Four members of the
Whiting School of
Engineering faculty have received the highly
competitive National Science Foundation's Faculty Early
Career Development award, known as CAREER, which recognizes
young scientists' commitment to both research and
education.
Fabian Monrose, an assistant professor in
Computer Science and
the Information
Security Institute, will study security mechanisms in
computer networks and the feasibility of protocol
identification based solely on content features that remain
intact after encryption. His goal is to provide a better
understanding of the limits of protocol recognition based
on a thorough statistical analysis and information
theoretic assessment of the available features in protocol
behaviors observed in the wild.
Jeff Wang, an assistant professor in
Mechanical
Engineering and the
Whitaker Biomedical
Engineering Institute, will develop a platform to
assess mRNA expression using a novel quantum dot FRET probe
within a microfluidic environment. Wang's education goals
include BioMEMS course development, introducing a seminar
series on Bio/Nano topics, undergraduate mentoring and an
outreach component focused on involving high school
students.
Sean Sun, an assistant professor in
Mechanical
Engineering and the
Whitaker Biomedical
Engineering Institute, will develop theoretical and
computational models of molecular motors — cellular
proteins that can generate mechanical force. The research
is developing several coarse-grained elastic models for
myosin and dynein, two types of molecular motors involved
in movement of muscle, cilia and flagella. In a second
phase of the research, elastic models for the collective
behavior of ensembles of these molecular motors are being
developed. Sun's work will also involve students from
Morgan State University.
Andreas Terzis, an assistant professor in
Computer Science,
will study wireless sensor networks, which offer the
promise of revolutionizing the way scientists observe the
physical environment. His goal is to make the management
and deployment of sensor networks radically simpler through
the development of network design tools. The tools
developed in this project will create sensor networks that
are predictable and robust instruments and that empower
scientists to observe phenomena that were previously out of
reach. Terzis will work with high school teachers to bring
the results of this project to the broader academic and
educational community.
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