Unità di Sistemi Intelligenti e Sicuri per la Telemedicina
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Curriculum vitae
Filippo Lanubile is a Full Professor of computer science at the University of Bari, Italy, where he leads the Collaborative Development Research Group. He is the Rector’s Delegate for IT Services and the Chair of the Scientific Board of the e-infrastructure ReCaS, Center of Bari.
From 1995 to 1997, he was a research associate in the Experimental Software Engineering Group at the University of Maryland. He is a recipient of a NASA Group Achievement Award (1996), an IBM Eclipse Innovation Award (2006), an IBM Faculty Award (2008), and the Software Engineering Innovation Foundation Award from Microsoft Research (2011).
His research interests include human factors in software engineering, global software development, online communities, and software engineering for AI-enabled systems.
Filippo Lanubile is the General Chair of the 2020/2021 editions of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). In 2013, he has been the General Chair of the IEEE International Conference on Global Software Engineering (ICGSE), and in 2008 the Program Chair of the same conference. He is a member of the Steering Committee of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement and the Chair of the Steering Committee of the ACM/IEEE Int. Conf. on Global Software Engineering. He is also a program committee member of many ACM and IEEE conferences. Filippo Lanubile is a member of the Editorial Board of the journal Empirical Software Engineering (Springer), Software Quality Journal (Springer) and the Advisory Board of IEEE Software.
Curriculum vitae
Filippo Lanubile is a Full Professor of computer science at the University of Bari, Italy, where he leads the Collaborative Development Research Group. He is the Rector’s Delegate for IT Services and the Chair of the Scientific Board of the e-infrastructure ReCaS, Center of Bari.
From 1995 to 1997, he was a research associate in the Experimental Software Engineering Group at the University of Maryland. He is a recipient of a NASA Group Achievement Award (1996), an IBM Eclipse Innovation Award (2006), an IBM Faculty Award (2008), and the Software Engineering Innovation Foundation Award from Microsoft Research (2011).
His research interests include human factors in software engineering, global software development, online communities, and software engineering for AI-enabled systems.
Filippo Lanubile is the General Chair of the 2020/2021 editions of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). In 2013, he has been the General Chair of the IEEE International Conference on Global Software Engineering (ICGSE), and in 2008 the Program Chair of the same conference. He is a member of the Steering Committee of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement and the Chair of the Steering Committee of the ACM/IEEE Int. Conf. on Global Software Engineering. He is also a program committee member of many ACM and IEEE conferences. Filippo Lanubile is a member of the Editorial Board of the journal Empirical Software Engineering (Springer), Software Quality Journal (Springer) and the Advisory Board of IEEE Software.
Il team
GIUSEPPE PIRLO received the degree (cum laude) in computer science from the Computer Science Department, University of Bari, Italy, in 1986. Since 1986, he has been carrying out research in the field of computer science and neuroscience, signal processing, handwriting processing, automatic signature verification, biometrics, pattern recognition, and statistical data processing. Since 1991, he has been an Assistant Professor with the Computer Science Department, University of Bari, where he is currently a Full Professor. He developed several scientific projects and has authored over 250 papers on international journals, scientific books, and proceedings. He is a member of the Governing Board of the Consorzio Interuniversitario Nazionale per l’Informatica (CINI) and the Governing Board of the Società Italiana di e-Learning and the e-Learning Committee of the University of Bari. He is currently the Deputy Representative of the University of Bari in the Governing Board of CINI. He is also the Managing Advisor of the University of Bari for the Digital Agenda and Smart Cities. He is the Chair of the Associazione Italiana Calcolo Automatico-Puglia. He is also a member of the Gruppo Italiano Ricercatori Pattern Recognition, the International Association Pattern Recognition, the Stati Generali dell’Innovazione, and the Gruppo Ingegneria Informatica. He was the General Chair of the International Workshop on Emerging Aspects in Handwriting Signature Processing, Naples, in 2013, and the International Workshop on Image-based Smart City Applications, Genoa, in 2015, and the General Co-Chair of the International Conference on Frontiers in Handwriting Recognition, Bari, in 2012. He was a Reviewer in the Scientific Committee and the Program Committee of many international conferences in the field of computer science, pattern recognition, and signal processing, such as ICPR, ICDAR, ICFHR, IWFHR, ICIAP, VECIMS, and CISMA. He is also the Editor of several books. He was an Editor of the Special Issue ‘‘Handwriting Recognition and Other PR Applications’’ of the Pattern Recognition journal, in 2014 and the Special Issue ‘‘Handwriting Biometrics’’ of the IET Biometrics Journal, in 2014. He was the Guest Co-Editor of the Special Issue of the IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS on Drawing and Handwriting Processing for User-Centered Systems, in 2017. He was also the Guest Editor of the Special Issue of the Je-LKS journal on Steps toward the Digital Agenda: Open Data to Open Knowledge, in 2014. He is currently an Associate Editor of the IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS. He also serves as a Reviewer for many international journals, including the IEEE T-PAMI, IEEE T-FS, IEEE T-SMC, IEEE T-EC, IEEE T-IP, IEEE T-IFS, Pattern Recognition, IJDAR, and IPL.
