Calendar

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Nov
19
Tue
JHUISI’s Rubin Speaks to Congressional Subcommittee about healthcare.gov Security
Nov 19 @ 10:00 am

Avi Rubin, Professor of Computer Science and Technical Director of JHUISI, will participate in a hearing on the security of healthcare.gov before the U.S. Congress House Subcommittee on Science, Space, and Technology at 10 a.m. on Tuesday, Nov. 19. The session will be broadcast on  C-SPAN and JHUISI is inviting everyone interested to watch the session in Croft Hall 227.

Avi Rubin of JHUISI

Avi Rubin, technical director of JHUISI

Official hearing information is available at http://science.house.gov/hearing/full-committee-hearing-my-data-healthcaregov-secure

Apr
8
Wed
E2SHI’s Annual Symposium: Innovations in Managing Climate Risk
Apr 8 @ 12:00 pm – 1:30 pm

The Johns Hopkins Environment, Energy, Sustainability & Health Institute (E²SHI) invites you to an interactive session led by Pablo Suarez from the Red Cross/Red Crescent Climate Centre on climate change and disaster response, and to explore how to bridge science, policy and practice. The title of the presentation is “Innovations in Managing Climate Risk: Reimagining humanitarian and development work.”

Pablo SuarezA light lunch will be served starting at 11:45 am, and Michael Klag, Dean of the Bloomberg School of Public Health, will give opening remarks.

The symposium is free and open to all Johns Hopkins faculty, staff and students, as well as community members.

RSVP by April 5 to attend.

Details here.

Mar
2
Wed
René Vidal IPL Lecture “Teaching Machines to See”
Mar 2 @ 4:00 pm – 6:00 pm
René Vidal, a professor of biomedical engineering, will deliver an IPL lecture on March 2, 2016.

René Vidal, a professor of biomedical engineering, will deliver an IPL lecture on March 2, 2016.

Teaching Machines to See: With apparently no effort, humans can distinguish a wide variety of objects and actions in complex scenes. In contrast, automatic scene interpretation is exceedingly difficult. Professor René Vidal will describe his work developing mathematical methods that enable computers to see, analyze, and interpret images, videos, and biomedical data.

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