IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System

C. I. Nacia-Macias, J. A. Guardado, J. Rodriguez, J. Rampersad-Ammons, and D. Kim

Machine-Learning-Based Model for Hurricane Storm Surge Forecasting in the Lower Laguna Madre

C. D. Hernandez, J. Ho, D. Kim, and A. Oubeidillah

Algorithms 2023, 16(5), 232

Automation and Coupling of Models for Coastal Flood Forecasting in South Texas

C. D. Hernandez, S. E. Davila, M. Flores, J. Ho, and D. Kim

Journal of Extreme Events Vol. 08, No. 04, 2250001 (2021)

Real-Time Road Hazard Information System

C. Pena-Caballero, D. Kim, A. Gonzalez, O. Castellanos, A. Cantu, and J. Ho

Infrastructures. 2020; 5(9): 75.

Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes.

A. Biswas, D. Kim, M. Kang, and J. Gao.

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2018 Jun 7.

A Multiple Radar Approach for Automatic Target Recognition of Aircraft Using Inverse Synthetic Aperture Radar.

C. Pena-Caballero, E. Cantu, J. Rodriguez, A. Gonzales, O. Castellanos, A. Cantu, M. Strait, J. Son, and D. Kim.

In Proceedings of the 1st International Conference in Data Intelligence and Security (ICDIS), pp. 24-31, 2018.

Stable solution to l2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases.

A. Biswas, D. Kim, M. Kang, C. Ding, and J. Gao.

BMC Med Genomics. 2017; 10(Suppl 5): 77.

Effects of Low Dose Ionizing Radiation on DNA Damage-caused Pathways by Reverse Phase Protein Array and Bayesian Networks.

D. Kim, M. Kang, A. Biswas, C. Yang, X. Wang, and J. Gao.

Journal of bioinformatics and computational biology (JBCB) 15, no. 02 (2017): 1750006.

Efficient Ad-Hoc Graph Inference and Matching in Biological Databases.

Xiang Lian and D. Kim.

In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD), pp. 359-373, 2017.

Identifying cis/trans-acting expression Quantitative Trait Loci.

M. Kang, D. Kim, C. Liu, and J. Gao.

International Journal of Data Mining and Bioinformatics (IJDMB) 19, no. 1 (2017): 1-18.

Multi-Block Bipartite Graph for Integrative Genomic Analysis.

M. Kang, J. Park, D. Kim, A. Biswas, C. Liu, and J. Gao.

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 14, no. 6 (2017): 1350-1358.

Integration of Multi-omics Data for Integrative Gene Regulatory Network Inference.

N. Zarayeneh, E. Ko, J.H. Oh, S. Suh, C. Liu, J. Gao, D. Kim, and M. Kang.

International Journal of Data Mining and Bioinformaticsn (IJDMB) 18, no. 3 (2017): 223-239.

Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes.

A. Biswas, D. Kim, M. Kang, J. Gao.

IEEE International Conference on Bioinformatics and Biomedicine (acceptance rate for regular papers: 19%), Shenzhen, China, Dec. 15-18, 2016.

Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders.

D. Kim, M. Kang, A. Biswas, C. Liu, and J. Gao.

BMC Medical Genomics (impact factor 2.873), 9(Suppl 2):50, 2016.

Handcrafted Microwire Regenerative Peripheral Nerve Interfaces with Wireless Neural Recording and Stimulation Capabilities.

A. Ajam, R. Hossain, N. Tasnim, L. Castanuela, R. Ramos, D. Kim, Y. Choi.

International Journal of Sensor Networks and Data Communications (impact factor: 1.41) 5, no. 133 (2016): 2.

Inferring causal molecular networks: empirical assessment through a community-based effort.

Hill, Steven M., The HPN-DREAM Consortium, et al.

Nature methods (impact factor: 32.072) 13, no. 4 (2016): 310.

Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders.