Paolo Buono is Associate Professor at the Computer Science department of the University of Bari, Italy. His has a PhD in Computer Science in the field of visual data analysis. His current research interests include Visual Analytics, Information Visualization, Human-Computer Interaction, Mobile Security, Telementoring.
Since 2017 he is visiting scientist and external collaborator at the AVIZ team, INRIA-Saclay, Paris (France). He has been visiting scientist for several short periods at Fraunhofer IPSI (Darmstadt, Germany). He has been visiting scientist at Human-Computer Interaction Lab of the University of Maryland (USA).
From 2013 to 2016 Paolo Buono has been CEO of the University of Bari spin off “LARE”, aiming at supporting surgeons during the surgery procedures with real-time remote assistance.
Paolo Buono is General co-Chair of INTERACT 2021, the 18TH IFIP TC. 13 International Conference on Human-Computer Interaction. Program co-Chair of AVI 2016, the 13th International Conference on Advanced Visual Interfaces. Publicity co-Chair of IS-EUD 2011, the 3rd International Symposium on End-User Development. Demo co-Chair of AVI 2010, the 10th International Conference on Advanced Visual Interfaces. Track co-Chair of HSI 2009 and HIS 2010, the IEEE International Conference on Human-Machine Interaction. Organizational Overviews track co-Chair of INTERACT 2005, the 10th IFIP TC. 13 International Conference on Human-Computer Interaction.
He is co-author of more than 80 papers published in journals (e.g, TVCG, ACM Computing Survey, IJHCS), international conferences (e.g, IEEE VIS, EuroVis, AVI, IS-EUD, HCII) and collections. He is (has been) either member of the scientific program committee or reviewer of International Conferences (e.g., VAST, AVI, DMS).
He has taught more than 50 courses at various degree levels (Bachelor, Master, PhD), including Data Bases, Algorithms and Data Structures, Human-Computer Interaction, Mobile development, Mobile security, Data Visualization, Information Visualization, Intelligent Computing Systems.
Paolo Buono has been involved in many research projects. He has been responsible, for the UNIBA research unit, of the LOGIN (LOGistica INtegrata)- 2012-2015 MI01_00294 project funded by MISE. From 2005 to 2007 he was responsible for the “E” action line of a regional agreement for the Apulian environment actions program. It was developed an on-line system to manage information about the industries of the Puglia region and their emissions on air.
Paolo Buono is a member of the METEA and CITEL interdepartmental research centers of the University of Bari. He’s member of ACM, IEEE, ACM SIGHCHI, SICHCHI Italy.
Paolo Buono is Associate Professor at the Computer Science department of the University of Bari, Italy. His has a PhD in Computer Science in the field of visual data analysis. His current research interests include Visual Analytics, Information Visualization, Human-Computer Interaction, Mobile Security, Telementoring.
Since 2017 he is visiting scientist and external collaborator at the AVIZ team, INRIA-Saclay, Paris (France). He has been visiting scientist for several short periods at Fraunhofer IPSI (Darmstadt, Germany). He has been visiting scientist at Human-Computer Interaction Lab of the University of Maryland (USA).
From 2013 to 2016 Paolo Buono has been CEO of the University of Bari spin off “LARE”, aiming at supporting surgeons during the surgery procedures with real-time remote assistance.
Paolo Buono is General co-Chair of INTERACT 2021, the 18TH IFIP TC. 13 International Conference on Human-Computer Interaction. Program co-Chair of AVI 2016, the 13th International Conference on Advanced Visual Interfaces. Publicity co-Chair of IS-EUD 2011, the 3rd International Symposium on End-User Development. Demo co-Chair of AVI 2010, the 10th International Conference on Advanced Visual Interfaces. Track co-Chair of HSI 2009 and HIS 2010, the IEEE International Conference on Human-Machine Interaction. Organizational Overviews track co-Chair of INTERACT 2005, the 10th IFIP TC. 13 International Conference on Human-Computer Interaction.
He is co-author of more than 80 papers published in journals (e.g, TVCG, ACM Computing Survey, IJHCS), international conferences (e.g, IEEE VIS, EuroVis, AVI, IS-EUD, HCII) and collections. He is (has been) either member of the scientific program committee or reviewer of International Conferences (e.g., VAST, AVI, DMS).
He has taught more than 50 courses at various degree levels (Bachelor, Master, PhD), including Data Bases, Algorithms and Data Structures, Human-Computer Interaction, Mobile development, Mobile security, Data Visualization, Information Visualization, Intelligent Computing Systems.
Paolo Buono has been involved in many research projects. He has been responsible, for the UNIBA research unit, of the LOGIN (LOGistica INtegrata)- 2012-2015 MI01_00294 project funded by MISE. From 2005 to 2007 he was responsible for the “E” action line of a regional agreement for the Apulian environment actions program. It was developed an on-line system to manage information about the industries of the Puglia region and their emissions on air.
Paolo Buono is a member of the METEA and CITEL interdepartmental research centers of the University of Bari. He’s member of ACM, IEEE, ACM SIGHCHI, SICHCHI Italy.
