• Researcher

• E-mail : krrhj0707@gmail.com

• 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. "Evaluation of an in silico Proarrhythmia Risk Assessment Model by Comparing Simulated APD90 Changes with Drug-Induced QT Prolongation Data"

   • Formatting the manuscript into Toxicological Research.

   • Currently revising parts from Professor and adding additional Result figures.

• 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 (01/10/2026)

*Red title indicates that the professor's feedback/comments are needed for the manuscript

1. In silico Cardiac Safety Assessment of Mitoxantrone and Ribavirin using the ORd Ventricular Cell Model at Effective Antiviral Concentration Against Monkeypox Virus 

   • Uploaded on CML GDrive

   • Proposed journal : Toxicology Letter Journal

2. Phenotype Specific in silico Prediction of Drug-Induced Proarrhythmia Across Sex and Heart-Failure Condition - Prepare to submit to Journal of Pharmacology and Toxicology Methods

   • Status : Re-simulation

1. Selected the best model from the cross-validation process based on the highest rank score — Done

2. Combined healthy male, healthy female, HF male and HF female into ANN and tested across phenotypes — In progress

  3. Cross - Chamber Transferability of the CiPA Paradigm for in silico Atrial Safety Assessment using Machine Learning 

• Uploaded on CML GDrive

• Proposed journal : Toxicological Research

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

• Proposed Journal : Computer Methods and Programs in Biomedicine (CMPB)

• Manuscript prepration

5.  Latent Biophysical Parameters from Mechanistic Digital Twins for Pathological Response Prediction in Breast Cancer : A Multicentre Evaluation on the ACRIN 6698 Cohort (Collaboration with Fauzan Syarif)

• Proposed Journal : 

• Manuscript preparation

6. Expanding the Scope of drug-induced Torsade de Pointes Risk Classification : A Machine Learning Study on 125 Drugs using Computational Cardiac Bioamarkers

• Uploaded on CML GDrive

• Proposed journal :  Toxicology and Applied Pharmacology

Next Plan :

1. Phenotype Specific in silico Prediction of Drug-Induced Proarrhythmia Across Sex and Heart-Failure Condition 

• Combined healthy male, healthy female, HF male and HF female into ANN and tested across phenotypes

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

• Proposed Journal : Computer Methods and Programs in Biomedicine (CMPB)

• Manuscript prepration

• 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) -> Revision done

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) -> Revision done

3. Lab-Specific Validation using Torsadogenic Safety Margins - 

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

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

6. “Development hiPSC-CM  Digital Twin Model” - Training Process

7. “Preparing ABSTRACT for KOSOMBE” - in process

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) - 2026/09/27 *updated

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

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).  - Revamp the manuscript

• Progress: Manuscript Preparation - Introduction (Done), Methodology (Done), Results (Done), Discussion and Abstract (Done)

4. "CEP-FM: A Multimodal Electrophysiology Foundation Model for Torsades de Pointes Risk Classification" - Collaboration with Mr Ariyadi

• Progress: Make a code for the Pretraining and Fine tuning Architecture for 3-TdP risk classification.

• Next Plan: Discuss with Professor
  
  

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 - Internal Review

• Progress: Manuscript formatting has been adjusted to comply with CMPM journal guidelines. 

• Next Plan: Submit to the  computer methods and programs in  biomedicine
  
  

• 바이오메디컬공학 (Dept. of Biomedical Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Cardiac toxicity assessment

• E-mail : oliviayosi@kumoh.ac.kr 

Research progress 

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

• Waiting from Professor's feedback on the manuscript

• Plan to submit to Annals of Biomedical Engineering

2. Lab-Specific Validation of Multi-Biomarker Prediction of Proarrhythmic Risk Under Interindividual Variability 

• Calibration drugs have been selected.

• The simulation is currently running with the chantest dataset in CardioSim. 

(One concentration (8,000 samples) took 2 days and 7 hours to complete in Cardiosim)

 3. Generated mesh for full atrium  in Cardiosim

• Full atrium hermite mesh generation is in progress

• Hermite mesh for the new ventricle is still in progress.

4. Optic-Pathway fiber data

• The fiber pathway simulation has been completed in CardioSim. 

• High-frequency simulation of the brain fiber was performed. All issues found have been reported to CardioBot 

• 바이오메디컬공학 (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 

• 바이오메디컬공학 (Dept. of 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. Can Heterogeneous Single Cell Foundation Models Work Better Together? HeteroSC for Adapter-Based Integration and Orchestration of Complementary ScFM Experts - 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 Archive of Toxicology (Under Review)

• 바이오메디컬공학 (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.QSAR-Development of Cardiosim-Tox Framework for Predicting Cardiac Ion-Channel Blockade by Protein-Conditioned Multimodal Multi-Task QSAR Model.

• 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. "Cardiovascular digital twin personalization using arterial blood pressure-driven optimization of a Windkessel–baroreflex model" - Understanding Codes

• 바이오메디컬공학 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Software and GUI Implementation 

• E-mail : uzanlatif@gmail.com

Research progress:

1. K-GKS Korean Language Program 2026