<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><meta http-equiv="Content-Type" content="text/html; charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class=""><div class=""><div class=""><div class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">[Apologies if you receive multiple copies of this CFP]</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Call for papers: special session on "Complex Data: Learning Trustworthily, Automatically, and with Guarantees" at ESANN 2021 - </span><a href="https://www.esann.org/special-sessions" target="_blank" rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.esann.org/special-sessions&source=gmail&ust=1620141040737000&usg=AFQjCNHnj4wfSAXoE0Y9HFHMNcHvepmMnQ" style="text-decoration: none; color: rgb(26, 115, 232); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2;" class="">https://www.esann.org/special-sessions</a><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021).</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">6-8 October 2021, Bruges, Belgium - </span><a href="http://www.esann.org/" target="_blank" rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en&q=http://www.esann.org/&source=gmail&ust=1620141040737000&usg=AFQjCNGAOYkYbhGJ6GeGgfBjxEzWwoazDA" style="text-decoration: none; color: rgb(26, 115, 232); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2;" class="">http://www.esann.org</a><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">DESCRIPTION:</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Machine Learning (ML) achievements enabled automatic extraction of actionable information from data in a wide range of decision-making scenarios (e.g. health care, cybersecurity, and education). ML models are nowadays ubiquitous pushing even further the process of digitalization and datafication of the real and digital world producing more and more complex and interrelated data. This demands for improving both ML technical aspects (e.g. design and automation) and human-related metrics (e.g. fairness, robustness, privacy, and explainability), with performance guarantees at both levels.</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">The aforementioned scenario posed three main challenges: (i) Learning from Complex Data (i.e. sequence, tree and graph data), (ii) Learning Trustworthily, and (iii) Learning Automatically with Guarantees. The scope of this special session is then to address one or more of these challenges with the final goal of Learning Trustworthily, Automatically, and with Guarantees from Complex Data.</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session.</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">TOPICS OF INTEREST:</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">- efficient and effective models capable of directly learning from data natively structured or</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">collected from interrelated heterogeneous sources (e.g. social and relational data, knowledge graphs), characterized by entities, attributes, and relationships, without relying on human skills to encode this complexity into a rich and expressive (vectorial) representation;</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">- design ML models from a human-centered perspective, making ML trustworthy by design, by removing human biases from the data (e.g. gender discrimination), increasing robustness (e.g. to adversarial data perturbation), preserving individuals’ privacy (e.g. protecting ML models from differential attacks), and increasing transparency (e.g. via ML models and output explanation);</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">- automatizing the ML design and deployment parts which are currently handcrafted by highly skilled and trained specialists. For this reason, ML is required to be empowered with self-tuning properties (e.g. architecture and hyperparameter automatic selection), understanding and guaranteeing the final performance (e.g. with worst case and statistical bounds) with respect to both technical and human relevant metrics.</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">SUBMISSION:</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Prospective authors must submit their paper through the ESANN portal following the instructions provided in </span><a href="https://www.esann.org/node/6" target="_blank" rel="nofollow" data-saferedirecturl="https://www.google.com/url?hl=en&q=https://www.esann.org/node/6&source=gmail&ust=1620141040738000&usg=AFQjCNEaIsoBwW4m0tNG6rX2cAloHIH0BA" style="text-decoration: none; color: rgb(26, 115, 232); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2;" class="">https://www.esann.org/node/6</a><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""> Each paper will undergo a peer reviewing process for its acceptance.</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">IMPORTANT DATES:</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Submission of papers: 10 May 2021</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Notification of acceptance: 20 July 2021</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">ESANN conference: 6-8 April 2021</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">SPECIAL SESSION ORGANISERS:</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Luca Oneto, University of Genoa (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Nicolò Navarin, University of Padua (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Battista Biggio, University of Cagliari (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Federico Errica, University of Pisa (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Alessio Micheli, University of Pisa (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Franco Scarselli, University of Siena (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Monica Bianchini, University of Siena (Italy)</span><br style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class=""><span style="color: rgba(0, 0, 0, 0.87); font-family: Roboto, RobotoDraft, Helvetica, Arial, sans-serif; font-size: 14px; font-variant-ligatures: normal; orphans: 2; widows: 2; text-decoration-thickness: initial;" class="">Alessandro Sperduti, University of Padua (Italy)</span></div></div></div></div></div></div></div></div></div></div></div><div class="">
<div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div dir="auto" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px;" class="">—<br class="">Nicolò Navarin, PhD<br class=""><br class="">Assistant Professor<br class="">University of Padova - Department of Mathematics<br class="">via Trieste 63, 35121 Padova - Italy<br class="">Office: 416<br class="">Tel. +39 049 8271427<br class=""><a href="mailto:nnavarin@math.unipd.it" class="">E-mail: nnavarin@math.unipd.it</a><br class="">Web: <a href="http://www.math.unipd.it/~nnavarin" class="">http://www.math.unipd.it/~nnavarin</a><br class=""><br class="">CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents.<br class="">Towards a sustainable earth: Print only when necessary. Thank you.</div></div></div></div></div></div></div>
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