Giuseppe Desolda is Assistant Professor at the Computer Science Department of the University of Bari Aldo Moro, Italy. He is a member of the IVU Lab (Interaction Visualization Usability & UX Lab) where he coordinates research on Novel Interaction Techniques, Internet of Things, and Usable Security. His research interests are on Human-Computer Interaction and, in particular, interaction with IoT and Ubiquitous Systems, Linked Open Data, Usability, UX and HCI for AI. He is member of ACM, ACM SIGCHI and SIGCHI Italy (the Italian Chapter of ACM SIGCHI). He is member of the Italian Working Group on Usability, called GLU-X (Gruppo di Lavoro per l’Usabilità e UX). He was co-founder and CEO of LARE, a spin-off of the University of Bari aiming at providing real-time remote support to surgeons during surgeries, through audio-video connection and telestration.
He is co-author of more than 70 papers published in journals (e.g, TOCHI, ACM Computing Survey, IJHCS, BIT), international conferences (e.g, AVI, ICWE, IS-EUD, HCII) and collections. He is (has been) either member of the scientific program committee or reviewer of International Conferences (e.g., CHI, CoopIS, PerDis, INTERACT, CSCW, AVI). He is Associate Editor of IEEE Access Journal and in the reviewer board of international journals (e.g., TOCHI, IJHCS, TWEB).
He chaired several international events related to the field of HCI: Short Paper Chair at INTERACT 2021; Proceeding Chair at PerDis 2019; Demo Chair at INTERACT 2019; Posters & Demo Chairs at AVI 2018; Publicity Chair at AVI 2016; Co-chair of the "SERVE: Smart Ecosystems cReation by Visual dEsign" workshop (2016); Co-chair of the “Human-centered cybersecurity” workshop (2019).
Since 2013 he has been regularly involved in various research projects of the Department of Computer Science (LIFT 2020-2023, eGLU-BOX Pro 2020, eGLU-BOX PA, PA++, CHAT, LOGIN, VINCENTE) sponsored by EU and Italian organizations, where he coordinated different Work Packages.
Giuseppe Desolda is Assistant Professor at the Computer Science Department of the University of Bari Aldo Moro, Italy. He is a member of the IVU Lab (Interaction Visualization Usability & UX Lab) where he coordinates research on Novel Interaction Techniques, Internet of Things, and Usable Security. His research interests are on Human-Computer Interaction and, in particular, interaction with IoT and Ubiquitous Systems, Linked Open Data, Usability, UX and HCI for AI. He is member of ACM, ACM SIGCHI and SIGCHI Italy (the Italian Chapter of ACM SIGCHI). He is member of the Italian Working Group on Usability, called GLU-X (Gruppo di Lavoro per l’Usabilità e UX). He was co-founder and CEO of LARE, a spin-off of the University of Bari aiming at providing real-time remote support to surgeons during surgeries, through audio-video connection and telestration.
He is co-author of more than 70 papers published in journals (e.g, TOCHI, ACM Computing Survey, IJHCS, BIT), international conferences (e.g, AVI, ICWE, IS-EUD, HCII) and collections. He is (has been) either member of the scientific program committee or reviewer of International Conferences (e.g., CHI, CoopIS, PerDis, INTERACT, CSCW, AVI). He is Associate Editor of IEEE Access Journal and in the reviewer board of international journals (e.g., TOCHI, IJHCS, TWEB).
He chaired several international events related to the field of HCI: Short Paper Chair at INTERACT 2021; Proceeding Chair at PerDis 2019; Demo Chair at INTERACT 2019; Posters & Demo Chairs at AVI 2018; Publicity Chair at AVI 2016; Co-chair of the "SERVE: Smart Ecosystems cReation by Visual dEsign" workshop (2016); Co-chair of the “Human-centered cybersecurity” workshop (2019).
Since 2013 he has been regularly involved in various research projects of the Department of Computer Science (LIFT 2020-2023, eGLU-BOX Pro 2020, eGLU-BOX PA, PA++, CHAT, LOGIN, VINCENTE) sponsored by EU and Italian organizations, where he coordinated different Work Packages.
Giovanni Dimauro was born in Taranto, Italy in 1964. He is Associate Professor at the Computer Science Department of the University of Bari since 1998. He received the Laurea degree in Computer Science from the University of Bari in 1987 and was assistant professor from 1990 to 1997. He teaches computer programming and multimedia systems. His research interest includes e-health, multimedia systems, medical informatics and pattern recognition with applications in medicine, such as new diagnosis technology for anemia and Parkinson’s disease. He is the author of more than 160 articles, which have been published in scientific journals, proceedings, and books. He holds 2 patents, of which the latter pertains to the field of noninvasive anemia estimation.
Giovanni Dimauro was born in Taranto, Italy in 1964. He is Associate Professor at the Computer Science Department of the University of Bari since 1998. He received the Laurea degree in Computer Science from the University of Bari in 1987 and was assistant professor from 1990 to 1997. He teaches computer programming and multimedia systems. His research interest includes e-health, multimedia systems, medical informatics and pattern recognition with applications in medicine, such as new diagnosis technology for anemia and Parkinson’s disease. He is the author of more than 160 articles, which have been published in scientific journals, proceedings, and books. He holds 2 patents, of which the latter pertains to the field of noninvasive anemia estimation.
