• Researcher

• E-mail : krrhj0707@gmail.com

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Development of a wearable BP estimation device

• E-mail : ariks131@gmail.com

Research progress: 

1. "in silico Cardiac Safety Assessment Using a Multi-Biomarker Approach Based on an Electrophysiological Model of hiPSC-Derived Cardiomyocytes" - Submitted to Toxicological Research Journal (Current status: Revision)

2. Developing Biopulse - a device for real-time measurement of bio signals for educational biomedical experiments and human physiological digital twins - Testing the EEG function for SSVEP and SSAEP 

• IT융복합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research Field: Software Engineering and in silico experimentation and simulation

• E-mail : aroli.marcellinus@gmail.com

Research progress: 

1. "Clinical vs simulation comparison: %ΔΔQT vs %ΔAPD90 Using Manual (IC50,h)"

   • Currently making necessary Figures and Tables (drafts)

   • Making the Figure for comparing AP graph and ECG waveform for each certain drug and concentration bins (on progress).

   • Finding another metrics to add for additional figures and tables.

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Bio-Simulation and drug screening for cardiac toxicity assessment

• E-mail : nurulqashrimt@gmail.com

Research progress (14/08/2026)

1. In Silico Evaluation of Cardiac Electrophysiological Effects of Mitoxantrone and Ribavirin using the ORd ventricular cell model

• Resimulate mitoxantrone for 1-4x Cmax  (ongoing simulations for all gender and phenotype under endocardium, epicardium , and mid-myocardium) -> on analysis

2. Phenotype Specific in silico Prediction of Drug-Induced Proarrhythmia Across Sex and Heart-Failure Condition - Submitted to the Toxicology and Applied Pharmacology Journal

   • Status : With Editor

  3. Cross - Chamber Transferability of the CiPA Paradigm for in silico Atrial Safety Assessment using Machine Learning - Submitted to the  Computational Toxicology Journal

2. • Status : With Editor

  4. Digital Twin - Breast Cancer (Collaboration with Fauzan Syarif)

• Manuscript preparation  : Research method (Done), Figures & Table (Done), Introduction (ongoing), Result (ongoing)

• Next plan (17 - 21 August, 2026) : complete the introduction and result section

5. Drugs toxicity evaluation with Mirams 2011, Kramer 2013, Passini 2017, and CiPA's datasets (Toxicology and Applied Pharmacology)

Proposed title : 

a.Expanding the Scope of Drug-Induced Torsades de Pointes Risk Classification: A Machine Learning Study on 125 Compounds Using Computational Cardiac Biomarkers.

b.Expanding the Scope of Drug-Induced Torsades de Pointes Risk Classification: A Machine Learning Approach on Multi-Source Computational Cardiac Biomarkers.

c.Toward a Broader Assessment of Drug-Induced Torsades de Pointes Risk: Machine Learning Classification Using Computational Cardiac Biomarkers from an Expanded Drug Dataset

• Manuscript preparation : Research method (Done), Figures & Table (Done), Result (Ongoing)

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research Field: In silico experimentation and simulation

• E-mail : ariyadi@lecturer.itk.ac.id

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Bio-Simulation and drug screening for cardiac toxicity assessment

• E-mail : muhadnanpramudito@gmail.com

Research progress: 

1. "A Dual-Metric Framework for Assessing Concordance Between in silico Cardiac Safety Simulations and hiPSC-Derived in vitro Electrophysiological Data" - Submitted to Annals of Biomedical Engineering (Rejected) -> Biomedical Engineering Letters (Rejected) -> in revision Progress (Finalizing)

2. "CETO: A Novel in silico Cardiac Safety Assessment Using Action Potential Shape-Derived Torsadogenic Safety Margins" - Pharmaceutical Research Journal (Rejected) -> IEEE journal of Biomedical and Health Informatics (Rejected) -> Archives of Toxicology (Recommended for transfer) (Finalizing)

