Pengfei Wei | Computer Science | Best Researcher Award

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Dr. Pengfei Wei | Computer Science | Best Researcher Award 

Senior Engineer at Guangdong University of Technology | China

Dr. Pengfei Wei is a Senior Engineer at Guangdong University of Technology, recognized for his pioneering contributions to the field of computer science, particularly in multimodal learning, knowledge tracing, edge artificial intelligence, and task-oriented dialogue systems. He holds a Ph.D. in Computer Science, where his research focused on integrating deep learning models with practical applications in intelligent education and human–machine interaction. Combining academic rigor with industrial innovation, he brings substantial experience from both enterprise research and academic development, bridging the gap between theory and real-world technology deployment. His work encompasses advanced methods such as visual-enhanced transformers for multimodal named entity recognition, genetic-inspired relation extraction, and the introduction of Kolmogorov–Arnold representations in knowledge tracing, which have improved model interpretability and performance in AI-based learning systems. In addition to his theoretical advancements, he has successfully led projects on real-time lab-safety analytics and large-scale AI deployment using Huawei Ascend, Nvidia, and TPU platforms, contributing to the broader industrial adoption of edge AI technologies. Dr. Pengfei Wei has authored numerous peer-reviewed papers in top-tier international journals and conferences, including Neural Networks, ICMR, and IJCAI, and serves as a reviewer for several prestigious publications such as Neural Networks, Pattern Recognition Letters, AAAI, and IJCNN. His collaborative initiatives with research teams and institutions have fostered multidisciplinary innovation, emphasizing the integration of AI with blockchain, big data, and education systems. A dedicated mentor and research leader, he actively supports student-led research and fosters the development of next-generation AI scholars. His professional memberships with the China Computer Federation (CCF) and the Association for Computing Machinery (ACM) reflect his strong engagement in the global computing community. Dr. Pengfei Wei’s research continues to push the boundaries of multimodal understanding and intelligent systems, driving transformative progress in computational learning and applied artificial intelligence. Through his sustained contributions, he remains committed to advancing the capabilities of intelligent technologies that enhance human productivity, knowledge discovery, and digital transformation.

Profile: Orcid | Google Scholar

Featured Publications:

  • Liao, W., B. Zeng, Yin, X., & Wei, P. (2021). An improved aspect-category sentiment analysis model for text sentiment analysis based on RoBERTa. Applied Intelligence, 51(6), 3522–3533.

  • Liao, W., Zeng, B., Liu, J., Wei, P., Cheng, X., & Zhang, W. (2021). Multi-level graph neural network for text sentiment analysis. Computers & Electrical Engineering, 92, 107096.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Fang, J. (2022). Image-text interaction graph neural network for image-text sentiment analysis. Applied Intelligence, 52(10), 11184–11198.

  • Liao, W., Zeng, B., Liu, J., Wei, P., & Cheng, X. (2022). Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. Applied Intelligence, 52(10), 12077–12090.

  • Wei, P., Zeng, B., & Liao, W. (2022). Joint intent detection and slot filling with wheel-graph attention networks. Journal of Intelligent & Fuzzy Systems, 42(3), 2409–2420.

  • Wei, P., Ouyang, H., Hu, Q., Zeng, B., Feng, G., & Wen, Q. (2024). VEC-MNER: Hybrid transformer with visual-enhanced cross-modal multi-level interaction for multimodal NER. Proceedings of the International Conference on Multimedia Retrieval (ICMR 2024).

  • Wen, S., Zeng, B., Liao, W., Wei, P., & Pan, Z. (2021). Research and design of credit risk assessment system based on big data and machine learning. Proceedings of the IEEE 6th International Conference on Big Data Analytics (ICBDA 2021), 9–13.

Hsin Yuan Chen | Engineering | Best Scholar Award

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Prof. Hsin Yuan Chen | Engineering | Best Scholar Award

Professor at Zhejiang University | China

Dr. Hsin Yuan Chen is a leading scholar and technologist, currently serving as a Changjiang Scholar Professor and Director at Zhejiang University’s Institute of Wenzhou, Center of Digital Technology Entrepreneurship and Innovation. With an extensive academic and industrial background, she has made significant contributions in smart agriculture, AI, robotics, and digital transformation. Dr. Chen’s interdisciplinary expertise bridges engineering, healthcare, and artificial intelligence, and her work has impacted education, industry collaboration, and technological advancement across Asia. Her recognition includes international fellowships, keynote speaker roles, and leadership in major research centers, positioning her as a dynamic force in intelligent systems and innovation.

