705T093000 DTEND;TZID=Europe/Paris:20210705T093000 LAST-MODIFIED:20210630T121911Z LOCATION:Roma SUMMARY:Smart Environments: Methodologies and Applications - Francesco Leot ta\n\n\n \n \n\n \n\n\nFrancesco\n\n\nLeotta \n\n \n\n \n\n\n\n \n\nRicercatore\n\n\npagina personale\n\nstanza: \n\nB218\n\ntelefono: \n \n+39 0677274012 \n\n \n\n \n\nBiografia: \n\n\n\nFrancesco Leotta is a tenure track assistant professor (scientific disciplinary sector ING-IN F/05) at Sapienza Università di Roma\, Italy\, Dipartimento di Ingegneria Informatica\, Automatica e Gestionale Antonio Ruberti (DIAG – Dept. of Com puter\, Control and Management Engineering).\n\n\nHe got a PhD in Engineer ing in Computer Science (Dottorato di Ricerca in Ingegneria Informatica) f rom Sapienza Università di Roma in September 2014. He previously studied E ngineering in Computer Science (Ingegneria Informatica) at Sapienza Univer sità di Roma\, where he obtained a Bachelor Degree in 2006 and a Master De gree in 2010 both with honours. Since 2010\, he is qualified to practice a s Computer Science Engineer (abilitato all'esercizio della professione di Ingegnere). Between the master degree in January 2010 and June 2011\, he s erved as a research fellow and scientific developer at Fondazione Santa Lu cia (FSL). Between 2014 and August 2019 he has been a research fellow at S apienza Università di Roma – DIAG.\n\n\nInteressi di ricerca: \n\n\n\nThe research of Francesco Leotta concerns algorithmic\, methodological\, exper imental and practical aspects in different areas of Computer Science\, inc luding ubiquitous computing\, human-computer interaction and digital human ities. Such topics are challenged in the application domains of smart spac es\, smart manufacturing and cultural heritage.\n\n\nSince 2010\, Francesc o Leotta has defined a research project that involves the employment of te chniques from machine learning and data mining\, specifically from busines s process management and mining\, in order to address the problem of smart space monitoring and automation. Here\, the term smart space is intended in the widest sense possible\, covering smart homes\, factories\, museums\ , smart cities and offices. In particular\, the goal of the research proje ct is learning and visualizing human habits and procedures from unlabeled data sources such as sensor logs or even written texts and data tables. Th ese habits can be used for anomaly detection\, recommender systems and aut omation. Notably\, the term habit mining has been introduced by Francesco Leotta to describe this area of research.\n\n\nOne of the peculiarities of this research is the attention to usability for both technicians and end users. As witnessed by the success of the NEST thermostat\, the main obsta cle to the diffusion of smart spaces is easiness of installation and use. \n\n\nA functioning smart space is based on models. These models must be a nalyzed and validated by experts of the domain. Thus\, one aspect of usabi lity in smart spaces is making the models produced by the system readable to human experts for analysis and inspection. Here\, the intuition behind the research of Francesco Leotta is employing established formalisms from the area of Business Process Management (BPM). A second aspect of usabilit y applied to smart spaces is making the deployment of smart space systems easy\, reducing the burden of technicians in terms of training. This aspec t has been addressed through the massive employment of unsupervised learni ng techniques.\n\n\nFrom the point of view of usability for the end users\ , Francesco Leotta worked on advanced interfaces for smart spaces based on the employment of mobile applications and chat-bots applied to the contex t of smart homes\, cultural heritage and public administration offices. Th ese advanced interfaces also addressed the problem of accessibility. Part of the research of Francesco Leotta\, during the period spent at Fondazion e Santa Lucia\, has been indeed devoted to enlarging the range of end user s that can benefit of a smart space\, including people with severe disabil ities.\n\n\nRecently\, Francesco Leotta has increasingly focused his atten tion on the research domain of Industry 4.0. In particular\, he is working on the definition of architectures which allow the automatic composition\ , short- and long-term adaptation of digital twins in industrial contexts thanks to the application of techniques taken from artificial intelligence to the Internet of Things. In addition\, this research activity is curren tly developed in the context of privately funded (Rotalaser Fustella 4.0) and publicly funded (FIRST\, ElectroSpindle 4.0) projects.\n\n\nAs collate ral results of his research and project activity\, Francesco Leotta also p ublished several results in the area of information systems\, including wo rks on web services\, software architectures and information retrieval.\n \n\nqualifica_rr: \n\nAssistant professors (ricercatori) URL;TYPE=URI:http://diag.uniroma1.it/node/23409 END:VEVENT END:VCALENDAR