Professor of computer science at the Department of Informatics of the University of Bari Aldo Moro where he also obtained a PhD in Software Engineering, consultant for companies and organizations especially in the field of research and development projects. Head of SERLAB research group (https://www.google.com/url?q=http://serlab.di.uniba.it&source=gmail&ust=1605256188946000&usg=AFQjCNHK5pH6WuyhpEtTk-9HUi4zqgvP4Q">serlab.di.uniba.it), Director of the short master in cyber security, he contributed to the creation of The Hack Space, the cyber security laboratory of the University of Bari. Member of the Board of Director of the Southern Italy Chapter Project Management Institute and coordinator of the PMI-SIC Academy. He is a member of the Board of Directors of the Apulian Information Technology District and he is the rector's delegate for European Projects.
His research interests include Software Engineering, Project Management and Cyber Security. He is author of more than 110 publications. He was Industrial Track Chair of the International Conference on Human Computer Interaction 2020 (INTERACT 2020), Track Chair of the International Conference on the Quality of Information and Communications Technology – Track: Quality Aspects in Security & Privacy (QUATIC 2019), Industry Track Chair of the International Conference on Program Comprehension (ICPC) 2018, Industry Track Chair of the International Symposium on Empirical Software Engineering and Measurement (ESEM) 2016, Financial Chair of the International Conference on Global Software Engineering (ICGSE) 2013, Program Chair of the International Conference on Product Focused Software Development and Process Improvement (PROFES) 2011.
Professor of computer science at the Department of Informatics of the University of Bari Aldo Moro where he also obtained a PhD in Software Engineering, consultant for companies and organizations especially in the field of research and development projects. Head of SERLAB research group (https://www.google.com/url?q=http://serlab.di.uniba.it&source=gmail&ust=1605256188946000&usg=AFQjCNHK5pH6WuyhpEtTk-9HUi4zqgvP4Q">serlab.di.uniba.it), Director of the short master in cyber security, he contributed to the creation of The Hack Space, the cyber security laboratory of the University of Bari. Member of the Board of Director of the Southern Italy Chapter Project Management Institute and coordinator of the PMI-SIC Academy. He is a member of the Board of Directors of the Apulian Information Technology District and he is the rector's delegate for European Projects.
His research interests include Software Engineering, Project Management and Cyber Security. He is author of more than 110 publications. He was Industrial Track Chair of the International Conference on Human Computer Interaction 2020 (INTERACT 2020), Track Chair of the International Conference on the Quality of Information and Communications Technology – Track: Quality Aspects in Security & Privacy (QUATIC 2019), Industry Track Chair of the International Conference on Program Comprehension (ICPC) 2018, Industry Track Chair of the International Symposium on Empirical Software Engineering and Measurement (ESEM) 2016, Financial Chair of the International Conference on Global Software Engineering (ICGSE) 2013, Program Chair of the International Conference on Product Focused Software Development and Process Improvement (PROFES) 2011.
DONATO IMPEDOVO is associate professor at Department of Computer Science of the University of Bari (IT). He received the MEng degree cum laude in Computer Engineering and the PhD degree in Computer Engineering. His research interests are in the field of signal processing, pattern recognition, machine learning applied to security, e-health and smart environments. He is co-author of more than 100 articles on these fields in both international journals and conference proceedings. He received the “distinction” award in May 2009 at the International Conference on Computer Recognition Systems (CORES – endorsed by IAPR), and the first prize of the first Nereus-Euroavia Academic competition on GMES in October 2012. Prof. Impedovo is also very involved in research transfer activities as well as in industrial research, he has managed more than 30 projects funded by public institutions as well as by private SMEs. Prof. Impedovo is IEEE Access Associate editor and he serves as reviewer for many international journals including IEEE THMS, IEEE T-SMC, IEEE-TIFS, IEEE-TECT, Pattern Recognition and many others. He serves as reviewer and rapporteur for the EU in H2020 projects evaluation. He was the general co-chair of the International Workshop on Smart Cities and Smart Enterprises (SCSE 2018), International Workshop on Artificial Intelligence with Application in Health (WAIAH 2018), Emergent Aspects in Handwritten Signature Processing (EAHSP 2013) and of the International Workshop on Image-Based Smart City Application (ISCA 2015). He has been member of the scientific committee and program committee of many international conferences in the field of computer science, pattern recognition and signal processing such as the ICPR and ICASSP. He is IAPR member and IEEE senior member.
DONATO IMPEDOVO is associate professor at Department of Computer Science of the University of Bari (IT). He received the MEng degree cum laude in Computer Engineering and the PhD degree in Computer Engineering. His research interests are in the field of signal processing, pattern recognition, machine learning applied to security, e-health and smart environments. He is co-author of more than 100 articles on these fields in both international journals and conference proceedings. He received the “distinction” award in May 2009 at the International Conference on Computer Recognition Systems (CORES – endorsed by IAPR), and the first prize of the first Nereus-Euroavia Academic competition on GMES in October 2012. Prof. Impedovo is also very involved in research transfer activities as well as in industrial research, he has managed more than 30 projects funded by public institutions as well as by private SMEs. Prof. Impedovo is IEEE Access Associate editor and he serves as reviewer for many international journals including IEEE THMS, IEEE T-SMC, IEEE-TIFS, IEEE-TECT, Pattern Recognition and many others. He serves as reviewer and rapporteur for the EU in H2020 projects evaluation. He was the general co-chair of the International Workshop on Smart Cities and Smart Enterprises (SCSE 2018), International Workshop on Artificial Intelligence with Application in Health (WAIAH 2018), Emergent Aspects in Handwritten Signature Processing (EAHSP 2013) and of the International Workshop on Image-Based Smart City Application (ISCA 2015). He has been member of the scientific committee and program committee of many international conferences in the field of computer science, pattern recognition and signal processing such as the ICPR and ICASSP. He is IAPR member and IEEE senior member.
