Chih-Min Liu | Artificial intelligence | Best Researcher Award

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Assist Prof Dr . Chih-Min Liu | Artificial intelligence | Best Researcher Award

Assist Prof Dr. Chih-Min Liu ,Taipei Veterans General Hospital,Taiwan

Chih-Min Liu is a distinguished medical professional affiliated with Taipei Veterans General Hospital in Taiwan.Dr. Liu is a respected member of the medical community, admired for his leadership, expertise, and commitment to advancing healthcare. He continues to inspire his colleagues and students through his innovative research, clinical practice, and educational initiatives.

Professional Profiles:

Orcid

Qualification:

Ph.D. M. D. 2023, National Yang Ming Chiao Tung University 2011, Chung Shan Medical University

Professional Affiliation :

. Member of Taiwan Society of Internal Medicine,.Member of Taiwan Society of Cardiology , Member of Taiwan Heart Rhythm Society,  Member of Asia Pacific Heart Rhythm Society , Member of American Heart Association , Member of American Heart Rhythm Society.

Abstract Presentation :

Heart Rhythm Scientific Session, annually from 2017 to 2023 ,Asia-Pacific Heart Rhythm Society Scientific Session, annually from 2017 to 2022 ,European Society of Cardiology Congress, 2017

Training:

2012~2013 Residency, Medical Education Department, Taichung Veterans General Hospital, Taiwan 2013~2016 Residency, Internal Medicine Department, Taipei Veterans General Hospital, Taiwan 2016~2018 Fellowship of Cardiology and Cardiac Electrophysiology, Taipei Veterans General Hospital, Taiwan 2018-2021 Attending Physician, Hospitalist Ward, Taipei Veterans General Hospital, Taiwan 2021-until now Attending Physician, Heart Rhythm Center, Cardiovascular Division, Taipei Veterans General Hospital, Taiwan

Publications:

  1. Liu CM, Lin CY, Chang SL, Lin YJ, Lo LW, Hu YF, Chao TF, Chung FP, Tuan TC, Liao JN, Chen YY, Te ALD, Yamada S, Kuo L, Li HY, Chang TY, Minh HQ, Salim S, Ba VV, Vicera JJB, Wu CI, Chuang CM, Huang TC, Hsieh YC and Chen SA. Intermediate Pause at Daytime Is Associated With Increased Cardiovascular Risk and Mortality: An 8-Year Cohort Study. Journal of the American Heart Association. 2018 Jun 12;7(12):e009034 (IF: 5.501).
  2.  Liu CM, Lo LW, Lin YJ, Lin CY, Chang SL, Chung FP, Chao TF, Hu YF, Tuan TC, Liao JN, Chen YY, Kuo L, Chang TY, Hoang QM, Salim S, Vicera JJB, Wu CI, Chuang CM, Huang TC and Chen SA. Long-term efficacy and safety of adjunctive ethanol infusion into the vein of Marshall during catheter ablation for nonparoxysmal atrial fibrillation. Journal of cardiovascular electrophysiology. 2019;30:1215-1228 (IF: 2.871).
  3.  Chen HH, Liu CM, Chang SL, Chang PY, Chen WS, Pan YM, Fang ST, Zhan SQ, Chuang CM, Lin YJ, Kuo L, Wu MH, Chen CK, Chang YY, Shiu YC, Chen SA and Lu HH. Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique. International journal of cardiology. 2020;316:272-278. First author-equal contribution (IF: 4.164).
  4.  Liu CM, Chang SL, Chen HH, Chen WS, Lin YJ, Lo LW, Hu YF, Chung FP, Chao TF, Tuan TC, Liao JN, Lin CY, Chang TY, Wu CI, Kuo L, Wu MH, Chen CK, Chang YY, Shiu YC, Lu HH and Chen SA. The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation. Circulation Arrhythmia and electrophysiology. 2020;13:e008518 (IF: 6.572).
  5. . Liu CM, Lin FZ, Chen YC, Lin YK, Lu YY, Wu CI, Higa S, Chen SA and Chen YJ. Concurrent increases in post-pacing action potential duration and contractility predict occurrence of ventricular arrhythmia. Pflugers Arch. 2020;472:1783-1791 (IF 3.657).
  6. Liu CM, Chang SL, Yeh YH, Chung FP, Hu YF, Chou CC, Hung KC, Chang PC, Liao JN, Chan YH, Lo LW, Wu LS, Lin YJ, Wen MS and Chen SA. Enhanced detection of cardiac arrhythmias utilizing 14-day continuous ECG patch monitoring. International journal of cardiology. 2021 Jun 1;332:78-84 (IF: 4.164).
  7. Liu CM, Liu CL, Hu KW, Tseng VS, Chang SL, Lin YJ, Lo LW, Chung FP, Chao TF, Tuan TC, Liao JN, Lin CY, Chang TY, Fann CS, Higa S, Yagi N, Hu YF and Chen SA. A Deep Learning-enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome. Can J Cardiol. 2022 Feb;38(2):152-159 (IF: 5.352).
  8. Liu CM, Shih ESC, Chen JY, Huang CH, Wu IC, Chen PF, Higa S, Yagi N, Hu YF, Hwang MJ and Chen SA. Artificial Intelligence-Enabled Electrocardiogram Improves the Diagnosis and Prediction of Mortality in Patients With Pulmonary Hypertension. JACC: Asia. 2022 Jun, 2 (3_Part_1) 258–270.
  9. Chou PC, Liu CM, Weng CH, Yang KC, Cheng ML, Lin YC, Yang RB, Shyu BC, Shyue SK, Liu JD, Chen SP, Hsiao M and Hu YF. Fibroblasts Drive Metabolic Reprogramming in Pacemaker Cardiomyocytes. Circ Res. 2022;131:6-20. doi: 10.1161/circresaha.121.320301. First author-equal contribution (IF=23.213). 1
  10.  Liu CM, Hsieh ME, Hu YF, Wei TY, Wu IC, Chen PF, Lin YJ, Higa S, Yagi N, Chen SA and Tseng VS. Artificial Intelligence-Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults. Circ Cardiovasc Qual Outcomes. 2022;15:e008360. doi: 10.1161/circoutcomes.121.008360 (IF=8.271).
  11. Liu CM, Lin FJ, Chen YC, Lin YK, Lu YY, Chan CS, Higa S, Chen SA, Chen YJ. Modulation of post-pacing action potential duration and contractile responses on ventricular arrhythmogenesis in chloroquine-induced long QT syndrome. Eur J Pharmacol. 2023;941:175493. doi: 10.1016/j.ejphar.2023.175493 (IF: 5.195).
  12. Liu CM, YC Chen, YF Hu. Harnessing cell reprogramming for cardiac biological pacing. J Biomed Sci. 2023 Aug 26;30(1):74 (IF: 11.0).
  13. Liu CM, Chen WS, Chang SL, Hsieh YC, Hsu YH, Chang HX, Lin YJ, Lo LW, Hu YF, Chung FP, et al. Use of artificial intelligence and I-Score for prediction of recurrence before catheter ablation of atrial fibrillation. International journal of cardiology. 2024:131851. doi: 10.1016/j.ijcard.2024.131851 (IF: 4.164).

