ML@UTRGV

Machine Learning at University of Texas - Rio Grande Valley

Image

Paper Accepted!

Our paper has been accepted in SIGMOD 2017. The conference homepage link is here.

 
Image

Paper Accepted!

Our paper has been accepted in IEEE BIBM2016. The conference homepage link is here.

 
Image

New ML lab homepage opened!

Thank you for visiting our website. Please come again! Our old homepage link is here.

Image

Congratulations!

Adrian Leal won Engaged Scholar Award. The link for the award information is here.

 
Image

Fall 2016 starts on 8/29

UTRGV calendar is available here.

Image

New Course in Spring 2017

Dr. Dongchul Kim will teach CSCI6366 Data Mining in Spring 2017.

 
Image

Dr. Kim's research on UTA newspaper

The original article is here.


Research

“Imagination is more important than knowledge.“ --Albert Einstein

Image     

Biomarker discovery and biological networks inference for cancer diseases
Image     

Botnet detection

Osvaldo Castellanos
Image     

Pothole Detection System Using a Black-box Camera

Carlos Pena-Caballero
Image     

A Deep Convolutional Neural Network for Active Ligand Prediction

Gilberto Quintos
Image     

Optimal dropout

Angel Cantu
Image     

Reinforcement learning

Adolfo Gonzalez III
Image     

Electrical Hive: an algorithm to track bees using Convolutional Neural Networks

Carlos Pena-Caballero
Image     

Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar

Carlos Pena-Caballero

Student Projects

“I had been impressed by the fact that biological systems were based on molecular machines and that we were learning to design and build these sorts of things.“ --K. Eric Drexler



Spring 2018
 
Image      Senior Design I
Rogelio Ramirez III
GMSEC Relay Server
Image      Senior Design I
Saul Perales
Property Maintenance Assistance Program
Image      Senior Project
Dante Galvan and Edgar De la Torre Bazan
Web Application for Interview Preparation
Image      Senior Project
Emanuel Zapata and Nancy Vidales
Android app development
Image      Senior Design II
Andres Garcia, Arturo Cervantes, Emmanuel Gulevro and Irania Rodreguez
Scope Probe


Publications

“I had been impressed by the fact that biological systems were based on molecular machines and that we were learning to design and build these sorts of things.“ --K. Eric Drexler



2018
 
Image      Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar
Carlos A. Pena-Caballero, Elifaleth Cantu, Jesus Rodriguez, Megan Strait, Jae Son, and Dongchul Kim
ICDIS 2018, accepted.
2017
 
Image      Stable solution to l2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases
Ashis Kumer Biswas, Dongchul Kim, Mingon Kang, Chris Ding, and Jean X. Gao
BMC Med Genomics. 2017; 10(Suppl 5): 77
Image      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 Bioinformatics 2017, accepted.
Image      Efficient Ad-Hoc Graph Inference and Matching in Biological Databases
X. Lian and D. Kim
SIGMOD 2017, accepted.
Image      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, 2017, accepted
Image      Identifying cis/trans-acting expression Quantitative Trait Loci
M. Kang, D. Kim, C. Liu, and J. Gao
International Journal of Data Mining and Bioinformatics, 2017, accepted

2016
 
Image      Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes
A. Biswas, D. Kim, M. Kang, and J. Gao
BIBM 2016, accepted.
Image      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
Image      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/ACM Transactions on Computational Biology and Bioinformatics, (impact factor: 1.609), no. 1, pp. 1, 2016
Image      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), 5:1, 2016
Image      Inferring causal molecular networks: empirical assessment through a community-based effort
S. Hill, L. Heiser, ..., D. Kim et al (The HPN-DREAM consortium)
Nature Methods, (impact factor: 32.072), 13(4):310-8, 2016

2015
 
Image      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
Image      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
Image      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, 2015
Image      Multiblock Discriminant Analysis for Integrative Genomic Study
M. Kang, D. Kim, C. Liu, and J. Gao.
BioMed Research International (impact factor: 2.71), 2015

