Talk for Geriatrics Grand Round seminar at Las Vegas VA

Talk at White Pine Care Center and William Bee Ririe Hospital/Clinic in Ely, NV

Served a panel reviewer at DOE

Invited Talk at Kyunghee University

Invited Talk at Gyeongsang National University and Gyeongsang National University Hospital at Changwon

Talk, entitled "Biologically interpretable and integrative deep learning in bioinformatics" at UNLV Computational and Data Science Day

Inivted talk: EDUCATION x TECHNOLOGY: Closing the health disparities gap for nevada's older adults

Research talk at KOCSEA Tech Symposium in Seattle, WA

Invited research talk at Cipherome

Invited research talk for the series of Knight Foundation School of Computing and Information Sciences at Florida International University

Invited research talk at Kennesaw State University, "Interpretable and Integrative Deep Learning in Bioinformatics"

Research talk at KSEA-UKC, "Interpretable deep learning enhances prediction of enzyme commission numbers".

A review paper, entitled "A Roadmap for Multi-Omics Data Integration using Deep Learning", is accepted in Briefings in Bioinformatics (IF: 11.62)

Invited research talk at Seoul National University, "Pathway-based interpretable deep learning for survival analysis".

A grant ($245,000), entited "Ethnic-specific opioid risk prediction in primary care using deep learning", is awarded from the Centers for Medicare & Medicaid Services

A NSF MRI grant ($432,269), entited "MRI: Acquisition of a GPU Cluster for Multi-Disciplinary Research and Education at University of Nevada, Las Vegas", is awarded

"PathCNN: Interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma" is accepted in ISMB

Research talk for VA Grand Rounds, "Big Data & AI in NV geriatric care"

Research talk for NV HIMSS: Predicting an inpatient risk of benzodiazepine/opioid overdose

Invited talk from NIPM, noon-1pm, Sep. 24: Interpretable and integrative deep learning for biomedical research

Research talks at Dong-Eui University, Korea Brain Research Institute, Gyeongsang National University, Sunmoon University, DGIST, and Chungbuk National University

"Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis" is published in Methods

Invited talk from NIPM, noon-1pm, April 2@SEB 2251: Interpretable and integrative deep learning for biomedical research

Invited talk from UNLV SOM, noon-1pm, Feb 25@Shadow Ln Campus SIM center classroom 4: Clinical & Translational Research in Machine Learning

"Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data" is published in BMC Medical Genomics

A book chapter "Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis" is published in eQTL Analysis Methods in Molecular Biology

"Semi-supervised Discriminative Transfer Learning in Cross-language Text Classification" is accepted in IEEE ICMLA 2019

"Texture-based Deep Learning for Effective Histopathological Cancer Image Classification" is accepted as a short paper (acceptance rate of 36.4%) in BIBM 2019

"PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data" is accepted in PSB 2020, and invited for an oral presentation. See you in Hawaii at Janaury 3-7, 2020.

I moved to the University of Nevada, Las Vegas as an Assistant Professor in the Department of Computer Science.

A paper, titled "Pathway-based Deep Clustering for Molecular Subtyping of Cancer", is accepted in Methods

A paper, titled "DoT-Net: Document Layout Classification Using Texture-based CNN", is accepted in ICDAR

Hi-LASSO is accepted in IEEE Access

Invited to an organizing member (workshop co-chair) in IEEE BIBM

Two BIBM papers are invited to special issues in Methods (IF: 3.99, h-index: 129) and BMC Genomics (IF: 3.73, h-index: 130)

Invited to an organizing member (co-chair) in Computer Sciences and Information Technologies, UKC 2019

Received an external grant of $100,000 from Oracle for the work entitled, "A Federated Approach to Image Feature Extraction."

"PASNet: Pathway-Associated Sparse Deep Neural Network for Prognosis Prediction from High-throughput Data", Accepted in BMC Bioinformatics.

A research presentation at KOCSEA Technical Symposium in Silicon Valley, CA

Invited a talk from Colloquium Series in School of Engineering at the University of Bridgeport, CT: Sep 28 2018

Received an external grant of $40,000 from KNOWCK lnc, "Smart Digital Signage and Big Data Analytics"

Selected to receive an FY19 OVPR Pilot/Seed Grant of $11,634 at The Office of the Vice President for Research, Kennesaw State University.

Awarded four Tier III GRA ($5,500 stipend + 9 hours tuition waiver) from the Graduate College, KSU

"Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes", Accepted in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB).

