Postdoctoral scholar at UT Austin
My research background is in numerical linear and multilinear algebra,
and in particular related to problems from data mining and pattern recognition applications.
I earned my PhD in Scientific Computing from Linkoping University (Sweden)
under the supervision of professor Lars Eldén. PhD thesis title:
Algorithms in Data Mining using Matrix and Tensor Methods.
Currently I am postdoc at the
Data Mining Lab led by professor
Inderjit Dhillon and pursuing research in a few different areas:
(1) Large scale computations for graphs and network problems, e.g. link prediction
in dynamic networks, incorporation of multiple sources of information for link prediction and group recommendation.
(2) Stochastic methods for large scale low rank matrix approximation.
(3) Fast large scale eigenvector and singular vector computations.
(4) Computational methods and algorithms for tensors and tensor decompositions.
In particular methods for low multilinear rank approximation of tensors.
Most resent approach involves tensor Krylov methods.
(5) Optimization methods for problems defined on Grassmann manifolds.
Published articles, drafts and reports
Perturbation theory and optimality conditions for the best multilinear rank approximation of a tensor.
Submitted to SIAM Journal on Matrix Analysis and Applications (SIMAX), 2011.
Clustered low rank approximation of graphs in information science applications.
To appear in SIAM Data Mining Conference, 2011.
Scalable Affiliation Recommendation using Auxiliary Networks.
To appear in ACM Transactions on
Intelligent Systems and Technology.
Fast and accurate low rank approximation of massive graphs.
Technical report TR-10-18, Department of Computer, University of Texas at Austin.
Clustered embedding of massive online social networks.
Supervised link prediction using multiple sources.
Proceedings of the IEEE International Conference on Data Mining (ICDM), 2010, pp. 923-928. BibTeX (email me for a copy)
Supervised link prediction using multiple sources (long version).
Technical report TR-10-35, Department of Computer Science, The University of Texas at Austin, 2010. BibTeX
Krylov-type methods for tensor computations,
Submitted for publication to
Linear Algebra and its Applications. BibTeX
Krylov subspace methods for tensor computations,
Technical report LiTH-MAT-R-2009-02-SE. BibTeX
Quasi-Newton methods on Grassmannians
and multilinear approximations of tensors,
SIAM Journal on Scientific Computing, Volume 32, Number 6, pp. 3352-3393 (2010).
A Newton-Grassmann method for computing
the best multilinear rank-(r_1, r_2, r_3) approximation of a tensor,
SIAM Journal on Matrix Analysis and Applications,
Volume 31, Issue 2, pp. 248-271 (2009).
Handwritten digit classification using higher order singular value decomposition,
Volume 40, Issue 3 , March 2007, Pages 993-1003.
Dimensionality reduction and volume minimization -
generalization of the determinant minimization criterion
for reduced rank regression problems,
Linear Algebra and its Applications,
Volume 418, Issue 1 , 1 October 2006, Pages 201-214.
reduction and volume minimization approach to state-space subspace
Volume 86, Issue 11, November 2006, Pages 3275-3285.
The maximum likelihood
estimate in reduced rank regression,
Numerical Linear Algebra and
Applications, Volume 12, Issue 8, Pages 731 - 741.
Upcoming conferences and workshops
Attended conferences and workshops
My address at UT Austin:
- The IEEE International Conference on Data Mining (ICDM),
Sydney, Australia, Dec 14-17, 2010
- Informs 2010 Annual Meeting,
Austin, Texas, November 7-10, 2010
- Conference on Numerical Linear Algebra:
Perturbation, Performance, and Portability, celebrating G. W. (Pete) Stewart's 70th birthday.
Austin, Texas, July 19-20, 2010
- 2010 SIAM Annual Meeting,
Pittsburgh, Pennsylvania, July 12-16, 2010
- 16th Conference
of the International Linear Algebra Society, (ILAS)
Pisa, Italy, June 21-25, 2010
- BIT50 Trends in Numerical
Lund University, Sweden, June 17-20, 2010
Computational optimization for tensor decompositions, talk slides
American Institute of Mathematics, Palo Alto, California,
March 29 - April 2, 2010
- SIAM Conference on
Applied Linear Algebra,
Monterey, California, October 26-29, 2009
- Future Directions in Tensor-Based Computation and Modeling
NSF, Arlington, Virginia, February 20-21, 2009
- Hot Topics
Workshop: Multi-Manifold Data Modeling and Applications,
IMA, University of Minnesota, Minneapolis, USA, October
2008 SIAM Annual
San Diego, California, USA, July 7-11, 2008
Zeuthen, Germany, June 1-6, 2008
on Image Analysis 2008,
Lund University, Sweden, March
Linköping, Sweden, October 23, 2007
Zurich, Switzerland, July 16-20, 2007
BIT Numerical Mathematics Circus,
Stockholm, Sweden, August 31 - September 1, 2006
Algorithms for Modern Massive Data Sets,
Stanford University and Yahoo! Research, Palo Alto, California,
USA, June 21-24, 2006
Workshop on Tensor
CIRM, Luminy, Marseille, France, August 29 - September 2, 2005
Working Group on Matrix
Copenhagen, Denmark, April 1-3, 2005
American Institute of Mathematics, Palo Alto,
California, USA, July 19-23, 2004
Numerical Linear Algebra and its Applications,
XXI International school and workshop, Monopoli, Bari, Italy,
September 15-24, 2003
Institute for Computational Engineering and Sciences
The University of Texas at Austin
1 University Station C0200, ACES 4.102
Austin, TX 78712
Office phone: 1-512-471-0026
Additional info can be found here .