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ICIAM 2011

Vancouver Convention Centre Registration

About 3000 people attended the 7th International Congress on Industrial and Applied Mathematics (ICIAM) at the Vancouver Convention Centre July 18-22. Below are links to summaries and pictures of some of the events that took place at the congress.

* Opening Ceremony * Modeling Biological Invasions * AMS Exhibit * The Gulf Oil Spill * The John von Neumann Lecture by Ingrid Daubechies * Restoring an Important Fresco * Public Lecture: Math In and Out of the Zoo * Prizes and Awards Luncheon * Climate Change * Slideshow of various sights

Opening Ceremony

Arvind Gupta, CEO and scientific director of Mitacs, and Rolf Jeltsch, ICIAM president, began the congress by welcoming the attendees from more than 70 countries. After the welcome, the following prizes were awarded by Alistair Fitt, ICIAM secretary:

  • Collatz Prize, Emmanuel Candès (Stanford University)
  • Lagrange Prize, Alexander J. Chorin (University of California, Berkeley)
  • Maxwell Prize, Vladimir Rokhlin (Yale University)
  • Pioneer Prize, James Albert Sethian (University of California, Berkeley and Lawrence Berkeley National Laboratory)
  • Su Buchin Prize, Edward Lungu (University of Botswana)

Following the prize ceremony, First Nations people danced and explained their heritage. Part of that heritage is the talking stick which was passed to speakers at councils. Gupta presented Jeltsch with such a stick near the end of the ceremony. Throughout the remainder of the meeting, organizers presented plenary lecturers with a smaller version of the large stick.

Talking stick

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New Challenges in Modelling Biological Invasions, Mark Lewis (University of Alberta)

Observed vs. theoretical spread ratesIn this plenary lecture, Lewis described both the history of modeling plant and animal invasions and the current work in the subject. A model independently derived by R. A. Fisher and Andrei Kolmogorov in the 1930s is a second order non-linear partial differential equation relating the rate of change in the density of a species to its growth and dispersal. This model works pretty well but fails for many species, such as the cereal leaf beetle and oak trees (after the last Ice Age), because of long-range dispersal. For example, the beetle is spread by wind and so population density jumps in places unaccounted for by Fisher and Kolmogorov's model. In these cases, the model is more complicated. Lewis also explained conditions under which the non-linear models can be linearized and said that determining if linearization is possible is an active area of research. (Graph of observed vs. theoretical spread rates courtesy of Mark Lewis.)


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AMS Exhibit

Vancouver Convention Centre AMS exhibit

 

The Vancouver Convention Centre is a beautiful facility situated on the shore of Coal Harbour. The exhibit space was on the centre's second level, with windows facing the harbor. ICIAM served refreshments in the exhibit area during the half-hour morning and afternoon breaks, drawing many attendees to socialize and visit the booths. The AMS displayed books in applied mathematics on sale at a discount for attendees, AMS posters and Mathematical Moments that promote awareness of applied mathematics, the new AMS t-shirt with vintage logo, and information on AMS programs and services, such as employment services, fellowships and travel grants, and prizes and awards for mathematicians and students in applied fields. When the exhibits closed, students lined up for the "Book Grab," at which they could obtain free books donated by exhibitors.

Food at the exhibits Book grab

 

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Minisymposium and Plenary Lecture related to the Gulf Oil Spill

The BP Oil Discharge, the Search for Energy and its Consequences

*Minisymposium organizer Ben Fusaro (Florida State University) examined the discharge rates claimed by BP before the well was capped and noted that since fines are based on the amount spilled, BP had no incentive to be accurate. He showed some unbiased estimates, which were much larger than BP's and eventually shown to be closer to the truth. Fusaro then looked at the larger picture of why oil use is so prevalent. It does have a high energy density and is easy to transport, but because it is now harder to find than it was, say 75 years ago, its energy return on investment has decreased dramatically.

Spread of spill, predicted and from satellite images*Clint Dawson (University of Texas) used his model that was developed for predicting storm surge on the Gulf Coast to help forecast where the surface oil would go during the spill. He also showed slides of where the oil may have gone had a major hurricane struck the Gulf at the time. Dawson said that had this happened the model showed oil would have inundated the coast from Southeast Louisiana to Texas. He concluded by saying that his model was very sensitive to the quality of satellite imagery (which was often unreliable because of cloud cover) and that working with the government on this spill would make it more likely that people in power would pay better attention to models in the future. (Image of model's predictions, in red, for June 30, 2010 along with satellite imagery of the spill, in blue, courtesy of Clint Dawson.)
*Mac Hyman (Tulane University and Los Alamos National Laboratory) emphasized that "we need a lot more people working on these problems," both to predict the course of a spill along with its ecological impact, and to enter the "decision loop." Currently crews are still cleaning along the Gulf Coast but are told not to clean below 1/4" of sand. That is, "out of sight, out of mind."

