Face of Krishna Subramanian

Krishna Subramanian

Research Assistant

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

I am Krishna, a research assistant/PhD candidate at the Media Computing Group, Aachen.

I am driven to help improve data scientists' workflow. I study how data workers deal with various phases of data science: learning, performing, debugging, and reporting. Based on my findings, I design, build, and investigate interaction techniques that can alleviate data workers' problems. 

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 one or more 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

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)
Realizing Elastic Design Principles for User Exploration in Bayesian Analysis
Michael Ellers Jul. 2016–Mar. 2017 B.Sc. StatLets: Improving Statistical Analysis with R
Jeanine Bonot Jan. 2017–Feb. 2019 M.Sc. StatPlayground: Fine-level Control of InfoViz with Foreshadowing via Direct Manipulation
Johannes Maas Mar. 2017–Aug. 2017 B.Sc. StatWire: Visual Flow-Based Programming for Statistical Analysis
Mariia Mentiu Jun. 2017–Sep. 2017 B.Sc.*. Evaluating Learning Analytics Prototypes for E-learning
Sahar Delavar Jul., 2017–Mar. 2018 M.Sc. In Situ Evaluation of Climate Control in Cards via a Mobile App
Yuliya Sergiyenko Jan., 2018–Oct. 2018 M.Sc. Investigating Statistical Analysis Workflows in HCI
Martin Huppertz Apr. 2018– B.Sc. Virtual Guides for 3D Modeling in AR. 
Asif Mayilli May 2018– M.Sc. Understanding How Tangibles Are Used for Data Sharing.
Radu-Andrei Coanda Jul. 2018–Feb. 2019 B.Sc. Cheno: Computing Datasets from Inference Statistics
Ilya Zubarev Aug. 2018–Mar. 2019 M.Sc. Visual and Functional Aids to Support the Statistical Analysis Workflow
Anam Sohail Jan. 2019– M.Sc. Challenges in Recruiting Participants for Studies in HCI
Yue Hu Feb. 2019–Aug. 2019 M.Sc. Statistics in the Wild: How Practitioners Choose Statistical Procedures 
Malte Meng Oct. 2019– B.Sc. Generating Obfuscated Data to Facilitate Statistical Inquiries

 

*: As the second supervisor

Teaching

 

When?What?
WS 2019/20 Designing Interactive Systems I
Lecture TA and Lab Tutor; with Oliver Nowak
SS 2019 Media Computing Project Lab (in Bonn)
Lab Tutor
WS 2018/19 Designing Interactive Systems I
Lecture TA and Lab Tutor; with Adrian Wagner
SS 2018 Media Computing Project Lab (in Bonn)
Lab Tutor
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, Jeanine Bonot, Radu A. Coanda and Jan Borchers. StatPlayground: A Sandbox for Learning Practical Statistics.  In Human-Computer Interaction -- INTERACT 2019, pages 156–165, Springer International Publishing, Cham, September 2019.
    PDF DocumentBibTeX Entry
  • 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.
    HomepageMoviePDF 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.
    HomepageMoviePDF 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.
    HomepageMoviePDF 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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