Profile:

Google Scholar

Education:

Dr. Hsin Yuan Chen earned her Bachelor’s and Ph.D. degrees in Aerospace Engineering from National Cheng Kung University, Taiwan, completing her doctorate in 2000. She complemented her formal education with a visiting professorship at Washington University in St. Louis, USA, which deepened her global academic perspective. Her educational journey has been distinguished by a strong foundation in systems control, aerospace, and robotics, which later evolved to encompass AI, digital agriculture, and interdisciplinary technology management. This robust academic training underpins her approach to integrating theoretical insights with practical innovations in smart technologies and data-driven platforms.

Experience:

Dr. Hsin Yuan Chen’s professional journey spans over two decades of academic, governmental, and industrial roles. She served as Professor and Dean at Fujian Normal University, CTO at GEOSAT Technology and Mobiletron Electronics, and Assistant Professor at multiple Taiwanese institutions. Additionally, she held advisory roles in patent offices and high-tech companies, contributing to projects on AI positioning systems, smart agriculture, and unmanned vehicles. Her international engagements include collaborations with institutions such as McGill University and Washington University. These diverse experiences enrich her ability to lead transdisciplinary teams and execute complex, innovation-focused initiatives across multiple sectors.

Research Interest:

Dr. Hsin Yuan Chen’s research focuses on the convergence of artificial intelligence, smart agriculture, IoT, blockchain, and autonomous systems. Her projects have addressed real-world challenges in digital transformation, healthcare innovation, and sustainable agriculture. A particular interest lies in integrating explainable AI with blockchain to enhance decision-making in agricultural technology. She is also actively involved in robotics, wireless positioning systems, and medical platforms leveraging sensor technology. Her passion for developing inclusive, intelligent systems is reflected in her projects like AI Doctors for crops and Paro Robots for health monitoring, aiming to merge emotion detection with deep learning-based automation.

Awards and Honors:

Dr. Hsin Yuan Chen has received prestigious accolades including the ScienceFather International Outstanding Scientist Award (2024), IET Fellowship (2023), and ASEAN Fellowship (2022). She was recognized with national teaching excellence awards, innovation medals in higher education, and championship titles in robotics competitions. Her pioneering work has also earned distinctions in cloud technology and virtual cultural heritage. As a member of high-level talent programs in Zhejiang and Fujian Provinces, and a recipient of multiple creativity group medals, Dr. Chen’s impact extends across education, technology, and international science forums. Her awards reflect both scholarly excellence and societal contributions.

Publications:

Title: Exploring the sensitivity of next generation gravitational wave detectors

Citations: 1533

Year of Publication: 2017

Title: Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

Citations: 1322

Year of Publication: 2022

Title: Carbon nanotube computer

Citations: 1228

Year of Publication: 2013

Title: Three dimensional reconstruction of a solid-oxide fuel-cell anode

Citations: 1019

Year of Publication: 2006

Title: GPR55 is a cannabinoid receptor that increases intracellular calcium and inhibits M current

Citations: 895

Year of Publication: 2008

Title: Plasmonic nanolaser using epitaxially grown silver film

Citations: 878

Year of Publication: 2012

Title: Translation and back‐translation in qualitative nursing research: methodological review

Citations: 874

Year of Publication: 2010

Title: Mapping the Evolution: A Bibliometric Analysis of Employee Engagement and Performance in the Age of AI-Based Solutions
Year of Publication: 2025

Title: Advancements in Handwritten Devanagari Character Recognition: A Study on Transfer Learning and VGG16 Algorithm
Citations: 3
Year of Publication: 2024

Title: Intellectual Structure of Explainable Artificial Intelligence: A Bibliometric Reference to Research Constituents
Year of Publication: 2024

Title: Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
Citations: 39
Year of Publication: 2023

Conclusion:

Dr. Hsin Yuan Chen exemplifies excellence in research, leadership, and innovation, making her a strong candidate for the Best Researcher Award. Her prolific output in scientific publications, transformative projects in smart agriculture and digital health, and her commitment to knowledge transfer through academia-industry collaborations illustrate her deep impact. Dr. Chen’s fusion of AI with real-world applications—particularly in sustainable systems and intelligent automation—positions her at the forefront of global innovation. Her recognition across international platforms affirms her thought leadership and the lasting value of her contributions to science, technology, and education.

JUN WON HO | Computer Engineering | Best Researcher Award

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Dr. JUN WON HO | Computer Engineering | Best Researcher Award

Research Fellow at Incheon National University, South Korea.

