A Survey of GPU-Based Large-Scale Volume Visualization, at EuroVis 2014 - STAR, Thursday, June 12, 2014:

This survey gives an overview of the current state of the art in GPU techniques for interactive large-scale volume visualization. Modern techniques in this field have brought about a sea change in how interactive visualization and analysis of giga-, tera-, and petabytes of volume data can be enabled on GPUs.

Evaluation of Filesystem Provenance Visualization Tools, at IEEE InfoVis (Atlanta, GA), Wednesday, October 16, 2013:

Having effective visualizations of filesystem provenance data is valuable for understanding its complex hierarchical structure. The most common visual representation of provenance data is the node-link diagram. While effective for understanding local activity, the node-link diagram fails to offer a high-level summary of activity and inter-relationships within the data. We present a new tool, InProv, which displays filesystem provenance with an interactive radial-based tree layout.

What Makes a Visualization Memorable?, at IEEE InfoVis (Atlanta, GA), Tuesday, October 15, 2013:

An ongoing debate in the Visualization community concerns the role that visualization types play in data understanding. In human cognition, understanding and memorability are intertwined. As a first step towards being able to ask questions about impact and effectiveness, here we ask: “What makes a visualization memorable?” We ran the largest scale visualization study to date using 2,070 single-panel visualizations, categorized with visualization type (e.g., bar chart, line graph, etc.), collected from news media sites, government reports, scientific journals, and infographic sources.

Mojo 2.0: Connectome Annotation Tool, at INCF Neuroinformatics Congress (Stockholm, Sweden), Tuesday, August 27, 2013:

Seymour Knowles-Barley, Mike Roberts, Narayanan Kasthuri, Dongil Lee, Hanspeter Pfister and Jeff W. Lichtman

A connectome is the wiring diagram of connections in a nervous system. Mapping this network of connections is necessary for discovering the underlying architecture of the brain and investigating the physical underpinning of cognition, intelligence, and consciousness [1, 2, 3]. It is also an important step in understanding how connectivity patterns are altered by mental illnesses, learning disorders, and age related changes in the brain.

Brain: Analysis Synthesis Computation, at DARPA ISAT Workshop, Washington D.C., Monday, August 12, 2013:

Public outbrief slides from a two-day DARPA ISAT workshop on Brain Analysis, Synthesis, and Computation (BASC) organized by Hanspeter Pfister and Georg Seelig in August, 2013. The workshop focused on the state of the art in the areas of brain analysis (structural and functional), brain synthesis, and how they affect the future of computation. The workshop was well attended by over 60 experts in the areas of neuroscience, computer science, engineering, biology, and industry representatives.

Visual Computing in Biology, at Novartis, Cambridge, Wednesday, January 11, 2012:

Many areas in science are experiencing a flood of data arising in part from the development of instruments that acquire information on an unprecedented scale. This is particularly true in biology, where huge amounts of heterogeneous data are acquired from microarrays, scanners, microscopes, and various other instruments. Visual computing tools are essential to gain insights into this data by combining computational analysis with the power of the human perceptual and cognitive system and enabling data exploration through interactive visualizations.

Evaluation of Artery Visualizations for Heart Disease Diagnosis, at IEEE InfoVis (Providence, RI), Thursday, October 27, 2011:

Heart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endothelial shear stress (ESS). Low ESS has been associated with sites of lesion formation and rapid progression of disease in the coronary arteries.

Visual Computing in Connectomics, at School of Engineering and Applied Sciences, Monday, September 12, 2011:

Our modern ability to acquire and generate huge amounts of data can potentially enable rapid progress in science and engineering, but we may not live up that promise if our ability to create data outstrips our ability to make sense of that data. Visual computing tools are essential to gain insights into data by combining computational and statistical analysis with the power of the human perceptual and cognitive system and enabling data exploration through interactive visualizations.