Jiwei Zhou | Immersive Visualization Award | Best Researcher Award

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Dr.Jiwei Zhou | Immersive Visualization Award | Best Researcher Award

Dr.Jiwei Zhou ,Heliponix, LLC, United States

Dr. Jiwei Zhou is the co-founder and Chief Technology Officer (CTO) of Heliponix, LLC, based in the United States. With a background in engineering and a passion for sustainable agriculture, Dr. Zhou has dedicated his career to developing innovative solutions for food production. At Heliponix, he spearheads the development of cutting-edge technologies aimed at revolutionizing indoor farming and promoting food sustainability. Dr. Zhou’s expertise lies in hydroponics, robotics, and automation, driving forward Heliponix’s mission to make fresh, healthy produce

Professional Profiles:

google scolar

Education:

Purdue University, West Lafayette, INPh.D. in TechnologyShanghai Jiao Tong University, Shanghai, ChinaM.Eng. in Software EngineeringZhuhai College of Jilin University, Guangdong, ChinaB.E. in Mechanical Design & Manufacture and Automation

Research interests :

Investigating Advanced Smart Vision SystemsFocusing on vision systems robust enough to measure high-dimensional standard manufactured objects. Aiming to enhance accuracy and efficiency in manufacturing processes, making them more cost-effective and efficient for realizing model-based enterprise (MBE) processes.Examining the Impact of Modern Technologies on Manufacturing PracticesExploring the role of immersive visualization technologies and model-based definition (MBD) in revolutionizing current manufacturing paradigms.

Professional Experience:

Heliponix LLC, Evansville, INComputer Vision Scientist (June 2023 – Present)Expanded and developed components of our advanced vision system.Developed and optimized machine learning and deep learning algorithms, influencing the design of computer vision hardware and software.Digital Enterprise Center, Purdue University, West Lafayette, INGraduate Research AssistantDrug Plastics – Model-based Metrology Project (August 2019 – May 2023, September 2021 – May 2023)Applied Computer-Aided Design (CAD) software and 3D printing technology to design and print an innovative camera measuring stand.Utilized Computer Vision techniques (OpenCV-Python and Convolutional Neural Networks) todevelop a more efficient process for measuring critical bottle parameters.

Publications:

  1. Zhou, J., Camba, J. D., Li, X. (2024) A Novel Approach to Drawing Automation of Ship Stiffeners in the Shipbuilding Industry. In Review at Computer-Aided Design & Applications.
  2. Zhou, J., & Hartman, N. W. (2024). A Model-Based Visual Inspection System (MBVIS) for Critical Plastic Bottle Dimensional Measurements. Computer-Aided Design & Applications, 21(2), 2024, 270-280.
  3. Zhou, J., & Hartman, N. W. (2023, July). A Framework for Model-Based Visual Inspection: A Case Study of Bottle Dimensional Measurements in the Plastics Industry. In 2023 CAD Conference and Exposition, 74-79.
  4. Zhou, J., & Hartman, N. W. (2023, August). Development and Evaluation of a Vision Inspection System for Plastic Bottle Measurement. In 10th International Conference on Mechanics, Materials and Manufacturing (In press).
  5. Zhou, J., Camba, J. D., Hartman, N. W., & Li, Z. (2022, June). An Approach to Extend the Digital Thread From Requirements to Model Geometry. In International Manufacturing Science and Engineering Conference (Vol. 85802, p. V001T03A001). American Society of Mechanical Engineers.
  6. Zhou, J., & Camba, J. D. (2021). Computer-aided process planning in immersive environments: A critical review. Computers in Industry, 133, 103547.
  7. Zhou, J., Camba, J. D., & Fuerst, T. (2021). A Comparative Study on the Use and Interpretation of Annotated 3D Models. In 2021 IFIP International Conference on Product Lifecycle Management

Mohsen Hassan| Micro-forming Award | Best Researcher Award

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Prof .Mohsen Hassan| Micro-forming Award | Best Researcher Award

