APPLICATION:
Each team should submit an application by the specified deadline (see Timeline tab) that must include:
1. One page abstract of innovation proposal
2. Letter from one or two faculty members recommending the innovation
- Why the proposal is innovative
- Why the proposal is important
- Why the current team is likely to succeed in their proposal
3. Each student's CV
- Document name must include student’s first name, last name, university, and resume. Example- John_Doe_University_Resume.pdf
4. Signed copy of QIF rules (both students)
SUBMISSIONS SHOULD BE IN A ZIP FILE
The submission portal will open two weeks before the deadline.
PROPOSAL PHASE:
Selected teams will be notified directly to participate in the next phase by submitting a final proposal that must include a Three-page innovation proposal (plus one for reference/bibliography) including:
a. Introduction and problem definition
b. Innovation proposal and relation to the state of the art
c. One-year horizon of the project, even if the proposal is a multi-year project
d. Strength of the team to achieve the proposal milestones
Please upload your proposal in zip format to the QIF submission portal for updates by the specified deadline. Use your access code received in the confirmation email when you submitted your abstract.
SELECTION OF FINALISTS AND WINNERS:
Finalist teams will be selected to participate in the final presentation phase of the Program. Each finalist team must prepare a presentation slide deck for the judges. Presentation must be in PowerPoint or PDF format. The presentation generally includes
- The idea
- The differentiating factors from state of the art
- The execution plan / strength of the team
Each Finalist team must also prepare a poster for a poster session to be presented to the judges.
Winning teams will be chosen from these finalists after they present to the judging panel.
ADDITIONAL INFO:
Applications must be submitted online by the specified deadline (see Timeline tab). All proposals and presentations will be reviewed internally by a team of Qualcomm researchers.
Qualcomm Research is a division of Qualcomm Technologies, Inc.
File Naming Requirements
- Abstract document
- University_InnovationTitleFirst3Words
- Innovation Title Example: Depp Reinforcement Learning for Adaptive Multi-Agent Systems
- File Name: Purdue_DeepReinforcementLearning.pdf
- Resume
- LastNameFirstName_Resume
- Example DoeJane_Resume.pdf
- Letter of Recommendation – Due No later than portal close date
- Bundled with Submission: InnovationTitleFirstThreeWords_University_StudentName_Recommendation
- Example: DeepReinforcementLearning_UCSD_JaneDoe_Recommendation.pdf
- Sent via e-mail:
- E-mail Header: “Letter of recommendation for students: XYZ for Submission# S2027XXX and Innovation TitleX”
- File Name: Submission#_University_StudentFirstNameStudentLastName_Professor_Recommendation
- Example: S2027XXXXX_JaneDoe_ProfessorX_Recommendation.pdf
- Proposal
- Submission#_University_InnovationTitleFirstThreeWords
- Example: S2027XXXX_UCLA_DeepReinforcementLearning.pdf
- Final Presentation
- Submission#_University_InnovationTitleFirstThreeWords_FinalPresentation
- Example: S2027XXXX_CMU_ DeepReinforcementLearning_FinalPresentation.ppt
- Final Recording
- Submission#_University_ InnovationTitleFirstThreeWords_FinalRecording
- Example: S2027XXXX_UToronto_ DeepReinforcementLearning_FinalRecording.mov
- Poster for Q&A
- Submission#_University_InnovationTitleFirstThreeWords_Poster#
- Example: S2027XXXX_UWisMad_ DeepReinforcementLearning_Poster1
- Finals Photograph
- Lastname_Firstname_Headshot
- Example: Doe_John_Headshot.jpg
- Abstract Document
- University_InnovationTitleFirst3Words
- Innovation Title Example: Deep Reinforcement Learning for Adaptive Multi-Agent Systems
