Benjamin Bach

Benjamin is a Lecturer (Assistant Prof.) in Design Informatics and Visualization at the University of Edinburgh. His research designs and investigates interactive information visualization interfaces to help people explore, communicate, and understand data across media such as screens, mixed reality, paper, and physicalizations.

Contact

Research interests:

  • Network Visualization
  • Visualization of spatio-temporal data
  • Data-driven storytelling
  • Visualization in Augmented and Virtual Reality (Immersive Analytics)
  • Non-digital visualization
  • Teaching and learning visualization

Before joining the University of Edinburgh in 2017, Benjamin worked as a postdoc at Harvard University (Visual Computing Group), Monash University, as well as the Microsoft-Research Inria Joint Centre. Benjamin was visiting researcher at the University of Washington and Microsoft Research in 2015. He obtained his PhD in 2014 from the Université Paris Sud where he worked at the Aviz Group at Inria. The PhD thesis entitled Connections, Changes, and Cubes: Unfolding Dynamic Networks for Visual Exploration got awarded an honorable mention as the Best Thesis by the IEEE Visualization Committee. In 2019, Benjamin got awarded the Eurographics Young Researcher Award (thanks to all my mentors and collaborators, this is your award!).

Latest below. The full list here and on Google Scholar.

Pattern-Driven Navigation in 2D Multiscale Visual Spaces with Scalable Insets, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020

Comparing Effectiveness and Engagement of Data Comics and InfographicsACM Conference on Human Factors in Computing Systems (CHI) (2019).

DataToon: Drawing Data Comics About DynamicNetworks with Pen + Touch Interaction, ACM Conference on Human Factors in Computing Systems (CHI) (2019).

Working with me

  • PhD: Please contact me directly (e.g., at VIS in Vancouver at the moment). (Competitive) Funding is available.
  • MSc dissertations: Check how to plan your project and contact me directly. Ideally, we combine your DI project and MSc to run roughly on the same topic.
  • Internships are possible all year around. The University asks for a fee for more than 12. Funding might be available for selected projects
  • Random visualization design jobs might be available.

Awards

  • 2019 Eurographics Young Researcher Award.
  • 2018 BioVis Best Poster Award: Feature Centric Visual Exploration of Genomic Interaction Matrices
  • 2014 VGTC Best Ph.D. Thesis 2014, Honorable Mention
  • 2013 IEEE VIS Best Poster Award: Visualizing Dense Dynamic Networks with Matrix Cubes
  • 2013 ACH CHI Best Paper Award: Weighted graph comparison techniques for brain connectivity analysis

Online


Professional Activities

  • ACM ISS Workshop Chair (2020)
  • ACM CHI Paper Associate Chair (2018, 2019)
  • ACM CHI Late Braking Work Associate Chair (2017)
  • ACM CHI Work-in-Progress Program Committee (2015)
  • IEEE InfoVis Program Committee (2018)
  • IEEE VAST Program Committee (2018)
  • GraphDrawing Program Committee
  • TransImage Conference: Conference Co-chair 2018


Reviewing (latest)

  • ACM CHI: since 2013
  • IEEE InfoVis/Vast: since 2012
  • TVCG: since 2011
  • EuroVis: since 2012
  • Graph Drawing

Recent Invited Talks

(not including conference paper presentations)

  • June 2019: Visualizing Peace and Conflicts, Edinburgh Futures Seminar, University of Edinburgh
  • May 2019: Data visualization for exploration, explanation and beyond, Kings College, London.
  • December 2018: Visualizing Space-Time Cubes in AR, Shonan Seminar to Immersive Analytics, Tokio.
  • October 2018: Interactive Visualization for Dynamic, Multivariate, and Geographic Networks, Tuto@Mate (online webinar)
  • September 2018: Data Comics for Data-Driven Storytelling, University of Tilburg, Netherlands
  • September 2018: Perspectives on Data Visualization, Design Informatics Seminar Series, University of Edinburgh.
  • May 2018: Interaction Literacy for Data Visualization, Workshop on Big Data Analytics and Business Applications, AVI Conference, Casteglione della Pescaia, Italy
  • May 2018: Data Visualization for Exploration, Explanation, and Engagement, Tesco Bank, Edinburgh
  • May 2918: Drawing into the AR-Canvas: Designing Embedded Visualizations for Augmented Reliaty., OpenVis Conference, Paris
  • March 2018: Visualization for Interactive Data Exploration, Alan Turing Institute, London
  • February 2018: Seven Myths about Data Visualization, Controversies in the Data Society Talk Series, Edinburgh

Scientific / Conference Workshops

Teaching

Ongoing

  • Data Science for Design, semester 1 (master level)
  • Data Visualization, semester 2 (master level)

Past

  • The Human Factor

Grants and Awards

  • 2018 EPSRC Capital Grant: VisHub: A Collaborative Data Visualization Space for Interdisciplinary Research, Teaching, and Public Engagement, £200,000 over 18 months
  • 2018 Edinburgh Futures Institute Research Grant: Visualizing Inequalities £5,000 + £3,000
  • 2017 IGS (School internal) PhD scholarship funding: ~£60,000 over 3 years
  • 2017 Principal’s Teaching Award: £15,000
  • 2014 Microsoft Research – Inria Joint Centre 18 month position
  • 2010-2014 French Government Ph.D. grant: $100.000, over 3 years