Particle Laden Viscous Fluids and the Gulf of Mexico Oil Spill, Andrea Bertozzi (UCLA)

Bertozzi began her plenary lecture, which concerned what happens when oil and sand mix, by saying that undergraduates who knew differential equations could do some of the modeling in this area. This is a long history of research into water-particulate mixtures, but not into oil-particulate mixtures. Furthermore, beach sand has some water in it, which means oil behaves differently than it would if the sand were completely dry. Bertozzi showed several videos of experiments done in her lab involving different particle densities and different angles of inclination for the sand. She said that in her experiments there is a bifurcation between when fingers of mixture form and when ridges form.

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CIAMS/Mprime/SIAM Awards Luncheon

On Thursday afternoon, a prizes and awards luncheon was held. Pictured above are many of the prize and award winners, who are all listed below. In addition, the 2011 class of SIAM Fellows was recognized.

SIAM prize/award recipients:

  • The John von Neumann Lecture: Ingrid Daubechies (Duke University)
  • AWM/SIAM Sonia Kovalevsky Lecture: Susanne C. Brenner (Louisiana State University)
  • Peter Henrici Prize (awarded jointly by ETH Zurich and SIAM): Bjorn Engquist (University of Texas at Austin)
  • Ralph E. Kleinman Prize: Gunther Uhlmann (University of California, Irvine and University of Washington)
  • W.T. and Idalia Reid Prize: Irena Lasiecka (University of Virginia)
  • SIAM Prize for Distinguished Service to the Profession: David E. Keyes (Columbia University and King Abdullah University of Science and Technology)
  • SIAM Outstanding Paper Prizes: Justin Brickell (Google), Inderjit Dhillon (University of Texas at Austin), Suvrit Sra (Max Planck Institute for Biological Cybernetics), and Joel A. Tropp (Caltech) for "The Metric Nearness Problem"; Constantinos Daskalakis (MIT), Paul W. Goldberg (University of Liverpool), and Christos H. Papadimitriou (University of California, Berkeley) for "The Complexity of Computing a Nash Equilibrium"; and Iftach Haitner (Tel Aviv University), Minh-Huyen Nguyen, Shien Jin Ong, Omer Reingold (Microsoft), and Salil Vadhan (Harvard University) for "Statistically Hiding Commitments and Statistical Zero-Knowledge Arguments from Any One-Way Function"
  • SIAM Award in the Mathematical Contest in Modeling: Enhao Gong, Rongsha Li, Xiaoyun Wang (Tsinghua University) for the Continuous Problem; and Daniel Furlong, Dylan Marriner, Louis Ryan (Harvey Mudd College) for the Discrete Problem
  • SIAM Student Paper Prize: Necdet Serhat Aybat (Columbia University), Sungwoo Park (University of Maryland, College Park) and Xiangxiong Zhang (Brown University)

CAIMS/SCMAI prize/award recipients:

  • Arthur Beaumont Distinguished Service Award: Robert D. Russell (Simon Fraser University)
  • Early Career Award in Appplied Mathematics (awarded jointly by CAIMS and PIMS): Adam Oberman (Simon Fraser University)
  • Research Prize: Michael Ward (University of British Columbia)
  • Industrial Mathematics Prize (awarded jointly by CAIMS and Mprime): Ian A. Frigaard (University of British Columbia)

Mprime awards:

  • Excellence in Mentorship: Michael Brudno (University of Toronto)
  • Student Awards: Best Student Paper for Mprime-related Research: Guillaume Duclos-Cianci (University of Sherbrooke); Best Novel Use of Mathematics in Technology Transfer: Mohammad Chehreghani Bozchalui (University of Waterloo)

Wilkinson Prize for Numerical Software (awarded by the Argonne National Laboratoyr, the National Physical Laboratory [UK] and the Numerical Algorithms Group): Andreas Wächter (IBM T.J. Watson Research Center) and Carl D. Laird (Texas A&M University)
ORMI-OP&PM Prize (First degree): Vasily Nikolaevich Zubov (MICEX-Moscow Interbank Currency Exchange)

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"Sparsity in Data Analysis and Computation," The John von Neumann Lecture, Ingrid Daubechies (Duke University)

Daubechies started by saying that John von Neumann was a "personal hero" of hers and if she could choose one person from the past to meet and talk with, she would choose von Neumann over Einstein. During the lecture she said that sparsity has had an emerging role over the last four decades, for example, in digital imagery, and noted that people are beginning to glimpse some very important things in the subject. Daubechies contrasted representing images using Fourier transforms with representing them using wavelets, as is done with the JPEG 2000 standard. Despite the use of wavelets in this recent standard, wavelets have not had much impact on consumer products. One evening, however, Daubechies happened to be watching ESPN and noticed characteristics in the video highlights that prompted her to conclude that wavelets were used in the videos. Now compressive sensing has been developed to acquire an image sparsely. (Hear Emmanel Candès talk about compressive sensing.)

