PEOPLE

RESEARCHERS

Aroli Marcellinus (Post Master)

Position: Software Engineer

E-mail: aroli.marcellinus@gmail.com

Aulia Khamas Heikhmakhtiar, PhD

RESEARCH: Cardiac electrophysioloy, Cardiac mechanics, Cardiac mutation modeling from organ to cellular level.

​E-mail: auliakhamas91@kumoh.ac.kr

Journal Papers

10. Comprehensive in-vitro Proarrhythmia Assay (Under Research).

9. Prediction of the Effect of IABP Pumping Phase on Ventricular Unloading via 3D Cardiac Mechanical Model.

(Under Review)

8. Proarrhythmogenic Effect of the L532P and N588K KCNH2 Mutations in the Human Heart using a 3D Electrophysiological Model. (Under Review)

7. Computational Comparison of Ventricular Electromechanical Delay during Sinus Rhythm, Tachycardia, and Fibrillation. (Hindawi) Computational and Mathematical Methods in Medicine. 2020. (In Press).

6. Computational Prediction of the Effect of D172N KCNJ2 Mutation on Ventricular Pumping During Sinus Rhythm and Reentry. (Springer) Medical & Biological Engineering & Computing. (Springer) Medical & Biological Engineering & Computing. 2020.

5. V241F KCNQ1 Mutation shortens Electrical Wavelength and Reduces Ventricular Pumping Capabilities: A Simulation Study with an Electro-mechanical model. Frontiers in Physics. 2018.

4. Computational Prediction of the Combined Effect of CRT and LVAD on Cardiac Electromechanical delay in LBBB and RBBB. (Hindawi) Computational and Mathematical Methods in Medicine. 2018.

3. The Effect of Heart Failure and Left Ventricular Assist Device Treatment on Right Ventricular Mechanics: a Computational Study. (part of Springer Nature) Biomedical Engineering Online. 2018.

2. Influence of LVAD function on mechanical unloading and electromechanical delay: a simulation study. (Springer) Medical & Biological Engineering & Computing. 2017.

1. Computational analysis of pumping efficacy on a left ventricular assist device according to cannulation site in heart failure with valvular regurgitation. (Hindawi) Computational and Mathematical Methods in Medicine. 2016.

Conferences Proceeding Papers

7. Computational study of Arrhythmic Drugs Toxic Level with Electrophysiology Model. Biomedical Engineering Society For Circulation (BESCO) 2019, Seoul (Samsung Hospital), 7, December 2019. Oral Presentation

6. Computational Analysis of Proarrhythmic Estimation under the Influence of Dofetilide, Quinidine, and Cisapride, The 71st Annual Meeting of the Korean Physiological Society, Daegu (Yeungnam University College of Medicine), 31, October-2, November 2019.

5. Computational Prediction of Cardiac Electromechanical Delay under Normal Sinus Rhythm and Arrhythmia Conditions. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Berlin, Germany. July 23 - 27, 2019.

4. Mechanistic Insight into Electro-Mechanical Responses of Human Failing Ventricle under D217N KCNJ2 Mutation during Reentrant: A Simulation Study. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Jeju, South Korea. July 11 – 15, 2017

3. Computational Prediction of the effect of LVAD function on mechanical unloading and electromechanical delay. Pittsburgh, Pennsylvania. 5th International Conference on Computational and Mathematical Biomedical Engineering CMBE 2017 Proceeding. April 10 – 12, 2017

2. Computational Prediction of Effects of LVAD and CRT Treatments on Ventricular Electromechanical Delay. San- Francisco, California. ASAIO 62nd Annual Conference. June 15 – 18, 2016

1. Influence of Mechanical Unloading on Electromechanical Delay: A Simulation Study. Paris, France. 4th International Conference on Computational and Mathematical Biomedical Engineering. 29 June – 1 July 2015

Da Un Jeong (Ph.D student)

RESEARCH: Simulation and interpretation of cardiac arrhythmia.

​E-mail: dawny6960@kumoh.ac.kr

Journal Papers

9. Computational study of phase variance  according to bundle branch block and CRT conditions (under research)

8. Prediction of Ion channel current conductance from action potential shape using machine learning (under research

7. Prediction of Cardiac Pumping Capacity based on Electrical Phenomenological Parameters during Ventricular Tachyarrhythmia: Computational Study (Preparation for submit)

6. Computational Study to Identify the Effects of the KCNJ2 E299V Mutation in Cardiac Pumping Capacity (Submitted)

5. Relationship between Electrical Instability and Pumping Performance during Ventricular Tachyarrhythmia: Computational Study (Under review)

4. Influence of the KCNQ1 S140G Mutation on Human Ventricular Arrhythmogenesis and Pumping Performance: Simulation Study, Frontiers in Physiology (July 2018),
 

3. The effect of myocardial action potential duration on cardiac pumping efficacy: a computational study, Biomedical Engineering Online (June 2018).

