Data analytics & Information Systems (dais) Division best Student Paper Competition Winners
2022 Winner
1st Place
Lingchao Mao
Georgia Institute of Technology
"Weakly Supervised Transfer Learning with Application in Precision Medicine"
2021 Winner
1st Place
Hui Wu
Tsinghua University, China
"Clustering Spatially Correlated Functional Data with Multiple Scalar Covariates"
2020 Winners
1st Place (Tie)
Lujia Wang, Georgia Institute of Technology
Jing Li, Arizona State University
Andrea Hawkins, Leland Hu and Kristin Swanson
Mayo Clinic Arizona
"Knowledge-infused Global-local Data Fusion for Spatial Molecular Characterization in Precision Medicine"
1st Place (Tie)
Cheol Hei Lee, Xiaowei Yue
Virginia Tech
Wenjia Wang, Duke University
Jianguo Wu, Peking University
"Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly"
2019 Winner
Jialei Chen
Georgia Institute of Technology
"A Functional-input, Functional-output Emulation Model for Efficient Tissue-mimicking via 3D-printed Metamaterial"
2018 Winner
Haluk Damgacioglu
University of Miami
"MR2: A Two-stage Feature Selection Algorithm in High-throughput Methylation Data for Max-relevance and Min-redundancy"
2017 Winner
Mohammed Aladeemy
Binghamton University
"A mathematical Programming Approach for Relocation Planning of Data Centers."
2016
Not awarded.
2015 Winner
Mehrad Bastani, Aristotelis Thanos and Gregory Collins
University of Miami
"A Voronoi-based Genetic Algorithm for Waste Collection Vehicle Routing Problem"
2014 Winner
Gang Liu
University of South Florida
"Self-organized Recurrence Networks"
2013 Winner
Inki Kim
The Pennsylvania State University
"Analytic Scheme to Organize Large Archived Data into Hierarchical Affinity"
2012 Winner
Chaoyue Zhao
University of Florida
"Two-stage Robust Optimization for Power Grid with Uncertain Demand Response"
2011 Winner
Akkarapol Sa-ngasoongsong
Oklahoma State University
"Willingness-to-pay Prediction Based on Empirical Mode Decomposition"
2010 Winner
Trung Le
Oklahoma State University
"Real-time Modeling of Cardiovascular Dynamics using Electrocardiogram-based Activation Functions"