• 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. CardioSim Simulation Platform for cardiac electrophysiology simulation and anti-arrythmic drug assessment - working on the draft for Methods

• 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: 

1. "Enhancing the Predictive Reliability of in silico Cardiac Safety Assessment by Incorporating Heterogeneous Cellular Models" (qNet analysis under multiple cell types from ORd dynamic and ORd static) - Revising the manuscript in response to Reviewers comments – Annals of Biomedical Engineering 

2. "in silico Evaluation of Cardiac Electrophysiological Effects of Mitoxantrone and Ribavirin using the ORd ventricular cell model" - Process to submit

3. "Phenotype Specific in silico Prediction of Drug-Induced Proarrhythmia Across Sex and Heart-Failure Condition" - Submitted to In Vitro Toxicology

4. Evaluation of 28 CiPA Drugs using Grandi in silico Atrial Model - Ongoing simulation

• 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. "Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA Data" - Submitted to Annals of Biomedical Engineering (Current Status: Under Review after Second Revision)

2. "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 (Current Status: Under Review)

3. "A Novel in silico Cardiac Safety Assessment Using Action Potential Shape–Derived Torsadogenic Safety Margins" - Submitted to IEEE journal of Biomedical and Health Informatics (Pharmaceutical Research Journal (Rejected) -> IEEE journal of Biomedical and Health Informatics (Ready to Submit))

4. Lab-Specific Validation using Torsadogenic Safety Margins - Revising how to removing influential drugs, changing how to selecting the best set of drug for calibration, and adding ion channel sensitivity analysis 

5. MEA-DADA: MEA-based Deep Adversarial Domain Adaptation for TdP Risk Prediction - Fixing the Domain acc and Source acc Code in MEA-DADA. 

6. "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) - 1D simulation code are in Validation Process by Byeong Gyu

7. "Greedy Classifier-Based Identification of Proarrhythmic Biomarkers from One-Dimensional Cardiac Tissue Simulation" - 1D simulation code are in Validation Process by Byeong Gyu

• 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 Drug Safety Evaluation Using the ToR-ORd Model" - Submitted to International Journal Pharmaceutics (Current Status: With Editor)

2. "Improving Biomarker Robustness for in silico Cardiac Safety Assessment through an Excitation-Contraction Coupling Model" -Submitted to Archives of Toxicology (Current Status: With Editor)

3. "Validation of the ToR-ORd model revels generational improvements over CiPA-based ORdStatic formulations" - Preparing Manuscript

4. "A Multi-Biomarker Framework Based on CiPAORdv1.0+Land Demonstrates Superior Performance Over the Single-Biomarker qNet Approach" - Preparing manuscript

5. "Integrating Land-Based Mechanics and Multi-Biomarker Evaluation to Improve Predictive Reliability of the ToR-ORd Model" - Prepare for Lab-Specific Validation Process

6. "Multibiomarker Evaluation of the Next-Generation ToR-ORddynCL+Land Model for Drug-Induced Torsadogenic Risk Prediction" - Currently, Multi-biomarker Process

7. "Validation of the ToR-ORddynCL" - On-going simulation

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 석사과정 (Master Candidate)

• Research field: cardiac bio-simulation 

• E-mail : lufirdaus@gmail.com

Research progress:

1. Inverse Electrophysiology-based Reconstruction of Cellular Action Potentialsr for 3D Cardiac Digital Twin Modeling - code development

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 석사과정 (Master Candidate)

• Research field: Cardiovascular Digital Twin

• E-mail : rahmafatin.izza@gmail.com

Research progress: 

1. "Cardiovascular Digital Twin via Optimization of a Windkessel–Baroreflex Model Using Blood Pressure Data" - Preparing manuscript to be submitted to The FASEB Journal

2. "Cardiovascular-Renal-Hormone Digital Twin"  - Code development

3. "0D-1D Cardiovascular System" - Pending

• 의료 IT 융합 공학과 (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" - Submitted to  Cardiovascular Toxicology (Current Status: Peer Review)

2. "Multi-Biomarker Based in silico Drug Cardiac Safety Evaluation Strategy Accounting for Inter-Individual Variability"     - Finished writing manusript and proceeding to internal review stage. Plan to submit to Toxicological Sciences journal  

3. "Lab Implementation and Calibration Using Inter-individual Data" -  On-going simulation 

4. "3D Cardiac Model Simulation Using Pseudo Action Potentials" - Dataset Preparation for 3D Grandi Atrial Model Simulation 

5. "Cardiac Risk Prediction of TdP Risk One Dimensional Cardiac Tissue Simulation"  - waiting for the latest code updates 

• 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. of Medical IT Convergence Engineering)

• 석사과정 (Master Candidate)

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

• E-mail : fauzanresearchermedit@gmail.com

Research progress: 

1. "Consensus-Based QSAR Framework for Enhanced Prediction of Comprehensive Multi-Endpoint Chemical Toxicities" -  Submitted to the Journal of Chemical Information and Modeling

2. "ToxCML: A Consensus q-RASAR–Driven Hybrid Platform Integrating QSAR and Read-Across for Comprehensive Multi-Endpoint Toxicity Prediction." - preparing the manuscript

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

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

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

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

• 석사과정 (Master Candidate)

• Research field : Molecular Docking and Dynamic Simulation

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

Research Progress:

1. Korean Language Program by KGKS

2. "Unveiling the Therapeutic Potential of L-Serine Against Autism Spectrum Disorder: Insights from Network Pharmacology and Molecular Docking " - manuscript preparation

• 의공학과 (Dept. of Biomedical Engineering)

• 석사과정 (Master Candidate)

• Research field: Drug Screening for Cardiac Toxicity Assessment

• E-mail : littleprk59@gmail.com

Research progress:

1. "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 Adnan) - finding a proper value for making 1D simulation (getting error with some drugs)

2. "Greedy Classifier-Based Identification of Proarrhythmic Biomarkers from One-Dimensional Cardiac Tissue Simulation" - 1D simulation code are developing in Adnan

• 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