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Towards Adaptive Context-aware Intelligent Environments

Francesco Leotta
speaker DIAG: 
English translation unavailable for leotta@dis.uniroma1.it.
Data dell'evento: 
Tuesday, 14 May, 2024 - 09:30
Aula A6, via Ariosto 25, Roma

Nell'ambito della procedura di valutazione di un Ricercatore a Tempo Determinato tipologia B ai fini della chiamata nel ruolo di Professore 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 trasmesso in modalità telematica su Zoom al link: https://uniroma1.zoom.us/j/81893635492?pwd=Z3RveklmTlFSazRNbmI3Wm1JaXZmUT09

TITLE. Towards Adaptive Context-aware Intelligent Environments

ABSTRACT. Intelligent environments are physical spaces implementing the paradigm of Ambient Intelligence. Humans and machines (including robots) operate in smart spaces according to contextual information subject to sudden changes. Context does not only include static data but also structured and unstructured processes that should be flexible towards users (e.g., smart homes) or must adapt to small and large scale disruptions (e.g., smart factories and supply chains).  While the need of mining and modeling processes in such scenarios has been unanimously recognized by the community, most of the proposed approaches do not properly take into account the specific challenges of smart spaces, applying instead approaches valid for classically considered processes (e.g., customer management). These challenges include bridging the gap between IoT data and process tasks, the need to define processes on the fly, the selection 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 collaborations 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 solutions of practical applicability.

BIO. Francesco Leotta got his PhD in Engineering in Computer Science at Sapienza in 2014, where he currently covers the position of Tenure Track Assistant Professor. 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 users and reactively perform actions to meet user requirements. In this research context, he focused on approaches where techniques typical of business process management (BPM) and process mining can be adapted to the challenging scenarios of smart spaces, including smart homes, smart factories and smart agriculture. Beside this main research activity, his research interests cover advanced user interfaces and service-oriented architectures (SOA). He regularly serves as a reviewer for international conferences and journals in the fields of smart spaces and information systems engineering.


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