• 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

• 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

• 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

• IT융합공학과 (Dept. of IT Convergence Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Biomedical Foundation model, Bio-Simulation, and drug screening for cardiac toxicity assessment

• E-mail : hanumulfalatifa@gmail.com
  
  

• 바이오메디컬공학 (Dept. of Biomedical Engineering)

• 박사과정 (Ph.D Candidate)

• Research field: Cardiac toxicity assessment

• E-mail : oliviayosi@kumoh.ac.kr 

• 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

• 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