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

Mrs. Pemila | Image Processing Awards | Best Researcher Award

Mrs. Pemila | Image Processing Awards | Best Researcher Award

Mrs. Pemila , SRM Institute, India

Dr. Pemila M is an Assistant Professor in the Department of Electronics and Communication Engineering at Urbanrise Jubilee Residences in Tamil Nadu. With a strong educational background including an M.Tech in VLSI Design from SASTRA University and a B.E. in Electronics and Communication Engineering from Periyar Maniammai College of Technology for Women, Dr. Pemila has extensive experience in both academia and research. Her career includes roles at Sree Sastha College of Engineering, Periyar Maniammai College, and SRM IST, where she has excelled in developing innovative instructional methods and guiding students in research projects. She has contributed to several high-impact publications and has organized notable training programs and guest lectures. Her diverse expertise spans a range of technical fields, including embedded systems, image processing, and renewable energy technologies.

Professional Profile:

Scopus

Evaluation Summary for Pemila M: Research for Best Researcher Award

Pemila M, with an M.Tech in VLSI Design and a B.E. in Electronics and Communication Engineering, has a strong foundation in her field. Her diverse academic roles, from lecturer to assistant professor, highlight her expertise in teaching and mentoring. Pemila’s impactful research is demonstrated through notable publications in IEEE Xplore and other prestigious journals, focusing on power quality improvement and machine learning for vehicle classification. Her innovative teaching methods and active involvement in training programs and conferences further showcase her dedication to advancing knowledge. Pemila M’s blend of research excellence, educational commitment, and organizational contributions make her an outstanding candidate for the Best Researcher Award

🎓Education:

Dr. Pemila M completed her M.Tech in VLSI Design from SASTRA University, Thanjavur, between May 2007 and May 2009. She holds a B.E. in Electronics and Communication Engineering from Periyar Maniammai College of Technology for Women, Thanjavur, affiliated with Anna University, which she earned from May 2003 to May 2007. Dr. Pemila’s foundational education includes her 12th Standard and 10th Standard, both completed at St. Joseph of Cluny Matriculation Higher Secondary School, NLC, during May 2002 – May 2003 and May 2000 – May 2001, respectively.

🏢Work Experience:

Dr. Pemila M has been serving as an Assistant Professor in the Department of Electronics and Communication Engineering at Urbanrise Jubilee Residences, Tamil Nadu, since May 2022. Concurrently, she has been a Collaborating Teaching Assistant at the University of Bucharest, Faculty of Geography, since October 2018. Her past roles include coordinating the post-doctoral project “Field Investigation within Jiu River Basin” (COMPASS) from November 2020 to November 2021, and being a member of the AMIPAHYR Project (Methodological Approaches for Analyzing Anthropic Impacts on Rivers) from August 2016 to December 2017. She also contributed to the design and development of a bibliographic database on Forest Hydrology at FAO from December 2015 to January 2016.

🏆Awards:

Dr. Pemila M has received several prestigious awards in recognition of her contributions to the field of environmental research and academic excellence. She was honored with the Young Team of Researchers Award for her research on water quality between Morii Lake and the Glina wastewater treatment plant. Additionally, she earned the Scientific Congress Coordinator Award for her exceptional role in organizing the Scientific Congress of Eastern European Students on “Energy Challenges and Transitions in Geosciences.” Dr. Pemila also received the European Geosciences Union General Assembly Oral Communication Award for her presentation on “Sediment Connectivity Assessment in a Romanian Catchment Affected by Coal Mining.”

Publication Top Notes:

  • Application of an ensemble CatBoost model over complex dataset for vehicle classification
  • Real-Time Classification of Vehicles Using Machine Learning Algorithm on the Extensive Dataset
  • AI-Based Autonomous Paddy Farm using Smart and Precise Irrigation System
    • Citations: 1
  • An Efficient Classification for Light Motor Vehicles using CatBoost Algorithm
    • Citations: 3
  • Implementation of Vehicles Classification using Extreme Gradient Boost Algorithm
    • Citations: 5