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Center for Advanced Knowledge Enablement (CAKE)

Center Overview

The Center for Advanced Knowledge Enablement (CAKE) studies the representation, management, storage, analysis, search, and social aspects of large and complex data. The research is applicable to many fields including biomedicine, defense, disaster mitigation, homeland security, environmental science, real estate, health records management, finance, and technology service. CAKE faculty members carry out research in performance studies, benchmark evaluations, and the application of novel algorithms, routines, data models, network analyses, and software tools to large-scale datasets.

Unprecedented volumes of data have been generated by the explosive growth in the number and resolution of sensors and scientific instruments, in the number of enterprise and scientific databases, and in the volume of internet traffic and activity. The frameworks, metadata structures, algorithms, datasets, and search and data-mining solutions being used to manage the volumes of data are largely ad hoc. The research being carried out in this area and more broadly in information technology underpins advances in virtually every other area of science and technology and provides new capacity for economic productivity.

Universities

Florida Atlantic University

View Center Website

Center Personnel

Borko Furht
Center Staff
+1 561 297 0777
borko@cse.fau.edu

Research Focus

Application of common machine-learning algorithms for use cases in auto industry

This project leverages machine learning and JM Family Enterprises' data sources to enable better decisions and smart actions in identified business domains and use cases. Currently, machine learning is not used in these targeted areas even though the potential benefits may be significant.

Automatic asset identification in data centers

CAKE developed an innovative solution for visual asset identification using visual features of an image. Visual features of asset images are computed using complex mathematical methods. These visual features are used to identify and match asset images.

Brain research: instrumentation, neuroimaging, and curative protocols for neurological disorders

This project develops multimodal imaging designs for diagnosis and curative/therapeutic interventions, integrating hardware designs with software algorithms that exploit space and time alignments, as well as multidimensional pattern classification and decision schemes.

Driver's drowsiness detection system

CAKE has developed and implemented a driver-drowsiness detection system based on visual input, such as the driver's face and head. CAKE's innovative algorithm combines software components for face detection, and the classification algorithm for the eye state (open versus closed eyes).

Geospatial monitoring of moving objects

This research involves TerraFly moving object and sensor modules enabling cloud storage and map-synchronized playback of videos and stills recorded by moving cameras (mounted on a car or airborne), real-time geolocated streams, tracking, navigation, and simulation of moving objects.

Gesture recognition for augmented and virtual reality

This research project develops methodologies for comprehensive, real-time gesture detection that uses multitouch inputs and is capable of additional inputs, such as motion- and vision-based systems.

Medical image analysis using deep-learning techniques

There are many relevant open problems in medical imaging for which the human expert (e.g., physician, radiologist) could benefit from intelligent tools, implemented using the latest trend in artificial intelligence, which CAKE is researching: deep-learning methods.

Modeling garage parking

CAKE is proposing a system that will recommend available parking in controlled-access parking sites to individual drivers. The system will offer real-time and predictive advice on which parking garage and which area of that garage to park in.

System for early melanoma detection

CAKE's system can detect melanoma early. Melanoma, also known as malignant melanoma, is a type of skin cancer caused by abnormal multiplication of pigment-producing cells. When left undiagnosed, melanoma is a particularly fatal form of skin cancer.

Travel assistance for people with disabilities

CAKE is studying the feasibility of designing and developing an automated, human-assisted transportation concierge system that would provide pre-travel and en-route traveler guidance, recommendations, and concierge services. The system would be designed for people with cognitive impairments, low vision, hearing impairments, or mobility impairments.

Awards

2231200

IUCRC Phase III + Florida Atlantic University: Center for Advanced Knowledge Enablement

The CAKE Center is successfully building a bridge linking academia, industry, and government in a coordinated research initiative, in response to the needs of this region. The Center has the critical mass to serve the information technology industry and to help South Florida IT mature into the top tier. The research focus of the Center is in the field of advanced knowledge enablement with the focus on areas of big data analytics, multimedia and data mining, video and multimedia processing, and cloud computing systems, sensors and networks. Research projects are interdisciplinary in nature with focus on applications in medicine and healthcare, the environment, and other industries. The Center’s mission is to accomplish the following goals: (1) to continuously evolve an understanding of the technology needs of the industry sector through direct contact with industry professionals and related corporations; (2) to identify applied research themes that meet the needs of private and public sectors; and (3) to conduct industry-relevant research.

Center’s research agenda includes the creation of new technologies for various web-based applications, next generation hardware and software development techniques and tools, mobile and wireless systems and technologies, video compression and communication technologies and systems, networking and communication systems, data mining and machine learning technologies, and various interdisciplinary initiatives, and applications including medical systems and healthcare informatics.

Research outcomes are applicable to many fields, including national defense and homeland security, healthcare, biomedical science, environmental science, entertainment, finance, and technology services.

The results of the projects will provide benefits to society in various application areas including medical, healthcare, environmental, public, and others. Proposed research roadmap for Phase III will continue to have an interdisciplinary focus. Educational activities include, reaching out to women, minorities, and underrepresented groups. FAU has a large Under-Represented Minority population, and it is ranked as the most diverse public university in Florida. As IUCRC CAKE continues to grow, the Center will build a cohesive structure spanning multiple institutions by enabling extended research visits for both faculty and graduate students.

As part of the program, we will document and describe the process of developing systems and software for individual projects. We will maintain a project repository including data, code, simulators, results of all projects, etc. on a single Center-wide repository for a period of ten years.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >

Member Organizations

IUCRC affiliated member organizations are displayed as submitted by the Center. Non-federal organizations are not selected, approved, or otherwise endorsed by the U.S. National Science Foundation.

Advanced Computer Corporation
ATOS Corporation
AventuSoft
Emerson Network Power
Eyecast
GoAwake
ILS/Telit
International Hindu University
JM Family Enterprises (formerly JM Smucker Co)
Levine Family Foundation
LexisNexis
Motorola
Noa
OP Solutions
Soren Technology
Tecore Networks
Tellus
Vlatacom
World Omni Financial Corp.

The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.