Center for High Performance Scientific Computing (CHIPS-Comp)  A Beowulf-type cluster of 20 dual Alpha EV6 833, 750 and 667 MHz workstations with a Scalable Coherent Interface (SCI) network accelerates the progression of parallel programming tasks and exchange of information across the processors. This architecture allows for an extremely powerful supercomputing capability that may be used by researchers in diverse fields to process data at rates not achievable with conventional computing systems. The center can support research in materials science, nuclear physics, parallel computing, and can offer know-how as well as consulting services in material science and nuclear physics and access to computational methods development expertise. |
Real Time GIS Data Tool, GeoData Web Editor  This technology is an open source GIS data tool. GIS provides a mechanism for management, analysis, and display of geographic knowledge, which is represented using a series of information sets such as maps and globes, geographic data sets, processing and work flow models, data models, and metadata. This technology utilizes an existing platform technology from ESRI Inc., ArcIMS. The ArcIMS platform technology is a server-based product that provides a scalable framework for distributing GIS services and data over the Web. The tool provides Web publishing capability for GIS maps, data, and metadata for access by users inside and outside an organization. ArcIMS enables Web sites to offer GIS data, interactive maps, metadata catalogs, and focused GIS applications. The GeoData function allows a real time editor application to be used for mapping and visualizing changes in location. The technology is similar to MapQuest, but differs in that it interprets street anomalies more accurately and further inputs those changes automatically into the information center responsible for data tracking (in Michigan, as an example, it is the Michigan Information System). |
Web Enabled Urban Planning Teaching Tool Called Web Polis Web Polis is an interactive tool developed to encourage and facilitate community participation through an online portal. This technology provides a direct link for local communities through an open information sharing environment. Web Polis offers a suite of applications including online discussion forums, newsletters, consensus builders, real estate analysis, a mapping/GIS component for spatial analysis, and community online survey prototypes with integral statistical analyses. The targeted users of the tool include city officials, economic development groups, the educational community (to teach politics and city government), and urban planning groups. |
Chaotic run time encryption system  Chaotic Run Time Encryptor uses discrete chaotic maps and/or simulated chaotic ODE systems to create a cipher text from any given plaintext using a simple process. Even when the plain text for a given cipher text is known the encryption keys are not compromised.
Compared to other encryption methods, the Chaos encryption system has a higher memory footprint with much higher key space, allowing for many different people to use the system without ever using the same key. It would be extremely difficult for anyone to use a brute force attack against the encryption algorithm. The system experiences run speeds faster than the most popular encryption system in use today – RSA. |
Applied Mathematics Function to Map Evolutionary Processes  This research is focused on fluid flow dynamics in porous material--more specifically in relation to nuclear waste contamination. It has recently been more focused on the development of mathematical models to predict disease progression, which includes HIV-1 dynamics, brain tumor progression, cholera colonization of the intestine, and early detection of specific antigens in the blood. While many of these projects are quite specific, the tools developed may be applied to mapping and predicting evolutionary processes in general. One of the projects that has spun out of the main effort focuses on the imaging, mapping, and progression prediction of brain cancer. The mathematical and statistical modeling is being integrated into a bioimplantable sensor for monitoring brain cancer. While this technology is still in a very early stage, it appears that there is at least a basic code that has been developed that is functional. Future work is focused on fine tuning the code and validating the brain cancer imaging and prediction function of the biosensors to allow for real time simulation. |
Design Optimization and Design Under Uncertainty Technology This research is focused on noise, vibration and harshness (NVH) and design under uncertainty. One outcome of this reseach is a design optimization tool that has potential application in a number of industry sectors. Although the graphical user interface is at an early stage of development, the algorithm design is sufficiently functional to solve series of complex problems. The research offers the opportunity to provide engineering services to numerous organizations on a consulting basis. |
X-ray Diffraction of Polycrystalline, Nanocrystalline and Amorphous Materials This research program is focused on x-ray diffraction of polycrystalline, nanocrystalline and amorphous materials. Additional work is directed toward computer simulations (Monte Carlo and Molecular Dynamics. Another facet of the ressearch is exploration of the the magnetic properties of materials. |
Reliability-Based Design This program of research is focused on design under engineering uncertainties, which deteriorate product reliability and quality. With a basic understanding of uncertainties in manufacturing and operational processes, product design is optimized by meeting its performances, by enhancing a target reliability, and simultaneously by maximizing quality. Other topics under investigation include possibility-/evidence-based design, statistical information technology (SIT), design sensitivity analysis, and biomechanics. Recent work has produced insights to both the enriched Performance Measure Approach (PMA+) and the Hybrid Analysis Method for reliability-based design optimization. |
Finite Element Analysis and Computer-Aided Engineering This reseach is focused on developing an array of technologies including finite element, boundary element, and finite difference programs for specific applications such as phase change, material fracture, contact stresses, sheet metal forming, strength evaluations, injection molding, etc. Developing interface programs for smooth and complete data transfer between CADD systems and F.E. programs. |
Soft Computing and Embedded Systems This program of research is focused on two areas. The first involves the development of soft computing techniques and their applications to computer learning and pattern recognition. Specific research topics include classification and regression trees, fuzzy systems, global optimization algorithms, and fuzzy-neural computing. The second involves the development of an interactive, subroutine-threaded programming language for embedded systems. It also includes the study of issues related to the design of embedded systems including hardware/software co-design, microcontrollers, and FPGA synthesis using VHDL. |
Multivariate statistics and models A broad range of statistical skills and knowledge is available for both basic and applied problems including statistical quality control, industrial and biostatistical applications. Specific areas of specialization included multivariate analyses and repeated measures as well as linear models and experimental design with a broad spectrum of application interests. |
Structural Roles of Water in Bone Observed by Solid-State NMR Vibrational spectroscopy is used to solve problems dealing with molecular structure. Nearly any type of sample can be analyzed by Raman spectroscopy because of the flexibility of using a focused laser beam as the light source. The current focus is on apatite, a form of calcium phosphate, which is the major constituent of bone and is also found as a natural mineral in rocks. The lab creates apatite substituted with ions typically found in bone in order to support Raman analysis of bone tissue. A silane hydrolysis process also is being explored, to develop a Raman detection method and study the kinetics of the process. The materials studied are diverse and have also included proteins containing the heme group (hemoglobin and cytochrome oxidase), inorganic glasses (germanium diselenide doped with metals) and polymers (azoazromatic polyethers). Modern computational modeling of molecular structure and conformation augments experimental studies. |
Algebra, Combinatorics, Matrix Theory, and Number Theory The primary objective is to stimulate talented undergraduate students to pursue graduate work in sciences and mathematics by providing accessible and challenging research problems in basic mathematics. Five faculty members will be involved in the three year program. Three faculty mentors will coordinate the effort each summer. Students will work in groups of two or three with one faculty mentor. Students will make presentations of their progress during weekly seminars.
