Graduating
Seniors Share Advice, Mason Highlights
[includes profiles of Patrick Early, who graduated with a B.S.
in Electrical Engineering, and Kelsey Ryan, who graduated with
a B.S. in Civil and Infrastructure Engineering]
Presentation by Oracle (Jan 28,
12pm, Research Hall 163)
Who
–
Oracle When –
1/28/2015 @ 12:00 PM Where –
Research Hall 163
Oracle
is
primarily known for its world class relational database. Although
the Oracle
database is a significant component of its product offerings,
Oracle is more
than a database company. The focus of this brown bag presentation
is to provide
the audience with a high-level overview of Oracle as a product and
solution company.
This presentation will touch on several Oracle products and
solutions that
address various technologies that include the Oracle database in
combination
with other products that are part of Oracle’s growing product
families.
Technologies that will be covered include the Oracle database,
Solaris and
Linux operating systems, SPARC processors, storage and file
systems, and
Oracle's approach to Big Data.
This
is
a great presentation for all to attend.
Bob
Osgood Director
Computer Forensics and Data Analytics Engineering ENGR
3255 [log in to unmask] 703-993-5443
This
article
appeared in the New York
Times
on Sunday, January 11, 2015.
“Imagine
it’s
a Sunday in the not-too-distant future. An elderly woman named
Sylvia is
confined to bed and in pain after breaking two ribs in a fall. She
is being
tended by a helper robot; let’s call it Fabulon. Sylvia calls out
to Fabulon
asking for a dose of painkiller. What should Fabulon do? …”
[This
is
the message from Mason’s Office of Research.]
We
wanted
to share with you some updates the Office of Research has made for
disseminating limited submission opportunities to the Mason
research
community.We recently
created a
listserv to distribute messages directly to interested faculty.We will use the listserv to
announce major
limited submission opportunities and to highlight upcoming
deadlines on a
periodic basis.Faculty
can also monitor
limited submission opportunities at (http://research.gmu.edu/ResearchDev/deadlines.html)
A
dedicated email account ([log in to unmask])
has been established for the
limited submission committee to send updates to faculty and manage
the
selection process.Faculty
and
administrators can subscribe or unsubscribe to the limited
submission listserv
by sending a request to [log in to unmask].
Mentoring
organizations
can begin submitting applications to Google on February 9, 2015.
The mentoring organization deadline is February 20, 2015. The
student proposal
period begins 16 March, 2015 at 19:00 UTC and ends 27 March, 2015
at 19:00 UTC.
Through
Google
Summer of Code, accepted student applicants are paired with a
mentor or
mentors from the participating projects, thus gaining exposure to
real-world
software development scenarios and the opportunity for employment
in areas
related to their academic pursuits. In turn, the participating
projects are
able to more easily identify and bring in new developers.
Eligibility
Representatives
and
mentors for the organizations must be at least 18 years old.
Google defines
a student as an individual enrolled in or accepted into an
accredited institution
including (but not necessarily limited to) colleges, universities,
masters
programs, PhD programs and undergraduate programs. Student must be
eligible to
work in the country in which they will reside throughout the
duration of the program.Mentor
organizations must be organizations or
individuals running an active and viable open source or free
software project
whose proposals are approved by Google's Open Source Programs
Office.
Organizations based in Iran, Syria, Cuba, Sudan, North Korea and
Myanmar
(Burma), with whom we are prohibited by U.S. law from engaging in
commerce, are
ineligible to participate. Representatives and mentors for the
organizations
must be at least 18 years old.
Funding
Google
will
provide a total stipend of 6000 USD per accepted student
developer, of
which 5500 USD goes to the student and 500 USD goes to the
mentoring
organization.
The
Naval
Surface Warfare Center, Dahlgren Division (NSWCDD) seeks
Universitiesthat
possess the expertise, capabilities, facilities, and experience in
the
following areas of interest:
Cyber
Situational Awareness and Dynamic Semi-Autonomous Service
Management
Technologies;
Mapping
of Attacks to Business Processes, Real-time Assessment of
Risks, and Decision
Support Tools; and
Trustworthy
Cloud Computing.
The
objective is to host a University Cyber Research Forum at Naval
Surface Warfare
Center Dahlgren Division in the spring timeframe.
Any
University
that believes it has the ability to conduct research in these
areas
of interest and would like to participate in this forum can
identify its
capabilities by submitting the information to Naval Surface
Warfare Center,
Dahlgren Division, Kathleen Young, Z30, [log in to unmask]
or 18372 Frontage Road - Suite
318, NSWC Dahlgren Division, Dahlgren, VA 22448-5160.
The
information
submitted should include: 1. Title of proposed Presentation and
Synopsis (100 words max); 2. Briefer information;3. Recommended
by: (if
applicable); 4. Demonstrated ability or plan to perform contract
research; and
5. Demonstrated ability or plan to conduct research at the
Controlled
Unclassified and Secret level.
