We will have a poster session Thursday, May 17 from 1-2:30 in the lounge on the room G882 of the Gates Tower of the Stata Center (just to the left of the elevators).
There will be pizza.
Please prepare a poster up to 36x42 inches, or 12-16 printed slides in 8.5x11 inch format that you can tape up. We will provide poster boards, easels, and mounting materials. If you are a member of CSAIL there is a large format poster printer on the 2nd floor; it is not necessary to use this, however.
You should prepare a 7 minute presentation about your project, leaving us 3 minutes for discussion and questions. Be prepared to show experimental results, demos, videos, etc.
When you are not presenting to the staff, you can eat pizza and talk to other groups about their projects. We will invite other students and faculty who will come to learn about your work as well.
Titles and Abstracts
We will be sending out a list of your projects in order to attract interested parties from the MIT community. Consequently, before 7pm on May 16, you need to post on Piazza a short, one-paragraph abstract (summary) outlining the problem you tackled and the results you will present, and an appropriate title for your abstract/demo. For instance:
Title: Ultra-local Allergen Crowdsourcing
Every year, millions of sufferers react to pollens, molds, and pollutants that vary dramatically from place-to-place and hour-to-hour due to individual plants, mold colonies, and weather conditions. Unfortunately, allergy testing is expensive, unpleasant, and error-prone, and public allergen data is inaccurate and coarse-grained. We developed a cheap, embedded sensor platform that collects photomicrographs from air samples onto a cloud server, where we train a computer vision algorithm to recognize pollen grains and mold spores. In addition, we developed an app that allows people to report allergic symptoms, tagged with location and time information. By combining these sources of data and leveraging the power of wishful thinking in the cloud, we have created a novel tool for the identification of specific allergies for potential immunotherapeutic treatment.