Plans and Goals: Difference between revisions

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*** (By Sep. 18) Context-based retrieval: given a block of texts, use techniques such as latent semantic analysis or topic modeling to extract relevant key terms
*** (By Sep. 18) Context-based retrieval: given a block of texts, use techniques such as latent semantic analysis or topic modeling to extract relevant key terms
*** <s>(By Sep. 25) Three way linking between primary texts (e.g. a word document, a piece of plain text, a bibtex file), concepts and evidence</s>
*** <s>(By Sep. 25) Three way linking between primary texts (e.g. a word document, a piece of plain text, a bibtex file), concepts and evidence</s>
*** (By Oct. 9) Support search within a small set of publications provided by the user (e.g. a bibtex file)
*** <s>(By Oct. 9) Support search within a small set of publications provided by the user (e.g. a bibtex file)</s>
*** (By Oct.12) Have executable sketches of ThoughtFlow's interface design
*** (By Oct. 23) Meet with Badre for feedback
*** (By Oct. 23) Meet with Badre for feedback
*** (By Oct. 30) Case papers: lets the user specify case papers in addition to supplying texts or terms; the tool will then use the case papers as constraints and return a set of papers where the set 1) is a subset of all papers associated with the given texts or terms; 2) contains the case papers; 3) is as small as possible.
*** (By Oct. 30) Case papers: lets the user specify case papers in addition to supplying texts or terms; the tool will then use the case papers as constraints and return a set of papers where the set 1) is a subset of all papers associated with the given texts or terms; 2) contains the case papers; 3) is as small as possible.
Line 57: Line 58:
* '''Event sequence visualization paper'''
* '''Event sequence visualization paper'''
**<s>By Sep. 11: first draft of the blog post sent</s>
**<s>By Sep. 11: first draft of the blog post sent</s>
** By Sep. 23: second revision of the blog post ready
**<s> By Sep. 23: second revision of the blog post ready</s>
* '''BraiNet user study'''
* '''BraiNet user study'''
** By Dec 4: run a pilot study with two participants
** By Dec 4: run a pilot study with two participants

Revision as of 19:31, 30 September 2015

On this page the members of the VRL record and refine their goals for the current semester. This is a living document in which dhl will provide feedback. See the bottom of the page for links to past plans & goals documents.

Current Schedule

Meetings are on Mondays. The authoritative list is in dhl's calendar.

Current Plans and Goals (Fall '15)

Connor

Boldfaced goals are those that mark the high-level success of each project.

Dissertation
  • By 2 October: send dhl updated proposal draft
  • By 1 November: schedule proposal date
Fellowships
  • Submit applications for Adobe, Facebook, and any other eligible fellowships
  • By 2 October: get c.v. and resumé critiqued by career services
  • update website
  • convert c.v. to XeTeX
Genomics
  • Weekly: check up on MAGI interaction log scraping
  • By 10 October: complete last additions
  • By 23 October: (re)submit latest draft to TVCG
  • By 31 October: meet with Ben to scope annotation-network traversal project
  • By 13 November: build rapid prototype annotation-network traversal visualization
  • By 27 November: complete one new BLADE analysis feature
  • By 17 December: complete stable annotation-network traversal visualization prototype
Color
  • By 1 November: (re)submit paper to TOG (or delay to SIGGRAPH?)
  • By 31 November: complete prototype of D3 decomposition-by-category Colorgorical feature
  • By 17 December: use JND measure dependent on mark size in Colorgorical
  • Help Karen prep heatmap color paper for submission
Other
  • Complete Sheridan Certificate I program
  • Give a great color lecture for Remco's infovis class

Hua

  • Cog grant proposal
    • By Sep. 11: take one pass through the proposal to resolve any inconsistency in contents
  • BraiNet implementation
    • By Oct. 30: implement basic corpus analysis functionalities
      • (By Sep. 18) Context-based retrieval: given a block of texts, use techniques such as latent semantic analysis or topic modeling to extract relevant key terms
      • (By Sep. 25) Three way linking between primary texts (e.g. a word document, a piece of plain text, a bibtex file), concepts and evidence
      • (By Oct. 9) Support search within a small set of publications provided by the user (e.g. a bibtex file)
      • (By Oct.12) Have executable sketches of ThoughtFlow's interface design
      • (By Oct. 23) Meet with Badre for feedback
      • (By Oct. 30) Case papers: lets the user specify case papers in addition to supplying texts or terms; the tool will then use the case papers as constraints and return a set of papers where the set 1) is a subset of all papers associated with the given texts or terms; 2) contains the case papers; 3) is as small as possible.
    • By Nov. 27: implement literature corpus visualizations
      • (By Nov. 13) theme river visualization that shows how a set of concepts contained in a body of texts (e.g. a grant proposal; a notebook kept by the researcher) evolves over time - what concepts have been added / removed? how much evidence has been added for each concept?
      • (By Nov. 27) refined user interface for exploring the set of concepts and evidence (network visualization?)
  • Two VIS talks
    • By Oct. 2: give practice talks to the speech and writing coach
    • By Oct. 9: give practice talks to scivis / dhlgroup
    • By Oct. 30: deliver the talks at VIS!
  • Event sequence visualization paper
    • By Sep. 11: first draft of the blog post sent
    • By Sep. 23: second revision of the blog post ready
  • BraiNet user study
    • By Dec 4: run a pilot study with two participants
    • By Dec 11: study design refined based on pilot study

