Ming-Hsiang Su | Signal Processing | Best Researcher Award

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Prof. Ming-Hsiang Su | Signal Processing | Best Researcher Award

Prof. Ming-Hsiang Su | Soochow University | Taiwan

Prof. Ming-Hsiang Su is a prominent researcher and assistant professor specializing in the fields of deep learning, natural language processing, and speech signal processing, with a particular focus on spoken dialogue systems, emotion recognition, and personality trait perception. His work integrates advanced computational techniques with real-world applications, developing intelligent systems capable of understanding, interpreting, and generating human-like speech and dialogue. Prof. Ming-Hsiang Su has contributed to the advancement of speech emotion recognition by considering both verbal and nonverbal vocal cues, and has designed sophisticated models for empathetic dialogue generation, text-to-motion transformation, and mood disorder detection through audiovisual signals. He has published extensively in high-impact journals and conferences, addressing topics such as few-shot image segmentation, sound source separation, automatic ontology population, and speaker identification. His research also extends to applied systems, including automated crop disease detection, question-answering systems, and industrial defect detection using deep learning architectures. By combining theoretical insights with practical implementations, Prof. Ming-Hsiang Su work bridges the gap between computational intelligence and human-centered applications, enhancing machine understanding of complex speech, language, and affective behaviors. Through his interdisciplinary approach, he continues to advance innovative methods for human-computer interaction, intelligent dialogue systems, and multimodal data analysis, establishing a significant impact on both academic research and practical technological applications across various domains, with 791 citations by 684 documents, 83 documents, and an h-index of 15.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Huang, K. Y., Wu, C. H., Hong, Q. B., Su, M. H., & Chen, Y. H. (2019). Speech emotion recognition using deep neural network considering verbal and nonverbal speech sounds. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech, and …, 138.

Su, M. H., Wu, C. H., Huang, K. Y., Hong, Q. B., & Wang, H. M. (2017). A chatbot using LSTM-based multi-layer embedding for elderly care. 2017 International Conference on Orange Technologies (ICOT), 70-74.

Hsu, J. H., Su, M. H., Wu, C. H., & Chen, Y. H. (2021). Speech emotion recognition considering nonverbal vocalization in affective conversations. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 29, 1675-1686.

Su, M. H., Wu, C. H., & Cheng, H. T. (2020). A two-stage transformer-based approach for variable-length abstractive summarization. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 2061-2072.

Su, M. H., Wu, C. H., Huang, K. Y., & Hong, Q. B. (2018). LSTM-based text emotion recognition using semantic and emotional word vectors. 2018 First Asian Conference on Affective Computing and Intelligent …, 78.

 

Shuo-Tsung Chen | ECG signal | Best Researcher Award

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Prof. Shuo-Tsung Chen | ECG signal | Best Researcher Award

Professor, National Kaohsung University, Taiwan

Dr. Shuo-Tsung Chen, born in 1973 and based in Taichung, Taiwan 🇹🇼, is a dedicated academic with a multidisciplinary background in electrical engineering, mathematics, and biomedical engineering. With a robust expertise in signal and image processing, AI, IoT, and big data, he serves as an Assistant Professor and continues to push boundaries in smart technologies and applied sciences. His commitment to research and education is evident through his longstanding affiliations with top Taiwanese institutions. 📚🔬

Profile

Orcid

🎓 Education

Dr. Chen completed his B.S. in Mathematics from National Cheng Kung University in 1996, followed by an M.S. in Applied Mathematics at Tunghai University in 2003. In 2010, he earned his Ph.D. in Electrical Engineering from National Chi Nan University, Nantou, Taiwan. His academic journey reflects a strong foundation in analytical and engineering disciplines. 🧠📐📊

🧑‍🏫 Experience

Dr. Chen has held several esteemed positions, including Postdoctoral Fellow at the Graduate Institute of Biomedical Engineering, National Taiwan University College of Medicine (2010–2012), and Assistant Professor at the College of Future, National Yunlin University of Technology. He has taught mathematics and engineering at various institutions such as Tunghai University and Chaoyang University of Technology, showcasing more than a decade of teaching and research experience. 📘🖥️🧪

🔬 Research Interests

His research focuses span across Signal Processing, Biomedical Engineering, Image Processing, and Internet of Things (IoT). He is also deeply involved in Artificial Intelligence, Information Hiding, Big Data Analytics, and Optimal Control System Design, contributing innovative solutions to modern technological challenges. 💻🧬📡📈

🏆 Awards

While formal accolades are not specified, Dr. Chen’s distinguished roles and research fellowships at top Taiwanese institutions underscore his recognition and contributions in academia. His multiple fellowships and assistant professorships reflect the trust placed in him by premier research and educational institutions. 🏅🎖️🎓

📚 Publications

A New Secure Steganography Method Based on LSB Matching Revisited Algorithm – Published in IEEE Transactions on Information Forensics and Security, 2014. Cited by 92 articles. 🔍🧠

Design and Realization of a Smartphone-Based Portable ECG System – Published in IEEE Transactions on Biomedical Circuits and Systems, 2013. Cited by 105 articles. 📲💓

An Adaptive Image Hiding Scheme Using Histogram Shifting Method Based on Integer Wavelet Transform – Published in Expert Systems with Applications, 2015. Cited by 67 articles. 🖼️🔐

A Data Hiding Scheme for Binary Images Using Block Pattern Coding – Published in IEEE Signal Processing Letters, 2012. Cited by 56 articles. 📘📶

Conclusion

Dr. Shuo-Tsung Chen possesses the technical depth, interdisciplinary reach, and academic experience befitting a Best Researcher Award nominee. His expertise in modern engineering challenges such as AI, IoT, and biomedical systems reflects forward-thinking research potential. To solidify his position as a top contender, further documentation of research impact, peer-reviewed publications, and international visibility would greatly strengthen his profile. Overall, he shows strong promise as a dedicated researcher contributing meaningfully to scientific advancement.