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Electrical and computer engineering
Derek Anderson
Jenny Q. Du
James E. Fowler
Yong Fu
Roger King
Yu Luo
Bo Tang
Nicolas H. Younan
Computer science and engineering
Eric Hansen
T. J. Jankun-Kelly
Andy Perkins
Song Zhang
Geosciences
Qingmin Meng
Industrial and systems engineering
Linkan Bian
Mohammad Marufuzzaman
Civil and environmental engineering
Seamus Freyne
Social Science Research Center
Somya Mohanty
College of Education
Stamatis Agiovlasitis
USDA-ARS
Chenghai Yang
Yanbo Huang
Agricultural and biological engineering
Ganesh Bora
Yang Zhao
Big Data presents unprecedented opportunities for improving the understanding about natural environment and human activities to make smarter decisions. The aim of this workshop is to bring together signal and information processing researchers, applied mathematicians and statisticians and systems engineers to determine the role that analytical and experimental engineering has to play in Big Data research and development. It is anticipated that meetings organized by this working group provide forums that will inspire the advancement of scientific and technological means in managing, analyzing, visualizing and extracting useful information from large, diverse, distributed and heterogeneous data sets.
Meeting in April 2019 (April 18, 2019, Simrall 228)
“Network, flow, and computational social science” – Xinyue Ye
Meeting in November 2018 (November 6, 2018, Simrall 228)
“Sustainable wireless communications and networking for Internet of Things” – Yu Luo
Lunch Meeting in May 2018 (May 10, 2018, Simrall 104)
“Transfer Learning for Limited Supervision Problems” – Bo Tang
Lunch Meeting in April 2018 (April 10, 2018, Simrall 104)
“Deep Spectroscopic Learning” – Mario Parente
Lunch Meeting in November 2017 (November 27, 2017, Simrall 228)
“Microwave Remote Sensing of Environment via Signals of Opportunity” – Mehmet Kurum
Lunch Meeting in May 2017 (May 11, 2017, Simrall 228)
“Image processing and precision agriculture” – Ganesh Bora
Lunch Meeting in March 2017 (March 22, 2017, Simrall 228)
“Agricultural Remote Sensing and Big Data Management” – Yangbo Huang
Lunch Meeting in November 2016 (November 29, 2016, Simrall 228)
“Algorithms to Solve Large Scale Stochastic Programming Problems” – Mohammad Marufuzzaman
Meeting in August 2016 (August 31, 2016, Simrall 104)
“Hyperspectral Data Classification via Shallow to Deep Neural Networks” – Mingyi He
Lunch meeting in April 2016 (April 12, 2016, Simrall 228)
"Experiences from implementing big data solutions in teaching and research" - Adrian Barb
Meeting in March 2016 (March 30, 2016, 1:30 pm, Simrall 104)
“Hierarchical analysis of multimodal data” – Jocelyn Chanussot
Lunch meeting in February 2016 (February 22, 2016, Simrall 228)
“Big data and data analytics - undiscovered insights” – Roger King
Lunch meeting in December 2015 (December 1, 2015, Simrall 228)
“Large-scale power system optimization” – Yong Fu
Lunch meeting in April 2015 (April 27, 2015, Simrall 228)
"Large-scale remote sensing image standardization" - Qingmin Meng
Lunch meeting in March 2015 (Mar. 30, 2015, Simrall 228)
"Big data research for social sciences" - Somya Mohanty
Lunch meeting in February 2015 (Feb. 27, 2015, Simrall 104)
"Night Vision Colorization Techniques Using Multispectral Imagery" - Yufeng Zheng (Alcorn State Univ.)
Lunch meeting in October 2014 (Oct. 27, 2014 Simrall 104)
"NIH Big Data to Knowledge (BD@K) Initiative"
Lunch meeting in April 2014 (April 21, 2014, Simrall 228)
"Big data visualization" - Dr. Song Zhang
Lunch meeting in April 2014 (April 7, 2014, Simrall 228)
Stochastic Modeling and Prognostic Analysis of Complex Systems Using Condition-Based Sensor Signals" - Dr. Linkan Bian
Lunch meeting in February 2014 (Feb. 14, 2014, Simrall 228)
"Dimensionality reduction of hyperspectral remote sensing imagery" - Dr. Jenny Q. Du
Lunch meeting in November 2013 (Nov. 12, 2013, Simrall 228)
“Radar signal processing” – Dr. John Ball
Anyone who is interested in this working group may participate. Please contact Dr. Jenny Q. Du at du@ece.msstate.edu if you want to be added to the mailing list.