June: I am speaking in the online One World Mathematics of INformation, Data, and Signals (MINDS) seminar.
May: I am co-organizing a minisymposium Safety and Security in Artificial Intelligence (AI) and Deep Learning (DL) at the SIAM Mathematics of Data Science conference. Update: we are hoping to hold this online sometime in June.
May: I will be speaking in the minisymposium From Randomized Linear Algebra to Randomized Functional Analysis at the SIAM Mathematics of Data Science conference. Update: the physical conference was cancelled, but this event was held online: https://www.siam.org/conferences/cm/conference/mds20
March: I will be giving an invited mini-tutorial at the 2020 SIAM UQ Conference in Munich, Germany. Update: sadly SIAM UQ was cancelled due to COVID-19.
February: I will be speaking in the departmental colloquium at Dartmouth College, New Hampshire.
December: Boris Hanin is visiting SFU and giving a PIMS-CSC seminar on deep learning.
December: Laura Thesing is visiting SFU and giving a seminar on deep learning.
November: I will be speaking in the PIMS Distinguished Lecture Series at University of Lethbridge, Alberta.
November: I will be speaking in Imperial-UCL Numerics Seminar in London, UK.
October: My student Juan and I will be speaking at the 2nd Biennial Meeting of the SIAM PNW Section in Seattle, Washington.
July: Nick and I are co-organizing the PIMS CRG Summer School: Deep Learning for Computational Mathematics at SFU, Burnaby. Over 45 students are participating.
June: I am organizing the theme on Compressed Sensing/Data Science at the 2019 CAIMS Annual Meeting in Whistler, BC. My postdoc Simone is co-organizing the session on Sparse Recovery and Machine Learning in Computational Mathematics, and my students Jackie, Juan, Matt and Yi are giving presentations at the conference.
May: I will be an invited speaker at the workshop Mathematics of data: structured representations for sensing, approximation and learning at the Alan Turing Institute in London, UK.
April: I will be speaking in the departmental colloquium at Michigan Technological University in Houghton, Michigan.
March: I will be speaking in the minisymposium on Sparse Function Approximations: Theory and Applications at the 2019 SIAM CS&E Conference.
February: I am attending the Isaac Newton Institute programme on Approximation, sampling and compression in data science at the University of Cambridge.
2018 Read more!
December: I am organizing a session on Sparse Recovery, Learning, and Neural Networks at the 2018 Canadian Mathematical Society Winter Meeting.
November: I am an invited speaker at iTWIST’18 in Marseille.
October: I am an invited speaker at the Analysis and Computation in High Dimensions workshop at the Hausdorff Center for Mathematics in Bonn.
April: I am co-organizing a workshop at BIRS on Numerical Analysis and Approximation Theory meets Data Science with Andrea Bertozzi, Ron DeVore and Clayton Webster.
I am also speaking in the minisymposium on Sparse Approximations Algorithms for High-dimensional Problems in Uncertainty Quantification.
February: Daan Huybrechs is visiting SFU and giving the PIMS-CSC Colloquium.
January/February: I am attending the Isaac Newton Institute programme on Uncertainty quantification for complex systems: theory and methodologies at the University of Cambridge.
2017 Read more!
October: My group members Simone Brugiapaglia, Yi Sui, Matthew King-Roskamp and I will be attending the 1st SIAM PNW Biennial Meeting in Corvallis, Oregon.
July: I will be attending the 2017 FoCM Conference in Barcelona, Spain and giving talks in the Approximation Theory and Computational Harmonic Analysis and Compressed Sensing workshops.
May: Claire Boyer is visiting SFU for one month as a PIMS Distinguished Visitor.
May: I will be an invited speaker at the 47th John H. Barrett Memorial Lectures at the University of Tennessee, Knoxville.
March: I will be attending the Oberwolfach workshop on Multiscale and High-Dimensional Problems.
February: I will be speaking in the minisymposium on Compressive Sampling Methods In High-Dimensional Stochastic and Parametric Approximations at the 2017 SIAM CS&E conference.
February: Akil Narayan is visiting SFU on 09/02.
February: Clayton Webster is visiting SFU and giving the PIMS-CSC Colloquium.
January: I will be speaking in the SCAIM Seminar at UBC on January 17.
2016 Read more!
December: I will be speaking in the Data Seminar at Johns Hopkins University on December 7.
October: Paul Constantine is visiting SFU from 05/10 – 08/10.
September: Rodrigo Platte is visiting SFU from 19/09 – 30/09
September: I am organizing a special session in compressed sensing at the 2016 IEEE Information Theory Workshop.
June: I will be speaking in the minisymposium Recent Advances in Scientific Computing at the Canadian Applied and Industrial Mathematics Society 2016 Annual Meeting in Edmonton, Alberta.
April: I will be speaking in the minisymposium Theoretical and Computational Advances in Collocation Approximations for High-Dimensional Problems at the SIAM Conference on Uncertainty Quantification in Lausanne, Switzerland.
2015 Read more!
December: I am an invited speaker at the 2nd International Matheon Conference on Compressed Sensing and its Applications.
August: With Prof Weiran Sun, I am co-organizing the 2015 SFU Symposium on Mathematics and Computation.
June: I am co-organizing The 2nd Canadian Symposium On Scientific Computing And Numerical Analysis at the 2015 AMMCS-CAIMS Congress in Waterloo, Canada.
May: I am co-organizing a special session at SampTA 2015 on Compressed Sensing and Sparsity Based Regularizations.
March: I am co-organizing two minisymposia at the 2015 SIAM CS&E conference:
- Advances in Compressed Sensing and Structured Sparse Representations
- Novel Spectral Approximation: Theory, Algorithms and Applications
March: I will be speaking in the Special Session on Approximation Theory in Signal Processing and Computer Science at the AMS Sectional Meeting at Michigan State University.
February: I will be giving an invited seminar at the PIMS/Shell Lunchbox Lecture series in Calgary: Compressed Sensing: Theory, Applications and Extensions.