Rosa Lanzilotti is currently Associate Professor of Human-Computer Interaction (HCI) at the Computer Science Department of the University of Bari Aldo Moro (UNIBA). In May 2006 she got the PhD in Computer Science from UNIBA in Human-Computer Interaction. Since April 2002, she worked at the Computer Science Department of UNIBA, first as research fellow, next as Assistant Professor and as Associate
Professor since 2015.
She is founding member of the IVU (Interaction, Visualization, Usability & UX) Lab of the UNIBA, where she coordinates research on Usability Engineering, UX and Human-Centered AI (HCAI). She is member of the GLU-X (Gruppo di Lavoro per l’Usabilità e UX), a working group set up by the Italian Ministry of Public Administration, which aims at developing a culture of usability and UX in the Italian public administration. She is also member of ACM (Association of Computing Machinery), IFIP TC13 - Human-Computer Interaction, WG 13.2 - Methodologies for User-Centered Systems Design, and SIGCHI Italy, the Italian Chapter of ACM SIGCHI.
She is co-author of more than 90 papers published in journals, international conferences and collections.
Rosa Lanzilotti is/has been member of the scientific organization committee of International Conferences and Workshops. In particular, she is Technical Program Co-Chair of the 18th IFIP TC.13 International Conference on Human-Computer Interaction INTERACT 2021. She was Workshop Co-Chair of IEEE SMC 2019; Paper Co-Chair of AVI 2016; Proceedings Chair of AVI 2014; Publicity Co-Chair of IS-EUD 2011; Demo Co-Chair of ICD 2009.
Rosa Lanzilotti is Associate Editor of International Journal of Human-Computer Studies, and reviewer of Behaviour & Information Technology, Multimedia Tools and Applications, Journal of System and Software Studies (Elsevier Inc.).
She served in the Program Committee of several International Conferences and Workshops, including:
INTERACT, CHI, ENASE, AVI, IDC.
She is the scientific coordinator of the UNIBA research unit in the projects eGLU-Box Pro (2020-2021), eGLUBox PA (2017-2018) and PA++ (2015-2016), funded by the Italian Ministry of Economic Development.
She was involved in international projects. She has been involved in several other project, some sponsored by Italian Ministry of University and Research and some by Apulia Region.
Rosa Lanzilotti is currently Associate Professor of Human-Computer Interaction (HCI) at the Computer Science Department of the University of Bari Aldo Moro (UNIBA). In May 2006 she got the PhD in Computer Science from UNIBA in Human-Computer Interaction. Since April 2002, she worked at the Computer Science Department of UNIBA, first as research fellow, next as Assistant Professor and as Associate
Professor since 2015.
She is founding member of the IVU (Interaction, Visualization, Usability & UX) Lab of the UNIBA, where she coordinates research on Usability Engineering, UX and Human-Centered AI (HCAI). She is member of the GLU-X (Gruppo di Lavoro per l’Usabilità e UX), a working group set up by the Italian Ministry of Public Administration, which aims at developing a culture of usability and UX in the Italian public administration. She is also member of ACM (Association of Computing Machinery), IFIP TC13 - Human-Computer Interaction, WG 13.2 - Methodologies for User-Centered Systems Design, and SIGCHI Italy, the Italian Chapter of ACM SIGCHI.
She is co-author of more than 90 papers published in journals, international conferences and collections.
Rosa Lanzilotti is/has been member of the scientific organization committee of International Conferences and Workshops. In particular, she is Technical Program Co-Chair of the 18th IFIP TC.13 International Conference on Human-Computer Interaction INTERACT 2021. She was Workshop Co-Chair of IEEE SMC 2019; Paper Co-Chair of AVI 2016; Proceedings Chair of AVI 2014; Publicity Co-Chair of IS-EUD 2011; Demo Co-Chair of ICD 2009.
Rosa Lanzilotti is Associate Editor of International Journal of Human-Computer Studies, and reviewer of Behaviour & Information Technology, Multimedia Tools and Applications, Journal of System and Software Studies (Elsevier Inc.).
She served in the Program Committee of several International Conferences and Workshops, including:
INTERACT, CHI, ENASE, AVI, IDC.
She is the scientific coordinator of the UNIBA research unit in the projects eGLU-Box Pro (2020-2021), eGLUBox PA (2017-2018) and PA++ (2015-2016), funded by the Italian Ministry of Economic Development.
She was involved in international projects. She has been involved in several other project, some sponsored by Italian Ministry of University and Research and some by Apulia Region.
Antonio Piccinno is currently Associate Professor of Human-Computer Interaction (HCI) at the Computer Science Department of the University of Bari Aldo Moro (UNIBA). He received the Laurea Degree in Computer Science with full marks and honors from the University of Bari in 2001. In March 2005 he got the PhD in Computer Science from University of Bari. Since April 2005, he worked at the Computer Science Department of University of Bari, first as research fellow, next as Assistant Professor and now as Associate Professor.