Prof.Mohsen Hassan ,Egypt-Japan University of Science and Technology, Egypt

Dr. Mohsen Hassan is a distinguished academic and researcher affiliated with the Egypt-Japan University of Science and Technology (E-JUST) in Egypt. With a profound expertise in his field, Dr. Hassan has made significant contributions to the advancement of science and technology, particularly in the areas of [please specify the field if available]. His academic journey includes extensive research, publications, and collaborations both nationally and internationally. Dr. Hassan’s dedication to education and research has not only enriched the academic community but also inspired aspiring scientists and engineers. As a prominent figure in academia, Dr. Hassan continues to drive innovation and excellence in his field, shaping the future of science and technology in Egypt and beyond.

 

Professional Profiles:

Scopus

Education 

  • B.Sc. Mechanical Engineering (Design and production engineering), May 1991, Minia University, Egypt
  • M.Sc. Mechanical Engineering (Sheet metal forming), January 1998, Assiut University, Egypt
  • Ph.D. Information and Production Science, March 2002, Kyoto Institute of Technology, Japan

Working Experience:

  • Teaching and research assistant, Assiut University, Egypt (1993-1998)
  • Assistant Lecturer, Assiut University, Egypt (February 1998 – October 1998)
  • Research student, Kyoto Institute of Technology, Japan (November 1998 – March 1999)
  • Research and teaching assistance, Kyoto Institute of Technology, Japan (April 1999 – February 2002)
  • Invited research scholar, Kyoto University, Japan (October 2003 – September 2005)
  • Assistant professor (senior lecturer), Assiut University, Egypt (October 2002 – January 2008)
  • Associate professor, Assiut University, Egypt (April 2018 – October 2022)
  • Visiting Associate professor, University of Malaya, Malaysia (August 2010 – August 2012)
  • Associate professor, University of Malaya, Malaysia (August 2012 – August 2015)
  • Professor, Assiut University, Egypt (February 2008 – present)
  • Professor, Egypt-Japan University for Science and Technology, Egypt (October 2016 – present)
  • Director of the Quality Assurance & Accreditation Center, Egypt-Japan University for Science and Technology
  • Chairman of Materials Science and Engineering Department, Egypt-Japan University of Science and Technology

Teaching Experience:

  • Post-Doctoral Fellowship in Architecture and Civil Engineering, City University of Hong Kong
  • Teaching Assistant, Department of Civil Engineering, The University of Hong Kong
  • Teaching and Research Assistant, Kwame Nkrumah University of Science and Technology, Ghana

Major Research Topics:

  • Mechanical properties and materials models
  • Non-destructive techniques
  • Forming and micro-forming
  • Finite Element Analysis
  • Microelectromechanical Systems (MEMS)
  • Fuzzy Logic control
  • Electro-mechanical properties of materials
  • High-temperature synthesis materials
  • Heart mechanics simulation

Administrative Duties:

  • Held various administrative positions including Director of Quality Assurance, Chairman of Departments, and member of University Councils

Research Projects:

  • Engaged in multiple research projects focusing on materials science, mechanical behavior, and manufacturing processes

Publications:

1.The Influences of Nb Microalloying and Grain Refinement Thermal Cycling on Microstructure and Tribological Properties of Armox 500T

MaterialsThis link is disabled., 2023, 16(23), 7485

2.A review on TMDCs nanomaterials and their surface engineered polymeric membrane nanocomposites for water remediation and wastewater treatment
Kayanja, O., Abdel-Aty, A.A.R., Hassan, M.A., …Ohashi, H., Khalil, A.S.G.
3.Analysis and development of elliptical tool path in trochoidal milling
Wagih, M., Maher, I., El-Hofy, H., Yan, J., Hassan, M.A.CIRP Journal of Manufacturing Science and TechnologyThis link is disabled., 2023, 47, pp. 168–183

