News

Prof. Andy Pavlo wins 2018 Joel & Ruth Spira Teaching Award

Apr 6, 2018

Pittsburgh, Pennsylvania — A great philosopher was once asked what their ultimate goal was. Without a notice of hesitation, the philosopher replied that right now he did not feel that he was getting what he wanted. But at some later point when he received a small amount of accolades, then that was when the world would know that it is on. Indeed, this is because (without trying to brag too much) he knew that he had something that the world Read More

Prof. Andy Pavlo wins 2017 Google Faculty Research Award

Mar 20, 2018

Mountain View, California — Science is a dirty game. People get hurt. Marriages get broken. Mix tapes get dropped. But in the end one is able to move humanity forward and make a difference. This is why we do database. This is why we get up in the morning for the research grind. Maybe there is a better life out there, but frankly we do not want to hear it. Given this, the CMU Database Group is pleased to announce Read More

CMU DB Wins ICDM 2017 ‘Best Paper’ Award

Oct 19, 2017

The CMU Database Group and the University of Porto (Portugal) won 2017 IEEE International Conference on Data Mining Best Paper award for their paper: TensorCast: Forecasting with Context using Coupled Tensors Miguel Ramos de Araujo, Pedro Manual Pinto Ribeiro, Christos Faloutsos This research provides a fast and effective algorithm to forecast the evolution of a tensor (like who-publishes-where-and-when), given additional, side information (like who has been co-author with whom). Read More

Alex and Vagelis both win KDD-dissertation distinction!

Jul 10, 2017

Dr. Alex Beutel and Prof. Evangelos (Vagelis) Papalexakis, each attracted the ‘runner-up’ distinction for the prestigious SIGKDD doctoral dissertation award. SIGKDD is the flagship venue for data mining. Alex’s dissertation, titled ‘User Behavior Modeling with Large-Scale Graph Analysis’ focused on anomaly detection, by modeling normal and abnormal users, as well as on the design of scalable algorithms for large graphs. Vagelis’ dissertation, titled 'Mining Large Multi-aspect Data: Algorithms and Applications' bridged signal- and tensor-analysis, with data mining at scale, and Read More

CMU Wins SIGKDD 2016 ‘Best Research Paper’ Award

Aug 18, 2016

The Carnegie Mellon Database Group team won the Best Research Paper award in SIGKDD 2016 for their paper FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. The authors were Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, and Prof. Christos Faloutsos. KDD is the flagship data mining conference. The award ceremony was on Sunday Aug. 14, in San Francisco. The paper was selected out of over 700 submissions, and among 70 accepted papers. The paper gives Read More

Danai Koutra Wins 2016 SIGKDD Doctoral Dissertation Award

Jul 8, 2016

CS alumna Prof. Danai Koutra (now faculty at the University of Michigan Ann-Arbor) won the SIGKDD 2016 Dissertation award, for her thesis Exploring and Making Sense of Large Graphs The thesis contributes fast algorithms for summarizing large graphs, both static as well as time-evolving, and for contrasting two or more graphs, with applications to brain wiring, social networks, collaboration networks and more. SIGKDD is the premier conference for large-scale data mining. The competition for the dissertation award is fierce, with Read More

CMU Team Wins 2016 SIGKDD ‘Test of Time’ Award

Jul 8, 2016

CMU team wins the ‘Test of Time’ award at KDD 2016 for their 2005 paper: Graphs Over Time: Densification Laws, Shrinking Diameters and Possible Explanations Jure Leskovec, Jon Kleinberg, and Christos Faloutsos KDD is the flagship conference for large-scale data mining. Jure was a phd student at SCS/MLD (and currently a professor at Stanford). Jon was visiting CMU for his sabbatical. The paper made the surprising discoveries that real graphs become denser over time, following a power-law pattern, and that Read More

Vagelis and Leman win ‘best paper’ awards in SDM’16

May 22, 2016

SIAM SDM is one of the top conferences in data mining. Specifically, Vagelis  attracted the 'best student paper award', with his single-author paper on tensors   Evangelos E. Papalexakis, Automatic Unsupervised Tensor Mining with Quality Assessment There, Vagelis showed how to measure the goodness of a tensor decomposition, and how to automatically determine the correct rank of such a decomposition. Moreover, CMU/SCS alumna Prof. Leman Akoglu, and her student,  attracted the 'best  paper runner-up award' for their paper on anomaly Read More

Vagelis invited to Dagstuhl

Mar 29, 2016

Vagelis has been invited to participate in Dagstuhl Perspectives Workshop,"Tensor Computing for Internet of Things" (16152), to be held at Schloss Dagstuhl in Germany from Sunday, April 10 to Wednesday, April 13, 2016. Schloss Dagstuhl, a nonprofit institution with associates from eleven universities and research organizations, is one of the world's leading research centers in informatics. It has been hosting invitation-only Dagstuhl Seminars and Dagstuhl Perspectives Workshops since the center's founding in 1990. More information about Schloss Dagstuhl and our Read More

Alumnus win Lagrange Prize

Mar 19, 2016

Our alumnus, Jure Leskovec (PhD SCS/MLD, now at Stanford), won the prestigious Lagrange Prize. Established in 2008 by the CRT Foundation and coordinated by the ISI Foundation, the Lagrange Prize is part of the Lagrange Project, one of the most innovative European initiatives  dedicated entirely to studying complex systems and data science, where a culture of innovation is  encouraged through PHD scholarships and research grants. The Prize is the symbolic event of the Lagrange Project: a prestigious international acknowledgement – Read More