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교수진

교수진 소개

Jhabindra Khanal, Ph.D.

Name
Jhabindra Khanal, Ph.D.
Faculty Appointment:
(title, department)
Assistant Professor, Department of Cancer AI & Digital Health, NCC-GCSP, NCC
Senior Researcher, Bioinformatics Branch, Division of Cancer Data Science, Research Institute, NCC
Area of Expertise

Bioinformatics, Deep Learning, Computational Modelling, Genomics, Omics Data Analysis, DNA Methylation Site Prediction, Single Cell RNAseq Analysis.
Contact no
010-6804-9124
E-mail
91979@ncc.re.kr, jbkkor2014@gmail.com
Work Experience
Mar 2025- Present : Assistant Professor, Department of Cancer AI & Digital Health, NCC-GCSP, NCC, Senior Researcher, Bioinformatics Branch, Division of Cancer Data Science, Research Institute, NCC.
Oct 2023- Feb 2025: Postdoctoral Research Fellow, Department of Cancer AI & Digital Health, NCC-GCSP, NCC, Bioinformatics Branch.
Dec 2022- Sep 2023: Research Assistant Professor, Department of Electronics and Information, Jeonbuk National University, S.Korea.
Jan 2022 - July 2022: Postdoctoral Research Fellow, Department of Oncology, Wayne State University, Detroit, USA.
Mar 2021 - Jan 2022: Research Assistant Professor, Department of Electronics and Information, Jeonbuk National University, S.Korea.
Educational Background
Sep 2016- Aug 2021: Ph.D., Electronics and Information Engineering, Jeonbuk National University, S.Korea.
Feb 2014 - Aug 2016 : M.S., Electronics and Information Engineering, Jeonbuk National University, S.Korea
Mar 2006 - Feb 2011 : B.S., Physics, Tribhuvan University, Nepal
Research Interests
Development of pan-cancer prognostic biomarker prediction using a deep learning-enabled stratified variation model. Immunogenic neo-epitope identification using modern deep learning models, Survival analysis of the patients using clinical data and gene expression profiles. DNA methylation site identification. Big data analysis. Genomics analysis. Single cell RNAseq analysis, Spatial transcriptomics. For more information about my previous research, please visit the following websites https://scholar.google.co.kr/citations

Developed bioinformatics tools.
https://github.com/Jhabindra-bioinfo/DeepCap-Kcr
https://nsclbio.jbnu.ac.kr/tools/i6mA-stack/
https://nsclbio.jbnu.ac.kr/tools/4mCCNN/
https://nsclbio.jbnu.ac.kr/tools/iEnhancer-CNN/
https://nsclbio.jbnu.ac.kr/tools/iEnhancer-RF/
https://github.com/Jhabindra-bioinfo/CapsNh-Kcr
https://github.com/Jhabindra-bioinfo/DeepAtten-Immune
Achievements
Journal Papers

1.DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network, Publisher: Oxford University Press (Briefings bioinformatics) (IF~11.0), 2022, Authors: Jhabindra Khanal, Hilal Tayara, Quan Zou, and Kil To Chong.

2.Identifying DNA N4-methylcytosine Sites in the Rosaceae Genome with a Deep Learning Model relying on Distributed Feature Representation, Publisher: Elsevier (Computational and structural biotechnology journal) (IF=7.271), 2021, Authors: Jhabindra khanal, Hilal Tayara, Quan Zou, and Kil To Chong.

3.i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome, Publisher: Elsevier (Genomics) (IF=5.736), 2020, Authors: Jhabindra Khanal, Dae Young Lim, Hilal Tayara, and Kil To Chong.

4.Identifying Enhancers and Their Strength by the Integration of Word Embedding and Convolution Neural Network, Publisher: IEEE (IEEE Access) (IF~3.367), 2020, Authors: Jhabindra Khanal, Hilal Tayara, and Kil To Chong.

5.4mCCNN: Identification of N4-Methylcytosine Sites in Prokaryotes Using Convolutional Neural Network, Publisher: IEEE (IEEE Access) (IF~3.367), 2019, Authors: Jhabindra khanal, Iman Nazari Hilal Tayara, and Kil To Chong.

6.iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest. Publisher: Elsevier (Chemometrics and Intelligent Laboratory Systems) (IF=3.491), 2021. Authors: Dae YeongLim*, Jhabindra Khanal*, Hilal Tayara, and Kil To Chong.

7.CapsNh-Kcr: Capsule network-based prediction of lysine crotonylation sites in human non-histone proteins. Publisher: Elsevier Computational and Structural and Biotechnology Journal, (IF=6.115), 2023. Authors: Jhabindra Khanal, Jeevan Kandel, Hilal Tayara, and Kil To Chong.

8.Design and Implementation of GPS RTK Positioning Using Carrier Phase Measurement on an Embedded Board, IEIE Transactions on Smart Processing & Computing, 2020 , Authors: Jhabindra Khanal, FP Vista, Kim Young Chul, Kil To Chong.

9.GPS-based Interferometric Heading Determination Using Carrier Phase Measurement, International Journal of Control and Automation, 2017 , Authors: Jhabindra Khanal, FP Vista, Kil To Chong.

10.DeepAtten-Immune: A Deep Learning Frameworks for Identifying Immunogenic Neoepitopes [2025 submitted], Jhabindra Khanal, Yunmi Kim, Tae-hoon Kim, Youngwook Kim.

Achievements
Conference Papers

1.[DNA N4- Methylcytosine sites prediction in Arabidopsis thaliana using CNN], [ICROS Annual Conference(ICROS2019) KOREA] [2019] [Kunsal National University, Kunsan], [Jhabindra Khanal and Kil To Chong]

2.[A Deep Learning Model For predicting DNA N4- methylcytosine sites in Caenorhabditis elegant], [The 36th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)] [2021], [Jeju, Korea], Jhabindra Khanal, Jeevan Kandel, Kil To Chong

3."[Comparison between code and phase residual for low-cost GPS receivers]" [International Symposium on Information Technology Convergence (ISITC)], [KOREA 25/10/2018, Jeonbuk National University], [Jhabindra Khanal and Kil To Chong]

4.[Gps-Based baseline determination with least square estimation], International Symposium on Information Technology Convergence 2019 (ISITC 2019) [China, 19/09/2019, Tianjin University of Science and Technology] [Jhabindra Khanal and Kil To Chong]