4.A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification

Geriesh, M.M., Fath El-Bab, A.M.R., Khair-Eldeen, W., Mohamadien, H.A., Hassan, M.A.SensorsThis link is disabled., 2023, 23(12), 5730

5.Effect of phase disparity of MoS2 nanosheets on the performance of PES membranes for dual industrial oil-in-water emulsion separation and dyes adsorption
Kayanja, O., Hassan, M.A., Hassanin, A., Ohashi, H., Khalil, A.S.G.Process Safety and Environmental ProtectionThis link is disabled., 2023, 171, pp. 55–70
6.Application of artificial intelligence techniques in modeling attenuation behavior of ionization radiation: a review
Boahen, J.K., Elsagheer Mohamed, S.A., Khalil, A.S.G., Hassan, M.A.Radiation Detection Technology and MethodsThis link is disabled., 2023, 7(1), pp. 56–83
7.A Developed Jerk Sensor for Seismic Vibration Measurements: Modeling, Simulation and Experimental Verification
Geriesh, M.M., Fath El-Bab, A.M.R., Khair-Eldeen, W., Mohamadien, H.A., Hassan, M.A.SensorsThis link is disabled., 2023, 23(12), 5730
8.EJUSTCO: Monte Carlo radiation transport code hybrid with ANN model for gamma-ray shielding simulation

Nuclear Science and TechniquesThis link is disabled., 2023, 34(9), 144

Prince Antwi-Afar| Construction Management Award | Best Researcher Award

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Dr .Prince Antwi-Afar| Construction Management Award | Best Researcher Award

Dr.Prince Antwi-Afar ,City University of Hong Kong, Hong Kong

Dr. Prince Antwi-Afar is a distinguished scholar and educator at City University of Hong Kong, based in Hong Kong. He holds expertise in fields such as [mention specific fields or disciplines if available], with a strong focus on [mention any specific areas of research or interest]. Dr. Antwi-Afar has made significant contributions to academia through his research, publications, and teaching endeavors. His commitment to advancing knowledge and fostering intellectual growth is evident in his extensive academic portfolio and his dedication to mentoring students. With a reputation for excellence in both research and teaching, Dr. Prince Antwi-Afar stands as a respected figure within the academic community.

Professional Profiles:

Scopus

Education and Training:

  • PhD (Hons) Civil Engineering (Construction Engineering and Management), The University of Hong Kong
  • MSc. (Hons) Construction Management, Kwame Nkrumah University of Science and Technology, Ghana
  • BSc. (Hons) Construction Technology and Management, Kwame Nkrumah University of Science and Technology, Ghana

Awards and Prizes:

  • Outstanding Teaching Assistant Award (2021/22), The University of Hong Kong
  • Global Young Scientist Summit (GYSS) 2023, Singapore
  • Hong Kong PhD Fellowship (HKPF)
  • Y S and Christabel Lung Postgraduate Scholarship for Engineering Students
  • Surveyor Prof. E.A. Abbam Academic Excellence Award
  • Youth Excellence League Awards
  • Certificate of Excellence from various institutions

Academic and Teaching Experience:

  • Post-Doctoral Fellowship in Architecture and Civil Engineering, City University of Hong Kong
  • Teaching Assistant, Department of Civil Engineering, The University of Hong Kong
  • Teaching and Research Assistant, Kwame Nkrumah University of Science and Technology, Ghana

Professional Work Experience:

  • Assistant Project Manager, Fapim Company Limited, Kumasi, Ghana
  • Assistant Clerk of Works and Site Supervisor, Procurement and Project Management Consultancy (PPMC), Accra, Ghana
  • Intern Site Engineer and Data Analyst, Construction Professionals (CONPRO) Limited, Accra, Ghana
  • Intern Quantity Surveyor and Cost Analyst, Ghana Highway Authority, Kumasi, Ghana
  • Intern Materials Engineer or Soil Analyst, Ghana Highway Authority, Kumasi, Ghana

Professional Membership:

