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

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).