• 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: 

Progress-12th March 2026

• 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 (23/07/2026)

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

• Preprare for submitting to Journal of Electrocardiology

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

   • Manuscript preparation to Toxicology and Applied Pharmacology : Revising the abstract and the manuscript story

  3. In Silico Safety Assessment of Drug-Induced Atrial Arrhythmias Based on Atrial Electrophysiology Models

• Manuscript preparation  : Results (Ongoing)

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

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

5. Drugs toxicity evaluation with Mirams 2011, Kramer 2013, Passini 2017, and CiPA's datasets

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 (Current Status: 12 Jun 2026 - Rejected)

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) -> Revision process

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

4. MEA-DADA: MEA-based Deep Adversarial Domain Adaptation for TdP Risk Prediction - Fixing the Domain Discrimination Algorithm Code in MEA-DADA. 

5. "in silico Validation and Quantitative Evaluation of One-Dimensional Cardiac Tissue Model Using MEA-Based Experimental Comparison using Trend Similarity and Correlation Score for Cardiac Safety" (in collaboration with Byeong Gyu) - Byung Gyu Research

6. "Greedy Classifier-Based Identification of Proarrhythmic Biomarkers from One-Dimensional Cardiac Tissue Simulation" - Not Yet

7. “Development of a Bidomain-Based hiPSC-CM Tissue Digital Twin from Control MEA Data” - Running process

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

9. Broshure:

   1. CardioSim: DONE

   2. ToxCML: DONE

   3. BioPulse: DONE

10. Video Advertisement:

    1. CardioSim: DONE

    2. BioPulse: DONE

11. BioPulse Tutorial Video:

    1. Single Lead ECG: DONE (link)

    2. PCG: DONE (link)

    3. PPG: DONE (link)

    4. EMG & Myometer: DONE (link)

    5. Spirometer: DONE (link)

    6. Body Temperature: DONE (link)

    7. EOG: in progress

    8. V-PPG: in progress

    9. FeO2: DONE (link)

    10. 16 Ch. EEG: Not Yet

    11. NIBP: in progress

    12. 12 Lead ECG: Not Yet

    13. BSPM: Not Yet

    14. 
        

• 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. "Multibiomarker Evaluation of the Next-Generation ToR-ORddynCL+Land Model for Drug-Induced Torsadogenic Risk Prediction"  - Plan to Submit to the European Journal of Pharmacology

• Manuscript Preparation

3. "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

• Manuscript Preparation and Plan to Submit to the Archives of Toxicology

4. "Action Potential Foundation model (multi-model transformer)" - collaboration with Fauzan Syarif and Ariyadi

• Make the schematic and understand the knowledge about this topic 

5. "Multi-biomarker analysis using the ToR+Land model" - This paper extends “Improving Biomarker Robustness for in silico Cardiac Safety Assessment through an Excitation-Contraction Coupling Model” (Toxicology and Applied Pharmacology). 

• Manuscript Preparation

6. "Lab-specific validation using the ToR-ORd model" - This paper extends “Integrating Multi-Biomarker in silico Ventricular Cell Models with Ranking Algorithms for Enhanced Prediction of Drug-Induced Cardiac Risk” (Computational Toxicology). 

• Manuscript Preparation

7. "Lab-Specific Validation of Multi-Biomarker-Based in Silico Prediction of Drug-Induced Cardiac Proarrhythmic Risk Using the ToR-ORddynCL Ventricular Model"  -  on hold

• Compute TMS  = done

• Sensitivity Analysis = Done

• Performance evaluation = Done

• Get Calibration drugs = Done

• Lab-spesific validation (nanion and chantest) = Ongoing
  
  
  

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 석사과정 (Master Candidate)

• Research field: Cardiovascular Digital Twin

• E-mail : rahmafatin@kumoh.ac.kr 

Research progress (updated on  09 July 2026): 

1. "Inverse BSP to TMP" - Manuscript preparation 

• Last progress: 

  • Ablation study on composite loss function. Effect on single and combination of loss function

• Next: 

  • Proofread manuscript

2. "Cardiosim" - Website QA and Journal Input 

•  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 (16-07-2026)

1. "Evaluating Multi-Biomarker Integration for Reliable in silico Cardiac Safety Assessment Under Inter-Individual Variability"    

• Manuscript completed.

• Adjust the manuscript format to  Archive of toxicology guidelines

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

• Simulation Under Drug Conditions (done)

• Biomarker extaction Data preparation for OLR simulations. 

3. "Generated mesh for full atrium" 

• Hexa full atrium mesh generation in CardioSim is on hold, awaiting Ariyadi's  update after a reported issue.

• The new heterogeneous ventricle has not yet started.

Next plan : 

• Start OLR simulations and analyze the results.

• 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. Cardiosim-Tox: An Interpretable Multitask Deep Learning QSAR Framework with Multi-Modal Feature Fusion for hERG, Cav1.2, and Nav1.5 Blockade Risk and Potency Prediction - Achives of Toxicology (Under Review)

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

4. ProCMT-QSAR: An Interpretable Target-Aware Protein- Conditioned Multimodal Multi-Task QSAR Model for Toxicity Prediction of Endocrine-Disrupting Chemicals - Manuscript preparation

• 의료 IT 융합 공학과 (Dept. of Medical IT Convergence Engineering)

• 석사과정 (Master Candidate)

• Research field: Molecular Docking and Dynamic Simulation

• E-mail : afrinsanjida246@gmail.com

 Research Progress: 

1.MEA-ADA: MEA-based Adversarial Domain Adaptation for TdP Risk Prediction 

2."Working on PBPK Modeling Software & Simulation Tools."

• 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. "in silico Validation and Quantitative Evaluation of Cardiac Tissue Model Using MEA-Based Experimental Comparison using Trend Similarity and Correlation Score for Cardiac Safety" (with Adnan) - Under discussion with Adnan (deep analysis)

2. "Ordinal Logistic Regression - Based Identification of Proarrhythmic Biomarkers from Two-Dimensional Cardiac Tissue Simulation" - Changing sample options

• 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"