Waves in the Market: A Pixel-Based Approach to Visualizing Market Trends in Historical Stock Data
PI: Joseph LaViola
Co-PI: Marc Mazjner
Co-PI: Paul Reitsma
Co-PI: Jon Reiter (Outside collaborator from Dept. of Economics)
Topographical feature detection in height graphs through VR interaction.
PI: Daniel Acevedo
Co-PI: Frederic Leymarie (External consultant from Engineering Dept.)
Project Title: Visualization of Development in Self-Organizing Recurrent Neural Networks
PI: Han Amarasingham (Cognitive Science & Applied Mathematics)
Co-PI : Matthew Hutson (Cognitive Neuroscience)
The impact of shape-from-shading cues on virtual 3D systems
People: Danah Beard, Leslie Welch (psychology), Bill Warren (cog sci)
295 folk who might be interested in working with me:
Avi Walsky (neuro/cog sci), Matt Hutson (neuro), Bill White (cs/cog sci)
Visualization of 3D protein image with the emphasis of uncertain factors.
PI: Quan Gu
Co-PI: Pramod Paranthaman(tentative)
consultant: Guo Dongbai (on computer graphics)
3D Vessel Reconstruction from EKG Gated Single Plane Angiograms
PI: Dongbai Guo
Co-PIs: Tim Rowley, Song Zhang
Consultant: David Williams
1.) I think multidimensional scaling (MDS) techniques based upon subjective measurements of similarity could be a powerful tool for modeling cognitive categorization strategies and internal knowledge/relationship structures relating to perceptual objects or abstract concepts. Specific applications (subject domains) or problems to be solved using these methods are numerous, I'm sure.
2.) The field of imaging artificial neural network activity patterns or memory representation may be saturated already, but then there could also be windows for new or more intuitive methods.
3.) I'd like to measure and display traffic through web pages or hypertext pieces. This would have important consequences for educational multimedia pieces as well as internet marketing.
4.) I'm interested in using an eye tracking device to record subjects' scanning patterns of 2D images, significantly art (paintings), 2d pictures of 3d objects or environments, or impossible images like Escher's waterfall or stairway pictures. Perhaps this could also be incorporated with QTVR objects to record how subjects put 3D objects into memory ("browsing" the object and returning their gaze periodically to specific salient features, etc.)
5.) I really want to explore real-time spatial models of brain
activity. fMRI imaging goes at about one frame per second, and EEG has a
higher temporal resolution but displays a bunch of lines on a page. I'd
like to take raw EEG date and apply it to a 3d model of a brain to get a 3d
representation of electrical activity during real-time cognitive processing
tasks. Perhaps EEG recordings could be made as a subject plays an improv
jazz instrument, and then the a sound recording of this musical session
could later be played back in synchrony with the rendered brain activity
data to show what parts of the cortex were active during what parts of the
Extending the Painting Metaphor in Visualizing 2D Flows by Applying a Wet-on-Wet Oil Painting Technique to Fuse and Suggest Motion in Multiple Layers of Visualized Data
PI: Daniel Keefe
OtherI: Paul Reitsma, Song Zhang
Mike Kirby (Flow Vis Analysis) - still waiting to hear back
Anne Spalter (Art/Color/Graphics) - meeting on Fri.
Visualization of emerging-market debt pricing models
Marc Majzner, PI
Joseph LaViola, Co-PI
Title: Modeling length of wrist-ligaments.
PI: Liz Marai
Trey Crisco (?) - medical part
Cagatay Demiralp (?)
Stuart Andrews (?)
Visualization of Color Spaces
Leslie Welch or Bill Wooten (psychology dept)
Interactive Visualization of 2D surfaces in 4D space
PI : Prabhat
Co-PI: Daniel Acevedo
Outside Collaboration: Prof. Thomas Banchoff (Maths Dept.)
Interactive visualization and manipulation of molecular structure in a VR environment.
PI: Pramod Paranthaman
Co-PI: Quan Gu (Dept. of Chemistry)
Co-PI: Prabhat (Tentative)
For two years I was doing numerical simulations of different models of liquid crystals.These simulations help to understand the inportans question,namely how molecular structure influences observed macroscopih behavour.As molecular models we are using phenemlogical ones.That means we include only essential features such as shape (ellipsoid of revolution) ,electric moments, attractive and repulsive parts of interacting potential. In many cases visualizations provides important insights into the physical behavour of these systems.
There are several diffferent phases of liquid crystals such as isotropic,nematic,smectic and so on.As a result of my simulations I obtained distribution of molecules for these phases with various external parameters. The main goal for this course will be draw 3D images for these configurations.(1)
I am planning to finish this project in two month.If there will be time left I would devote it to making animations of evolution of liqid crystal system with time.The data files I have obtained from Molecular Dynamics Method which is very important in understanding dynamical properties of LC systems.(2)
Also I am thinking about working with George Loriot on a project with LC on cave,which should be done in two month.
And finally I am currently working in simulating the stability
of a escaped radial configuration of LC in a cylinder.Drawing
some visualisations for these vector fields will be very
useful for me,may be for future publication.
title: Quantifying the Benefits of Artistic Methods in CFD Data Visualization
PI: Jon Reiter
Co-PI: Joe LaViola
Co-PI: David Laidlaw
Co-PI: Mike Kirby, collaborator from Center for Fluid Mechanics, Turbulence and
Visualizing Heat, Salinity, and Water Flows for a Holistic Understanding of Salt Fingers
PI: Paul Reitsma
Other I: Daniel Keefe
Oceanography Consultant: Jordan Dawe (University of Washington)
Title: Visualizing large structure formation in the early universe
PI: Tim Rowley
Co-PI: Jon Reiter
Collaborator: Dimitris Mitsouras (MIT LCS, tentative)
Collaborator: Rober Brandenberger (Brown HET, tentative [awaiting feedback])
Title: Visualizing financial data in maps and 3D interactive graphs.
Participants: Joe LaViola (computer science), Matt Hutson (cognitive science),
Shelby Freedman (Psychology), George Liu (economics).
title: Construction of Three Dimensional Objects from Two Dimensional Perspective Images
PI: Avi Walsky
Collaborators: Professor James Anderson, Cognitive Science
Title: Encoding of Macroscopic Information About Tree-like Structures
PI: Ben White
Danah Beard - how motion and color relate to visual perception
Rob Gordon (CogSci) - how color and orientation relate to visual perception
David Hornug (Color @ RISD) - encoding mass quantities of information using color
Visualize diffusion tensor field with streamtubes
PI: Song Zhang
Team member: Daniel Acevedo, Paul Reitsma
Consultant: David Laidlaw, Eric Ahren (Caltech)