He is founding member of the IVU (Interaction, Visualization, Usability & UX) Lab of the University of Bari, where he coordinates research on the interplay between Human-Computer Interaction and Software Engineering though techniques of End-User Development.
His research interests focus on Human-Computer Interaction, Software Engineering, End-User Development, Internet of Things, Smart Environments, Visual Interactive Systems, Component-Based Software Development, WWW Interfaces, Multimodal and Multimedia Interaction.
He is, or has been, involved in the design, development and evaluation of software frameworks and methodologies for applying End-User Development in various domains and context, recently in ambient intelligence applied to the smart home.
He is co-author of about 90 papers published in journals, international conferences and collections.
Currently, he is teaching Software Engineering, a basic course for undergraduates in Computer Science of the University of Bari, Cloud Computing, and IoT Security for graduate students in Computer Science of the University of Bari. He taught several courses for both undergraduate and graduate Computer Science curricula, for undergraduate Business Economics curricula, and for the PhD Program in Computer Science.
He has been supervisor of about 70 bachelor and master’ thesis, has supervised one PhD student and was and is in the evaluation committee of several PhD students.
Antonio Piccinno is/has been member of the scientific organization committee of several International Conferences and Workshops. In particular, he is Full Paper Co-Chair of the 18th IFIP TC.13 International Conference on Human-Computer Interaction INTERACT 2021. He is in the steering committee of the of the International Symposium on End-User Development (IS-EUD) and of EUSSET, the European Society for Socially Embedded Technologies, serving as Community Development co-chair.
Currently, he is principal investigator for the SimPLE project “Sistemi Integrati autoMatizzati Per la coLtivazione Indoor - SIMPLe” funded by the Apulia Region (Italy).
He has collaborated to the network of excellence on End-User Development "EUD-Net IST-2001-37470", funded by the European Community, of which the Department of Computer Science of the University of Bari has been managing node. He also collaborated to other projects: IST-1999-12641 "FAIRWIS - Trade Fair Web-based Information Services" (during 2000-2001) and IST-2001-34290 "FairsNet - On-line Solutions for Trade Fairs" (during 2002-2003), funded by the European Community.
Has been involved in several other project sponsored by Italian Ministry of University and Research and Apulia Region. Among these: CHAT – “Cultural Heritage fruition & e-learning applications Advanced (MultiModal) Technologies” (2006-2008), FAR Project; DIPIS – “DIstributed Production as Innovative System” POR Project; TECNOLOGIE END-USER DEVELOPMENT PER LA PERSONALIZZAZIONE DI MOBILI CLASSICI ITALIANI - Regione Puglia – PO 2007-2013 – Asse I – Linea 1.1 – Aiuti agli investimenti in ricerca per le PMI (2009-2011), POR project; LOGIN (LOGistica INtegrata) - INDUSTRIA 2015, bando “Nuove Tecnologie per il Made in Italy” (2012-2015 MI01_00294); EDOC@WORK 3.0 “EDucation and WORK On Cloud”. PON Project.
He is member of ACM (Association of Computing Machinery), ACM SIGCHI (ACM's Special Interest Group on Computer-Human Interaction) and SIGCHI Italy (the Italian Chapter of ACM SIGCHI).
Antonio Piccinno is currently Associate Professor of Human-Computer Interaction (HCI) at the Computer Science Department of the University of Bari Aldo Moro (UNIBA). He received the Laurea Degree in Computer Science with full marks and honors from the University of Bari in 2001. In March 2005 he got the PhD in Computer Science from University of Bari. Since April 2005, he worked at the Computer Science Department of University of Bari, first as research fellow, next as Assistant Professor and now as Associate Professor.
He is founding member of the IVU (Interaction, Visualization, Usability & UX) Lab of the University of Bari, where he coordinates research on the interplay between Human-Computer Interaction and Software Engineering though techniques of End-User Development.
His research interests focus on Human-Computer Interaction, Software Engineering, End-User Development, Internet of Things, Smart Environments, Visual Interactive Systems, Component-Based Software Development, WWW Interfaces, Multimodal and Multimedia Interaction.
He is, or has been, involved in the design, development and evaluation of software frameworks and methodologies for applying End-User Development in various domains and context, recently in ambient intelligence applied to the smart home.
He is co-author of about 90 papers published in journals, international conferences and collections.
Currently, he is teaching Software Engineering, a basic course for undergraduates in Computer Science of the University of Bari, Cloud Computing, and IoT Security for graduate students in Computer Science of the University of Bari. He taught several courses for both undergraduate and graduate Computer Science curricula, for undergraduate Business Economics curricula, and for the PhD Program in Computer Science.
He has been supervisor of about 70 bachelor and master’ thesis, has supervised one PhD student and was and is in the evaluation committee of several PhD students.
Antonio Piccinno is/has been member of the scientific organization committee of several International Conferences and Workshops. In particular, he is Full Paper Co-Chair of the 18th IFIP TC.13 International Conference on Human-Computer Interaction INTERACT 2021. He is in the steering committee of the of the International Symposium on End-User Development (IS-EUD) and of EUSSET, the European Society for Socially Embedded Technologies, serving as Community Development co-chair.