The following two workshop proposals are accepted in IEEE BIBM:

1. International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2018)
   
2. International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA 2018)

Awarded two Tier III summer GRA ($5,500 stipend + 9 hours tuition waiver) from the Graduate College, KSU

A research presentation to Molecular Biosciences Interdisciplinary Group (MBIG) seminars, 2pm@CL2008, KSU Kennesaw campus

A presentation in The Home Depot's HQ

News report of the collaboration work with GE: Kennesaw State University Partners With GE Digital To Launch Country’s First Data Science Ph.D.

Three tier-III GRA ($5,500 stipend + full tuition $3,480 for in-state/$12,540 for out-of-state per each) are awarded from the Graduate College at KSU

A tier III GRA ($12,000 stipend + full tuition) is awarded from OVPR at KSU

The following two workshop proposals are accepted in IEEE BIBM:

1. International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2017)
   
2. International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA 2017)

Three journal papers are accepted in International Journal of Data Mining and Bioinformatics (IJDMB)

Awarded a Tier II summer GRA ($4,500 stipend + 9 hours tuition waiver) from the Graduate College, KSU

Invited to a talk in Big Data Lecture Series

"Graph-theory Based Simplification Techniques for Efficient Biological Network Analysis", Accepted in Big Data Service 2017

Invited to the International Symposium on Bioinformatics Research and Applications (ISBRA) as a Program Committee.

"Integrative Gene Regulatory Network Inference Using Multi-omics Data", Accepted in BIBM 2016

Invited to the International Conference on Bioinformatics and Biomedical Technology (ICBBT) as a Technical Committee.

"Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes", Accepted in BIBM 2016 (Acceptance Rate: 19%).

"Nearest-Neighbor Search with Locally Weighted Linear Regression for Heartbeat Classification", Accepted in Soft Computing (Springer).

"Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders", Accepted in BMC Medical Genomics.

Joined the Department of Computer Science at Kennesaw State University as an assistant professor

"Multi-Block Bipartite Graph for Multimodal Genomic Data", Accepted in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB).

April, 22, 2016

Invited to Association of Technology, Management, and Applied Engineering (ATMAE) at Texas A&M University-Commerce as a presenter

March, 1, 2016

News report of my research project, "Deep Learning on Intelligent Systems for Digital Signage" [TAMUC News]

Feburary, 15, 2016

"Computational modeling of animal foreign body responses to implanted biomaterials", Published in BMC Bioinformatics (Impact factor: 2.576)

January, 6-9, 2016

Participation in The International Consumer Electronics Show (CES) in Las Vegas, NV

"Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders", Invited to a special issue in BMC Medical Genomics

"Inferring causal molecular networks: empirical assessment through a community-based effort", Acceped in Nature Method

"An Integrative Genomic Study for Multimodal Genomic Data Using Multi-Block Bipartite Graph", Invited to a special issue in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB)

"Heartbeat Classification Using Beat Morphology Features for Mobile Arrhythmia Recognition", Invited to a special issue in Journal of Medical Systems

Oral presentation invited, KOCSEA (Korean Computer Scientists and Engineers Association in America) Technical Symposium, Harvey Mudd College, Claremont, CA

BIBM participation (Oral presentation invited), Washington D.C.

Three papers are accepted in BIBM 2015 as reguluar papers (acceptance rate 19%)

• An Integrative Genomic Study for Multimodal Genomic Data Using Multi-Block Bipartite Graph
• Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders
• Heartbeat classification for detecting arrhythmia using normalized beat mophology features

Joined the Department of Computer Science at Texas A&M University-Commerce as an assistant professor

PhD Defense: Wed July 22, 2015 11 am, ERB 301: Everyone is invited to attend the presentation.

Received the merit-based Graduate School Dissertation Fellowship ($6726), University of Texas at Arlington.

'Multiblock Discriminant Analysis: A Novel Approach for Integrative Genomic Study', Published in BioMed Research International (IF: 2.706)

Won the FIRST place in 2014 KOCSEA Moon-Jung Chung Scholarship Competition, IBM Watson Research Center, NJ

Attended IEEE 14th International Conference on Bioinformatics and Bioengineering (IEEE BIBE), Boca Raton, FL, where I presented the BEST paper

Won the GenDepot Poster Award in Korean-American Biomedical Scientists Symposium (KABMS), MD Anderson Cancer Center, Houston, TX

"eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways", Accepted in Oxford Bioinformatics journal