Recent Performance

• Sheng-Nan Chang, Nian-Ze Hu*, Jo-Hsuan Wu, Hsun-Mao Cheng, James L. Caffrey, Hsi-Yu Yu, Yih-Sharng Chen, Jiun Hsu*, Jou-Wei Lin, (2023), Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation – a random forest approach, European Journal of Medical Research.  (SCIE)
• Lichun You, Nianzu Hu*, Qianlu Cai, S. (2022). Dynamic Analysis of Different Squatting Starting Movements, Chinese Journal of Sports Biomechanics, Vol. 19, No. 2, pp. 25-31. (TSSCI)
• Kuo-Wei Chao, Nian-Ze Hu*, Yi-Chu Chao, Chin-Kai Su and Wei-Hang Chiu (2019).
  Implementation of Artificial Intelligence for Classification of Frogs in Bioacoustics, Symmetry, 2019, 11, 1454.
  (SCIE)
• Yuan Chun Lo, Nian Ze Hu, Po Hsu Chen, Ying Ling Chen, Mark C Hou* and Tai Wei Kuo (2018).
  Clinical Effect of Traditional Chinese Medicine on Knee Pain: A Nationwide Population-Based Cohort Study, Journal of Complementary Medicine & Alternative Healthcare, Vol.5, Issue 2, Jan 2018.

• Liang-Yin Kuo, Nian-Ze Hu & Pei-Yiing Ni, Smart Machines Apply Virtual Reality Technology to Immersive Learning Application (2023, Nov.), International Conference on Innovation, Communication and Engineering, Bangkok, Thailand.
• Nian-Ze Hu; Qi-Ren Lin; Ruo-Wei Wu; You-Xing Zeng; Bo-an Lin; Shang-Wei Liu; Kai- Hsun Hsu; Jeng-Dao Lee; Ying-Hsiu Hung; Chun-Min Tsai (2022, Oct).
  An intelligent robotic arm grasp and control system capable of determining the angle of objects.
  IEEE ECICE 2022.
• Nian-Ze Hu; You-Xing Zeng; Bo-An Lin; Ruo-Wei Wu; You-Shin Lin; Kai-Hsun Hsu; Shang-Wei Liu; Tun-Chuan Chang; Chun-Min Tsai (2022, Oct).
  Prediction of remaining battery life for light vehicles.
  IEEE ECICE 2022.
• Nian-Ze Hu; Kai-Hsun Hsu; Jieh-Tsyr Chuang; Shang-Wei Liu; Ruo-Wei Wu; CHIA-CHEN KUO; Jeng-Dao Lee (2021, Oct).
  Design a Fast Loading and Unloading Robot Controlling System by WebAPI Technique.
  IEEE Eurasia Conference on IOT, Communication and Engineering 2021.
• Nian-Ze Hu; Shang-Wei Liu; Kai-Hsun Hsu; Ruo-Wei Wu; Zheng-Han Shi; Jieh- Tsyr Chuang; You-Xing Zeng; LI-CHIUAN TUNG; Jeng-Dao Lee (2021, Oct).
  Develop an Abnormal Detection System of Rotating Equipment by Edge Computing.
  IEEE Eurasia Conference on IOT, Communication and ngineering 2021.
• Ching-Ying Yeh, Zheng-Han Shi, Jieh-Tsyr Chuang, Kai-Hsun Hsu, Shang-Wei Liu, Ruo-Wei Wu, Ching-Hsiang Yang, Nian-Ze Hu, Jeng-Dao Lee (2020, Oct).
  Use 3D Cameras and Algorithms to Develop Multi-Angle Gripping Robotic Arm Movement and Control Methods .
  IEEE ECICE 2020.
• Kuo-Wei Chao, Wei-Hang Chiu, Yi-Chu Chao and Chin-Kai Su and Nian-Ze Hu* (2019, Sep).
  Using machine learning method to identify class for frog.
  IEEE Eurasia Conference on IOT, Communication and ngineering, Yunlin, Taiwan.
• Nian-Ze Hu, Chih-Hui Simon Su, Cihun-Siyong Alex Gong, Cheng-Jung Lee, Yong-Sheng Chen, Ching-Hsiang Yang, Ching-Ying Ye2, Zheng-Han Shi, and Jieh-Tsyr Chuang (2019, Sep).
  Machine learning approach for robot diagnostic system.
  IEEE Eurasia Conference on IOT, ommunication and Engineering,
  Yunlin, Taiwan.

• Survival Analysis Using Deep Learning – A Case Study of the Competitive Risk of Progression to End-Stage Renal Disease or Death in Chronic Kidney Disease (112-2221-E-002-207-) (Co-Chair)
• Using Deep Learning Models to Analyze Clinical Temporal Data to Predict Progression of Chronic Kidney Disease (111-2221-E-002-115-) (Co-Chair)
• Constructing an Intelligent Cost-Benefit Analysis Tool Based on Machine Learning – A Case Study of Yeke Film (110-2221-E-002-161-) (Co-Chair)
• Constructing a Metalworking Industry Ecosystem Using IIoT Intelligent Sensing Technology-Constructing a Metalworking Industry Ecosystem Using IIOT Intelligent Sensing Technology (3/3)(109-2218-E-002-039-) (Co-Chair)

• 2024, Research and Development Project on High-Pressure N2O Gas Carbon Reduction, Recovery, and Intelligent Monitoring Technology, Emerging Technology Application Project of the Central Taiwan Science Park.
• 2024, AI Algorithms and Python Programming, Precision Machinery Research and Development Center Foundation.
• 2024, Industrial Green Operations Working Group, Industrial Technology Research Institute Foundation.
• 2023, the application of big technology to develop VAD method and optimize wafer test and analysis platform, Shengjia Electronics Co., Ltd
• 2022, Intelligent Optimization Plan for Equipment Parameters, Taiwan Chemical Fiber Co., Ltd
• 2021, Equipment Monitoring Module, Taiwan Chemical Fiber Co., Ltd
• 2021, Process Early Warning Assisted Decision-Making, AUO Optronics Co., Ltd
• 2021, Bearing Life Prediction Module, Taiwan Chemical Fiber Co., Ltd
• 2021, Equipment Failure Prediction Project, Chimei Industrial Co., Ltd
• 2020, Process AI Prediction Platform, Chimei Industrial Co., Ltd
• 2020, the use of visual recognition to develop automatic control related technologies, Chuangjing Application Integration Co., Ltd
• 2019, the use of artificial intelligence and the Internet of Things to develop logistics monitoring technology, Chuanghuan Application Integration Co., Ltd
• 2018, Software Development of AI Intelligent Analysis Endoscopy Training System, Chengsheng Medical Co., Ltd
• 2018, Assisted in the introduction of big data analysis technology, Allied Automation Co., Ltd
• 2018, the use of artificial intelligence and big data to develop a promotion platform, Maoyong Technology Co., Ltd
• 2018, Whole Plant Intelligent Analysis Mechanism and Adaptive Adjustment System, Yuanling Precision Industry Co., Ltd
• 2018, Intelligent Production and Quality Reporting System and Intuition is the Human-Machine Interface, Yuanling Precision Industry Co., Ltd

SYSTEM FORANALYZINGSTARTSAND ACCELERATIONPHASESINSQUAT-STYLE TRACK ANDFIELDEVENTS, United States PATENT, 2023

Physical Core Ability Monitoring and Analysis Platform for Athletics Sports, Taiwan Invention Patent, 2019

Data collection and analysis system for track and field squatting starting training, Taiwan invention patent, 2018