Talks
2015
- IEEE, ICDM 2015, International Conference on Data Mining, Nov. 2015
- IEEE, Big Data Conference, Oct. 2015
- CSU PUMP Program, Topic Modeling using Linear Algebra, Cal Poly Pomona, July 2015
- Cal Poly Pomona Mathematics Colloquium, Building Graphs for Big Data, Pomona CA, May 2015
- UCLA Undergraduate Math Club, Beyond Calculus - Math in Unexpected Places invited talk, UCLA, Feb. 2015
- SIAM CSE mini-symposium on ``Geometric methods for graph partitioning'', ``Building Graphs to Analyze Big Data.'' Salt Lake City Utah, March 2015.
2014
- Level Set Seminar, ``Building Graphs to Analyze Big Data.'' UCLA, July. 2014.
- USA-Uzbekistan Conference on Analysis and Mathematical Physics, ``Spectral methods for analyzing large data.'' Cal State Fullerton, May 2014.
- ICERM Workshop on Geometric analysis methods for graph algorithms, ``Building Graphs.'' Providence RI, Feb. 2014.
- ICERM Workshop on Geometric analysis methods for graph algorithms, ``Spectral methods for analyzing large data.'' Providence RI, Feb. 2014.
2013
- Claremont Colleges Mathematics Colloquia, ``Spectral methods for analyzing large data sets using reweighted topic modeling.'' Claremont CA, Nov. 2013.
- Level Set Seminar, ``Reweighted topic modeling.'' UCLA, July. 2013.
- AMS MAA Joint Math Meetings Special Session on Stochastic and Functional Analysis, ``Spectral graph based community detection.'' San Diego, CA, Jan. 2013.
- PDE and Applied Math Seminar, ``Data mining social and high dimensional data.''
UC Riverside, Nov. 2011.
- Level Set Collective, ``Data mining social networks and hyperspectral images.''
UCLA, Oct. 2012.
- Applied Math Seminar, ``Spectral embedding of social networks with compressed, incomplete and
inaccurate measurements.'' UCLA, Dec. 2011.
- Applied Math Seminar, Social Network Clustering of Sparse Data, Claremont McKenna College, Dec 2011
- Math Department, Applied Math Seminar,
Data mining compressed, incomplete and
inaccurate high dimensional data , UC Davis, May 2011
- Math Department, Student Run Seminar,
Low dimensional embedding with compressed, incomplete and
inaccurate measurements, UC Davis, Apr 2011
- CCMS Colloquium
Low dimensional embedding with compressed, incomplete and
inaccurate measurements, Claremont McKenna College, Mar 2011
- Research Group
Low dimensional embedding with compressed, incomplete and
inaccurate measurements, UCLA, Mar 2011
- AMS MAA Joint Mathematics Meetingsstyle='font-family:
"Trebuchet MS";language:EN'> - style='font-family:"Trebuchet MS"; language:EN'> The General, Irreducible Three and Four-State Markov Process
(with A. Krinik* and L. Harbottle, California State Polytechnic University, Pomona), New Orleans, LA, Jan 2011
- AAAIManifold Learning and its Applications (sparsity and compressive sensing), Compressed Spectral Clustering, Arlington, VA, Nov 2010
- ACM Conference on Information and Knowledge Management,
Performance Analysis of Compressive Spectral Clustering, Toronto, Canada, Oct 2010
- AMS Western Section Meeting,
Special Session on Mathematical Models of Random Phenomena, Compressed Diffusion Maps, UCLA, Oct 2010
- ICNAAM,
Sparse Approximation and Compressed Sensing, Performance Analysis of Compressive Spectral Clustering, Rhodes, Greece, Sept 2010
- IPAM, Mathematics of Knowledge and Search Engines,
Compressive Spectral Clustering
Lake Arrowhead CA, June 2009
- AMS Western Section Meeting,
Stochastic Analysis and Applications, Compressed Diffusion Maps, UC Riverside, Nov 2009
- IPAM, Mathematics of Knowledge and Search Engines,
Exploring the world of MR brain images via Harmonic Analysis
Lake Arrowhead CA, June 2009
- SIAM Student Research Conference,
Exploring the world of MR brain images via Diffusion Maps, Davis CA, May 2008
- Advanced Image Processing and Analysis, Normalized Cuts and Image Segmentation, UC Davis, April 2008
- Qualifying Exam Talk,
Diffusion Based Clustering,
March 2008
- Student Run Seminar,
Diffusion Based Clustering, UC Davis, Feb 2008
- IPAM, Mathematics of Knowledge and Search Engines
style='font-family:"Trebuchet MS";language:EN'>Diffusion Based Clustering
Dec 2007
- AMS
and
MAA
joint conference, AMS Session on Probability and Statistics Gambler's Ruin with Catastrophes and Windfalls, Hunter (UC Davis), Krinik, Nguyen, Switkes and von Bremen, (Cal Poly Pomona) New Orleans, LA, January 2007
- Masters Thesis Defense, Gambler's Ruin and the three state Markov Process, Pomona CA, July 2005
Conferences / Workshops
IPAM, Cultural Analytics, Inst. for Pure & Applied Mathematics, UCLA, April 2016 - June 2016
- AAAI, Manifold Learning and its Applications (sparsity and compressive sensing), Compressed Spectral Clustering, Arlington, VA, Nov 2010
- NIPS, Manifolds, sparsity, and structured models Vancouver, B.C., Canada, Dec 7 - 12, 2009
- SAMPTA - Sampling Theory and Applications Marseilles France, May 18 - 22, 2009
- IPAM, Mathematics in Brain Imaging
UCLA, July 14 - 25, 2008
- Asilomar Conference, Signals, Systems and Computers Pacific Grove CA, Oct 26 - 29, 2008
- SIAM, Imaging Science Confrence, San Diego, CA, July 7 - 11, 2008
- IPAM, Mathematics of Knowledge and Search Engines, UCLA, Sept 10 - Dec 14, 2007
- IPAM, Sparse Representations and High Dimensional Geometry UCLA, May, 2007
- Lawrence Livermore National Laboratory, Signal and Imaging Sciences Workshop LLNL, Nov 2006
Tutorials
- IPAM, Research in Industrial Projects for Students UCLA, Los Angles, CA, June 2010
- Linear Algebra - singular value decomposition
- Compressed Sensing - sparsity, l-1 minimization, OMP
- Machine Learning - clustering, classification, SVM, regression
- Convex Optimization - KKT conditions, primal/dual, regularization, kernel methods
- Matlab - Tutorial
