The IEEE ICDM Research Contributions Award is the highest recognition for research achievements in Data Mining, and is given to one individual or one group who has made influential research contributions to the field of Data Mining. The 2019 IEEE ICDM Research Contributions Award goes to Professor Jure Leskovec of Stanford University, California.
Prof. Leskovec has contributed several fundamental tools, principles, and breakthroughs in the area of network science and data mining. Some of his notable work includes algorithms like node2vec, graphsage, and foundational laws of dynamic graphs. He has won several notable and distinguished awards for his contributions: Lagrange Prize and Alfred P. Sloan Fellowship. He has won 14 best paper awards (including the ICDM 2010 best application paper award), and 4 test of time awards (2 in KDD, 1 in PAKDD, 1 in ECML).
The impact of his work can be summed up via his research funding, citations, and affiliations. Prof. Leskovec's publications are cited more than 54,000 times and 13 publications with 1000+ citations. Prof. Leskovec's research has been published in top scientific journals like Nature, Science, and PNAS leading to a broader scientific impact. He has authored open-source Stanford Network Analysis Platform (SNAP, http://snap.stanford.edu), a general-purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes and billions of edges. SNAP gets over 1,000 downloads every month and runs in production at Wikipedia, Twitter, Pinterest, and many other companies. Prof. Leskovec has a high impact in the industry. He currently serves as Chief Scientist at Pinterest.
2019 IEEE ICDM Nomination and Evaluation Committees