D. Kim, M. Kang, A. Biswas, C. Liu, and J. Gao.

IEEE International Conference on Bioinformatics and Biomedicine (acceptance rate for regular papers: 19% (68/346)), Washington D.C., Nov. 9-12, 2015.

An Integrative Genomic Study for Multimodal Genomic Data Using Multi-Block Bipartite Graph.

M. Kang, J. Park, D. Kim, A. Biswas, C. Liu, and J. Gao.

IEEE International Conference on Bioinformatics and Biomedicine (acceptance rate for regular papers: 19% (68/346)), Washington D.C., Nov. 9-12, 2015

Inferring Disease Associations of the Long non-coding RNAs through Non-negative Matrix Factorization.

A. Biswas, M. Kang, D. Kim, C. Ding, B. Zhang, X. Wu, J. Gao.

Network Modeling Analysis in Health Informatics and Bioinformatics 4, no. 1 (2015): 9.

Multiblock Discriminant Analysis for Integrative Genomic Study.

M. Kang, D. Kim, C. Liu, and J. Gao.

BioMed Research International (impact factor: 2.71), 2015.

Inference of Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations.

D. Kim, C. Liu, J. Wang, and J. Gao.

BioMed Research International (impact factor: 2.71), 2014.

Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders.

D. Kim, M. Kang, J. Gao.

IEEE International Conference on BioInformatics and BioEngineering (BIBE), Boca Raton, Nov. 10-12, 2014.

Multiblock Discriminant Analysis for Integrative Genomic Study.

M. Kang, D. Kim, C. Liu, and J. Gao.

IEEE International Conference on BioInformatics and BioEngineering (BIBE), Boca Raton, Nov. 10-12, 2014.

eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis.

M. Kang, S. Li, D. Kim, C. Liu, and J. Gao.

IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, Dec. 4-7, 2013.

Inference of Gene Regulatory Networks by Integrating Gene Expressions and Genetic Perturbations.

D. Kim, C. Liu, and J. Gao.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, Dec 18-21, 2013.

SF-RPQ: A novel statistical framework for reliable protein quantification in label-free quantitative proteomics.

M. Kang, D. Kim, and J. Gao.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 3-7, 2013.

A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling.

D. Kim, X. Wang, C. Yang, and J. Gao.

Proteome Science (impact factor: 2.49) 10, no. 1 (2012): S13.

A Novel Multivariate Quantification Strategy for Complex Mass Spectrometry Data.

M. Kang, D. Kim, and J. Gao.

International Conference on Bioinformatics and Computational Biology, Las Vegas, March 12-14, 2012.

A Framework for Personalized Medicine with Reverse Phase Protein Array and Drug Sensitivity.

D. Kim, X. Wang, C. Yang, and J. Gao.

IEEE International Conference on Bioinformatics and Biomedicine, Atlanta, Nov. 12-15, 2011.

Discovery of Lung Cancer Pathways using Reverse Phase Protein Microarray and Prior-Knowledge based Bayesian Networks.

D. Kim, C. Yang, X. Wang, B. Zhang, X. Wu, and J. Gao.

IEEE Engineering in Medicine and Biology Society, Boston, Aug. 30-Sept. 3, 2011.

Learning Biological Network Using Mutual Information and Conditional Independence.

D. Kim, X. Wang, C. Yang, and J. Gao.

BMC Bioinformatics (impact factor: 3.028) 11, no. 3 (2010): S9.

Learning Proteomic Network Structure by a New Hill Climbing Algorithm.

D. Kim, J. Gao, C. Yang.

IEEE International Conference on BioInformatics and BioEngineering, Philadelphia, May 31-Jun 3, 2010.

A carbon footprint reduction and an inhabitants comfort maximization by controlling different levels of lighting and thermostat in smart homes.

H. Lee, D. Kim, K. Basu, and S. Das.

IEEE International Conference on Smart Homes and Health Telematics, Nara, Japan, June 21-23, 2007.