Beginning January, 2013, Sean Andersson will serve as an Associate Editor for the SIAM Journal on Control and Optimization. Congratulations and good luck!
Jeremy Rosenthal was awarded a Spring 2013 UROP grant to conduct research with Natalia Broude (BME). Congratulations!
Andersson awarded a three year NSF grant titled “Collaborative Research: High-speed AFM through compressive sensing”
Prof. Andersson was awarded an NSF grant to support work on applying compressive sensing techniques to develop high-speed AFM through reduced sampling. This is a collaborative project with Prof. Lucy Pao of the University of Colorado, Boulder. Congratulations!
Papers by Peng and Sean (“Fast scanning in AFM using non-raster sampling and time-optimal trajectories”), Trevor, Catherine and Sean (“Validation of a nonlinear reactive control law for three-dimensional particle tracking in confocal microscopy”) and Morteza, Sean, and Calin Belta (“Approximate Markovian abstractions for linear stochastic systems”) have all been accepted to the 2012 CDC. Congratulations to all. Hawaii, here we come!
Both Peng Huang and Sean Andersson were recognized as the best presenters in their sessions at the recent American Control Conference in Montreal. Congratulations!
Catherine Chan-Tse has been awarded a Lutchen Fellowship in support of her work on tracking single fluorescent nanoparticles. This fellowship will support her summer work in the Andersson lab. Congratulations!
Catherine Chan-Tse has won a UROP Faculty Matching Grant for the 2012 summer term in support of her work on tracking single fluorescent molecules in confocal microscopy. Congratulations to Catherine!
Congratulations to Ana!
Two papers by the Andersson group have been accepted for publication at the 2012 American Controls Conference, in Montreal. The first, titled “Fast detection based on semi-transient signals in AFM” is by Peng Huang and Sean B. Andersson and discusses a method to measure the width of narrow samples when scanning them using the Andersson lab’s local-raster scan algorithm.
The second, titled “Non-raster sampling in atomic force microscopy: a compressive sensing approach”, by Sean B. Andersson and Lucy Y. Pao (of the University of Colorado at Boulder) describes a new idea for reducing the number of samples needed to produce an image using AFM.