3. Lab-Specific Validation using Torsadogenic Safety Margins - Manuscript Preparation

4. "Greedy Classifier-Based Identification of Proarrhythmic Biomarkers from One-Dimensional Cardiac Tissue Simulation" - Byung Gyu Research

5. “CNN Based Arrhythmia Classification from 1D Monodomain Field Potentials for TSM Drug Risk Assessment” - Pending

6. “Development hiPSC-CM  Digital Twin Model” - Running process

7. P-DL: Physics-Constrained Deep Learning for Inverse ECG Reconstruction (Icha Topic) - still learning about it

8. Meta Heart Catalog Book - Revising the previous version (Current Status: DONE)

9. Fix code for model C in CARDIOSIM for MEA-based TdP risk prediction (Current Status: DONE)

10. Broshure & Poster:

    1. CardioSim: DONE

    2. ToxCML: DONE

    3. BioPulse: DONE

11. Video Advertisement:

    1. CardioSim: DONE

    2. BioPulse: DONE

12. BioPulse Tutorial Video:

    1. Single Lead ECG v1: DONE

    2. PCG v1: DONE

    3. PPG v1: DONE

    4. EMG & Myometer v1: DONE

    5. Spirometer v1: DONE

    6. Body Temperature v1: DONE

    7. EOG: DONE

    8. V-PPG: Not yet

    9. FeO2 v1: DONE 

    10. 8 Ch. EEG: DONE

    11. NIBP: DONE

    12. 12 Lead ECG: DONE

    13. BSPM: Not yet

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Bio-Simulation and drug screening for cardiac toxicity assessment

• E-mail : hanumulfalatifa@gmail.com

Research progress  : 

1. "Impact of Ventricular Electrophysiology Model Selection on the Robustness of in silico Cardiac Safety Biomarkers: Role of Electromechanical Coupling."

• Annals of Biomedical Engineering (Under Review) - 2026/06/08 *updated

2. "Multi-Biomarker Optimization for Drug-Induced Torsades de Pointes Risk Prediction Using an Electromechanical Cardiac Model."

• Progress: Completed the Internal revision

• Next Plan: Submit to the Toxicological Sciences

3. "Cardiac Safety Assessment through Multi-Biomarker analysis using the ToR-ORd+Land model" - This paper extends “Improving Biomarker Robustness for in silico Cardiac Safety Assessment through an Excitation-Contraction Coupling Model” (Toxicology and Applied Pharmacology).  - Plan to submit to the International Journal of Pharmaceutics

• Progress: Manuscript Preparation - Introduction (Done), Methodology (Done), Results (Done), Discussion (Done), Abstract (Done) - Complete all sections

• Next Plan: Send the manuscript to the Professor for internal review

4. "Lab-specific Validation of Multi-Biomarker-Based in silico prediction of Drug-Induced Cardiac Proarrhythmic Risk using the ToR-ORd Ventricular Model"

• Progress: Manuscript Preparation - Introduction (Done), Methodology (Done). Results (on going), Discussion (not yet), Abstract (not yet)

• Next Plan: Complete all sections by August 18, 2026

5. "CEP-FM: A Multimodal Electrophysiology Foundation Model for Torsades de Pointes Risk Classification" - Collaboration with Fauzan Syarif and Ariyadi

• Make the schematic and understand the knowledge about this topic (on-hold)
  
  

Collaboration Topic:

1. "A general CiPA-based multi-biomarker framework with Bnet-independent calibration under lab-to-lab variability identifies robust torsadogenic metrics: an in silico study. "  - Collaboration with Dr Ali Ikhsanul Qauli

• Plan to Submit to the Archives of Toxicology by  August 14, 2026.
  
