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:
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
and indoor/3D support, we solicit research proposals in the areas of
storing and mining data streams.
- GPS, Wi-Fi, RFID and other wireless location-based services.
- Integrating signals from other devices such as compass and
- Statistical models for considering strength, direction,
- Peer to peer collaborative mechanisms to improve
- Novel integration with GMM (e.g.,
transit scheduling, and store identification).
- Algorithms that can
make tradeoffs between accuracy and power conservation.
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
- High volume stream data storage, indexing and management
- Incremental and scalable stream-data mining algorithms for
- Privacy preserving information collection and data mining
- Multimedia, multimodality information coding and tagging.
- Statistical, computational geometry model for path data
- Data driven approach to explore and mine user travel paths
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
our clusters whenever possible.
The deadline for submissions is throughout the calendar year
1st, 2010 (Closed)
August 20, 2010
Please send your proposals to Aimin Zhu (email@example.com).
normally a 3-page proposal shall be OK (or a little bit more pages),
with following information included:
- Proposal Title
- Principal Investigator (PI) full name, contact information
(postal address, e-Mail, phone), affiliation (University, School,
College and/or Department)
- Research Abstract and Goals
- One or two keywords from the research areas listed above
that best captures the principal focus of proposed research
- Technical description
- Expected outcomes and results
- Budget section, usually to support one or two graduate
students for one academic year
- Google contacts (someone at Google who is familiar with
your professional work), if any
- Google technical sponsor's name list. (here you can put Ed
as Google sponsor).
Chang, Google Research