Plans and Goals/Spring 2012

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Brad

  • Provide software support for BioEngineering.
    1. Fix bugs as needed.
    2. Enhancements under consideration are:
      • Register single bones.
      • Improve performance and ease of use.
      • Migrate fully to Windows.
      • Deploy to collaborators outside Brown.
      • Generalize to other bones (foot and knee).
  • Help set up software for the new cave.
  • Improve software services for students.


Çağatay

  • Graduate
    • Take a job around New York
      • Give good talks at Harvard
    • Finish writing the thesis
      • Topological signatures for global analysis to MICCAI
      • MRF-MAP framework to diffusion modeling to MICCAI
  • Semantic segmentation of gliomas to MICCAI
  • Magazine article on theory of visualization to CG & A
  • Theory of visualization to VisWeek
  • Surface deformation to TOG


Caroline

  • Get a job!
    • Go on interviews, network, improve job talk, etc.
  • Prepare a VisWeek submission extending task analysis work
  • Help Steve's group on the whiteboard/explanations project; also aim for VisWeek
  • Submit TVCG article based on VAST locus of control paper
  • Service activities
    • VisWeek program committee
    • Reviews
    • NSF panel?



David

Eni

Jadrian

Today's Date: 12/08

  • Meta-objective: make measurable progress toward the dissertation.
    • Key result: curve-clustering / macrostructure-initialization chapter is complete by 04/27.
    • Key result: chapter outline for the first-pass "real" problem is complete by 04/27.
      • Neither of these got done this semester.
  • Objective: Finish the toy problem.
    • Key result: Success is defined by 01/10.
      • Demonstrate that the ground-truth configuration is a local optimum of the chi-squared goodness-of-fit measure.
      • Write a simple local search optimizer that improves goodness-of-fit—no need to go overboard tweaking it, though; a simple demonstration of improvement by geometrical adjustment, splitting, and joining is sufficient.
      • Wrote success definition 01/08--10.
    • Key result: Principled solver meets success criteria by 01/17.
      • Wrote an optimizer and wrapped up toy problem on 01/16.
  • Objective: Submit a paper to MICCAI.
    • Key result: Potential paper subjects are defined by 01/17.
      • Subject: Streamline clustering based on chi-squared reconstruction error of coherent structures.
      • Done before 01/17.
    • Key result: Paper draft is ready by 01/27.
    • Key result: Paper is submitted by 03/01.
    • Key result: Additional OKRs for after the submission are defined by 03/02.
    • Can't write the code and the paper in time for the MICCAI deadline (decided 02/17). The rough outline (done before 01/27) is still a good guide though.
  • Objective: Upgrade the toy problem to a simple 3-D case.
    • Key result: Clustering objective function is coded up by 01/27.
      • Objective function defined in terms of chi-squared before 01/27, but not implemented.
    • Key result: success defined for clustering by 02/24.
      • Clustering must perform better with respect to streamline reproduction, as measured by chi-squared goodness-of-fit, than at least two other competitor clustering algorithms. May want to compare to the Lawes cortical-ROI-based approach too.
      • Success defined late, 03/09.
    • Key result: success defined for real problem by 02/24.
      • There are four demonstrations of success I think are compelling. Demonstrations of success with synthetic data may be intermediate, but to finish the dissertation I think the following is required:
        1. Demonstrate (by pictures) specific challenging regions in which the multi-scale approach reconstructs structures better than two competitors.
        2. Demonstrate (numerically) that image reconstruction, as measured by chi-squared goodness-of-fit, is better than two competitors.
        3. Demonstrate (in prose, or maybe with a quick user study) that selection tasks for specific brain structures are easier and more precise than with ROI+tractography methods.
      • Success defined late, 03/09.
  • Objective: Submit a paper to a journal in 2012.
    • Key result: Potential paper subjects are defined by 03/06.
      • The clustering paper described by the above definition of success would be a good submission.
      • Would it be possible to write up the toy problem as a case study for doing the Rician-to-Gaussian transformation for chi-squared analysis?
      • Paper subjects written up on time.


Nathan

  • UTRA application?
  • Independent research
    1. API for experimental platform to interact with Mechanical Turk
    2. Using games from experimental economics (Prisoner's Dilemma, Trust Game, Ultimatum Game), attempt to replicate some of their findings
    3. Test the effect of the incentive level on people's behavior
    4. Test the effects various manifestations of online identity have on behavior
      • Attempt to replicate findings with faces increasing other-regarding behavior
      • Repeat experiment with avatars
      • Also names and nicknames
    5. Test effects of different interface elements
      • Colors, borders, overall "prettiness", ...
    6. Test effects of priming


Radu

  • Finish dissertation (send to committee by end of Jan)
  • Set defense date by end of Jan
  • Defend
  • Find job
  • Vis paper with Steve, Caroline, Hua
  • Follow up mechturk study on nudges (April)
  • Assist Wenjin and Ryan on brain vis
  • Ensure PhD code is reusable


Wenjin

  • Axon Application on real data
    • data from Ed
    • find alternatives!
  • Finish thesis and defend by May
  • Get a job
    • prepare job talks and interviews
    • postdoc and fellowship applications
  • Address NeuroImage reviews
    • resubmit with new real data results
    • or, submit somewhere else with simulation only
  • Brain cortical connectivity VIS with Ryan, Radu and Win
    • aim for VIS/MICCAI?



Steve

  • Finish camready materials for CHI (due Jan 13)
  • Prepare CHI talk for the conference in May, test-run at scivis lunch
  • Prepare VisWeek paper
    • slideshow analysis and live study by end of Feb; draft paper by March 5
    • touch base with Jian in early January
  • Revisit diagram work ("querying/visualizing by sketching network")
    • UIST is in Cambridge, MA this fall... submit some work?
    • Vis Viewpoint? Magic-Button Evaluation
  • Grad requirements
    • shop/do course for outside minor; "Visualizing Vision" in CLPS
    • find out about alternative depth req
  • Proposal draft by April 17
    • feedback from dhl incorporated by end of semester
    • establish committee and circulate draft by summer


Ryan

  • Finish comps project
    • evaluate track shape metrics
    • implement and evaluate cortical shape metrics
    • write up and given presentation
  • Submit papers
    • Edinburgh normal brain networks paper to NI
    • MAP-MRF multitensor paper w/ CD to MICCAI
    • Bayesian T1/T2 estimation paper to MICCAI?
    • Brain network circle vis paper?
  • Finish coursework


Hua

  • Required coursework: complete two CS courses
    • CS1950F Intro to Machine Learning
    • CS1550/CS2951A/CS1320
  • Progress on the research comp
    • Propose the research comp project
    • Implement a prototype of the brain circuit visual analysis tool
    • Implement a prototype of the embedded task model
  • Submit a poster on EEG Tool Task Analysis to Vis
  • Contribute to the visual thinking project
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