Currently, he is principal investigator for the SimPLE project “Sistemi Integrati autoMatizzati Per la coLtivazione Indoor - SIMPLe” funded by the Apulia Region (Italy).
He has collaborated to the network of excellence on End-User Development "EUD-Net IST-2001-37470", funded by the European Community, of which the Department of Computer Science of the University of Bari has been managing node. He also collaborated to other projects: IST-1999-12641 "FAIRWIS - Trade Fair Web-based Information Services" (during 2000-2001) and IST-2001-34290 "FairsNet - On-line Solutions for Trade Fairs" (during 2002-2003), funded by the European Community.
Has been involved in several other project sponsored by Italian Ministry of University and Research and Apulia Region. Among these: CHAT – “Cultural Heritage fruition & e-learning applications Advanced (MultiModal) Technologies” (2006-2008), FAR Project; DIPIS – “DIstributed Production as Innovative System” POR Project; TECNOLOGIE END-USER DEVELOPMENT PER LA PERSONALIZZAZIONE DI MOBILI CLASSICI ITALIANI - Regione Puglia – PO 2007-2013 – Asse I – Linea 1.1 – Aiuti agli investimenti in ricerca per le PMI (2009-2011), POR project; LOGIN (LOGistica INtegrata) - INDUSTRIA 2015, bando “Nuove Tecnologie per il Made in Italy” (2012-2015 MI01_00294); EDOC@WORK 3.0 “EDucation and WORK On Cloud”. PON Project.
He is member of ACM (Association of Computing Machinery), ACM SIGCHI (ACM's Special Interest Group on Computer-Human Interaction) and SIGCHI Italy (the Italian Chapter of ACM SIGCHI).
Ricercatori 2020
Pubblicazioni
Abstract. In this forum we celebrate research that helps to successfully bring the benefits of computing technologies to children, older adults, people with disabilities, and other populations that are often ignored in the design of mass-marketed products.
Abstract: Neurodegenerative diseases are particular diseases whose decline can partially or completely compromise the normal course of life of a human being. In order to increase the quality of patient’s life, a timely diagnosis plays a major role. The analysis of neurodegenerative diseases, and their stage, is also carried out by means of gait analysis. Performing early stage neurodegenerative disease assessment is still an open problem. In this paper, the focus is on modeling the human gait movement pattern by using the kinematic theory of rapid human movements and its sigma-lognormal model. The hypothesis is that the kinematic theory of rapid human movements, originally developed to describe handwriting patterns, and used in conjunction with other spatio-temporal features, can discriminate neurodegenerative diseases patterns, especially in early stages, while analyzing human gait with 2D cameras. The thesis empirically demonstrates its effectiveness in describing neurodegenerative patterns, when used in conjunction with state-of-the-art pose estimation and feature extraction techniques. The solution developed achieved 99.1% of accuracy using velocity-based, angle-based and sigma-lognormal features and left walk orientation
Abstract: Neurodegenerative diseases, for instance Alzheimer's disease (AD) and Parkinson's disease (PD), affect the peripheral nervous system, where nerve cells send messages that control muscles in order to allow movements. Sick neurons cannot control muscles properly. Handwriting involves cognitive planning, coordination, and execution abilities. Significant changes in handwriting performance are a prominent feature of AD and PD. This paper addresses the most relevant results obtained in the field of online (dynamic) analysis of handwritten trials by AD and PD patients. The survey is made from a pattern recognition point of view, so that different phases are described. Data acquisition deals not only with the device, but also with the handwriting task. Feature extraction can deal with function and parameter features. The classification problem is also discussed along with results already obtained. This paper also highlights the most profitable research directions.
Abstract: Neurodegenerative diseases (NDs) affect millions of people worldwide, with Alzheimer’s and Parkinson’s being the most common ones, and it is expected that their incidence will dramatically increase in the next few decades. Unfortunately, these diseases cannot be cured, but an early diagnosis can help to better manage their symptoms and their evolution. These aspects explain the importance of developing support systems for the early diagnosis of neurodegenarative diseases. Handwriting is one of the abilities that is affected by NDs. For this reason, researchers have also investigated the possibility of using the handwriting alterations caused by NDs as diagnostic signs. This paper presents a review of the literature of handwriting analysis for supporting the diagnosis of Alzheimer’s and Parkinson’s disease as well as of mild cognitive impairments (MCI), with the goal of providing interested researchers with the state-of-the-art research. Moreover, with the aim of providing some guidelines on the features to use for representing handwriting and the writing tasks patients should perform, we also review some widely used approaches for modeling handwriting. Finally, open issues are also discussed to identify promising areas for future research
Abstract: Handwriting dynamics is relevant to discriminate people affected by neurodegenerative dementia from healthy subjects. This can be possible by administering simple and easy-to-perform handwriting/drawing tasks on digitizing tablets provided with electronic pens. Encouraging results have been recently obtained; however, the research community still lacks an acquisition protocol aimed at (i) collecting different traits useful for research purposes and (ii) supporting neurologists in their daily activities. This work proposes a handwriting-based protocol that integrates handwriting/drawing tasks and a digitized version of standard cognitive and functional tests already accepted, tested, and used by the neurological community. The protocol takes the form of a modular framework which facilitates the modification, deletion, and incorporation of new tasks in accordance with specific requirements. A preliminary evaluation of the protocol has been carried out to assess its usability. Successively, the protocol has been administered to more than 100 elderly MCI and match controlled subjects. The proposed protocol intends to provide a “cognitive model” for evaluating the relationship between cognitive functions and handwriting processes in healthy subjects as well as in cognitively impaired patients. The long-term goal of this research is the development of an easy-to-use and non-invasive methodology for detecting and monitoring neurodegenerative dementia during screening and follow-up.