2014
 
Image      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
Image      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, Boca Raton, Nov. 10-12, 2014
Image      Multi-Block and Multi-Task Learning for Integrative Genomic Study
M. Kang, D. Kim, C. Liu, and J. Gao
IEEE International Conference on BioInformatics and BioEngineering, Boca Raton, Nov. 10-12, 2014

2013
 
Image      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, Miami, Dec. 4-7, 2013
Image      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, Shanghai, China, Dec 18-21, 2013
Image      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

2012
 
Image      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), 2012
Image      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

2011
 
Image      A Framework for Personalized Medicine with Reverse Phase Protein Array and DrugSensitivity
D. Kim, X. Wang, C. Yang, and J. Gao
IEEE International Conference on Bioinformatics and Biomedicine, Atlanta, Nov. 12-15, 2011
Image      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

2010
 
Image      Learning Biological Network Using Mutual Information and Conditional Independence
D. Kim, X. Wang, C. Yang, and J. Gao
BMC Bioinformatics (impact factor: 3.028), 2010
Image      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

2007
 
Image      A carbon footprint reduction and an inhabitants comfort maximization by controllingdifferent 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

People

“Teamwork is the ability to work together toward a common vision. The ability to direct individual accomplishments toward organizational objectives. It is the fuel that allows common people to attain uncommon results.“ --Andrew Carnegie

Faculty
 
Image      Dr. Dongchul Kim
Principal Investigator
Assistant Professor, Department of Computer Science, University of Texas Rio Grande Valley

Students
 
Image      Angel Cantu
Research Assistant, Undergraduate student
Department of Computer Science, University of Texas Rio Grande Valley
Image      Osvaldo Castellanos
Research Assistant, Graduate student (Master)
Department of Computer Science, University of Texas Rio Grande Valley
Image      Adolfo Gonzalez
Teaching Assistant, Graduate student (Master)
Department of Computer Science, University of Texas Rio Grande Valley
Image      Dongu Kim
Graduate student (co-advising Ph.D.)
Soongsil University, Korea
Image      Gilberto Quintos
Graduate student
Department of Computer Science, University of Texas Rio Grande Valley
Image      Carlos Pena-Caballero
Lab Manager, Graduate student (Master)
Department of Computer Science, University of Texas Rio Grande Valley

Collaborators
 
Image      Dr. Ashis Biswas
Assistant Professor
Department of Computer Science, University of Colorado Denver
Image      Dr. Mark Chu
Associate Professor
Department of Electrical Engineering, University of Texas Rio Grande Valley
Image      Dr. Jeongsuk Ho
Associate Professor
Department of Civil Engineering, University of Texas Rio Grande Valley
Image      Dr. Mingon Kang
Assistant Professor
Department of Computer Science, Kennesaw State University
Image      Dr. Wooky Kim
Assistant Professor
Eastern Kentucky University
Image      Dr. Xiang Lian
Assistant Professor
Department of Computer Science, Kent State University
Image      Dr. Joanna Rampersad-Ammons
Professor
Department of Chemistry, University of Texas Rio Grande Valley
Image      Dr. Jae Sok Son
Associate Professor
Department of Electrical Engineering, University of Texas Rio Grande Valley
Image      Dr. Megan Strait
Assistant Professor
Department of Computer Science, University of Texas Rio Grande Valley
Image      Dr. Andrew Yun
Associate Professor
Department of Civil Engineering, University of Central Florida

Sponsors

“A person who never made a mistake never tried anything new“ --Albert Einstein

Image      Nvidia
Nvidia GPU grant
GTX Titan Xp - $1,200
Image      University of Cetral Florida
3D visualization
$11,917

To Prospective Students

We are looking for students who want work together. The students are expected to be highly self-motivated, and have outstanding software programming skill