Mobile 2014 - Focused Grant, Google Research


Mobile 2014 aims to organize a multi-institute research program on developing key technologies for enabling next-generation mobile killer apps to service end users. Mobile 2014 is expected to benefit Google’s mobile strategy as well as end users who soon will spend more time with their mobile phones than with their desktop computers. This project will collaborate closely with Mobile FA, GLS, and other relevant engineering teams to set goals and evaluate results.

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Call for Proposals

Innovative research in mobile networking, sensing, and computing that is very fundamental in science and engineering is needed to lay the foundation for new technologies beyond those that are mature and ready for applications in mobile networks. In particular, Google invites you to submit proposals for enhancing technologies in two focused areas:

Location tracking with advanced hardware and software solutions.

The location service supported by Google (GLS) entertains hundreds of millions of queries daily in Q1 2010. GLS has improved its service coverage drastically in 2009. In the next couple years and beyond, GLS plans to pay attention to location-prediction accuracy. In addition to being able to pin down a location on a 2D terrain, indoor and 3D positioning is essential for enabling an array of applications (e.g., mapping out a shopping mall). For achieving the accuracy-improvement aim and indoor/3D support, we solicit research proposals in the areas of

  • GPS, Wi-Fi, RFID and other wireless location-based services.
  • Integrating signals from other devices such as compass and pedometer.
  • Statistical models for considering strength, direction, reliability of moving signals.
  • Peer to peer collaborative mechanisms to improve position-prediction accuracy.
  • Novel integration with GMM (e.g., transit scheduling, and store identification).
  • Algorithms that can make tradeoffs between accuracy and power conservation.
  • More...
Infrastructures for storing and mining data streams.

General theories and algorithms are yet to be developed for organizing and storing large -scale path information collected from a variety of mobile devices. The problem is made even more challenging by the fact such data is naturally distributed and we depend on a communication network to bring it together. Many different applications can be enabled by developing tools for analyzing and efficiently querying massive path data collections, ranging from improved driving guidance and other mobile services, to extracting the structure of social networks based on mobility and association patterns. We solicit proposals in the areas of
  • High volume stream data storage, indexing and management architecture.
  • Incremental and scalable stream-data mining algorithms for path patterns.
  • Privacy preserving information collection and data mining on mobile devices.
  • Multimedia, multimodality information coding and tagging.
  • Statistical, computational geometry model for path data representation.
  • Data driven approach to explore and mine user travel paths for point-of-interest identification.
Mobile 2014 is a 3-year research program. We are requesting proposals from selected faculty members. Google plans to offer engineering collaboration with the teams selected, and to help whenever possible by providing relevant usage statistics of computing components/systems in our clusters whenever possible.

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Important Dates

The deadline for submissions is throughout the calendar year 2010.

Submission Deadline:
  June 1st, 2010 (Closed)
  August 20, 2010 (Closed)

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Please send your proposals to Aimin Zhu (

Proposal Format

normally a 3-page proposal shall be OK (or a little bit more pages), with following information included:
  1. Proposal Title
  2. Principal Investigator (PI) full name, contact information (postal address, e-Mail, phone), affiliation (University, School, College and/or Department)
  3. Research Abstract and Goals
  4. One or two keywords from the research areas listed above that best captures the principal focus of proposed research
  5. Technical description
  6. Expected outcomes and results
  7. Budget section, usually to support one or two graduate students for one academic year
  8. Google contacts (someone at Google who is familiar with your professional work), if any
  9. Google technical sponsor's name list. (here you can put Ed as Google sponsor).
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Initiative Leader: Edward Chang, Google Research
Program Liaison: Aimin Zhu, Google

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