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Mathematics Enters the Picture: Mantegna's Frescoes and their Computer-Assisted Restoration, Massimo Fornasier (Technical University of Munich)

Mantegna fresco
The church as it looked before the bombing

In 1944, during World War II, the Allies bombed the Eremitani Church in Padua, Italy reducing the frescoes inside the church to rubble. Fornasier is using math to try to place some of the tiny pieces and restore the frescoes by Andrea Mantegna, which have been characterized as the "first steps from Medieval times to the Renaissance." There are more than 100,000 fragments involved, collected in over 100 boxes. Fornasier and his team cleaned many pieces, photographed them and put the images on more than 30 CDs. These small images are compared with images taken of the frescoes before they were bombed to find where the pieces fit. The images are decomposed using circular harmonics, which are rotationally invariant and best suited for maneuvering to find the possible locations for a piece. Once candidate locations are identified, humans make the final decision about where a fragment should be placed. Fornasier begain with only about 10% of the original fresco but his work has served as a significant starting point for the physical restorers. Read about the project (in Italian). (Images courtesy of Massimo Fornasier.)

Fresco with section that was restored Enlarged section with replaced fragments

Left: Section (in red) where fragments (above) were placed.


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Public Lecture: Math In and Out of the Zoo, Chris Budd (University of Bath)

Chris Budd before the lecture Chris Budd during his lecture

Budd (pictured above) designed his lecture to answer the questions:

  • What does a mathematician do? and
  • What does a mathematician do when not in the office or at a conference?

and to show that "good math really is everywhere." He described a few situations in which math has helped model problems connected with animals, and often animals in the zoo. One of those occurred at the Bristol Zoo and involved incubating penguin eggs. Zookeepers steal eggs from penguins to encourage the mothers to lay more eggs. Yet the man-made incubation of the eggs had a high failure rate. Penguins rotate the eggs and the prevailing opinion was that this is done so that heat is distributed evenly. Math modeling based on the heat equation showed, however, that this is not the case because eggs without rotation remained uniformly heated after about 20 minutes. Research into the problem found that rotation actually dispersed nutrients between the yolk and the portion of the egg where the penguin develops and removed waste material. Once these facts were known and incorporated into the incubation process, success rates rose to 90%. In another example, Budd talked about using math to look inside a bee hive (without using smoke) and figure out what is destroying bee populations. He said that this is done with CAT scans, which depend on the results of Johann Radon obtained in the early 1900s. Budd noted that this research finding its application 60 years later is a "good lesson for grant awarders."


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Plenary Lecture and Minisymposium on Climate Change

Toward a Mathematical Theory of Climate Sensitivity, Michael Ghil (UCLA and École Normale Supérieure)

In his plenary lecture, Ghil explained why the climate system is highly complex and highly non-linear, incorporating the atmosphere, ocean and ice sheets on many space and time scales. Modelers go back and forth between simpler conceptual models and detailed, realistic modes, as well as between models and data. He talked about uncertainties in the models and how perhaps to fix them by using measure theory and dynamical systems. Ghil concluded with these two questions and partial answers:

  • What do we know?
    It's getting warmer and we do contribute to the warming
     
  • What do we know less well?
    How much warmer it's getting, how the climate system really works and how natural climate variability interacts with man-made inputs

Mathematics and Statistics in Climate Data Reconstruction and Uncertainty

Speakers in this minisymposium spoke about uncertainty in climate data and the difficulties in recovering data from sources such as tree rings and ice cores. Such data is called proxy data. Regarding the former, Julien Emile-Geay (University of Southern California) said that even when we have measurements, the data can not be relied on. He showed several methods that can be used to remove noise from data sets to obtain more reliable data. Regardin the latter uncertainty, Michael Mann (Pennsylvania State University) noted that using proxy data is an inverse problem: trying to determine climate based on, for example, tree rings, which were caused by the climate. He hopes to model how proxy data responds to climate in a way that allows us to better understand the climate.

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The 8th International Congress on Industrial and Applied Mathematics (ICIAM 2015) will take place in Beijing.

Some of the sights

 

Photos and text by AMS Public Awareness Officers Mike Breen and Annette Emerson .