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City Campus Academic Programs/ Course Guides / Engineering / AK / C / computational engineering 2 Code HE Course Guide, computational engineering 2
http://www.rmit.edu.au/browse/Our Organisation/Faculties/Engineering/Schools/Aer
CES - Computational Engineering Science
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http://www.ces.rwth-aachen.de/
Computational Engineering
I think that the field of computational engineering is indispensableto developing new products in Hitachi. Computational techniques
http://future.pis.hitachi.co.jp/eng/c_forum/c-2.html

Extractions: Dr. Shikano You're right. Computational engineering is one of the important missions of our laboratory. We have recognized the importance of computational engineering and have been developing various design systems based on computational technologies. Advanced simulations lead to the 'future', I believe.
Computational Engineering And Science Program
Graduate Study VIGRE Grant Research People ComputationalEngineering and Science Program. The CES Program at the University
http://www.math.utah.edu/ces/

Extractions: Department of Mathematics - University of Utah Home Students Math Ed Schedules ... People The CES Program at the University of Utah is jointly sponsored by the Departments of Computer Science and Mathematics. Its goal to allow graduate student to obtain integrated expertise and skills in all areas that are required for the solution of a particular problem using computing. A more complete description of the program is given in the links listed below. For additional information about the CES Program at the University of Utah contact Aaron Fogelson in the Department of Mathematics at fogelson@math.utah.edu or Chris Sikorski in the Department of Computer Science at sikorski@cs.utah.edu Calendars Contents Dept Info ...
Computational Engineering Analysis
computational engineering ANALYSIS. The Lucent Technologies ComputationalEngineering Analysis Group (CEAG) provides engineering
http://www.gpcl.com/services/analysis.htm

Extractions: Engineering Analysis Dynamic Testing NEBS ... Thermal Testing Resources Certificates Preparing for Testing Service Quality Feedback COMPUTATIONAL ENGINEERING ANALYSIS The Lucent Technologies Computational Engineering Analysis Group (CEAG) provides engineering consulting services for product development, research, and testing organizations. The CEAG provides engineering analysis and support, using an integrated numerical approach that incorporates Finite Element Analysis (FEA), Design of Experiments (DOE), and Computational Fluid Dynamics (CFD) methodologies. This approach is used to assess product performance and reliability by simulation and prediction of design margins. The following numerical methodologies are used for product analysis/simulation: Web-based thermal analysis tools - developed by CEA Group for first-order thermal analysis.
Advanced Computational Engineering Laboratory
?. Welcome toAdvanced computational engineering Laboratory. ¦13
http://www.ace.ec.saga-u.ac.jp/
Graduate Program In Computational Engineering At Munich University
Message PrevMessage NextMessage Index Graduate Program in ComputationalEngineering at Munich University. Subject Graduate
http://www.csc.fi/math_topics/Mail/NANET00-2/msg00111.html

Extractions: Message Prev Message Next Message Index The Department of Mechanical Engineering of the Munich University of Applied Sciences starts in October 2000 an "International Graduate Program - Mechanical Engineering". This 3 semester postgraduate course focusses on computational engineering in the field of dynamics and control, elasticity and fracture mechanics, thermo-fluid mechanics and mechatronics. Intensive project cooperation will be performed together with Bavarian industry. Course language is English. One semester will be studied abroad at one of several partner universities. More information at http://www.fh-muenchen.de/MasterME or from dkraft@acm.org Prev by Message: Conference in India on Advances in Mathematical Sciences Next by Message: Faculty Positions at University of New South Wales Index(es): Message
ORNL Computational Physics And Engineering Division
computational Physics and engineering Division (CPED) is a major research division at the Department of Energy's multidisciplined Oak Ridge National Laboratory.
http://www.cad.ornl.gov/
CFX Provides Computational Fluid Dynamic (CFD) Software And Services.
computational fluid dynamics software, CFX and CFXTASCflow.
http://www.software.aeat.com/cfx/