Amr Fahil | Geothermal energy | Best Researcher Award

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Dr . Amr Fahil | Geothermal energy | Best Researcher Award

Dr.Amr Fahil ,Tanta University,Egypt

Amr Fahil is a student at Tanta University in Egypt 🎓. Passionate about learning and exploring new opportunities, he is dedicated to pursuing his studies with enthusiasm and determination 📚. With a curious mind and a drive for success, Amr is eager to make a positive impact in his field of study and beyond ✨.

Professional Profiles:

Orcid

Qualification:

2010 – 2014 Doctor of Philosophy in Geology “Geothermics” Between University of North Carolina (UNCW), Wilmington, Earth and Ocean Sciences Department, United States of America (USA) and Geology Department, Faculty of Science, Tanta University, EGYPT Thesis: ‘Potentiality and Structural Modeling of the Geothermal Reservoir Integrating Remote Sensing and GIS Techniques in the Gulf of Suez – Egypt’ Master of Science, M.Sc. (Geology) Geology Department, Faculty of Science, Tanta University, EGYPT Thesis: ‘Structural deformation of the Phanerozoic sedimentary succession of El-Hamrawein surrounding areas, Northwest Red Sea, Eastern Desert, Egypt’ 2005 – 2009 Bachelor of Science, B.Sc., Excellent with honor (Geology) Department of Geology, Faculty of Science, Tanta University, EGYPT Thesis: ‘Granite in Egypt’

Research Interests :

Field mapping – Structural analysis of rift-related areas – Clastic sedimentology – Geothermics – Remote Sensing and Arc GIS Renewable Energy

Experiences:

