IBM computer scientists have been at the forefront of scientific and technological innovation across a broad range of research areas. They have made pioneering contributions in artificial intelligence, high-speed processor design, computer architecture, natural language processing, programming languages, optimizing compilers, operating systems, storage systems, computer-supported cooperative work, databases, speech recognition, integer programming, and service-oriented architectures, to name a few.
2013 IBM Research Best Papers Focus on Security, Graphene Nanostructures, Big Data, and Machine Learning (up to IBM Research Computer Science Blog)
More than 110 papers in Computer Science, Electrical Engineering, and Mathematical Sciences published in refereed conference proceedings and journals in 2013 were submitted by IBM Research authors worldwide in the Pat Goldberg Memorial 2013 Best Paper in CS, EE and Math Competition.
As usual, the overall quality of the papers was extremely high. From these submissions, a team of domain experts nominated 32 papers based on technical significance (depth and breadth) and expected impact on their professional communities or their applications.
A committee consisting of top scientists from the various IBM Research labs (Venkat Chakravarthy, Sudhir Gowda, Ehud Karnin, Phokion Kolaitis, Claudio Pinhanez, Baruch Schieber, Koichi Takeda, Olivier Verscheure, Hagen Voelzer), chaired by Steve Lavenberg, and co-chaired Dilip Krishnaswamy, reviewed the nominated papers and selected the four as winners of the Pat Goldberg Memorial 2013 Best Paper Awards.
Please join with me in congratulating the winners! The winners in alphabetical order are:
Paper title: Candidate Multilinear Maps from Ideal Lattices
Authors and affiliations: Sanjam Garg (UC Berkeley), Craig Gentry, and Shai Halevi (IBM Research - Watson)
Name of journal or conference: Eurocrypt.
This paper received the best paper award at Eurocrypt 2013.
Paper title: Damping pathways of mid-infrared plasmons in graphene nanostructures
Authors and affiliations: Hugen Yan(1), Tony Low(1), Wenjuan Zhu(1), Yanqing Wu(1), Marcus Freitag(1), Xuesong Li(1), Francisco Guinea(2), Phaedon Avouris(1) and Fengnian Xia(1); 1 IBM Research - Watson, 2 Instituto de Ciencia de Materiales de Madrid, CSIC.
Name of journal or conference: Nature Photonics.
Paper title: Low Rank Approximation and Regression in Input Sparsity Time
Name of journal or conference: Symposium on the Theory of Computing (STOC).
The paper has received the Best Paper award at ACM STOC 2013.
Paper title: Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
Name of journal or conference: Uncertainty in Artificial Intelligence (UAI).
This paper won the Best Paper Award at UAI 2013.