Part of the Institute of Computing and Cybersystems, the Center for Data Sciences (DataS) focuses on the research of data sciences education, algorithms, mathematics, and applications. DataS fosters interdisciplinary collaborations by bringing together diverse faculty and students from varied disciplines to discover new knowledge and exciting research opportunities in the field of data sciences.
Peruse a selection of publications from the Center for Data Sciences below. Visit the ICC homepage for more information about the Institute and its Centers.
Works from 2022
A novel sequential method to train physics informed neural networks for Allen Cahn and Cahn Hilliard equations, Revanth Mattey and Susanta Ghosh
Works from 2019
Revisionist integral deferred correction with adaptive step-size control, Andrew Christlieb, Colin B. Macdonald, Benjamin W. Ong, and Raymond J. Spiteri
He said, she said: Communication theory of identity and the challenges men face in the information systems workplace, Cynthia K. Riemenschneider, Mari W. Buche, and Deborah J. Armstrong
Works from 2018
Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with state-of-the-art ensemble algorithms, Utkarsh Agrawal, Anthony Pinar, Christian Wagner, Timothy C. Havens, Daniele Soria, and Jonathan M. Gribaldi
Mitigating Turnover Intentions: Are All IT Workers Warriors?, Deborah Armstrong, Cindy Riemenschneider, Mari W. Buche, and Kenneth R. Armstrong
Stabilisation of iron mine tailings through biocalcification, Noah D. Buikema, Bonnie Zwissler, Eric A. Seagren, Thomas Oommen, and Stanley Vitton
mPart: miss-ratio curve guided partitioning in key-value stores, Daniel Byrne, Nilufer Onder, and Zhenlin Wang
An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays, Ian Thomas Cummings, Timothy J. Schulz, Jonathan Doane, and Timothy C. Havens
Fuzzy adaptive extended Kalman filter for robot 3D pose estimation, Hanieh Deilamsalehy and Timothy C. Havens
Risk Assesment, Rüdiger Escobar Wolf, El Hachemi Y. Bouali, and Thomas Oommen
TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction, Chathura J. Gunasekara, Kui Zhang, Wenping Deng, Laura E. Brown, and Hairong Wei
Generating random fuzzy (capacity) measures for data fusion simulations, Timothy C. Havens and Anthony Pinar
Efficient binary fuzzy measure representation and Choquet integral learning, Muhammad Aminul Islam, Derek Anderson, Xiaoxiao Du, Timothy C. Havens, and Christian Wagner
Growth performance, organ-level ionic relations and organic osmoregulation of Elaeagnus angustifolia in response to salt stress, Zhengxiang Liu, Jiangfeng Zhu, Xiuyan Yang, Haiwen Wu, Qi Wei, Hairong Wei, and Huaxin Zhang
The Effect of poplar PsnGS1.2 overexpression on growth, secondary cell wall, and fiber characteristics in tobacco, Tingting Lu, Lulu Liu, Minjing Wei, Yingying Liu, Zianshang Qu, Chuanping Yang, Hairong Wei, and Zhigang Wei
Liquefaction, Thomas Oommen
Surveying, Thomas Oommen
Public perceptions towards oil palm cultivation in Tabasco, Mexico, Erin Pischke, Mark Rouleau, and Kathleen E. Halvorsen
Photogrammetry, K. S. Sajinkumar and Thomas Oommen
Sensor relocation for improved target tracking, Husam Sweidan and Timothy C. Havens
Works from 2017
Imaging through turbulence: A light-field approach, Jeremy P. Bos
Differential piston phase variance in non-Kolmogorov atmospheres, Jeremy P. Bos, Rao Gudimetla, and Jason D. Schmidt
Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry, El Hachemi Y. Bouali, Thomas Oommen, and Rüdiger Escobar Wolf
Structure mapping through spatial and temporal deformation monitoring using persistent scatterer interferometry and geographic information systems, El Hachemi Y. Bouali, Thomas Oommen, and Rüdiger Escobar-Wolf
Sensor fusion of wayside visible and thermal imagery for rail car wheel and bearing damage detection, Hanieh Deilamsalehy, Timothy C. Havens, and Pasi T. Lautala
Unmanned aerial vehicle (UAV)-based assessment of concrete bridge deck delamination using thermal and visible camera sensors: A preliminary Analysis, Rüdiger Escobar Wolf, Thomas Oommen, Colin Brooks, Richard Dobson, and Theresa Ahlborn
