• 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 (30/April/2026)

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

• Under review -  In silico Pharmacology Journal (2 April2026)

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

   • Under review -  Toxicological Research Journal (1 April 2026)

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

• With Editor  Biomedical Engineering Letter (17 April 2026)

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

• Manuscript preparation 

• Next plan : Story of the manuscript, figures, tables , framework 1 (T0 - T2) performance, analyze individual performance, concentration of drug for each timepoint

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

• Previous result : The classification performance of the 72 drugs with TdP and No TdP label into OLR, ANN, XGBoost, and Random Forest models did not demonstrate superiority

• Next plan :  (a). 160 drugs under ORd in silico model with TdP and No TdP label. (b) ToRd-ORd in silico model

• 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. "Validation of in silico Cardiac Safety Assessment Using Trend Similarity and Pearson Correlation with hiPSC-Derived in vitro Data" - Submitted to Annals of Biomedical Engineering (Rejected) -> Biomedical Engineering Letters (Current Status: Manuscript Revision Done)

2. "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

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 in collaboration with NEXEL” - Still in the Literature Study

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

9. Broshure:

   1. CardioSim: DONE

   2. ToxCML: DONE

   3. BioPulse: Working in progress for the New Version

10. Video Advertisement:

    1. CardioSim: Concept Preparation

    2. BioPulse: Still in Rendering

11. BioPulse Tutorial Video:

    1. Single Lead ECG: Still in Editing process for the New Version

    2. PCG: Waiting Screen Record

    3. PPG: Waiting Screen Record

    4. EMG & Myometer: Waiting Screen Record

    5. Spirometer: Waiting Screen Record

    6. Body Temperature: Not Yet

    7. EOG: Not Yet

    8. V-PPG: Not Yet

    9. FeO2: Not Yet

    10. PPG / SpO2: Not Yet

    11. 16 Ch. EEG: Not Yet

    12. NIBP: Not Yet

    13. Stethoscope: Not Yet

    14. 12 Lead ECG: 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. "Multi-Biomarker Based in silico Prediction of Drug-Induced Cardiac Proarrhythmic Risk Using the ToR-ORd Ventricular Model." - Plan to submit to the Computational Toxicology

• Internal Manuscript Revision - Already sent it to the Professor

2. "Improving Biomarker Robustness for in silico Cardiac Safety Assessment through an Excitation-Contraction Coupling Model."

• Toxicology and Applied Pharmacology (Under Review) - 2026/04/25

3. "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) - 2026/04/28

4. "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

• Grammar checking and addition of a new figure from sensitivity analysis and biomarker correlation analysis - Ongoing

5. "Accounting for lab-to-lab variability in CiPA-based multi-biomarker drug risk assessments identifies robust alternative torsadogenic metrics."  - Collaboration with Dr Ali Ikhsanul Qauli

• Manuscript Preparation
  - Introduction and Discussion Section
  - Supplementary Material
  - Managed and pushed the source code to a GitHub repository.

6. "Lab-Specific Validation of Multi-Biomarker-Based in Silico Prediction of Drug-Induced Cardiac Proarrhythmic Risk Using the ToR-ORddynCL Ventricular Model"  
   - 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.izza@gmail.com

Research progress (updated on 14 May 2026): 

1. "Cardiovascular Digital Twin via Optimization of a Windkessel–Baroreflex Model Using Blood Pressure Data"

   • Submitted to Biomedical Engineering Letters (Accepted - 21 April)

2. "Inverse BSP to TMP" 

• Last progress: 

  • Inversed of 28 CiPA drugs. 

• Next Plan: 

  • Stability and Uncertainty analysis

•  바이오메디컬공학 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

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

• E-mail :  yosiolvia10@gmail.com

Research progress :

1. "Incorporating Inter-Individual Variability to Improve the Reliability of Predicted Outcomes in in silico Cardiac Safety Assessment"

• Published (22-04-2026)

2. "Multi-Biomarker Based in silico Drug Cardiac Safety Evaluation Strategy Accounting for Inter-Individual Variability"    

• Currently revising the manuscript 

• Plan to submit to Toxicological Sciences 

3. "Lab Implementation  Using Inter-individual Data" 

• Simulation using chantest dataset   (pending - waiting code update by Ariyadi) 

4. "2D Cardiac Tissue Simulations accounting for Inter-individual Variability" 

• Inter-Individual Simulations Under Drug-Free Conditions (done)

• Dataset preparation for Hill, hERG, and initial simulation values using median values (done)

• Simulation Under Drug Conditions (on-progress)

5. "Ventricle mesh & Purkinje fiber mesh validation"

• Purkinje fiber mesh validation : done for both ventricle 

• Generated of heterogeneous cell types in the new ventricular model: Simulation Completed by Ana 

• 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: Network pharmacology, molecular docking, QSAR chemoinformatics, and digital twin development. 

• E-mail : fauzanresearchermedit@gmail.com

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

1. "Interpretable Multi-Modality Consensus QSAR Framework: Integrating Machine and Deep Learning for Enhanced Multi-Endpoint Toxicity Assessment" -  Toxicology Mechanisms and Methods (https://www.tandfonline.com/doi/full/10.1080/15376516.2026.2643659)

2. "ToxCML: A Hybrid mfCoQ-RASAR-Based Platform Integrating Consensus QSAR and Read-Across for Comprehensive Multi-Endpoint Toxicity Assessment" - Journal of Chemical Information and Modelling (https://pubs.acs.org/doi/10.1021/acs.jcim.6c00357)

3. "Unveiling the Therapeutic Potential of L-Serine Against Autism Spectrum Disorder: Insights from Network Pharmacology and Molecular Docking " - preparing the manuscript (pending) 

4. "Adaptive MRI-Guided Digital Twin for Personalized Simulation of Breast Tumor Progression and Therapeutic Response" - development of the mathematical model and code implementation (collaboration with Nurul)

5. 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 - Manuscript preparation

6. Transcriptomics-Based Single-Cell Foundation Model Fine-Tuning for Accurate Task-Specific Prediction of Cell Annotation and Genetic Perturbation Response - Will be presented in KOSOMBE Spring Conference 2026 

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

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. Korean Language Program by KGKS

• 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) - Expanding research to Tomek model, bidomain.

2. "Greedy Classifier-Based Identification of Proarrhythmic Biomarkers from One-Dimensional Cardiac Tissue Simulation" - Model Development (Train / validation)

• 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" - EEG heatmap GUI

2. "CardioSim software implementation" - Waiting for other module to implement