Updated some stuff.

Author: Fabio Vandin

index.html

@@ -92,6 +92,7 @@ <h3 class="mb-0">Postdocs and PhD students</h3>
                     <div class="subheading mb-3">Alumni</div>
                     <ul>
                       <li>Andrea Tonon (now @ Huawei)</li>
+		      <li>Davide Buffelli (now @ MediaTek Research)
                       <li><a href="https://diegosantoro.github.io/">Diego Santoro</a></li>
                       <li><a href="https://iliesarpe.github.io/">Ilie Sarpe</a> (now @ KTH)</li>
                     <ul>
@@ -103,7 +104,9 @@ <h3 class="mb-0">Postdocs and PhD students</h3>
                 <div class="resume-section-content">
                     <h2 class="mb-5">Recent Publications</h2>
 <!-- PUBS -->
-<h3 class="mb-0">2023</h3><ul><li>Andrea Tonon, Fabio Vandin <emph><a href="https://doi.org/10.1007/s10115-022-01800-7">caSPiTa: mining statistically significant paths in time series data from an unknown network.</a></emph> Knowl. Inf. Syst.</li>
+<h3 class="mb-0">2023</h3><ul>
+<li>Leonardo Pellegrina, Fabio Vandin <emph><a href="https://doi.org/10.1145/3628601">SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds</a></emph>ACM Trans. Knowl. Discov. Data</li>
+<li>Andrea Tonon, Fabio Vandin <emph><a href="https://doi.org/10.1007/s10115-022-01800-7">caSPiTa: mining statistically significant paths in time series data from an unknown network.</a></emph> Knowl. Inf. Syst.</li>
 <li>Dario Simionato, Fabio Vandin <emph><a href="https://doi.org/10.24963/ijcai.2023/726">Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract).</a></emph> IJCAI</li>
 <li>Enrico Dandolo, Andrea Pietracaprina, Geppino Pucci <emph><a href="https://doi.org/10.1007/978-3-031-39698-4_32">Distributed k-Means with Outliers in General Metrics.</a></emph> Euro-Par</li>
 <li>Leonardo Pellegrina <emph><a href="https://doi.org/10.1145/3580305.3599325">Efficient Centrality Maximization with Rademacher Averages.</a></emph> KDD</li>
@@ -166,6 +169,7 @@ <h3 class="mb-0">2020</h3><ul><li>Andrea Tonon, Fabio Vandin <emph><a href="http
                 <div class="resume-section-content">
                     <h2 class="mb-5">Recent Projects</h2>
                     <ul>
+		      <li>[2023-2025] Ministero dell’Universit`a e della Ricerca (MUR), <strong>PRIN EXPAND: scalable algorithms for EX- Ploratory Analyses of heterogeneous and dynamic Networked Data</strong> Role: PI. <span style="font-style:italic">Total amount: euro 388,337.</span>
                       <li>[2021-2024] European Union, <strong>Brainteaser: BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis.</strong> Role: participants. <span style="font-style:italic">Total UniPD amount: euro 732.250.</span></li>
                       <li>[2019-2023] Ministero dell’Istruzione, dell’Universit`a e della Ricerca (MIUR), <strong>PRIN AHeAD: efficient Algorithms for HArnessing networked Data.</strong> Role: co-PI. <span style="font-style:italic">Total amount: euro 784,860.</span>
                       <li>[2018-2020] University of Padova, <strong>STARS: Algorithms for Inferential Data Mining.</strong>  Role: PI. <span style="font-style:italic">otal amount: euro 140,000.</span></li>
@@ -180,6 +184,10 @@ <h2 class="mb-5">Recent Projects</h2>
                 <div class="resume-section-content">
                     <h2 class="mb-5">Awards</h2>
                     <ul class="fa-ul mb-0">
+			<li>
+                            <span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
+                            <strong>Test of Time award</strong>, RECOMB 2023 (Conference on Research in Computational Molecular Biology 2023)
+                        </li>
                         <li>
                             <span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
                             <strong>Best Paper Award</strong>, EURO-PAR 2023 (29th International European Conference of Parallel and Distributed Computing)