Prof. Shuo-Tsung Chen | Image Processing Awards | Best Researcher Award

Prof. Shuo-Tsung Chen | Image Processing Awards | Best Researcher Award 

Prof. Shuo-Tsung Chen, Chung Shan Medical University, Taiwan

Shuo-Tsung Chen is a dedicated academic and researcher specializing in signal processing, biomedical engineering, the Internet of Things (IoT), image processing, information hiding, big data, optimal control system design, and artificial intelligence. Dr. Chen earned his B.S. degree in Mathematics from National Cheng Kung University in 1996, followed by an M.S. in Applied Mathematics from Tunghai University in 2003. He completed his Ph.D. in Electrical Engineering at National Chi Nan University in 2010. Dr. Chen has extensive academic experience, having served as a Post-Doctoral Fellow at the Graduate Institute of Biomedical Engineering at National Taiwan University College of Medicine and as an Assistant Professor at the College of Future, National Yunlin University of Technology. He has also held positions as a Calculus Speaker in Electrical and Electronics Engineering at National Chi Nan University, a Research Assistant at Chaoyang University of Technology, and an Adjunct Assistant Professor in the Department of Mathematics at Tunghai University.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Shuo-Tsung Chen, Ph.D.

Shuo-Tsung Chen is an accomplished academic currently serving as an Assistant Professor in Taiwan. With a comprehensive educational background in mathematics and electrical engineering, along with diverse research experience in various cutting-edge fields, he is a strong contender for the Best Researcher Award.

Education

🎓 Ph.D. in Electrical Engineering
National Chi Nan University, Puli, Nantou, Taiwan, 2010

📚 M.S. in Applied Mathematics
Tunghai University, Taichung, Taiwan, 2003

📏 B.S. in Mathematics
National Cheng Kung University, Tainan, Taiwan, 1996

Work Experience

🏫 Assistant Professor
National Yunlin University of Technology, College of Future, Taiwan (Present)

🔬 Post-Doctoral Fellow
Graduate Institute of Biomedical Engineering, National Taiwan University College of Medicine, Taiwan

👨‍🏫 Adjunct Assistant Professor
Department of Mathematics, Tunghai University (September 2010 – Present)

💼 Post-Doctoral Fellow
Department of Industrial Engineering and Enterprise Information, Tunghai University (August 2012 – Present)

📈 Research Assistant
Department of Information and Communication, Chaoyang University of Technology (August 2009 – January 2010)

📐 Calculus Speaker
Electrical and Electronics Engineering, National Chi Nan University (August 2005 – July 2006)

Achievements, Awards, and Honors

🏅 National Cheng Kung University Scholarship – Recognized for outstanding academic performance (Year unspecified).
🌟 Tunghai University Excellence Award – Acknowledged for contributions to academic research (Year unspecified).
📜 Publication in Leading Journals – Authored several papers on topics including Signal Processing, Biomedical Engineering, and Artificial Intelligence (Years unspecified).

Publication Top Notes:

Measurement Invariance Investigation for Performance of Deep Learning Architectures

Emergency Evacuation Planning via the Point of View on the Relationship Between Crowd Density and Moving Speed

Patient Confidential Information Transmission Using the Integration of PSO-Based Biomedical Signal Steganography and Threshold-Based Compression

Digital audio watermarking using minimum-amplitude scaling on optimized DWT low-frequency coefficients

Machine Learning Modeling for Failure Detection of Elevator Doors by Three-Dimensional Video Monitoring

Ms. Rumi Iwai | Non-Contact Imaging | Best Researcher Award

Ms. Rumi Iwai | Non-Contact Imaging | Best Researcher Award 

Ms. Rumi Iwai, Kyushu University, Japan

Ms. Rumi Iwai is an accomplished clinical engineer and researcher currently pursuing a Doctor of Philosophy in Dental Anesthesiology at the Faculty of Dental Science, Kyushu University, in Fukuoka, Japan. She completed her initial training as a clinical engineer at Osaka College of High Technology in 2014. Since 2017, Ms. Iwai has been working at Hyogo Medical University Hospital in the Department of Clinical Engineering. Her professional responsibilities encompass a wide range of tasks including operating room management, hemodialysis, arrhythmia monitoring, intensive care, and the management of medical electronic equipment. She holds certifications as a respiratory therapist, arrhythmia clinical engineer, and implantable device technician.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Ms. Rumi Iwai is an accomplished researcher in the field of clinical engineering, with a strong background in dental anesthesiology and medical electronics. Her contributions to extracorporeal circulation therapy and cardiac implantable devices, along with her awards and recognitions, highlight her as a promising candidate for the Best Researcher Award.

Education:

  1. Clinical Engineer
    • Institution: Osaka College of High Technology
    • Address: 1-2-43 Miyahara, Yodogawa-ku, Osaka-shi, Osaka, Japan
    • Year: 2014
  2. Doctor of Philosophy (Ph.D.)
    • Current Institution: Department of Dental Anesthesiology, Faculty of Dental Science, Kyushu University
    • Address: 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, JAPAN
    • Status: Currently attending

Work Experience:

  1. Department of Clinical Engineering
    • Institution: Hyogo Medical University Hospital
    • Position: Clinical Engineer
    • Duration: April 2017 – Present
    • Responsibilities:
      • Management of operating room equipment
      • Hemodialysis
      • Arrhythmia monitoring and management
      • Intensive care unit equipment management
      • Medical electronics equipment management
    • Certifications:
      • Certified Respiratory Therapist
      • Arrhythmia Clinical Engineer
      • Implantable Device Technician
    • Research Interests:
      • Extracorporeal circulation therapy
      • Cardiac implantable devices

Publication top Notes:

Reliable Stenosis Detection Based on Thrill Waveform Analysis Using Non-Contact Arteriovenous Fistula Imaging

A Study on Stenosis Detection Based on Non-contact Thrill Wave Imaging and Gradient-Boosting Decision Tree