1. Teaching Experience 2009 – Now Teaching and supervision, Tanta University, EGYPT Petrography of sedimentary rocks, geological and structural maps, photogeology and GIS, engineering geology, Remote Sensing, geochemistry of clastic rocks, micro- and macro-paleontology, field geology, soil mechanics, basin analysis, geotectonic, geophysics, environmental geology, physical geology, mineralogy and crystallography 2. Training Experience Spring 2015 Khalda Petroleum Company, Cairo, EGYPT Fall 2012 AAPG (American Association of Petroleum Geologists) training course including; presentation Skills training; basic open hole logging & formation evaluation; rig safety; rig components & introduction in drilling fluids engineering; way to petroleum industry – operation geology and well site geologist; seismic data Acquisition and, processing and interpretation) Summer 2008 General Petroleum Company (GPC), Gulf of Suez, EGYPT 3. Field Experience (selected fieldtrips) Spring, 2014,2015,2017 Structural analysis and sedimentological studies of the Succession of the Nubian Sandstone to Quaternary deposits, Wadi El Hamrawein, Eastern Desert, EGYPT Spring, 2013 Sedimentological investigation of the area of Baharia Oasis, Western Desert, EGYPT Spring, 2012 Structural investigation of Quseir area, Eastern Desert, EGYPT Fall 2012 Member of AAPG-TUSC to Fayoum Depression, Qarun Lake and Abu Rawash area, West Cairo, EGYPT Spring, 2011 Geological investigation of the area of Quseir area, Eastern Desert, EGYPT Spring, 2010 Geological studies of Marsa Alam area, Red Sea Coast, EGYPT Winter, 2009 Geological investigation of Quseir area, Eastern Desert, EGYPT 4. Analytical/Instrumental Experience Thin-section preparation, staining techniques, point-counting, sieving analysis, soil mechanics, XRD. 5. Software Experience Surfer, Envi, Arc GIS Pro, Corel Draw, Minpit 2.02, Mapinfo, Surpac, Python, Global mapper, Qgis, Base camp, Lucas map, Micromine, LePFROG, IoGas, Dips, Oasis Montaj, Corel drew, Ilustrator, Petrel, Geomatica, Google earth, Google earth engine, Illois, GeoBlock, Geotrace, Albion, Gempy, Madagascar, FreeUSP, FreeDDS, PSEIS-OSS, Rockware, Blender and illustrator.

Publications:

  1. Shebl et al., 2023 – Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data
  2. Alharbi et al., 2023 – Shoreline change rate detection applying the DSAS technique on low and medium resolution data: Case study along Ash Shu’aybah-Al Mujayrimah coastal Area of the Eastern Red Sea, Saudi Arabia
  3. Shebl et al., 2022 – Lithological Discrimination Utilizing Advanced Land Imager: A Case Study From The Egyptian Eastern Desert
  4. Fahil & Ghoneim, 2023 – Assessing the Geothermal Parameters by Integrating Geophysical and Geospatial Techniques at Siwa Oasis, Western Desert, Egypt
  5. Fahil & Ghoneim, 2023 – Detecting Potential Geothermal Sites by Using Well Logging, Geophysical and Remote Sensing Data at Siwa Oasis, Western Desert, Egypt
  6. Alharbi et al., 2023 – Shoreline change rate detection using DSAS technique: Case along Ash Shu’aybah-Al Mujayrimah coastal Area of the Eastern Red Sea, Saudi Arabia
  7. Fahil et al., 2020 – Integration of Well Logging and Remote Sensing Data for Detecting Potential Geothermal Sites along the Gulf of Suez, Egypt
  8. Fahil et al., 2020 – Identification of Potential Hydrothermal Mineralization Zones Associated with Geothermal Hotspot Waters Using Geospatial Analysis Techniques and Worldview-3 Imagery at Ayn Musa Region, Northwestern Sinai, Egypt
  9. Noweir et al., 2020 – Integration and Analysis of Well Logging and Remote Sensing Data for Exploring New Potential Geothermal Sites Along the Gulf of Suez, Egypt
  10. Fahil et al., 2020 – Structural and Geospatial Analysis for Discovering New Geothermal Fields Along the Gulf of Suez Rift, Egypt
  11. Noweir et al., 2019 – Integrating Remote Sensing and Field Data for Geothermal Energy Exploration in the Gulf of Suez, Egypt
  12. Fahil et al., 2019 – Using Satellite Remote Sensing and GIS Modeling to Detect New Potential Sites for Geothermal Energy Along the Gulf of Suez Rift, Egypt
  13. Fheel, 2014 – Structural deformation of the Phanerozoic sedimentary succession of El-Hamrawein surrounding areas, Northwest Red Sea, Eastern Desert, Egypt
  14. Noweir & Fheel, 2014 – Structural evolution of extensional Phanerozoic Rift blocks: El-Hamrawein area, Northwest Red Sea, Eastern Desert, Egypt