  

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 석사과정 (Master Candidate)

• Research field: Cardiovascular Digital Twin

• E-mail : rahmafatin@kumoh.ac.kr 

Research progress (updated on  06 Aug 2026): 

1. "Inverse BSP to TMP" - Manuscript preparation 

• Plan to  submit on Annals of Biomedical Engineering

2. "Cardiosim" 

• Circulation digital twin both from ABP/PPG data 

• Electrophysiology digital twin module validation 

• Add VTK viewer in electrophysiology digital twin

•  바이오메디컬공학 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Bio-Simulation and drug screening for cardiac toxicity assessment

• E-mail : oliviayosi@kumoh.ac.kr 

Research progress (13-08-2026)

1. Multi-Biomarker Models Improve Robustness of in silico Torsades de Pointes Risk Classification under Inter-individual Variability

• Archive of toxicology ( Rejected - 13-08-2026)

• Prepare to submit to Journal of Chemical Information and Modeling

2. 2D Cardiac Tissue Simulations accounting for Inter-individual Variability

• Extracting the qNet biomarker from simulation data

3. Generated mesh for full atrium in Cardiosim

• Hexa full atrium mesh generation still on-progress.

• 의공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Cuff-less holter blood pressure device

• E-mail : rht7565@gmail.com

Research progress:

1. Developing Biopulse - a device for real-time measurement of bio signals for educational biomedical experiments and human physiological digital twins - Developing design and Testing

2.  Manufacture of non-invasive blood pressure measuring equipment - Design and Synchronization 

• 의료 IT 융합 공학과 (Dept. Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Machine and Deep Learning for Toxicity Prediction, QSAR chemoinformatics, and digital twin development. 

• E-mail : fauzanresearchermedit@gmail.com

Research progress (https://bit.ly/FauzanProgressReport): 

1. "Adaptive MRI-Guided Digital Twin for Personalized Simulation of Breast Tumor Progression and Therapeutic Response" - Manuscript preparation (collaboration with Nurul)

2. HeteroSC: A Task-Adaptive Routing Framework for Heterogeneous Single-Cell Foundation Model Fusion  - Manuscript preparation

3. ProCMT-QSAR: An Interpretable Target-Aware Protein- Conditioned Multimodal Multi-Task QSAR Model for Toxicity Prediction of Endocrine-Disrupting Chemicals - Submitted to Journal of Advanced Research

• 의료 IT 융합 공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Molecular Docking and Dynamic Simulation, PBPK-modeling, QSAR Chemoinformatic and Machine and Deep Learning for MEA based TdP Risk Prediction.

• E-mail : afrinsanjida246@gmail.com

 Research Progress: 

1.MEA-ADA: MEA-based Adversarial Domain Adaptation for TdP Risk Prediction -Fixing the Domain Discrimination Algorithm Code in MEA-DADA - on hold. 

2.Working on PBPK Modeling Software & Simulation Tools-PBPK modeling of 28 CIPA drugs has been completed in PK-Sim, and the simulation results are currently undergoing validation. 

3.QSAR-Development of Cardiosim-Tox Framework for Predicting Cardiac Ion-Channel Blockade by Protein-Conditioned Multimodal Multi-Task QSAR Model-processing on molecular features calculation(on going)

• 의료 IT 융합 공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field : Network Pharmacology and Molecular Docking  Simulation

• E-mail : putri.nadillahafani@gmail.com

Research Progress:

1. Python Course
   W3Schools : Basic Python
   Udemy : "Python for Data Science and Machine Learning Bootcamp"

2. Read Paper: QSAR Classification Modeling Using Machine Learning with a Consensus-Based Approach for Multivariate Chemical Hazard End Points

• 바이오메디컬공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Drug Screening for Cardiac Toxicity Assessment

• E-mail : littleprk59@gmail.com

Research progress: Research Progress

1. "Optimal In Silico Biomarker Combinations for Proarrhythmic Risk Classification from 2D Bidomain Cardiac Tissue Simulations using the ToR-ORd Model" - comparing with single biomarker (Li et al.)

• 의공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Software and GUI Implementation 

• E-mail : uzanlatif@gmail.com

Research progress:

1. "BIOPULSE software implementation" 

2. "CardioSim software implementation"