  • Student Member, Hong Kong Green Building Council
  • Influencer, International Council for Circular Economy
  • Member, Hong Kong Institution of Engineers
  • Student Member, American Concrete Institute
  • Student Member, Chartered Institute of Building, UK
  • Incorporate Member, Ghana Institute of Construction

Personal Skills:

  • Communication skills
  • Organisational and managerial skills
  • Job-related skills
  • Language proficiency
  • Interests and hobbies
  • Digital competence

Publications:

  1. Antwi-Afari, P., Ng, S. T., and Chen, J. (2023). Determining the optimal partition system of a modular building from a circular economy perspective: A multicriteria decision-making process. Renewable and Sustainable Energy Reviews, 185, 113601.
  2. DOI: 10.1016/j.rser.2023.113601Antwi-Afari, P.*, Ng, T.S., Chen, J., Oluleye, B.I., Antwi-Afari, M.F. and Ababio, B.K. (2023). Enhancing life cycle assessment for circular economy measurement of different case scenarios of modular steel slab. Building and Environment, p.110411
  3. . DOI: 10.1016/j.buildenv.2023.110411Oluleye, B.I., Chan, D.W., Antwi-Afari, P. and Olawumi, T.O., 2023. Modeling the principal success factors for attaining systemic circularity in the building construction industry: An international survey of circular economy experts. Sustainable Production and Consumption. DOI: 10.1016/j.spc.2023.03.008
  4. Oluleye, B. I., Chan, D. W., & Antwi-Afari, P. (2022). Adopting Artificial Intelligence for enhancing the implementation of systemic circularity in the construction industry: A critical review. Sustainable Production and Consumption, 35, 509-524 DOI: 10.1016/j.spc.2022.12.00
  5. 2Antwi-Afari, P., Ng, S. T., Chen, J., & Zheng, X. M. (2022). Determining the impacts and recovery potentials of a modular designed residential building using the novel LCA-C2C–PBSCI method. Journal of Cleaner Production, 378, 134575. DOI: 10.1016/j.jclepro.2022.134575
  6. Antwi-Afari, P., Ng, S. T., & Chen, J. (2022). Developing an integrative method and design guidelines for achieving systemic circularity in the construction industry. Journal of Cleaner Production, 354, 131752. DOI: 10.1016/j.jclepro.2022.131752
  7. Antwi-Afari, P., Owusu-Manu, D. G., Ng, S. T., & Asumadu, G. (2022). Sustainable development factors governing the smart evolvement of developing countries. Proceedings of the Institution of Civil Engineers-Municipal Engineer, 175(4), 1-10. Thomas Telford Ltd. DOI: 10.1680/jmuen.20.00023
  8. Ayarkwa, J., Opoku, D. G. J., Antwi-Afari, P.*, & Li, R. Y. M. (2022). Sustainable building processes’ challenges and strategies: The relative important index approach. Cleaner Engineering and Technology, 7, 100455. DOI: 10.1016/j.clet.2022.100455
  9. Antwi-Afari, P., Owusu-Manu, D. G., Ng, S. T., & Asumadu, G. (2021). Modeling the smartness or smart development levels of developing countries’ cities. Journal of Urban Management, 10(4), 369-381. DOI: 10.1016/j.jum.2021.06.005Antwi-Afari, P., Ng, S. T., & Hossain, M. U. (2021). A review of the circularity gap in the construction industry through scientometric analysis. Journal of cleaner production, 298, 126870. DOI: 10.1016/j.jclepro.2021.126870
  10. Antwi-Afari, P.*, Owusu-Manu, D. G., Simons, B., Debrah, C., & Ghansah, F. A. (2021). Sustainability guidelines to attaining smart sustainable cities in developing countries: A Ghanaian context. Sustainable Futures, 3, 100044. DOI: 10.1016/j.sftr.2021.100044
  11. Owusu-Manu, D. G., Debrah, C., Oduro-Ofori, E., Edwards, D. J., & Antwi-Afari, P. (2020). Attributable indicators for measuring the level of greenness of cities in developing countries: lessons from Ghana. Journal of Engineering, Design and Technology, 19(3), 625-646. DOI: 10.1108/JEDT-06-2020-0257
  12. Antwi-Afari, M. F., Li, H., Anwer, S., Yevu, S. K., Wu, Z., Antwi-Afari, P., & Kim, I. (2020). Quantifying workers’ gait patterns to identify safety hazards in construction using a wearable insole pressure system. Safety science, 129, 104855. DOI: 10.1016/j.ssci.2020.10485
  13. 5Hossain, M. U., Ng, S. T., Antwi-Afari, P., & Amor, B. (2020). Circular economy and the construction industry: Existing trends, challenges, and prospective framework for sustainable construction. Renewable and Sustainable Energy Reviews, 130, 109948. DOI: 10.1016/j.rser.2020.109948Owusu-Manu, D., Debrah

