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Associate Professor in
Computer Science
Outside of email, your best shot at contacting me is to try my office between 5 pm and midnight on Monday, Wednesday, Thursday, or Friday, in person or by phone, except during my mesh generation class, which takes place Mondays and Wednesdays, 5:30-7:00 pm. (I do not come to campus or read email on Tuesdays.) Those are the ideal times to ask me about research, coursework, or anything else. Sadly, Soda Hall is locked after 6:30, so call my office if you want to visit and don't have a keycard. While you're by, ask me to make a pot of tea. I get teas from Upton Tea Imports, a first-rate importer in Massachusetts, and I enjoy introducing people to the good stuff. Mornings I sleep and afternoons I shuttle from meeting to meeting. Attempts to phone me during that period are futile. |
If you are considering applying for graduate school or a postdoctoral position in the Computer Science Division, please read this note.
EXACT ARITHMETIC AND ROBUST
GEOMETRIC PREDICATES.
I've written a set of fast routines for exact floating-point
addition and multiplication, which I've used to create
fast correct geometric predicates, namely the two- and three-dimensional
orientation and incircle tests.
These predicates are used to make the Delaunay triangulation routines
in Triangle and Pyramid robust against roundoff error.
See my
Robust Predicates page for more information, for papers,
or to obtain the C source code.
RESEARCH OVERVIEW.
Here's a self-contained summary of some of my research.
This is the fastest way to learn a bit about my work.
THREE SINS OF AUTHORS IN
COMPUTER SCIENCE AND MATH.
A short crotchety essay that will improve your technical writing,
or annoy you trying.
You won't find these sins decried in the usual books of writing advice.
While you're at it, you might be interested in my (less snarky) advice on
Giving an Academic
Talk.
ARCHIMEDES.
Our secret to producing such huge unstructured simulations?
With the collaboration of David O'Hallaron, I've written
Archimedes,
a chain of tools for automating the construction of general-purpose
finite element simulations on parallel computers.
CS 274: COMPUTATIONAL GEOMETRY
(Autumn 2006,
Spring 2005,
Spring 2003).
Geometric algorithms, analyses, and applications.
Polygons, polytopes, triangulations, planar and spatial subdivisions,
convex hulls, halfspace intersections, Voronoi diagrams,
Delaunay triangulations, arrangements of lines and hyperplanes.
Geometric queries (databases, point location), binary space partitions,
robot motion planning, cartography, solid modeling,
small-dimensional linear programming, and more.
CS 170: EFFICIENT ALGORITHMS AND
INTRACTABLE PROBLEMS (Spring 2001).
The study of advanced algorithms, including graph algorithms,
dynamic programming, linear programming, matrix multiplication,
and number theory, plus an introduction to the theory of
NP-completeness.
CS 61B: DATA STRUCTURES
(Autumn 2006,
Spring 2005,
Spring 2004,
Spring 2002,
Spring 2000,
Autumn 1998).
An introduction to data structures (lists, trees, hash tables, graphs, etc.),
simple algorithms (searching and sorting), encapsulation,
and the language Java.
CS 4 aka CS 39L: INTRODUCTION TO COMPUTING FOR
ENGINEERS (Spring 2006).
An introductory computer programming class that employs
examples from engineering and science.
An alternative to CS 3, taught in the language Java.
RAVIKRISHNA KOLLURI in December 2005 completed his Ph.D. on surface reconstruction algorithms, including spectral surface reconstruction, scan registration, moving least squares interpolation for generating implicit surfaces, and the very cool Power Crust. He now works at Google.
FRANÇOIS LABELLE in August 2007 completed his Ph.D. on tetrahedral mesh generation algorithms with guaranteed dihedral angles (notably isosurface stuffing). During his time at Berkeley, he also did lovely work in anisotropic mesh generation. He now works at Google.
JESSICA SCHOEN
is studying robust anisotropic mesh generation in the plane and on surfaces.
CALVIN AND HOBBES AND
CARNEGIE MELLON UNIVERSITY'S
SCHOOL OF COMPUTER SCIENCE.
My t-shirt design for the 1994 Immigration Course.
For printing, here's the
full-size version (3553 x 5861, 621k GIF),
which is also a 600 dpi scan of a sheet of legal-size paper.
While I've been aware of these facts for some time, I now have a rigorous account to direct people to. Gary Taubes, in Good Calories, Bad Calories—his new exposé of what the scientific data really reveal—writes, “The institutionalized vigilance, `this unending exchange of critical judgment,' is nowhere to be found in the study of nutrition, chronic disease, and obesity, and it hasn't been for decades. For this reason, it is difficult to use the term `scientist' to describe those individuals who work in these disciplines. … The result is an enormous enterprise dedicated in theory to determining the relationship between diet, obesity, and disease, while dedicated in practice to convincing everyone involved, and the lay public, most of all, that the answers are already known and always have been—an enterprise, in other words, that purports to be a science and yet functions like a religion.” Harsh words, but words entirely justified by the data in the research literature—though the papers that present those data often go through great contortions to explain them away and defend the dogma.
I call upon the National Institutes of Health (NIH) to fund large randomized
controlled trials that test the hypothesis that carbohydrates are central
in the etiology of coronary heart disease, diabetes, and obesity. Over the
past two decades, the NIH has dedicated its largest nutritional grants to
unsuccessfully confirming the “fat is bad” hypothesis, while
neglecting all competing hypotheses. We are all suffering for this
misallocation of resources.
“In my psychedelic, hazy-vision state, where I reach the ultimate
heightened awareness of the beer-buzz, I realise the true meaning of exams:
that professors are evil, torture-loving beings, and that we cannot blame them
for their shortcomings.”
—
Rob Chung
“We need a more lasting form of negative feedback than just
paper rejections.”
— Jonathan Hardwick
on research
— Robert Silverberg's
cube
from Tower of Glass.