Extractions: In an announcement on Feb 4, Chris Reid, CEO of CFX, added: "In addition to being a market leader, ANSYS has a long history of profitable operations. The opportunities to leverage each other's respective strengths in management, marketing and sales are clear, and ANSYS' market leadership in engineering simulation will enable us to take our tremendous domain experience and technology base in CFD to the market more effectively and with greater impact. Additionally, CFX and ICEM CFD have long been partners on a number of fronts and our new association with them provides new opportunities for enhanced technology and product integration. This powerful combination of structural and fluids solutions will enable us to solve entirely new classes of problems, delivering much greater value for the customer."
Computer Aided Engineering Solutions
computational fluid dynamics simulates air flow dynamics inside and outside buildings.
http://bckpc.com/caes
BMERC: Computational Biology, Structure Prediction, Functional Profiles, And Gen
Tools and methods for computational biology. Working on secondary protein structure prediction, providing reliable profiles, and developing new ways to study molecular biology through bioinformatics.
http://bmerc-www.bu.edu/index.html

Extractions: The BMERC provides research support in both the development and application of computational biology / Bioinformatics methods in biology. This includes a graduate and postdoctoral training program. The Center's research focus is currently on full-genome comparative analyses, protein structure prediction, protein function identification and domain dissection. Our work has led to the formulation and testing of hypotheses in the areas of molecular evolution, gene regulation, developmental genetics, and protein structure-function relationships.
Scientific Computing And Visualization Home Page
Scientific computing and visualization group at Boston University. Research in computational science and engineering, scientific visualization, and computer graphics.
http://scv.bu.edu/

Extractions: Welcome to the Boston University Scientific Computing and Visualization Group's Web server. The Scientific Computing and Visualization (SCV) group within the Office of Information Technology at Boston University provides specialized computing and communication resources geared towards research and education in computational science and engineering, scientific visualization, computer graphics and other disciplines which have high-performance computing requirements. SCV manages these resources in close collaboration with the University's Center for Computational Science . The computing facilities provided by the group include an IBM pSeries 690 (Regatta), an IBM SP, an SGI Origin2000 supercomputer cluster, a computer graphics laboratory featuring 3D, full color computer graphics workstations, our Access Grid Conference Facility and the high resolution, passive stereo display Deep Vision Display Wall. A more detailed description of the SCV computing facilities is available. The SCV staff is available to assist the community in the effective utilization of these resources. Some examples of areas in which we can help are in the use of the various programming tools and packages, the development of parallel algorithms and programs, the development of custom computer graphics tools, the application of graphics algorithms and the conversion of data into effective graphical representations. SCV also provides production facilities for generating
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A scientific, nonprofit organization that promotes the development and the unified consideration of new mathematical methods and computational techniques and their applications in science and engineering. Conferences, journals, newsletters, FAQs, members, books and board of directors. Operations are currently suspended.
http://www.wseas.org/
AIChE Computational Molecular Science And Engineering Forum (CoMSEF)
A unit of the American Institute of Chemical Engineers. Includes a listing of academic researchers and information on conferences sponsored or cosponsored by the forum.
http://www.ecs.umass.edu/che/am3/AIChE.html

Extractions: Submit Proposals to Present now for the 2003 AIChE Annual Meeting in San Francisco! Scope : CoMSEF is a forum for the combined community of engineers and scientists who are developing and applying molecularly based theories, modeling, and simulation. Its scope of technical interests includes chemical, biological, and materials processes and products. A key feature is joining molecularly based modeling with the other computational methodologies that are used in the chemical engineering sciences for research, development, operations, and education. Objectives: Provide a forum for communication and networking among those with an interest in the computational molecular sciences and engineering. Coordinate, sponsor, co-sponsor, and advertise relevant programming, including cross-cutting and special-initiative technical sessions and conferences. Promote interchange of ideas, concepts, know-how, and experiences in the computational molecular sciences and engineering, including their connections with experiment. Encourage educators at all levels, particularly in chemical engineering, to integrate concepts of computational molecular sciences and engineering.
Fields Institute-Numerical & Computational Challenges In Science & Engineering
Thematic Programme at the Fields Institute, Toronto; August 2001 to August 2002.
http://www.fields.utoronto.ca/programs/scientific/01-02/numerical/