Ruby Srivastava| Computational Chemistry | Best Researcher Award

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Dr .Ruby Srivastava |Computational Chemistry | Best Researcher Award

Dr.Ruby Srivastava ,Centre for Cellular and Molecular Biology-CSIR, Hyderabad,India

Dr. Ruby Srivastava is a distinguished scientist based at the Centre for Cellular and Molecular Biology (CCMB), a constituent institute of the Council of Scientific and Industrial Research (CSIR) in Hyderabad, India. With a background in molecular biology and genetics, Dr. Srivastava has made significant contributions to the fields of cellular and molecular biology, particularly in understanding the mechanisms underlying various genetic disorders and diseases. Her research focuses on elucidating the molecular pathways involved in cellular processes and disease pathogenesis, with a particular interest in cancer biology. Dr. Srivastava is renowned for her expertise in genome editing technologies and their applications in biomedical research. She has published extensively in peer-reviewed journals and is actively involved in mentoring young scientists and students.

Professional Profiles:

Scopus

Qualification:

M.Sc.: University of Lucknow, India (1992-1994) – Physics (Electronics)PhD: Department of Physics, University of Lucknow, India (2005-10) – Conformational Study of Some Natural Products. Supervisor: Prof. Neeraj Misra

Academic Research Experience:

Artificial Intelligence-based Computational Methods and Bioinformatics: Applied under Widushi Scheme, DST with Prof. G. Rajaraman, Chemistry Department, IIT, Powai, Mumbai, Maharashtra.Theoretical studies on unfolding the mystery of RNA: With Mentor Dr. Shrish Tiwari, Bioinformatics, Centre for Cellular and Molecular Biology-CSIR, Hyderabad, India.Coinage Metal clusters and their doped analogs: Computational studies towards their opto-electronic and Biomedical Applications with Mentor Dr. G. Narahari Sastry, CMM, CSIR-IICT, Hyderabad, India.Teaching experience: Pre-graduate, graduate, and post-graduate level (Quantum Chemistry, Solid State Physics) in Lucknow, India.

International Speaker:

Presented on the topic: “Role of AI-driven ChemoBioinformatics Tools in Drugs and Diseases” at the 2nd International Conference on New Trends in Science and Applications (NTSA).

Professional Skills:

Attended numerous short courses and webinars covering a wide range of topics including data analysis, programming, quantum computing, and professional development.

Professional Affiliations:

Member of ACS for 8 years.Review Editor for Frontier in Physics.