Steve

  • Dissertation
    • By June 30: committee settled ✓
    • By June 30: dissertation draft completed and circulated ✓
      • Address feedback for dissertation as it comes in
    • By June 30: get scheduling feedback for committee for mid-August defense ✓
    • By early July: resolve defense scheduling ✓
    • By mid July: submit defense, date, meta-data, and thesis draft to Lauren ✓
    • By mid August: defend thesis, get notes for dissertation revisions from committee
    • By mid September: do any necessary dissertation revisions, get signatures from committee, and submit
  • TVCG/VAST paper
    • By June 20: Use R to get CI intervals for correlations ✓
    • By June 26: Help Hua with response, submission for conditional acceptance ✓
  • NSF Proposal on Cognitive/Task Modeling
    • Meet weekly to stay on track for September deadline
    • By June 25:
      • Gather notes from all past proposals ✓
      • Write up independent thoughts about new proposal, then compare with David's Expedition notes
    • By mid July: rough draft of new proposal based on notes, discussions
    • By August: help prepare solid final draft
    • Submit in FastLane
      • By September 16 for MEDIUM
      • By September 24 for LARGE
      • By November 18 for SMALL
  • Other
    • Review workshops for VIS as possible project venues
    • Find housing in Boston ✓

Ryan

  • RP Imaging Studies
    • Send update for request for additional bundles in SMART data
    • Iron out details for South Africa analysis (group meeting on 6/10)
      • Update: fiber bundle length (need a couple more bundles)
      • Update: graph-based analysis w/ Laurie
    • Keep up with paper reviewing and other requests
  • Diffusion outside brain
    • Update: support image analysis w/ Trey Crisco & Ed Walsh
  • Yurt
    • Demo as needed
    • Provide support for CS137-related things
    • Help Johannes with getting up to speed for TAing
    • Update: Get some brain data in
  • Thesis work
    • Complete a rough draft of dissertation
    • Work with Dan to get bipolar imaging paper out
    • Update: Put together documentation of various analyses and tools

David

  • yurt
    • working well enough for cs137
    • working well enough for VT experiment
    • press
    • paper out about R&D, model on Cruz
    • hw and low-level software testing/reliability plan
    • application software development easier (asf?)
  • VT
    • first experiment complete, written, and out!
  • orthopedics
    • tools continuing to run well (despite upgrade)
    • renewal with Trey
    • diffusion imaging
  • longer-term funding progress
    • cognition
    • VR
    • brains
    • trey
    • STC?
  • good CS137
  • keep all advisees moving along appropriately

Wesley

  • CAVE/YURT
    • Complete or nearly complete user study with Johannes
    • Help out with Demos when needed
    • Add new applications for use in YURT
  • Fitts' Law
    • Work on paper with HCI seminar group
  • Third Person Perspective
    • Make plans for future of 3PP project or something derivative
  • Hospital
    • Discuss potential projects with Derek

Johannes

  • Cave/Yurt
    • Complete user study with Wesley
    • Design next experiment for VT project
    • Work on VR volume visualization (3D Visualizer/CaveVOX/...)
    • Get more concrete collaboration with students of Robbert Creton or Kristi Wharton
    • Help out with Demos when needed
    • Explore use of VTK in VRG3D
  • CS137
    • Set up clean development branch for CavePainting
    • Get acquainted with the sourcecode
    • Fix some bugs if possible
  • Fitts' Law
    • Work on paper with HCI seminar group
  • Thesis Project
    • Restart discussions with Derek and Kristi
    • Explore collaborations for genome folding visualizations
    • by December: Create Thesis proposal draft

Tom

Josh

  • General
    • Become acquainted with the department and Providence in general.
    • Develop a vision for research and start finding projects to work on.
    • Improve artistic skill in order to be able to communicate ideas more effectively.
  • Yurt/Cave
    • Start to learn how to work in the Yurt effectively (likely through taking CS 137)
    • Find a project to work on in the Yurt.

Wallace

  • Finish experiment and write IEEEVR paper
  • Finish VR volume renderer
    • last changes: added another kernel for gpu pre processing, copying one PBO to another in the GPU. Simple kernel (just remove part of the dataset)
    • Issues: Interaction pass takes a long time on CPU
    • Options: add spatial structure, perform interaction on GPU
    • Other improvements: 1) reduce original RGBA 3d texture to mono -> improve memory usage 2) remove 3d texture altogether and implement filtering in the shader -> possible faster copy in one pass, 3) change to splatting 4) refactor code
  • Reimplement Volume Cracker like interaction
    • Implement on VR
    • Develop hardware
  • Finish new interaction technique
    • Finish design
    • Implement software
    • Implement technique on VR



Past Plans and Goals

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