Effect of label noise on the machine-learned classification of earthquake damage, Jared Frank, Umaa Rebbapragada, James Bialas, Thomas Oommen, and Timothy C. Havens
Efficient modeling and representation of agreement in interval-valued data, Timothy C. Havens, Christian Wagner, and Derek Anderson
Monitoring and modeling tailings impoundment settlement near Great Salt Lake (UTAH) using multi-platform time-series InSAR observations, Xie Hu, Zhong Lu, Thomas Oommen, Teng Wang, and Jinwoo Kim
Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites, Xie Hu, Thomas Oommen, Zhong Lu, Teng Wang, and Jin-Woo Kim
Novel similarity measure for interval-valued data based on overlapping ratio, Shaily Kabir, Christian Wagner, Timothy C. Havens, Derek Anderson, and Uwe Aickelin
Machine learning based predictive modeling of debris flow probability following wildfire in the intermountain western United States, Ashley Kern, Priscilla Addison, Thomas Oommen, Sean Salazar, and Richard Coffman
A comparative analysis of pixel- and object-based detection of landslides from very high-resolution images, Ren N. Keyport, Thomas Oommen, Tapas R. Martha, K. S. Sajinkumar, and John S. Gierke
Early warning system for shallow landslides using rainfall threshold and slope stability analysis, Shruti Naidu, K. S. Sajinkumar, Thomas Oommen, V.J. Anuja, Rinu Samuel, and C. Muraleedharan
Three hundred and sixty degree real-time monitoring of 3-D printing using computer analysis of two camera views, Siranee Nuchitprasitchai, Michael C. Roggemann, and Joshua M. Pearce
Pipeline implementations of Neumann–Neumann and Dirichlet–Neumann waveform relaxation methods, Benjamin W. Ong and Bankim Mandal
Significance of variable selection and scaling issues for probabilistic modeling of rainfall-induced landslide susceptibility, Thomas Oommen, Patrice F. Cobin, John S. Gierke, and K. S. Sajinkumar
Measures of the Shapley index for learning lower complexity fuzzy integrals, Anthony Pinar, Derek T. Anderson, Timothy C. Havens, Alina Zare, and Titilope Adeyeba
Visualization and learning of the Choquet integral with limited training data, Anthony Pinar, Timothy C. Havens, Muhammad Aminul Islam, and Derek Anderson
Enrollment decision-making in U.S. forestry and related natural resource degree programs, Mark Rouleau, Terry Sharik, Samantha Whitens, and Adam Wellstead
Piston alignment for a segmented-aperture imaging system by using piston-sweep phasing, Timothy J. Schulz and Richard G. Paxman
Switching reconfiguration of fraud detection within an electrical distribution network, Yachen Tang, Chee-Wooi Ten, and Laura E. Brown
The arithmetic recursive average as an instance of the recursive weighted power mean, Christian Wagner, Timothy C. Havens, and Derek Anderson
To Fear or Not to Fear? A Critical Review and Analysis of Fear Appeals in the Information Security Context, Jeffrey D. Wall and Mari W. Buche
Thermal remote sensing for moisture content monitoring of main tailings: Laboratory study, Bonnie Zwissler, Thomas Oommen, Stanley Vitton, and Eric A. Seagren
Works from 2016
Utilizing vegetation indices as a proxy to characterize the stability of a railway embankment in a permafrost region, Priscilla Addison, Pasi T. Lautala, and Thomas Oommen
Fuzzy Choquet integration of homogeneous possibility and probability distributions, Derek Anderson, Paul Elmore, and Timothy C. Havens
Object-based classification of earthquake damage from high-resolution optical imagery using machine learning, James Bialas, Thomas Oommen, Umaa Rebbapragada, and Eugene Levin
Empirical evaluation of the anisoplanatic bispectrum transfer function for extended objects, Jeremy P. Bos
An automatic method for detecting sliding railway wheels and hot bearings using thermal imagery, Hanieh Deilamsalehy, Timothy C. Havens, Pasi T. Lautala, Ezequiel F. Medici, and James Davis
Bottom-up GGM algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways or processes, Sapna Kupari, Wenping Deng, Chathura J. Gunasekara, Vincent Chiang, Huann-sheng Chen, Hairong Wei, and et. al.
