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:20231029T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20241027T030000 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20240331T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.28119.field_data.0@www.u-gov-ricerca.uniroma1.it DTSTAMP:20260404T191331Z CREATED:20240508T200859Z DESCRIPTION:Nell'ambito della procedura di valutazione di un Ricercatore a Tempo Determinato tipologia B ai fini della chiamata nel ruolo di Professo re di II fascia ai sensi dell’art. 24\, comma 5\, legge 240/2010\, SSD ING -INF/05 – SC 09/H1\, Francesco Leotta terrà un seminario pubblico in data 14 maggio 2024\, ore 09.30\, presso aula A6.Il seminario sarà anche trasme sso in modalità telematica su Zoom al link: https://uniroma1.zoom.us/j/818 93635492?pwd=Z3RveklmTlFSazRNbmI3Wm1JaXZmUT09TITLE. Towards Adaptive Conte xt-aware Intelligent EnvironmentsABSTRACT. Intelligent environments are ph ysical spaces implementing the paradigm of Ambient Intelligence. Humans an d machines (including robots) operate in smart spaces according to context ual information subject to sudden changes. Context does not only include s tatic data but also structured and unstructured processes that should be f lexible towards users (e.g.\, smart homes) or must adapt to small and larg e scale disruptions (e.g.\, smart factories and supply chains).  While the need of mining and modeling processes in such scenarios has been unanimou sly recognized by the community\, most of the proposed approaches do not p roperly take into account the specific challenges of smart spaces\, applyi ng instead approaches valid for classically considered processes (e.g.\, c ustomer management). These challenges include bridging the gap between IoT data and process tasks\, the need to define processes on the fly\, the se lection of the best process model according to contextual variables (e.g.\ , machine wear) and varying rewards\, the automated enactment of processes preserving the safety of the humans\, considering the possible collaborat ions with robots and machines\, and\, finally\, the unsupervised nature of involved learning tasks. In this seminar\, we will present recent results and we will outline how to tackle identified challenges towards novel sol utions of practical applicability.BIO. Francesco Leotta got his PhD in Eng ineering in Computer Science at Sapienza in 2014\, where he currently cove rs the position of Tenure Track Assistant Professor. Since the beginning o f his research activity\, he addressed several challenges related to how u sers interact with a smart space and how the environment senses the users and reactively perform actions to meet user requirements. In this research context\, he focused on approaches where techniques typical of business p rocess management (BPM) and process mining can be adapted to the challengi ng scenarios of smart spaces\, including smart homes\, smart factories and smart agriculture. Beside this main research activity\, his research inte rests cover advanced user interfaces and service-oriented architectures (S OA). He regularly serves as a reviewer for international conferences and j ournals in the fields of smart spaces and information systems engineering.   DTSTART;TZID=Europe/Paris:20240514T093000 DTEND;TZID=Europe/Paris:20240514T093000 LAST-MODIFIED:20240508T214225Z LOCATION:Aula A6\, via Ariosto 25\, Roma SUMMARY:Towards Adaptive Context-aware Intelligent Environments - 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\nBiografia: \n\n\n\nFrancesco Leotta  is a tenure track assistant professor (scientific disciplinary sector ING -INF/05) at Sapienza Università di Roma\, Italy\, Dipartimento di Ingegner ia Informatica\, Automatica e Gestionale Antonio Ruberti (DIAG – Dept. of Computer\, Control and Management Engineering).\n\n\nHe got a PhD in Engin eering in Computer Science (Dottorato di Ricerca in Ingegneria Informatica ) from Sapienza Università di Roma in September 2014. He previously studie d Engineering in Computer Science (Ingegneria Informatica) at Sapienza Uni versità di Roma\, where he obtained a Bachelor Degree in 2006 and a Master Degree in 2010 both with honours. Since 2010\, he is qualified to practic e as Computer Science Engineer (abilitato all'esercizio della professione di Ingegnere). Between the master degree in January 2010 and June 2011\, h e served as a research fellow and scientific developer at Fondazione Santa Lucia (FSL). Between 2014 and August 2019 he has been a research fellow a t Sapienza Università di Roma – DIAG.\n\n\nInteressi di ricerca: \n\n\n\nT he research of Francesco Leotta concerns algorithmic\, methodological\, ex perimental and practical aspects in different areas of Computer Science\, including ubiquitous computing\, human-computer interaction and digital hu manities. Such topics are challenged in the application domains of smart s paces\, smart manufacturing and cultural heritage.\n\n\nSince 2010\, Franc esco Leotta has defined a research project that involves the employment of techniques from machine learning and data mining\, specifically from busi ness process management and mining\, in order to address the problem of sm art space monitoring and automation. Here\, the term smart space is intend ed in the widest sense possible\, covering smart homes\, factories\, museu ms\, smart cities and offices. In particular\, the goal of the research pr oject is learning and visualizing human habits and procedures from unlabel ed data sources such as sensor logs or even written texts and data tables. These habits can be used for anomaly detection\, recommender systems and automation. Notably\, the term habit mining has been introduced by Frances co 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 e nd users. As witnessed by the success of the NEST thermostat\, the main ob stacle to the diffusion of smart spaces is easiness of installation and us e.\n\n\nA functioning smart space is based on models. These models must be analyzed and validated by experts of the domain. Thus\, one aspect of usa bility in smart spaces is making the models produced by the system readabl e to human experts for analysis and inspection. Here\, the intuition behin d the research of Francesco Leotta is employing established formalisms fro m the area of Business Process Management (BPM). A second aspect of usabil ity applied to smart spaces is making the deployment of smart space system s easy\, reducing the burden of technicians in terms of training. This asp ect has been addressed through the massive employment of unsupervised lear ning techniques.\n\n\nFrom the point of view of usability for the end user s\, Francesco Leotta worked on advanced interfaces for smart spaces based on the employment of mobile applications and chat-bots applied to the cont ext of smart homes\, cultural heritage and public administration offices. These advanced interfaces also addressed the problem of accessibility. Par t of the research of Francesco Leotta\, during the period spent at Fondazi one Santa Lucia\, has been indeed devoted to enlarging the range of end us ers that can benefit of a smart space\, including people with severe disab ilities.\n\n\nRecently\, Francesco Leotta has increasingly focused his att ention on the research domain of Industry 4.0. In particular\, he is worki ng on the definition of architectures which allow the automatic compositio n\, short- and long-term adaptation of digital twins in industrial context s thanks to the application of techniques taken from artificial intelligen ce to the Internet of Things. In addition\, this research activity is curr ently developed in the context of privately funded (Rotalaser Fustella 4.0 ) and publicly funded (FIRST\, ElectroSpindle 4.0) projects.\n\n\nAs colla teral 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 architectures and information retrieval. \n\n\nqualifica_rr: \n\nAssistant professors (ricercatori) URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/28119 END:VEVENT END:VCALENDAR