Abstract: In times of economical difficulties, everyone should adopt solutions that permit to get high quality training at reducedcosts thanks topossibilities offered by new Information and Communication Technologies. In medicine, it is very important to perform training inthe field, without compromising patient’s health. LARE is a system we are currently developing, whose aimis to enable surgeons to perform telementoring (i.e. remote tutoring) during a laparoscopic surgery. The surgeon in the surgery room (learner) is assisted e guided by an expert surgeon (tutor) located in another part of the world, who interacts with the learner via audio and also observes on a screen in real time, and at a very high resolution, the images that the learner is seeing in the surgery room;s/he can also annotate such images, so that s/he can indicate points on which the learner has to operate.LARE allows many people to attenda surgery in live modality; such people can also write in a chat. So far, only some components of LARE have been implemented in the current system. However, LARE has been already used, in particular during an event on February 9th 2013, when 300 surgeons assisted to two surgeries performed under the guidance of a tutorwho was about 800 km far from the surgery room. The system and the results of this event will be illustrated at the conference.
Abstract: The huge amount of videos, available for various purposes, makes video editing software very important and popular among people. One of the uses of video in medicine is to store surgical operations for educational or legal purposes. In particular, in telemedicine, the exchange of audio and video plays a very important role. In most cases, surgeons are inexpert in video editing; moreover, the user interface of such software tools is often very complex. This paper presents a tool to extract important scenes from surgery videos. The goal is to enable surgeons to easily and quickly extract scenes of interest.
Abstract: The potential for visually detectable clinical signs of anaemia and their correlation with the severity of the pathology have supported research on non-invasive prevention methods. Physical examination for a suspected diagnosis of anaemia is a practice performed by a specialist to evaluate the pallor of the exposed tissues. The aim of the research presented herein is to quantify and minimize the subjective nature of the examination of the palpebral conjunctiva, suggesting a method of diagnostic support and autonomous monitoring. Here we describe the methodology and system for extracting key data from the digital image of the conjunctiva, which is also based on analysis of the dominant colour classes. Effective features have been used herein to establish the inclusion of each image in a diagnosis probability class for anaemia. The images of the conjunctiva were taken using a new low cost and easy to use device, designed to optimize the properties of independence from ambient light. The performance of the system was tested either by extracting manually the palpebral conjunctiva from images or by extracting them in a semi-automatic way based on the SLIC Superpixel algorithm. Tests were conducted on images obtained from 102 people. The dataset was unbalanced, since many more samples of healthy people were available, as often happens in the medical field. The SMOTE and ROSE algorithms were evaluated to balance the dataset, and some classification algorithms for assessing the anaemic condition were tested, yielding very good results. Taking a photo of the palpebral conjunctiva can aid the decision whether a blood sample is needed or even whether a patient should inform a physician, considerably reducing the number of candidate subjects for blood sampling. It also could highlight the suspected anaemia, allowing screening for anaemia in a large number of people, even in resource-poor settings.
Abstract: In recent years, cytological observations in the Rhinology field are being increasingly utilized. This development has taken place over the last two decades and has proven to be fundamental in defining new nosological entities and in driving changes in the previous classification of rhinitis. The simplicity of the technique and its low invasiveness make nasal cytology a practical diagnostic tool for all rhino-allergology services. Furthermore, since it allows the monitoring of responses to treatment, this method plays an important role in guiding a more effective and less expensive diagnostic program. Microscopic observation requires prolonged effort by a specialist, but the modern scanning systems for cytological preparations and the new affordable digital microscopes allow to design a software support system, based on deep learning techniques, to relieve specialist’s tiring activity. By means of the system presented in this paper, it is possible to automatically identify and classify cells present on a nasal cytological preparation based on a digital image of the preparation itself. Thus, an interesting diagnostic support has been made available to the rhino-cytologist, who can quickly verify that the cells have been correctly classified by the software system: any few unclassified or incorrectly classified cells can be quickly sorted by the specialist itself, then one or more diagnosis can be suggested by this system, taking into consideration also the anamnesis of each patient. The final diagnosis can be defined by the specialist, also based on the result of the prick test and the observation of the nasal cavity. In the system presented herein, image processing and image segmentation techniques have been used to find images of cellular elements within the preparation. Cell classification is based on a convolutional neural network composed of three blocks of main layers. Cell identification (first step, image segmentation) exhibits sensitivity greater than 97%, while cell classification (second step, seven cytotypes) attained a mean accuracy of approximately 99% on the test set and 94% on the validation set. This complete system supports clinicians in the preparation of a rhino-cytogram report.
