Paper "Evaluating Query Languages and Systems for High-Energy Physics Data" selected as one of the Best Research Track Papers at VLDB'22

The paper “Evaluating Query Languages and Systems for High-Energy Physics Data'' by Dan Graur, Ingo Müller, Mason Proffitt, Ghislain Fourny, Gordon T. Watts, and Gustavo Alonso, presented at the International Conference on Very Large Database Systems (vol. 15) has been selected as one of the Best Research Track Papers at the conference and invited to submit an extended version to the VLDB Journal.