Mike Sips

Postal Address

Stanford University
Gates Computer Science 3B-362
353 Serra Mall
Stanford, CA 94305


(650) 723-7186


Current Affiliations

Stanford University
Visiting Assistent Professor at Graphics Lab

Stanford Regional Visualization and Analytics Center
Research Scientist at Graphics Lab

Max-Planck Center for Visual Computing

Head of the Visualization and Analytics Research Group at Max-Planck Center

Professional Experience

University of Konstanz
Research and Teaching Assistent
at Databases, Data Mining and Visualization Lab

AT&T Labs Research
Internship at Information Visualization Research

Research Interests

Selected Papers

An Automated Approach for the Optimization of Pixel-based Visualizations
Jörn Schneidewind, Mike Sips, Daniel A. Keim
Palgrave Macmillan Information Visualization, Vol. 6, No. 1, pp. 75-88

Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making
Mike Sips, Jörn Schneidewind, Daniel A. Keim
International Journal of Geographical Information Science (IJGIS), Vol. 21, No. 8, pp. 879-894, Taylor & Francis

Scalable Pixel-based Visual Data Exploration
Daniel A. Keim, Jörn Schneidewind, Mike Sips
Book Chapter in Pixelization Paradigm, Lecture Notes in Computer Science, Vol. 4370, Springer

Visual Feature Selection in Biological Time-Series for Mass Spectrometry based Biomarker Discovery
Christian Fuchsberger, Sye-Min Christina Chan, Stefano Ongarello, Mike Sips, Isabel Feuerstein, Alexandre Pelzer, Günther Bonn, Georg Bartsch, Helmut Klocker
Workshop on Intelligent Data Analysis in BioMedicine and Pharmacology (IDAMAP 2007)

Scalable Pixel-based Visual Data Exploration
Mike Sips, Jörn Schneidewind, Daniel A. Keim
IEEE EMBS Visual Information Expert Workshop (VIEW 06), Paris
Task-At-Hand Interface for Change Detection in Stock Market Data
Carmen Sanz Merino, Mike Sips, Christian Panse, Robert Spence, Daniel A. Keim
ACM Advanced Visual Interfaces International Working Conference AVI 2006, Venice


Scalable Pixel-based Visual Interfaces: Challenges and Solutions
Mike Sips, Jörn Schneidewind, Daniel A. Keim, Heidrun Schumann
Information Visualization (IV) 2006, London
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement
Christian Panse, Mike Sips, Daniel A. Keim, Stephen C. North
IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2006), 12( 5)
Pixnostics: Towards Measuring the Value of Visualization
Joern Schneidewind, Mike Sips, Daniel A.  Keim
IEEE Symposium on Visual Analytics and Technology (VAST) 2006, Baltimore
Highlighting Space-Time Pattern: Effective Visual Encodings for Interactive Decision Making
Mike Sips, Joern Schneidewind, Daniel A. Keim
Workshop on Visualization, Analytics & Spatial Decision Support at the GIScience conference, 2006, Muenster


Pixel-based Visual Data Mining in Large Geo-Spatial Point Sets
PhD Thesis, Series in Computer Science, Vol. 8
Hartung-Gorre Verlag Konstanz, 2005


EADS Dornier Research Award 2006
InfoVis Contest Overall Winner
IEEE Symposium on Information Visualization (InfoVis) 2006, Baltimore
(together with Sebastian Kay Belle, Daniela Oelke, Sonja Oettl)