To enter the ACM Student Research Competition, please Submit a Poster by 25 April and check “yes” in the “Would you like to submit to the ACM Student Research Competition” box on the submission form. To be eligible for the ACM Student Research Competition:
- The submitted work must be largely the work of the submitter.
- The submitter must be enrolled in a university of college at the time of content entry.
- The submitter must have an active ACM student membership.
Posters selected to compete in the SRC are judged in two stages. In the first stage, a panel of distinguished judges views the SRC posters during the poster sessions and selects 6-8 of the semi-finalists – one group of undergraduate submissions, and one group of graduate submissions. These finalists present their work to SIGGRAPH 2019 attendees during the ACM SRC Final Presentation. At the end of the presentations, the judges announce the first-, second, and third-place winners in the undergraduate and graduate categories. First-place undergraduate and graduate winners go on to the Student Research Competition Grand Finals.
Semi-finalists receive up to $500 in travel reimbursement from ACM. The first-place winner also receives a $500 cash prize, the second-place winner $300, and the third-place winner $200.
From left to right:
Sai Ganesh, Jasmine Y. Shih, Yi-Ching Kang, Laura Mann, Madison Kramer, Pratik Kalshetti
1st Place: Interactive Cinematic Scientific Visualization in Unity3D
Jasmine Y. Shih – NCSA Advanced Visualization Lab, University of Illinois at Urbana-Champaign
2nd Place: Printing for Mixed Reality Hands-On Museum Exhibit Interaction
Laura Mann – NCCA, Bournemouth University
3rd Place: Scented Graphics: Exploration in Ink-jet Scented-Printing
Yi-Ching Kang – Chang Gung University
1st Place: Delaunay Lofts: A New Class of Space-Filling Shapes
Sai Ganesh – Subramanian – Texas A&M University
2nd Place: A Procedural Approach to Creating American Second Empire Houses
Madison Kramer – Texas A&M University
3rd Place: Unsupervised Incremental Learning for Hand Shape and Pose Estimation
Pratik Kalshetti – Indian Institute of Technology Bombay