Dr. Jun Won-Ho 🎓 is a dedicated Research Fellow at Incheon National University, South Korea 🇰🇷. He earned his Ph.D. in Computer Engineering in February 2023 🧠, focusing on sleep pattern analysis in an unconscious, non-intrusive state 🛏️. His innovations aim to revolutionize sleep health through biosensor-based technologies 💡. With peer-reviewed publications in SCI-indexed journals 📚 and a patent on body weight estimation while lying in bed 🧾, Dr. Jun is making sleep monitoring accessible and home-based. His work bridges healthcare and engineering, offering practical solutions for sleep apnea detection 🩺 using biosensors and ambient signals 🌐.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Jun Won-Ho

Dr. Jun Won-Ho is highly suitable for the Best Researcher Award due to his pioneering research at the intersection of biomedical engineering and computer science. Despite being an early-career researcher, he has demonstrated remarkable innovation and scientific productivity, especially in the field of non-intrusive sleep health monitoring. His Ph.D. and postdoctoral work have resulted in SCI-indexed journal publications, a granted patent, and the development of AI-based, contact-free technologies to address global health concerns like sleep apnea—showing both originality and real-world impact.

🎓 Education and Experience

  • 🎓 Ph.D. in Computer Engineering – Incheon National University (2023)

  • 🧪 Research Fellow – Incheon National University (Current)

  • 📄 Published in SCI-indexed journals – Including Sensors

  • 🛏️ Doctoral Research – Focused on unobtrusive sleep pattern analysis

  • 🔬 Ongoing Research – Development of self-screening technology for sleep apnea

  • 🧾 Patent Holder – System for estimating body weight while lying on a bed

🚀 Professional Development

Dr. Jun Won-Ho has significantly contributed to the field of sleep science and biomedical engineering 🧠. His journey began with a strong academic foundation in computer engineering 🎓, which he has transformed into impactful research focused on real-world health challenges 🩺. He has authored articles in SCI-indexed journals 📚 and currently works on a cutting-edge sleep apnea screening solution using biosensors and environmental data 🌙📊. His patented invention 🧾 and active engagement in non-contact health monitoring technologies reflect his innovative mindset and commitment to improving global health accessibility 🌍💡.

🧬 Research Focus Category

Dr. Jun Won-Ho’s research falls under the category of Biomedical Engineering and Sleep Science 🧠🛌. He is especially focused on unobtrusive health monitoring, developing systems that use biosensors, physiological signals, and environmental data to analyze sleep patterns and detect sleep disorders like apnea 😴🩺. His goal is to eliminate the need for intrusive clinical testing such as polysomnography 🧪 and instead offer home-based, AI-powered health solutions 🌐📲. His patented work on weight estimation during sleep complements his broader mission of advancing digital health technologies for continuous, contact-free care 🧾💡.

🏅 Awards and Honors

  • 🧾 Patent Granted – System for Estimating Body Weight While Lying on a Bed (KR 10-2556030)

  • 📄 SCI-Indexed Publications – Published 2 articles in renowned journals like Sensors

  • 📌 Ph.D. Achievement – Doctorate completed with impactful research in 2023

  • 🏆 Nominated for Best Researcher Award – For contributions to biomedical sleep technology

  • 🧠 Research Innovation Recognition – Development of non-contact sleep apnea screening system

Publication Top Notes

1. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

  • Published: April 30, 2025

  • Journal: Bioengineering

  • DOI: 10.3390/bioengineering12050480

  • Summary: This study introduces a novel method for detecting sleep posture by analyzing humidity fluctuations using sensors embedded in a pillow. The system monitors changes caused by respiration and perspiration, offering a non-invasive approach to sleep posture detection.

2. Sleep Pattern Analysis in Unconstrained and Unconscious State

  • Published: November 29, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22239296

  • Citation Count: 6

  • Summary: This research analyzes sleep patterns in individuals without physical constraints or active awareness. Utilizing various sensors, the study collects physiological and environmental data to classify sleep stages, providing insights into natural sleep behaviors.MDPI

3. Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes

  • Published: July 19, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22145388

  • Citation Count: 12

  • Summary: This paper presents a reconfigurable module for multi-sensor data fusion, applied to unmanned storage boxes. By integrating data from various sensors, the system enhances reliability and security in automated storage environments.

Conclusion

Dr. Jun Won-Ho exemplifies the qualities of a Best Researcher Award recipient through his innovative mindset, impactful biomedical applications, and commitment to global health technology advancement. His work is not only academically rigorous but also practically transformative, making essential health monitoring more accessible, affordable, and patient-friendly. He stands out as a rising star in biomedical engineering, well-deserving of this prestigious recognition.