A new family of regularized kernels for the harmonic oscillator, Benjamin W. Ong, Andrew Christlieb, and Bryan D. Quaife
Algorithm 965: RIDC methods: A family of parallel time integrators, Benjamin W. Ong, Ronald D. Haynes, and Kyle Ladd
Efficient multiple kernel classification using feature and decision level fusion, Anthony Pinar, Joseph Rice, Lequn Hu, Derek Anderson, and Timothy C. Havens
ForestSim: An Agent-Based Simulation for Bioenergy Sustainability Assessment, Mark Rouleau
Representation of clinical information in outpatient oncology for prognosis using regression, Jennifer Winikus and Laura Brown
Modularity maximization using completely positive programming, Sakineh Yazdanparast and Timothy C. Havens
Works from 2015
Insights and characterization of l1-norm based sparsity learning of a lexicographically encoded capacity vector for the Choquet integral, Titilope Adeyeba, Derek Anderson, and Timothy C. Havens
Deep belief networks for false alarm rejection in forward-looking ground-penetrating radar, John Becker, Timothy C. Havens, Anthony Pinar, and Timothy J. Schulz
Evaluating the use of unmanned aerial vehicles for transportation purposes, C. N. Brooks, Thomas Oommen, T C. Havens, Theresa M. Ahlborn, Richard Dobson, David B. Dean, B. E. Hart, Chris Roussi, Nathaniel Jesse, R. E. Wolf, Michelle Wienert, B. Stormer, and J. Behrendt
Micro-firm IT shops: update on unique challenges and opportunities, Mari W. Buche
A systems biology approach identifies new regulators of poplar root development under low nitrogen., Madhumita Dash, Yordan S Yordanov, Tatyana Georgieva, Sapna Kumari, Hairong Wei, and Victor Busov
Automatic method for detecting and categorizing train car wheel and bearing defects, Hanieh Deilamsalehy, Timothy C. Havens, and Pasi T. Lautala
Multispectral detection and tracking of multiple moving targets in cluttered urban environments, Casey D. Demars, Michael Roggemann, and Timothy C. Havens
Computational intelligence methods in forward-looking explosive hazard detection, Timothy C. Havens, Derek Anderson, Kevin Stone, and Anthony Pinar
Multi-criteria based learning of the Choquet integral using Goal programming, Muhammad Aminul Islam, Derek Anderson, and Timothy C. Havens
Survey of multi-agent systems for microgrid control, Abhilash Kantamneni, Laura Brown, Gordon G. Parker, and Wayne Weaver
Modeling cross-architecture co-tenancy performance interference, Wei Kuang, Laura E. Brown, and Zhenlin Wang
Transfer learning-based co-run scheduling for heterogeneous dataceners, Wei Kuang, Laura E. Brown, and Zhenlin Wang
A hybrid approach to clustering big data, Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, and Timothy C. Havens
GPR anomaly detection with robust principal component analysis, Matthew P. Masarik, Joseph W. Burns, Brian T. Thelen, Jack Kelly, and Timothy C. Havens
Feature and decision level fusion using multiple kernel learning and fuzzy integrals, Anthony Pinar, Timothy C. Havens, Derek Anderson, and Lequn Hu
Approach to explosive hazard detection using sensor fusion and multiple kernel learning with downward-looking GPR and EMI sensor data, Anthony Pinar, Matthew P. Masarik, Timothy C. Havens, Joseph W. Burns, Brian Thelen, and John Becker
Low-cost open-source voltage and current monitor for gas metal arc weld 3D printing, Anthony Pinar, Bas Wijnen, Gerald C. Anzalone, Timothy C. Havens, Paul G. Sanders, and Joshua M. Pearce
Fusion of iECO image descriptors for buried explosive hazard detection in forward-looking infrared imagery, Stanton R. Price, Derek Anderson, and Timothy C. Havens
An apodization approach for processing forward-looking GPR for buried target detection, Adam Webb, Timothy C. Havens, and Timothy J. Schulz
Works from 2014
Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers, Timothy C. Havens, Derek Anderson, and Christian Wagner
Quadratic program-based modularity maximization for fuzzy community detection in social networks, Jianhai Su and Timothy C. Havens
From interval-valued data to general type-2 fuzzy sets, Christian Wagner, Simon Miller, Jonathan M. Garibaldi, Derek Anderson, and Timothy C. Havens