Extractions: Scientific Program Committee Uri Ascher, University of British Columbia Michel Fortin, Laval University Hermann Brunner, Memorial University Peter Forsyth, University of Waterloo Tony Chan, University of California, Los Angeles Alan George, University of Waterloo Tom Coleman, Cornell University Ken Jackson, University of Toronto Wayne Enright, University of Toronto Bill Langford, University of Guelph Joe Flaherty, Rensselaer Polytechnic Institute Bob Russell, Simon Fraser University Sam Shen, University of Alberta Overview The Thematic Year on Numerical and Computational Challenges in Science and Engineering recognizes the central importance of Numerical Analysis in many areas of Science and Engineering. At the heart of the program will be the development, analysis and testing of new numerical methods for a broad range of mathematical problems arising in linear algebra, optimization, differential equations and dynamical systems. The program features a series of workshops which focus on several key application areas where the fruitful interaction between scientists, engineers and numerical analysts is already taking place and where progress is likely to lead to important practical advances in the next decade. Included among these are Climate Modelling, Computational Biology, Computational Finance and Computer Animation.
Department Of Computer Science
Department of Computer Science. Research Groups computational Biology; Model Based Systems; Intelligent Robotics; Software engineering; Centre for Intelligent Systems.
http://www.aber.ac.uk/compsci/
Pagina Nueva 1
Held in Alicante, Spain.
http://www.ua.es/cmmse2002/
Biomagnetics
Summary of computer modeling research on the electrical and magnetic activity of human heart and brain for 3D visualization and MRI error checking, at the Department of Electrical engineering, University of Washington, Seattle, WA.
http://www.ee.washington.edu/research/compbe/

Extractions: Our group at the University of Washington is involved in computer modeling of the electrical activity of the human heart and brain under normal and diseased conditions and developing their noninvasive medical diagnostic applications. We are also developing biomedical applications of the electromagnetic fields. Currently we are working on the following projects: From the magnetic resonance imaging data anatomically accurate 3-D computer models of the human head and torso are built for computer modeling of the electrical activity of the human heart and brain. Studies are being conducted on developing efficient adaptive finite element models to quickly solve the voltage and current distribution in the whole and torso on desk-top workstations. This requires developing efficient and automatic image segmentation techniques, finite element modeling techniques and techniques for solving large matrices. From the measured electric or magnetic field data one needs to reconstruct the current distribution in the heart wall or localize the sites of the electrical activity in the brain. This requires solving the under-determined inverse problem by use of numerical optimization techniques, artificial neural networks and a combination of signal and image processing techniques. Currently we are developing techniques to solve the bioelectric and biomagnetic inverse problem in an integrated fashion to better localize the sites of the electrical activity in the brain with a mm size resolution.
U. Louisville Mechanical Engineering Department
computational Fluid Dynamics Laboratory.
http://www.louisville.edu/speed/mechanical/facility/cfd_lab.htm

Extractions: Computational Fluid Dynamics Laboratory - VB 203 The Computational Fluid Dynamics (CFD) Laboratory was established in 1997 by Prof. Timothy E. Dowling, an Associate Professor of Mechanical Engineering. Professor Dowling's research specialty is numerically modeling the atmospheric dynamics and thermodynamics of the gas giant planets (Jupiter, Saturn, Uranus, and Neptune). He is the author of a general circulation model (GCM) for planetary studies called the Explicit Planetary Isentropic-Coordinate ( EPIC ) atmospheric model. The EPIC model runs on distributed-memory parallel computers using the Message Passing Interface ( MPI ) standard, which is a freely available suite of library routines that allows one to turn any Unix computer cluster into a parallel computer. Using NASA funding, Professor Dowling has acquired an 8-processor (4-dual processor Pentium-II boards) Beowulf parallel computer that is dedicated to running EPIC model simulations. The operating system is Linux, a free version of Unix that runs on PC hardware and is well supported. The processors are connected by a fast ethernet (100 Mbps) switch. The CPU total is 2600 MHz, and the system was designed and built for less than $20,000 by Perijove Systems . (This price/performance ratio is remarkable considering that the system is faster than a 512-node nCUBE 2 machine used at MIT for similar simulations, which was purchased in the early 1990's for a million dollars. )

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