Stefano Mizzaro
Bio: Stefano Mizzaro is full professor of Computer Science at the University of Udine. He is the head of the Social, Mobile, Data, Crowd Laboratory. His research interests include information retrieval and search engines, crowdsourcing, context-aware mobile systems, and electronic academic publications. He holds a Ph.D. in Computer Science from the University of Trieste.
Email Address: mizzaro(at)uniud[dot]it
Vincenzo Della Mea
Bio: Vincenzo Della Mea is an associate professor of Information Processing Systems. His research interests focus on medical informatics, particularly digital pathology, biomedical classifications and ontologies, and the application of machine learning to medicine. For further details on his research activities, you can refer to the institutional page. In addition to his academic work, he has published several poetry collections, including “L’infanzia di Gödel” (La Barca di Babele, 1999), “Algoritmi” (Lietocolle, 2004 – Nelle terre dei Pallavicino Prize 2005), “I sogni della guerra” (Circolo Culturale Menocchio, 2008), and “Storie Naturali” (Raffaelli Editore, 2016). In 2023, he released “Clone 2.0” (Pordenone).
Email Address: vincenzo[dot]dellamea(at)uniud[dot]it
Ivan Scagnetto
Bio: Ivan Scagnetto is a researcher in Computer Science at the Department of Mathematical, Computer, and Physical Sciences of the University of Udine. His research interests are focused on context-aware mobile systems and the Internet of Things (IoT). He holds a Ph.D. in Computer Science from the University of Udine.
Email Address: ivan[dot]scagnetto(at)uniud[dot]it
Paolo Coppola
Bio: Paolo Coppola is an associate professor at the University of Udine. He is responsible for courses in Programming, Computer Science for Cultural Heritage, Computer Science applied to tourism and cultural heritage, Philosophical and mathematical logic. His research interests include lambda calculus, linear logic, context-dependent mobile systems, e-learning, and e-government.
Email Address: paolo[dot]coppola(at)uniud[dot]it
Giuseppe Serra
Bio: Giuseppe Serra is an associate professor at the University of Udine since November 2019. He earned his Ph.D. in Computer Engineering, Multimedia, and Telecommunications in 2010 from the University of Florence, Italy. From 2014 to 2016, he was an Adjunct Professor at the University of Modena and Reggio Emilia, Italy. He has been a visiting researcher at Carnegie Mellon University, Pittsburgh, USA, and at Telecom ParisTech/ENST, Paris, in 2006 and 2010, respectively. His research interests include Machine Learning and Deep Learning.
Email Address: giuseppe[dot]serra(at)uniud[dot]it
Luca Di Gaspero
Bio: Luca is an associate professor of Information Technology (Sistemi di Elaborazione delle Informazioni, ING-INF/05) at the University of Udine since 2005. He is a member of the Scheduling and Timetabling research group, focusing on the study and application of meta-heuristic techniques to real combinatorial optimization problems in the domains of Scheduling, Timetabling, and Computational Logistics. His primary research interest lies in enhancing meta-heuristic techniques through hybridization with other optimization methods, particularly in the field of Artificial Intelligence, such as Constraint Programming and Reinforcement Learning. He obtained his Bachelor’s degree in Information Sciences (1998), Master’s degree in Computer Science (2003), and Ph.D. in Computer Science (2002) from the University of Udine, where he also worked as a Research Fellow (2003-2004) and Researcher (2005-2016). During his Ph.D., he was a visiting student at the Centrum voor Wiskunde en Informatica in Amsterdam, Netherlands. In 2011, he was a Visiting Professor at Technische Universität Wien, Austria. In December 2017, he received habilitation as a full professor in the fields of Information Processing Systems (ING-INF/05) and Computer Science (INF/01). He is the author or co-author of over 100 peer-reviewed scientific articles published in journals, books, and international conference proceedings. Some bibliometric indicators of his research activity include 2746 citations, h-index 28, g-index 51, and citations per article 26.92 (as of February 2020). His impact on research in the years 2004-2008, measured by an evaluation agency with various metrics, places him in the top 10%-25% of professors and researchers in his scientific field.
Email Address: luca[dot]digaspero(at)uniud[dot]it
Eddy Maddalena
Bio: Eddy Maddalena is a researcher and lecturer at the Department of Mathematical, Computer, and Physical Sciences (DMIF) of the University of Udine. Currently, he teaches “Foundations of Data Science and Laboratory” for the Bachelor’s Degree in Internet of Things, Big Data, Machine Learning (IBML), “Object-oriented Design and Analysis” for the Master’s Degree in Computer Science, and at the “Master in Intelligence and ICT.” His research interests encompass various areas, particularly Crowdsourcing, Human Computation, Information Retrieval, and Gamification.
Email Address: eddy[dot]maddalena(at)uniud[dot]it
Kevin Roitero
Bio: Kevin Roitero is a lecturer at the University of Udine. His research interests include Artificial Intelligence, Crowdsourcing, and Information Retrieval. He has visited and collaborated with various universities and significant industrial partners. As a result of his work, he has received multiple grants and awards, including participation in the 7th edition of the prestigious Heidelberg Laureate Forum (top 200 young researchers in mathematics and computer science), the “con.Scienze2020” award for the best Ph.D. thesis in Computer Science defended in 2020 in Italy, the Best Short Paper Award (Top 0.6%) at “ECIR2020” for the paper “Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias,” and the Best Paper Award (Top 5%) at “NL4AI 2022” for the paper “A Hybrid Human-In-The-Loop Framework for Fact Checking.
Email Address: kevin[dot]roitero(at)uniud[dot]it
Michael Soprano
Bio: Michael Soprano is a Postdoctoral Researcher at the University of Udine, where he obtained his Ph.D. in Computer Science and Mathematical and Physical Sciences in May 2023 (Cum Laude). His primary research focus is on the use of crowdsourcing approaches to tackle the growing issue of the spread of misinformation.
Email Address: michael[dot]soprano(at)uniud[dot]it
David La Barbera
Bio: David La Barbera is a Ph.D. student in Computer Science and Artificial Intelligence (37th cycle) at the University of Udine. He graduated with honors with a Master’s degree in Computer Science from the same university in 2019. His research interests include Crowdsourcing, Information Retrieval, and Data Science.
Email Address: david[dot]labarbera(at)uniud[dot]it