Visual Process Maps: Hands-On Tutorial

A software system managing a smart space takes, among its inputs, models of human behavior; such models are usually difficult to obtain and to validate. The employment of techniques from business process modeling and mining may represent a solution to both the problems, but a set of challenges need to be faced in order to cope with major differences between human activities and business processes. This tutorial will allow attendees to apply process mining to sensor logs acquired from smart spaces.

Prof. Massimo Mecella is an associate professor in Engineering in Computer Science at Sapienza; he is conducting research in the fields of software architectures, information systems, distributed middleware and service oriented computing, mobile and pervasive computing, process management, data and process mining, big data analytics, advanced interfaces and human-computer interaction, focusing on smart applications, environments and communities. He is author of about 170 papers (h-index = 32). He has been/is currently involved in several European and Italian research projects. He regularly acts as EC reviewer for project proposals and projects, and expert of EIT – European Institute for Innovation and Technology.
Prof. Francesco Leotta (PhD in Engineering in Computer Science, currently assistant professor at DIAG - Sapienza) has main research interests in smart environements and cyber-physical systems, including cultural heritage sites. He focuses in particular on the application of machine learning and data mining techniques in such scenarios. During his PhD course, and currently as research fellow, he collaborated to different EU research projects. His current h- index is 9.

Tutorial Outline
Current approaches and techniques in ambient intelligence
Introduction to BPM and Process Mining
Challenges in applying process mining to Smart Environments
Hand-on VPM
Required Software