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Workshop for Large-Scale Scientific Imaging

June 16 @ 10:00 am - June 17 @ 5:00 pm


JOIN US for an inaugural workshop on “Large-Scale Scientific Imaging” to launch the Scientific Software Engineering Center (SSEC) at JHU, operating as part of the broad AI-X effort and funded by Schmidt Futures.

The area of large-scale scientific imaging forms one of the pillars of the emerging AI revolution in science, as the explosion of scientific data is mostly due to the advancement of imaging technologies. This topic is the common thread across almost all scientific disciplines, cancer research, medicine, including radiology, brain research, astronomy, climate observations, materials science, cell biology. And large scale numerical simulations create ultra-high-resolution images of observable phenomena from turbulence to climate models and ocean circulation patterns.

Most of these data sets are well past the Terabyte scale. Even mid-scale instruments can generate several petabytes per year. Currently the handling of these data sets is balkanized, mostly done in a one-off fashion by the experiments. In this workshop we will  bring together different communities to address these outstanding problems, discuss commonalities, identify differences, and see how one can use better economies of scale in creating and managing such large image archives. Furthermore, we will discuss ways to interface these image archives to existing AI environments and shorten the path to create novel AI applications for training and inference.

FORMAT: The first day will be dedicated to ~15-minute presentations by invited scientists from JHU and beyond. The second day will be devoted to discussion sessions where we will be looking for synergies, common patterns between these different fields.

LOCATION: The workshop will be held at the Bloomberg building on the Homewood campus on June 16-17 and will be in person.

FOR QUESTIONS Or to inform organizers of dietary restrictions or considerations, please email ssec@jhu.edu.


June 16 @ 10:00 am
June 17 @ 5:00 pm
Event Category:


Scientific Software Engineering Center (JHU)
Institute for Data Intensive Engineering and Science (JHU)


Bloomberg Center for Physics and Astronomy, Room 272
3701 San Martin Dr.
Baltimore, MD 21210 United States
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