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

   • Already finalized the Figures and Tables (drafts)

   • Currently carefully revising the Discussion and Introduction parts.

   • Ana gave me some advice to revise the Method and Supplementary Material. Will implement them once Discussion and Introduction has been finalized.

• 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 (10/09/2026)

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

   • https://www.sciencedirect.com/journal/regulatory-toxicology-and-pharmacology/about/aims-and-scope

   • https://www.sciencedirect.com/journal/toxicology-letters/about/aims-and-scope

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 : Under review (30/08/2026)

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

• Uploaded on CML GDrive

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

• Manuscript preparation  : Research method (Done), Figures & Table (Done), Introduction (Done), Result (Done), Discussion (Done), Supplementary Materials (Done) -> Uploaded on CML GDrive

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

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

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

3. Broshure & Poster:

   1. CardioSim: DONE

   2. ToxCML: DONE

   3. BioPulse: DONE

4. Video Advertisement:

   1. CardioSim: DONE

   2. BioPulse: DONE

5. 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." - Internal Review

• 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).  - Internal Review

• Progress: Manuscript Preparation - Introduction (Done), Methodology (Done), Results (Done), Discussion (Done), Abstract (Done) - Complete all sections and send the manuscript to the Professor for internal review

• Next Plan: Submit to the International Journal of Pharmaceutics

4. "Lab-Specific Validation of Multi-Biomarker in silico Ventricular Cell Models for Drug-Induced TdP Risk Prediction"

• Progress: Manuscript Preparation - Completed all sections

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

• Progress: Prepare the dataset for fine-tuning and understand the knowledge about this topic from YouTube.

• Next Plan: Discuss with Mr Ariyadi, Adnan, and 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

• Preparing submission : Toxicological sciences 

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

• Simulation progress 

 4. Generated mesh for full atrium  in Cardiosim

• Hexa full atrium mesh generation still on-progress.

5. Optic-Pathway fiber data

• 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. 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

• 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.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)

• 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" - testing code with using 10 subject's data in Cardiosim, in the mean time reading and trying to understand code from ichaa.

• 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