Funding Opportunity:Critical Resilient
Interdependent
Infrastructure Systems and Processes (NSF)
Critical
infrastructures
are the mainstay of our nation's economy, security and health.
These infrastructures are interdependent. For example, the electrical power
system depends
on the delivery of fuels to power generating stations through
transportation
services, the production of those fuels depends in turn on the use
of
electrical power, and those fuels are needed by the transportation
services.
The goals of the Critical Resilient Interdependent Infrastructure
Processes and
Systems (CRISP) solicitation are to: foster an interdisciplinary
research
community of engineers, computer and computational scientists and
social and behavioral
scientists, that creates new approaches and engineering solutions
for the
design and operation of infrastructures as processes and services;
enhance the
understanding and design of interdependent critical infrastructure
systems
(ICIs) and processes that provide essential goods and services
despite
disruptions and failures from any cause, natural, technological,
or malicious;
create the knowledge for innovation in ICIs so that they safely,
securely, and
effectively expand the range of goods and services they enable;
and improve the
effectiveness and efficiency with which they deliver existing
goods and
services.
DARPA
is
soliciting innovative research proposals in the area of
understanding complex
distributed computing environments towards exposing and stopping
advanced cyber
adversaries (also referred to as Advanced Persistent Threats, or
APTs). The Transparent
Computing (TC) program aims to make currently opaque computing
systems
transparent by providing high-fidelity visibility into component
interactions
during system operation across all layers of software abstraction,
while
imposing minimal performance overhead.
Funding Opportunity:Campus Cyberinfrastructure
- Data,
Networking, and Innovation Program (NSF)
The
Campus
Cyberinfrastructure - Data, Networking, and Innovation (CC*DNI)
program
invests in campus-level data and networking infrastructure and
integration
activities tied to achieving higher levels of performance,
reliability and
predictability for science applications and distributed research
projects.
Science-driven requirements are the primary motivation for any
proposed activity.
The Campus Cyberinfrastructure - Data, Networking, and Innovation
(CC*DNI) program
welcomes proposals in seven areas: Data Infrastructure Building
Blocks (DIBBs)
- Multi-Campus/Multi-Institution Model Implementations; Data
Driven Networking
Infrastructure for the Campus and Researcher; Network Design and
Implementation
for Small Institutions; Network Integration and Applied
Innovation; Campus CI Engineer;
Regional Coordination and Partnership in Advanced Networking; and
Instrument
Networking.
Funding Opportunity:Cyberlearning and Future
Learning
Technologies (NSF)
The
purpose
of the Cyberlearning and Future Learning Technologies program is
to
integrate opportunities offered by emerging technologies with
advances in what
is known about how people learn to advance three interconnected
thrusts:
Innovation: inventing and improving next-generation genres (types)
of learning
technologies, identifying new means of using technology for
fostering and
assessing learning, and proposing new ways of integrating learning
technologies
with each other and into learning environments to foster and
assess learning;
Advancing understanding of how people learn in technology-rich
learning
environments: enhancing understanding of how people learn and how
to better
foster and assess learning, especially in technology-rich learning
environments
that offer new opportunities for learning and through data
collection and
computational modeling of learners and groups of learners that can
be done only
in such environments; and Promoting broad use and transferability
of new genres:
extracting lessons from experiences with these technologies that
can inform
design and use of new genres across disciplines, populations, and
learning
environments; advancing understanding of how to foster learning
through effective
use these new technologies and the environments they are
integrated into.
Funding Opportunity:Machine Intelligence from
Cortical Networks
(IARPA)
Sponsor:Intelligence Advanced
Research
Projects Activity
The
Machine
Intelligence from Cortical Networks (MICrONS) program to
revolutionize machine
learning by reverse-engineering the algorithms of the brain. The
program is
expressly designed as a dialogue between data science and
neuroscience. Participants
in the program will have the unique opportunity to pose biological
questions with
the greatest potential to advance theories of neural computation
and obtain
answers through carefully planned experimentation and data
analysis. Over the
course of the program, participants will use their improving
understanding of
the representations, transformations, and learning rules employed
by the brain
to create ever more capable neurally-derived machine learning
algorithms.
Ultimate computational goals for MICrONS include the ability to
perform complex
information processing tasks such as one-shot learning,
unsupervised
clustering, and scene parsing, aiming towards human-like
proficiency. …
--
===============================================================
Stephen G. Nash
Senior Associate Dean
Volgenau School of Engineering
George Mason University
Nguyen Engineering Building, Room 2500
Mailstop 5C8
Fairfax, VA 22030
[log in to unmask]
Phone: (703) 993-1505
Fax: (703) 993-1633
http://volgenau.gmu.edu/web/volgenau/senior-associate-dean