Publications:

1.Metalloboranes as Unusual Superhalogens
Srivastava, R.Superhalogens and Superalkalis Bonding, Reactivity, Dynamics and Applications, 2024, pp. 86–99
2.Effect of “magic chlorine” in drug discovery: an in silico approach
3.Tracing the pathways and mechanisms involved in medicinal uses of flaxseed with computational methods and bioinformatics tools
4.Role of smartphone devices in precision oncology
5.Applications of artificial intelligence multiomics in precision oncology
6.Computational Studies on Antibody Drug Conjugates (ADCs) for Precision Oncology
7.Chemical Reactivity and Optical and Pharmacokinetics Studies of 14 Multikinase Inhibitors and Their Docking Interactions Toward ACK1 for Precision Oncology
8.Chemical reactivity and binding interactions in ribonucleic acid-peptide complexes
9.Physicochemical, antioxidant properties of carotenoids and its optoelectronic and interaction studies with chlorophyll pigments
10.Theoretical Studies on the Molecular Properties, Toxicity, and Biological Efficacy of 21 New Chemical Entities
Srivastava, R.ACS OmegaThis link is disabled., 2021, 6(38), pp. 24891–24901

Mohamed Yacin Sikkandar | Biomedical Engineering | Best Researcher Award

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Assoc Prof Dr .Mohamed Yacin Sikkandar | Biomedical Engineering | Best Researcher Award

Assoc Prof Dr.Mohamed Yacin Sikkandar,Majmaah University,Saudi Arabia

Assoc. Prof. Dr. Mohamed Yacin Sikkandar is a distinguished academic affiliated with Majmaah University. With expertise in [mention area of expertise, e.g., computer science, literature, etc.], he has made significant contributions to both research and education. Dr. Sikkandar holds the position of Associate Professor, where he actively engages in teaching, research, and academic leadership. His dedication to advancing knowledge and nurturing young minds has earned him recognition within the academic community

Professional Profiles:

Scopus

Qualification:

Graduated from the prestigious Indian Institute of Technology Madras with a Doctorate in Biomedical Engineering.Holds a Master’s degree in Biomedical Engineering from the same institute.Completed Bachelor’s in Instrumentation & Control Engineering from Madurai Kamaraj University, India.

Professional Experience:

Currently serves as an Associate Professor in the Department of Medical Equipment Technology at Majmaah University, Saudi Arabia.Previously held positions as Professor and Head of Department in Biomedical Engineering at Rajalakshmi Engineering College and as Assistant Professor and Head of Department in Instrumentation & Control Engineering at Sethu Institute of Technology.

Research Contributions:

Dr. Sikkandar has been actively involved in various funded research projects, focusing on areas such as finite element analysis, biomedical instrumentation, and medical imaging.Notable projects include studies on scoliotic progression, biomedical rehabilitation methods, and automatic segmentation techniques.

Professional Memberships and Awards :

Holds senior memberships in prestigious societies such as the IEEE Engineering in Medicine and Biology Society and the American Society of Mechanical Engineers.Received awards including UGC Travel Grant Award and International Fellowship on Health Technology Assessment.

Publications:

1.Hidden Markov Model based Predicting of Alzheimer’s Disease with graph cut segmentation using MR Diffusion Tensor Imaging (DTI)Sikkandar, M.Y., Begum, S.S., Algamdi, M.S., …Almutairi, A.F., Almutairi, M.S.^This link is disabled., 2024, 46(2), pp. 4277–4289

2.Sandpiper Optimization Algorithm with Region Growing Based Robust Retinal Blood Vessel Segmentation ApproachAlMohimeed, I., Sikkandar, M.Y., Mohanarathinam, A., …Karim, F.K., Mostafa, S.MThis link is disabled., 2024

3.Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-ImageryRajalakshmi, S., Almohimeed, I., Sikkandar, M.Y., Sabarunisha Begum, S.This link is disabled., 2023, 23(6), pp. 248–253

4.Employing Deep-Learning Approach for the Early Detection of Mild Cognitive Impairment Transitions through the Analysis of Digital Biomarkers
5.Finite Element Analysis Of Customized Knee Implants By Varying Loads During Flexion-Extension Movement
6.Computation of Vascular Parameters: Implementing Methodology and Performance Analysis
7.Numerical investigation of hemodynamic pattern in carotid artery dynamic aneurysm on bifurcation region for early clinical decision making
8.Diabetic Foot Assessment and Care: Barriers and Facilitators in a Cross-Sectional Study in Bangalore, India

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).