Workshop on Data Science: A Unified Vision towards Structured and Unstructured Data Analysis
Abstract
Following the March 2012 White House announcement of the Big Data Research and Development Initiative to mobilize the research and development enterprise towards Data analytics for solving some of the nation s most pressing challenges, we propose a workshop solely dedicated to Data Science with all its variations. Despite its recent highly publicized potential, its future impact is likely underestimated. The related applications in Engineering and Applied Sciences engages a very large number of research communities from Signal processing and machine Learning to Statistics and Applied Mathematics to other Engineering disciplines in Nuclear and Environmental Sciences. The tenor of the challenges span the creative algorithmic solutions to real difficult problems, to the arising numerical complexities often required for the viability of the latter. This wide interest involving a wealth of perspectives on the theoretical issues, also highlights the potential for collaborative and insightful research efforts which may arise as a result. This need to coalesce a wide array of perspectives and hence establish a common dialog for cross-fertilizing ideas on the future course of research in the area, is central to the Workshop proposed herein. Data analytics include multidimensional signal analytics (imaging, and multisensor processing, optimization) that build upon a signals and systems fabric, and systems engineering is sure to play an important role in designing and deploying principled, distributed, fault-tolerant solutions to many emerging large data-driven problems for DOD and for other civilian partners such as NIH, NSF who are inherently interested in the same general methodologies. Recognizing the need to engage these communities, a workshop entitled "Data Science: A Tale of Structured and Unstructured Data Analysis" is proposed. Our plan is to bring together signal processing scientists and engineers, computer and information scientists, applied mathematicians and statisticians, as well as systems engineers to carve out the role that analytical and experimental methodologies could play in Data Science research and development. Such a workshop will be unique in emphasizing the state of the art techniques as well as signal analytics and aspects of Data. Time is of essence, as the premise is to engage the engineering community and help shape up research directions for the next few years.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710415
Entities
People
- Hamid Krim
Organizations
- Army Contracting Command
- North Carolina State University
- United States Army