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Full-Time: A student who carries 12 credit hours (equivalent to four approved courses) of work approved by the advisor is considered a full-time student by the department. Research assistants (RAs), teaching assistants (TAs) and graduate assistants (GAs) are considered full time at 9 or more credit hours. The following students must be full time: university fellows, department fellows, TAs, RAs, GAs, veterans (supported by the Veteran's Administration), and all foreign students with a student visa.
Students who are within 12 credit hours of fulfilling their Master's or Ph.D. degree requirements (9 credit hours in the case of RAs, TAs and GAs) should petition the Graduate School for full-time status if registering for fewer than 12 (9 for RAs, GA and TAs) credits. Petition forms are available at http://www.grad.buffalo.edu/forms/students/petition.pdf. All supported students and all foreign students falling into this category must file the petition. Note that an Application to Candidacy (ATC) form (see http://www.grad.buffalo.edu/forms/students/atc.pdf) must be submitted and approved before a petition for full-time status will be approved by the Graduate School. Supported students should also be aware that the number of tuition scholarship credits that will be allowed will be limited to only those credit hours required for a particular degree (30 credit hours for the M.S. or 72 credit hours for the Ph.D., less any transfer credits).
Part-Time: A student who carries less than the equivalent of four approved courses and has not filed a petition for full-time status is considered a part-time student by the department.
MAE researchers have developed advanced computational techniques for Fire Simulation and multi-phase reacting turbulent flows.
UB MAE researchers in computational mechanics have developed a high fidelity volcanic landslide simulator to aid geologists in mapping the hazard areas at locations such as the island of Montserrat.
A Level Set Embedded Interface Method has been developed at Compuational Fluid Dynamics Laboratory to simulate Conjugate heat transfer for irregular geometries
MAE's Laser Flow Diagnostic Laboratory is a leader holographic particle image velocimetry, a three-dimensional, next generation flow diagnostics tool.
MAE's Automation, Robotics, and Mechatronics Laboratory is conducting research both on the theoretical formulation and experimental validation of such novel mechatronic systems as multi-robot collaboration.
The nonlinear estimation group is developing techniques for propagating uncertainties through nonlinear dynamical systems for better forecasting and output uncertainty characterization.
Study of Non-premixed flame-wall interaction using vortex ring configuration is done for the first time at the Computational Fluid Dynamics Laboratory.
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