Face of Krishna Prasath Subramanian

Krishna Prasath Subramanian

Research Assistant

Room 2210
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Vanakkam! (That’s 'hello' in Tamil, my native tongue.)

I am Krishna, a third-year Research Assistant at the Media Computing Group, Aachen.

I’m driven by the need to help the society, in the current information age, realize the potential of data through data analysis. I design, build, and investigate interaction techniques that make data analysis easier to perform, learn, and present. I envision my research to remove some fog in the metaphorical-data-analysis glasses, resulting in clearer and more accurate insights.

If you are interested in doing a B.Sc. or M.Sc. thesis with me, This email address is being protected from spambots. You need JavaScript enabled to view it. with your résumé, grade sheet(s), and idea(s) that interest you.I usually have some open thesis topics, but I’m also interested in building a thesis around any initial ideas you might have.

Projects

StatLets
StatLets is a web-based prototype that uses a flow-based programming canvas, where users can place (and organize) different statistical analysis widgets. The user can view and edit the underlying R code of the widget using the editor interface, which is integrated into StatLets. (read more)
 

StatPlayground

StatPlayground is a web-based prototype, that allows users to directly manipulate characteristics of data (e.g., mean, variance, outliers) through visualizations (e.g., box plot) and view the resulting effect on the inferential statistics (e.g., p-value, effect size) and vice versa.  (read more)

Interactivity: Demo at CHI 2017.

 

  Personal Photonics

Personal Photonics aims to create new interaction techniques and user interfaces for photonics components, systems, and tools, to make them easier to use for makers, designers, artists, and other non-engineers, putting the photonics industry on center stage of the Open Innovation movement. (read more)

Role: Investigating low-cost versions of 3-D trackers

 

Statsplorer

Statsplorer is a software tool that allows users to do statistical analysis by interacting with visualizations. It guides the user to select appropriate statistical analysis tasks based on her research questions. It also prevents common statistical analysis mistakes and promotes understanding by collocating appropriate visualizations with statistical analysis results. (read more)

Full paper at CHI 2015 and a Student Research Competition entry at CHI 2014.

Thesis Students

StudentTime PeriodB.Sc./M.Sc.Topic
Lukas Koschmieder Dec., 2015 – Jul., 2016 B.Sc.* Utilizing Microsoft Word as a PRiME Documentation
Processor – Detection and Visualization of PRiME
Guideline Violations in Microsoft Word
Devashish Jasani Jul., 2016 – Feb., 2017 M.Sc.
(in collaboration with SAP Labs)
Transformative User Experience for Bayesian Inference
Michael Ellers Jul., 2016 – Mar., 2017 B.Sc. StatLets: Improving Statistical Analysis with R
Sahar Delavar Dec., 2016 – M.Sc.
(in collaboration with Ford GmbH)
An Android Interface for Providing Test Drive Feedback in Cars
Jeanine Bonot Jan., 2017 – M.Sc. StatPlayground: Visualizing Parallel Dataset Universes
Johannes Maas Mar., 2017 – Aug., 2017 B.Sc. StatWire: Visual Flow-Based Programming for Statistical Analysis
Mariia Mentiu Jun., 2017 – B.Sc.*. Evaluating Learning Analytics Prototypes for E-learning

*: As the second supervisor

Teaching

 

When?What?
WS 2017/18 Designing Interactive Systems I
Lecture TA and Lab Tutor; with Paulina Reijsmeijer
SS 2017 Media Computing Project Lab (in Bonn)
Lab Tutor
WS 2016/17 Designing Interactive Systems I
Lecture TA and Lab Tutor
SS 2016 Media Computing Project Lab (in Bonn)
Lab Tutor
WS 2015/16 Designing Interactive Systems I
Lecture TA and Lab Tutor; with Philipp Wacker
SS 2015 Media Computing Project Lab (in Bonn)
Lab Tutor
WS 2014/15 Designing Interactive Systems I
Lecture TA and Lab Tutor; with Christian Corsten

 

Publications


    2019

  • Krishna Subramanian, Ilya Zubarev, Simon Voelker and Jan Borchers. Supporting Data Workers to Perform Exploratory Programming.  In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA '19, pages 6, ACM, New York, NY, USA, May 2019.
    HomepagePDF DocumentBibTeX Entry
  • 2018

  • Krishna Subramanian, Johannes Maas, Michael Ellers, Chat Wacharamanotham, Simon Voelker and Jan Borchers. StatWire: Visual Flow-based Statistical Programming.  In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI EA '18, pages LBW104:1–LBW104:6, ACM, New York, NY, USA, April 2018.
    HomepagePDF DocumentBibTeX Entry
  • 2017

  • Krishna Subramanian and Jan Borchers. StatPlayground: Exploring Statistics through Visualizations.  In CHI '17: Extended Abstracts of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pages 401–404, ACM, New York, NY, USA, May 2017.
    HomepagePDF DocumentBibTeX Entry
  • 2015

  • Chat Wacharamanotham, Krishna Subramanian, Sarah Theres Völkel and Jan Borchers. Statsplorer: Guiding Novices in Statistical Analysis.  In CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 2693–2702,New York, NY, USA, April 2015.
    HomepagePDF DocumentBibTeX Entry
  • 2014

  • Krishna Subramanian. VisiStat: visualization-driven, interactive statistical analysis.  In CHI ’14: Extended Abstracts on Human Factors in Computing Systems, pages 987—992,April 2014.
    PDF DocumentBibTeX Entry
  • Krishna Subramanian. VisiStat: Visualization-driven, Interactive Statistical Analysis. Masters's Thesis, RWTH Aachen University, Aachen, March 2014.
    PDF DocumentBibTeX Entry


 

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