institutes, centers, consortiums and programs
Institute for Computing and Information Science and Engineering
The Institute for Computing, Information Sciences and Engineering (InCISE) fosters computer science and applications of data acquisition, analysis, and management, security, modeling, visualization, and interpretation in interdisciplinary research, education and entrepreneurship. InCISE has successfully fostered inter and trans disciplinary research using this informatics and computer science foundation, and has led to creation of a new School of Computing and Informatics, composed of Computer Science and Biomedical Informatics Departments and a new program in Informatics. InCISE researchers and investments produced a Return on Investment (ROI) of 2.27 in FY 07, and generated over $1M in indirect cost from $2.5M Awards.
The research foci of the new School of Computing and Informatics align well with the mission of InCISE and its efforts to leverage selective investments in collaborative, interdisciplinary projects that build partnerships between researchers, improve visibility with funding agencies, and produce successful larger scale collaborative proposals that would not be possible using traditional approaches which emphasize individual researchers.
Center for Cognitive Ubiquitous Computing
The overall mission of CUbiC is to design and develop a wearable perceptive computer that perceives and experiences its environment in terms of human concepts, and also shares that environmental experience with the person who is wearing it. Since this perceptive computer represents information in terms of human concepts, it can readily communicate with a human user at the conceptual level, allowing that user and the computer to solve real-world problems in a collaborative manner. This collaborative approach to problem solving is based on the hypothesis that the best way to solve novel problems (such as those encountered in day-to-day life) is with a balanced technology and user-centric approach with the focus on the needs of the human user. The Haptics Research Group is conducting research on development of haptic user interfaces for assistance rehabilitation and learning.
Center for Health Information and Research
The Center for Health Information and Research (CHIR) is a research arm of the School of Computing and Informatics in Arizona State University’s Ira A. Fulton School of Engineering. CHIR is a multidisciplinary team whose focus includes health care, clinical quality, the health care workforce, occupational illness and injury, medical malpractice, health care economics and disability. CHIR is home of the Arizona HealthQuery (AZHQ), a community-university partnership, created by the voluntary participation of health care providers, insurers and employers in Arizona. AZHQ is a community health warehouse containing health information on millions of Arizona residents.
Center for Decision Making and Cognition
The Center is a multidisciplinary research unit devoted to the study of medical decision-making, cognitive foundations of health behaviors, and the effective use of computer-based information technologies. The research is steeped in theories and methods of cognitive science, with a particular focus on the analysis of medical error, models of naturalistic decision-making, development and use of clinical guidelines, and evaluation of human-computer interactions. These studies are guided by a concern for improving performance of individuals and teams in the healthcare system. Towards this end, we focus on the cognitive characteristics involved in learning, instruction, and in the design of decision-support and other health information technologies for safe use in clinical environments.
The Fulton High Performance Computing Center
The Fulton High Performance Computing Initiative (HPCI) serves as the hub for parallel and grid scientific computing on the Arizona State University (ASU) Tempe campus, maintaining centrally managed high performance computing systems for more than 1,000 processors across campus. The Fulton HPCI provides state of the art machine room facilities, system administration, expertise in parallelization of scientific and engineering codes and training to ASU researchers.
Led by Dr. Dan Stanzione, the mission of the HPCI is to maximize the utility of high-end computing resources deployed by ASU researchers. The HPCI currently collaborates with more than 70 faculty across the engineering disciplines, with industry partners as well as with other ASU Initiatives, including the Decision Theater and the Biodesign Institute.
Center for Information Assurance
The Information Assurance (IA) program addresses the broad issues of developing trustworthy information systems (TIS), on which people can rely on storing, processing and transmitting information over networks. The IA program has attracted more than 20 faculty members from several departments. Current research activities involve foundational, network, system and application aspects of developing TIS, including logic, languages and tools for development of secure systems; TIS composition methods; ways to measure, model, analyze, verify and test TIS; steganography; survivable network design; anonymous and secure network routing; dynamic and deterministic Quality of Service management; data mining for security, privacy in data management; and situation-awareness.
Partnership for Research in Spatial Modeling
The Partnership for Research in Spatial Modeling (PRISM) has a history of collaborative partnerships that center around how to develop, capture, model, analyze and interact with three-dimensional data.
PRISM leads the modeling and visualization research within InCISE and brings together researchers from computer science, the arts and design, life sciences, social sciences and engineering in a unique, interdisciplinary laboratory.
PRISM researchers work with large, complex data sets from scanning devices such as 3D laser scanners, optical facial scanners, confocal and scanning probe microscopes, MRI and CAT scanners or other sources of surface and volumetric geometry as x, y and z coordinates. 3D algorithms and software created by PRISM researchers allow users to accurately model and automatically segment, extract, measure and analyze features of interest to discipline researchers. The computer-aided geometric design (CAGD) modeling and analytic tools developed at PRISM apply to surfaces and volumes within complex data sets regardless of scale.
Consortium for Embedded Systems
The Consortium for Embedded Systems (CES) was established in January 2001 as an Industry/University partnership dedicated to developing a globally recognized center for embedded technologies.
The charter members of CES are Arizona State University, Intel Corporation and Motorola Incorporated, who have been working together to build an eco-system of knowledge and expertise in embedded systems. CES programs have provided direct industry involvement and feedback towards initiating faculty research projects, improved curriculum and laboratories, as well as providing students with access to real-world work experiences while obtaining their degree.
Arts, Media and Engineering Program
At Arizona State University, engineering, arts and science disciplines involved in media research and training have come together to create the Arts, Media and Engineering Program (AME).
The program’s mission is research and education in the integrated development of media systems. AME’s specialized focus is the study and development of experiential media systems. These are defined as systems that integrate computation and digital media with the physical-human experience to produce enhanced physical-digital experiences.
Enabling Technologies for Intelligent Information Integration Program
Enabling Technologies for Intelligent Information Integration, or ET-I3, is a collaborative program that addresses the challenge of information integration.
ET-I3 is developing enabling integration technologies for scalable “Do What I Mean” (DWIM) processing for sources and services over the Internet. DWIM-integration involves using the higher-level information goals of the user to decide what sources and services on the available information web are directly or indirectly relevant. After accessing these sources, the system efficiently composes the relevant services to answer requests. Technologies to support DWIM-integration will be critically important for high-profile areas, such as bioinformatics and ebusiness, and useful in other disciplines.