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:20181028T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20191027T030000 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20190331T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.18174.field_data.0@www.u-gov-ricerca.uniroma1.it DTSTAMP:20260412T140211Z CREATED:20190510T204923Z DESCRIPTION:Francesco Leotta\, vincitore di procedura valutativa di chiamat a per un posto RTDA per il SSD ING-INF/05\, terrà presso questo dipartimen to un seminario su attività di ricerca svolte e in corso di svolgimento.Il seminario avrà luogo lunedì 20 Maggio 2019 alle 15:30 in Aula A2\, DIAG\, via Ariosto 25.Abstract: Ubiquitous computing embodies a vision of comput ers seamlessly integrating into everyday life\, responding to information provided by sensors in the environment\, with little or no direct instruct ion from users. Smart spaces\, e.g.\, homes\, offices\, factories\, public spaces (e.g.\, museums)\, represent a challenging application area\, whic h is gaining increasing interest in the research and industrial communitie s. A smart space is an environment centred on its human users in which a s et of embedded networked artefacts\, both hardware and software\, collecti vely realize the paradigm of ambient intelligence (AmI). AmI systems sense the environment through low-level sensors\, and make decisions based on ( i) pre-acquired models of human habits\, preferences and environment dynam ics\, and (ii) real-time human users’ instructions. In this sense\, AmI st ands at the crossroad between Human-Computer Interaction and Artificial In telligence. During this seminar\, I discuss how techniques borrowed from p rocess modelling and mining can be challenged and extended to automaticall y extract human-readable and verifiable human habit models\, by filling th e gap between the original applications of business and manufacturing proc esses\, and smart spaces. Additionally\, I show how advanced user interfac es simplifies the way different categories of users\, with different needs \, interact with smart spaces.Short Bio: Francesco Leotta got his PhD in E ngineering in Computer Science at DIAG - Sapienza in 2014\, where he has r ecently finished his appointment as a Research Fellow. Since the beginning of his research activity\, he addressed several challenges related to how users interact with a smart space and how the environment senses the user s and reactively perform actions to meet user requirements. In this resear ch context\, he developed an approach\, called habit mining\, where techni ques typical of Business Process Management (BPM) and Process Mining can b e adapted to user habit modelling and discovery. Beside this main research activity\, his research interests cover advanced users interfaces\, servi ce-oriented architectures (SOA)\, matchmaking applied to entrepreneurship\ , and e-Government. He regularly serves as a reviewer for international co nferences and journals in the fields of smart spaces and information syste ms engineering.  DTSTART;TZID=Europe/Paris:20190520T153000 DTEND;TZID=Europe/Paris:20190520T153000 LAST-MODIFIED:20191008T082735Z LOCATION:Aula A2\, via Ariosto 25\, Roma SUMMARY:Smart Environments. Incorporating Users via Behaviors' Analysis and Advanced Interfaces - Francesco Leotta\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\nBi ografia: \n\n\n\nFrancesco Leotta is a tenure track assistant professor (s cientific disciplinary sector ING-INF/05) at Sapienza Università di Roma\, Italy\, Dipartimento di Ingegneria Informatica\, Automatica e Gestionale Antonio Ruberti (DIAG – Dept. of Computer\, Control and Management Enginee ring).\n\n\nHe got a PhD in Engineering in Computer Science (Dottorato di Ricerca in Ingegneria Informatica) from Sapienza Università di Roma in Sep tember 2014. He previously studied Engineering in Computer Science (Ingegn eria Informatica) at Sapienza Università di Roma\, where he obtained a Bac helor Degree in 2006 and a Master Degree in 2010 both with honours. Since 2010\, he is qualified to practice as Computer Science Engineer (abilitato all'esercizio della professione di Ingegnere). Between the master degree in January 2010 and June 2011\, he served as a research fellow and scienti fic developer at Fondazione Santa Lucia (FSL). Between 2014 and August 201 9 he has been a research fellow at Sapienza Università di Roma – DIAG.\n\n \nInteressi di ricerca: \n\n\n\nThe research of Francesco Leotta concerns  algorithmic\, methodological\, experimental and practical aspects in diffe rent areas of Computer Science\, including ubiquitous computing\, human-co mputer interaction and digital humanities. Such topics are challenged in t he application domains of smart spaces\, smart manufacturing and cultural heritage.\n\n\nSince 2010\, Francesco Leotta has defined a research projec t that involves the employment of techniques from machine learning and dat a mining\, specifically from business process management and mining\, in o rder to address the problem of smart space monitoring and automation. Here \, the term smart space is intended in the widest sense possible\, coverin g smart homes\, factories\, museums\, smart cities and offices. In particu lar\, the goal of the research project is learning and visualizing human h abits and procedures from unlabeled data sources such as sensor logs or ev en written texts and data tables. These habits can be used for anomaly det ection\, recommender systems and automation. Notably\, the term habit mini ng has been introduced by Francesco Leotta to describe this area of resear ch.\n\n\nOne of the peculiarities of this research is the attention to usa bility for both technicians and end users. As witnessed by the success of the NEST thermostat\, the main obstacle to the diffusion of smart spaces i s easiness of installation and use.\n\n\nA functioning smart space is base d on models. These models must be analyzed and validated by experts of the domain. Thus\, one aspect of usability in smart spaces is making the mode ls produced by the system readable to human experts for analysis and inspe ction. Here\, the intuition behind the research of Francesco Leotta is emp loying established formalisms from the area of Business Process Management (BPM). A second aspect of usability applied to smart spaces is making the deployment of smart space systems easy\, reducing the burden of technicia ns in terms of training. This aspect has been addressed through the massiv e employment of unsupervised learning techniques.\n\n\nFrom the point of v iew of usability for the end users\, Francesco Leotta worked on advanced i nterfaces for smart spaces based on the employment of mobile applications and chat-bots applied to the context of smart homes\, cultural heritage an d public administration offices. These advanced interfaces also addressed the problem of accessibility. Part of the research of Francesco Leotta\, d uring the period spent at Fondazione Santa Lucia\, has been indeed devoted to enlarging the range of end users that can benefit of a smart space\, i ncluding people with severe disabilities.\n\n\nRecently\, Francesco Leotta has increasingly focused his attention on the research domain of Industry 4.0. In particular\, he is working on the definition of architectures whi ch allow the automatic composition\, short- and long-term adaptation of di gital 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 currently developed in the context of private ly funded (Rotalaser Fustella 4.0) and publicly funded (FIRST\, ElectroSpi ndle 4.0) projects.\n\n\nAs collateral results of his research and project activity\, Francesco Leotta also published several results in the area of  information systems\, including works on web services\, software architec tures and information retrieval.\n\n\nqualifica_rr: \n\nAssistant professo rs (ricercatori) URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/18174 END:VEVENT END:VCALENDAR