2. 급성 심근경색 병변에 따른 심실의 전기 역학적 특성 분석: 컴퓨터 시뮬레이션 연구, 대한의용생체공학회: 의공학회지 (December 2017) - second author.

1. KCNQ1 S140G 돌연변이 발현과 심실세동과의 상관관계 분석을 위한 컴퓨터 시뮬레이션 연구, 대한의용생체공학회: 의공학회지 (June 2017).

Conferences Proceeding Papers

8. Prediction of  Mechanical performance from various electrical instability parameters using machine learning algorithms, Biomedical Engineering Society For Circulation (BESCO) 2019, Seoul (Samsung Hospital), 7, December 2019. Oral Presentation

7. Analysis of phase variance according to bundle branch block conditions using computer simulation,  The Korean Society of Medical and Engineering 2019, Incheon (Paradise City Hotel), 7-9, November 2019. Poster Presentation with 2 min speech

6. Prediction of ion current conduction variation from action potential using artificial neural network, The Korean Society of Medical and Engineering 2019, Incheon (Paradise City Hotel), 7-9, November 2019. Poster Presentation with 2 min speech

5. Computational study to derive the Stochastic Model for Estimation of Mechanical behavior during Ventricular Tachyarrhythmia,  EMBC2019, Berlin (Germany), 23-27, July 2019. Poster Presentation

4. Correlation of Electrical Instability and Mechanical Performance During Ventricular Fibrillation: Computational Study, SMIT2018-IBEC2018, Seoul, 8-10 November 2018

3. Relationship between Electrical Instability and Pumping Performance During Ventricular Fibrillation: Computation study,  45th Computing in Cardiology Conference in Maastricht, The Netherlands. September 23-26, 2018.

2. Prediction of Ventricular Arrhythmia Severity through Variance Analysis for Frequency and Phase of Myocardial Regional Electrical Excitation. KOSOMBE 2018 (대한의용생체공학회 춘계학술대회)

1. Influence of KCNQ1 S140G Mutation on Human Ventricular Arrhythmogenesis and Pumping Performance.  44th Computing in Cardiology Conference in September 24-27, 2017 Rennes, France

Abreha Abebe Tekle (Master's)

RESEARCH: Cardiac electrophysioloy, Machine Learning

​E-mail: ab.habesha@gmail.com

Journal Papers

1. Reentrant Driver Localization using Machine Learning (Preparation for submit)

Conferences Proceeding Papers

5. Computational study to investigate the influence of myocardial fibrosis types and density on ventricular pumping performance. Biomedical Engineering Society For Circulation (BESCO) 2019, Seoul (Samsung Hospital), 7, December 2019. Oral Presentation

4. Effect of various fibrosis patterns on ventricular arrhythmogenesis and pumping efficacy. The 71st Annual Meeting of the Korean Physiological Society, Daegu (Yeungnam University College of Medicine)

 

3. Effect of fibrosis severity on electrical instability and contractile behavior: a computational study. (CMBE-2019), Sendai, Japan

2. Effect of Atrial Fibrosis Severity on Triggering and Sustainability of Atrial Fibrillation: Computational Study. (KOSOMBE-2019), Yeosu, S.Korea

1. Reentrant Driver Localization using Machine Learning. SMIT2018-IBEC2018, Seoul, 8-10 November 2018

Ali Ikhsanul Qauli (Master's)

RESEARCH: Cardiac electrophysioloy

​E-mail:

Journal Papers

Conferences Proceeding Papers

1. Brain Nerve Fiber Simulation as a Fundamental Milestone for Generating Virtual EEG. The Korean Society of Medical and Engineering 2019, Incheon (Paradise City Hotel)

Computational Medicine Laboratory

61 Daehak-ro (yangho-dong), Gumi, Gyeongbuk, [39177] Korea

Tel: +82-54-478-7780

E-mail:kmlim@kumoh.ac.kr

Copyright 2018 computational medicine Laboratory. All rights reserved.