Research Interaction Teams (RIT)
Spring 2012
See here for last spring's list
and here for the fall 2011 list.
RITs ("Research Interaction Teams") are informal groups designed to foster interaction between
faculty, students, and postdocs, and to get students interested in
current research. Most of them meet as informal seminars with active
student participation (and in many cases, student organization as well).
Note: RITs were formerly listed on the VIGRE pages. Now that the VIGRE
grant has officially ended, they have been moved here.
- RIT
on "Aspects of Statistical Mechanics with Applications"
- Organizers: Maria Cameron (Dept. of Mathematics,
cameron@math.umd.edu),
Ted Einstein (Dept. of Physics, einstein@umd.edu),
Dionisios Margetis (Dept. of Mathematics, dio@math.umd.edu),
Paul Patrone (Dept. of Physics, ppatrone@umd.edu).
- Meeting Time: Mondays 4-5 PM
- Location: MATH 1308
- Credit: Students may participate without signing up.
Students who sign up for credit (1 credit) are expected to attend regularly,
pick one topic and develop it into a book report
or a seminar presentation by the end of the semester.
- Description: Stochastic dynamics governs a broad range of physical phenomena
that occur on small length and time scales under the influence of small thermal noise.
Chemical reactions, conformal changes in biomolecules, magnetization switches,
and nucleation events in first-order phase transitions are examples of thermally
activated processes.
Furthermore, stochastic modelshave been applied to such areas as evolutionary biology,
theoretical ecology, computer networks, and pricing of financial securities.
The goal of this RIT is to explore various problems that are modeled using
stochastic differential equations (SDE's) or methods of statistical mechanics.
- RIT on Applied Partial Differential Equations
- Organizers: Stuart Antman, Maria Cameron, Sandra Cerrai,
Manoussos Grillakis, David Levermore, Doron Levy,
Matei Machedon, Dionisios Margetis,
Antoine Mellet, Eitan Tadmor, Konstantina Trivisa,
Peter Wolfe (lead organizers in bold)
- Meeting Time: 3:00pm - 3:50pm Mondays, starting September 12
- Location: MTH 1311.
- RIT on Weather, Chaos, and Data Assimilation
- Organizers: Kayo Ide, Brian Hunt, Eugenia Kalnay, Takameasa Miyoshi
- Meeting Time: Mondays 2-3:45 starting September 12 (check website for
further schedule)
- Location: CSS 4301
- Description: The group studies data assimilation and related problems
in the nonlinear dynamics of geophysical systems, from theory to
operational applications in areas such as weather forecasting.
Activities will include discussion of current group research,
presentations by the RIT students, and occasional research seminars by
outside experts.
- Student Dynamics
Seminar/RIT
- Organizers: James Tanis and Brendan Berg
- Meeting Time: 3:30-5:30 PM Tuesdays.
- Location: MTH 1308.
- RIT on Optimal Learning Applied To Donor
Retention In Disaster Relief
- Organizer: Ilya Ryzhov,
Dept. of Decision, Operations and Information Technologies,
Robert H. Smith School of Business
- Meeting Time: Thursdays 3:00 - 5:00
- Location: VMH 4322
- Participation: By sign-up only; please contact Prof. Ryzhov
if you are interested.
- Description:
Our research team has won access to a dataset containing detailed
historical records and donation histories for over 500,000 Red Cross
donors. Typically, after a major disaster such as Hurricane Katrina, the
Red Cross experiences a spike in one-time donations. The Red Cross would
like to turn as many of these one-time donors as possible into recurring
donors. Donors are cultivated using a wide variety of communication and
marketing strategies, such as different types of mailings. These mailings
are extensively categorized in the dataset. The goal
is to identify optimal communication strategies that should be
used to target donors with particular characteristics.
The project has both theoretical and applied dimensions. On the theory
side, it is necessary to develop new statistical models and optimization
algorithms with strong performance guarantees. Algorithmic rate of
convergence results are of particular interest, since they can provide
assurance that we can efficiently discover a good communication strategy in
a short period of time. The application side will be based on the dataset
and will focus on ensuring the computational efficiency and tractability of
algorithms, as well as on using them to provide practical recommendations.
- Learning Seminar on p-adic Hodge Theory
- Organizers: Tom Haines, Niranjan Ramachandran
- Meeting Time: 2:00pm - 3:00pm Fridays, starting September 9
- Location: MTH 1311.
- Cancer Modeling RIT
- Organizers: Courtney Davis, Amanda Galante, Shelby Wilson, and Doron Levy
- Organizational Meeting: Friday, 12:00 noon, September 2.
- Regular Meeting Time: Fridays, 11:00, starting 9/16.
- Location: CSIC 4122
- Description: For Fall 2011, we will be discussing
models from Wai-Yuan Tan and Leonid Hanin's
"Handbook
of Cancer Models with Applications".
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