Each student will submit a written report at the end of the program. Students will be encouraged to publish their work and make presentations at professional meetings. Every effort will be made during recruitment process to attract applicants from students in under-represented groups. The students will be provided stipend, housing costs, meal allowance, and support for travel and travel support for conference presentations. Central Michigan University will provide access to classrooms, the campus library, computer labs, notebook computers, printing and copying services, and recreational facilities. To complement the research experience a number of social enrichment activities have been planned. The intellectual merit of this project is based in the challenging mathematical problems students will attempt to solve. The students will tackle unsolved problems whose solutions (or partial solutions) will improve human understanding of the very structure of mathematics. The broader impact of the proposed project include training undergraduates in research in basic mathematics, increasing the participation of women and minorities in science and math activities, and involving undergraduates as young professionals in the broader disciplinary field. |
Computational and Numerical Statistics and Mathematics The Department of Mathematics and Statistics at Oakland University hosts an eight week REU summer research program, Computational and Numerical Statistics and Mathematics, CaNSaM, for undergraduate students. The goal is to provide talented under-represented minority students with research experience and training in the computational aspects of the mathematical sciences. Ten students with majors in the sciences, engineering, and mathematics will be recruited from Michigan and other areas of the United States. Each student will work under initial close supervision with one or more of the six faculty mentors in an area of computational mathematics (medical simulations, engineering modeling, routing problems, computational algebraic geometry) or statistics (high throughput screening analysis), leading to independent work by the end of the eight week period. Weekly informal discussion sessions with all participants and mentors will provide shared experiences and exposure to a wider range of problems with a computational focus. Each student will spend a significant portion of the first four weeks of the proposed eight week session in a class on scientific visualization. Each student participant will receive student memberships in the AMS, the MAA, SIAM, and where appropriate ASA. Students will engage in their own research projects, the scientific visualization course, weekly group meetings, special guest lectures and events aimed at eventual job placement, midterm and final oral presentations, a final written presentation and weekly social events. Students will construct a web site describing their project and results. CaNSaM offers undergraduate students the opportunity to participate in active numerical and computational research. The participants will gain insights and develop skills for identifying and solving problems that are amenable to computer simulation or solution. They will also develop visual, written, and oral skills in communicating mathematics and statistics. The kinds of close contacts developed in this program will be an incentive for participants' further study and eventual employment in mathematics or statistics. Participants in the program will become role models for underrepresented minorities to help encourage mathematically talented students to pursue
careers in mathematics and statistics. Students in the program will be encouraged to make themselves visible in their respective communities. |
Microprocessor-Based System Design Faculty members at Oakland University are introducing problem-based learning (PBL) in the Microprocessor-Based Systems Design course required in the Computer Engineering and Electrical Engineering undergraduate programs. Previous studies have shown that the PBL method significantly improves important skills such as evaluating and using appropriate learning resources; analyzing and solving open-ended, real-world problems; working cooperatively in teams; and communicating effectively.
The newly structured design course is replacing the lecture component with a mixed PBL and lecture-based method of instruction. This mixed approach of instruction has been successfully used in other disciplines; examples include the Engineering Measurement course in Mechanical Engineering at the North Dakota State University (NSF DUE Award #0126671) and the Honors General Chemistry courses at the University of Delaware. In the second half of the semester, students are being engaged through four PBL modules. A set of measurable outcomes has been identified and an evaluation criterion is being developed to assess the impact of the PBL method in the course. |
A New Finite Element Solver Algorithm of Optimal Speed and Robustness The investigator is investigating the potential of a new method for
constructing finite element solvers of optimal speed. For a class
of bounded monotone elliptic systems, the method solves the finite element
model in a discrete quotient space, whose complexity depends mainly on the
kernel of the discritized finite element operator, and is linearly
proportional to the number of unknowns in the system. The investigator
will demonstrate that the method has many advantageous features,
and seek for extending it to to more challenging problems such as
convection-dominated diffusion.
The research resides at the heart of high performance scientific
computation, having repeatedly been identified as a critical mission by
National Sciences Foundation over the last several decades. In 2003,
the U.S. Department of Energy publicized a two-volume report
titled "A Science-based Case for Large Scale Simulation", prepared with
direct input from more than 300 of the nation's leading computational
scientists, in which discovering efficient solver algorithms for large
scale simulation is recognized as important as building supper computers.
The investigator directly answer to the call with a strong promise to
advance that mission. |
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