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University of Arkansas at Little Rock - 2016

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Research Description

Research Description By Graduate Engineering Department

Computer Science

Department of Computer Science has research thrust in Information Assurance, Computational Medicine, High-Performance Computing, and Mobile Computing.
Information Assurance - Our research in Information Assurance includes Applied Cryptography, Computer System Security, Cyber Operations, Digital Forensics, Security and Privacy in Cloud Computing, Software Security, and Wireless Network Security.
Computational Medicine - Our research in Computational Medicine includes Data Mining of Uncertain Databases, Privacy-Preserving Biomedical Data Processing, Probabilistic Frequent Pattern Mining, Protein Structure Prediction, and Tool Development for Diagnosis and Treatment.
High-Performance Computing - Our research in High-Performance Computing includes Analysis and Design of Algorithms, Distributed Software Engineering, Dynamic Programming, Heterogeneous and Distributed Programming, Parallel Design Patterns, and Parallel Programming.
Mobile Computing - Our research in Interactive and Mobile Computing includes Collective Intelligence, Game/Mobile App Development, Gaming and Interactive Media, Security in Mobile Devices, and Use of Games and Mobile Apps to Increase Quality of Life.

Construction Management and Civil and Construction Engineering

The MS in Construction Management Develops upper level management personnel for the construction industry, while helping students to pass the Certified Professional Constructor (CPC) exam administered by the American Institute of Constructors (AIC).

Information Science

The Department of Information Science seeks to expand human and technical capabilities through information in a world where information is of central importance to personal, organizational, social, political, technical, and economic progress. Information Science makes sense of the data that people gather through information technology. The programs that reside in the Department of Information Science focus on the transformation of data to information and knowledge, to intelligence and application, and on the technologies and systems that store and access the data in ways that impart its meaning.

Systems Engineering

Systems engineering can be broadly defined as the relational, people-oriented engineering profession that brings together all the fields of engineering into a fascinating, big picture perspective. As an example, an engineer, who desires to build a robot, requires knowledge of mechanical, electrical, computer and software engineering. With the addition of wireless and telecommunications capabilities, a team of multiple robots can be coordinated to emulate human teamwork and accomplish a much greater variety of complex operations. As systems become more complex than a robot such as an airplane, a complex telecommunications network, a computer network, or a space shuttle, the knowledge required of engineers becomes quite diverse and encompasses a wide variety of engineering disciplines. Systems Engineers, besides acquiring specialized skills in an Engineering discipline, also acquire the ability to lead a team of engineers with diverse skills and to coordinate and manage the design of large and complex systems.

Research Description By Engineering Research Center

Center for Integrative Nanotechnology Sciences

The Center for Integrative Nanotechnology Sciences (CINS) at the University of Arkansas at Little Rock provides the analytical capabilities essential to today’s science and engineering related to nanotechnology. Our center is composed of instruments with emphasis to the structural and chemical composition analysis of nanotechnology related materials.

CINS is a collaborative research center open to researchers from universities, government laboratories, and industry by providing the opportunity to access major instruments in the areas of electron microscopy, scanning probe microscopy, X-ray diffraction, and optical spectroscopy. CINS is a unique resource in the state of Arkansas representing an outstanding opportunity to help solve your nanotechnology related materials problems.

Emerging Analytics Center

The George W. Donaghey Emerging Analytics Center™ (EAC) at the University of Arkansas in Little Rock (UALR) is a research center that houses an energetic group of faculty, researchers, and students performing innovative research in technology, infrastructure and applications for virtual reality, visualization, and interactive technologies. The UALR EAC was founded thanks to a generous grant from the George W. Donaghey Foundation. Its mission is to be a focus of applied research expertise and technology knowledge in the areas of immersive and interactive visualization for complex and big data applied to practical problems in industry, government, and research organizations.

EAC’s Work is centered on interdisciplinary projects and it covers a wide range of topics from the development and use of large-scale one-of-a-kind systems to every day portable technologies such as smart phones, glasses and tablets as well as pioneering applications for these technologies in many disciplines and markets.

EAC’s Projects are in areas such as large data visualization, data analytics, training environments, software architectures for visualization and virtual reality, technology development, modeling and simulation, museum installations, and tech-transfer to many of our sponsors and collaborators.

EAC is the strategic partner that brings strong applied research expertise in modeling and simulation, visualization, and systems integration through a dynamic team of multidisciplinary UALR faculty, creative research scientists, and motivated students.

EAC’s Team at UALR is focused on a broad mission of innovative economic development for the future of Arkansas and our nation.

UALR Computational Research Center

The UALR Computational Research Center (CRC) is dedicated to the promotion of efficiency, productivity, and accuracy in research through the use of significant and diverse computing resources. No single computing platform, regardless of size, is appropriate for all computational problems, and there are many reasons for this: Some problems are memory bound, some are I/O intensive, while still others are CPU constrained; many researchers work exclusively on UNIX or Linux platforms, others use Microsoft operating systems and applications; some are well versed in programming and have no problem with parallelizing their code, some are more comfortable with point and click out-of-the-box applications, and others simply do not have the time to modify straight code for multi-core/multi-node functionality. Here at the CRC, we are well aware of this diversity within the research community and have built a facility to serve and address the varied computational requirements of this environment. Our offerings are unique to Arkansas and bring a new level of computing capacity and capability to education, corporate, and government research organizations.