Managing and processing large volumes of data, or “Big Data,” and gaining meaningful insights is a significant challenge facing the distributed computing community. As a consequence, many businesses are demanding large-scale streaming data analytics. This has a significant impact on a wide range of domains, including healthcare, biomedical research, Internet searches, finance and business informatics, and scientific computing.
Despite considerable progress in high performance, storage capacity, and computation power, challenges remain in identifying, clustering, classifying, and interpreting a broad spectrum of information.

Today’s military analysts are also faced with the monumental and escalating task of handling massive volumes of complex data from multiple sources. To enhance their ability to more effectively and efficiently process data, a multidisciplinary team of researchers from Prairie View A&M University’s Roy G. Perry College of Engineering has hosted workshops to focus on resolving the security and speed of mission-critical big data analytics, while keeping cost minimal to the user.

The third Mission-Critical Big Data Analytics workshop (MCBDA 2018) will take place on May 15-16, 2018 on the main campus of Prairie View A&M University, where experts from around the world are anticipated to convene and share technical presentations, knowledge and research results.

This year’s workshop will cover the state-of-the-art research and development in deep learning and high-performance computing for big data analytics, especially for mission-critical applications. There will be multiple renowned keynote speakers and tutorial sessions with hands-on training:

Dr. Barbara Chapman, Professor at Stony Brook University, and Head of the Computer Science and Mathematics Group at Brookhaven National Lab
Dr. Jaret Riddick, Director, Vehicle Technology Directorate, US Army Research Lab (ARL)
Theresa Kushner, Senior Vice President, Business Intelligence, Dell

In response to the military’s needs, the university’s researchers established the ‘Center of Excellence in Research Education for big military Date InTelligence’ (CREDIT). The center’s mission is to accelerate research and education in predictive analytics for science and engineering to transform our ability to adequately address and solve many complex problems posed by big data.

The center will bring together sensing, perception, and decision support for mission-critical applications with the United States Department of Defense (DoD) labs, other government agencies and businesses to focus on research data analysis and education and training students to become data scientists and engineers in the future data-centric economy and also contribute to DoD missions.

Research works of cutting-edge research topics in ‘big data’ will be presented, plus a poster session and a demo session where students will present their works.

“Big Data” is a term for data collections so large or complex that traditional data processing applications aren’t sufficient to process them. The term “Big Data” is referred to using predictive analytics, and is often related to user behavior analytics, or other advanced data analysis methods. This is especially true for the huge amount of Earth Observation data that satellites constantly orbiting the earth transmit daily.

The two-day mission-critical big data analytics workshop will cover the state-of-the-art research and development in big data analytics, especially for mission-critical applications.

To register for the 3rd Workshop of Mission-Critical Big Data Analytics (MCBDA 2018), visit MCBDA 2018 Registration.

 

Author:  Maurice Perkins