Zaiyang Xie | text analysis | Young Researcher Award

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Assoc Prof Dr. Zaiyang Xie | text analysis | Young Researcher Award

Zhejiang University of Technology | China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

XIE ZAIYANG is an Associate Professor at the School of Management, Zhejiang University of Technology. She holds a Doctorate in Management and has a strong academic background with degrees from Nankai University and Jinan University. Her academic pursuits have earned her recognition in the field, including being a recipient of various prestigious awards. She is also a graduate student supervisor and actively contributes to the academic community with her extensive research in corporate strategy, internationalization, and digital innovation management.

EARLY ACADEMIC PURSUITS 🎓

XIE ZAIYANG completed her Doctorate in Management from Nankai University in December 2020, after which she also pursued postdoctoral studies. Her Ph.D. research was conducted in collaboration with Jinan University (a national public scholarship). She began her academic career at Zhejiang University of Technology in December 2020, where she serves as a faculty member in the Department of Business Administration and as the class advisor for the 2102 Business Administration class.

PROFESSIONAL ENDEAVORS 💼

Currently, XIE ZAIYANG is an Associate Professor in the Department of Business Administration, where she teaches, researches, and leads several significant academic projects. She is a member of the Academy of Management (AOM), the Academy of International Business (AIB), and the International Association for Chinese Management Research (IACMR). XIE ZAIYANG has also contributed as a reviewer for numerous academic journals, ensuring the quality of publications in her field.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Her main research focuses include corporate strategy, internationalization, digital innovation management, and the governance of multinational corporations. She has secured several national and provincial-level research grants, leading projects on globalization, de-globalization, and corporate innovation, among others. XIE ZAIYANG’s studies have had a considerable influence on how businesses understand strategic decision-making and innovation in an increasingly interconnected and rapidly changing global environment.

IMPACT AND INFLUENCE 🌐

XIE ZAIYANG has published more than 30 papers in renowned journals such as the Journal of World Business, Technological Forecasting and Social Change, and Journal of Business Research. Her research has made a significant impact in the academic community, receiving numerous citations and awards. Notably, her work on the dynamics of multinational enterprises and innovation strategies has contributed to the advancement of corporate governance theory and practice.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

XIE ZAIYANG’s academic work has been widely cited and published in both international and Chinese journals. Some of her notable works include:

  • Returnee managers as an asset for emerging market multinational enterprises (Journal of World Business, 2022)

  • Big data and emerging market firms’ innovation in an open economy (Technological Forecasting and Social Change, 2021)

  • US-China Decoupling and the Chinese Firms’ Real Option to Defer R&D Investment (Journal of World Business, 2025)

In addition to her journal articles, she has authored several books and monographs on corporate governance and international business strategy.

HONORS & AWARDS 🏆

XIE ZAIYANG has been recognized with several prestigious awards, including the “National Top 100 Cases” award and the Zhejiang Provincial Outstanding Research Case award. She has also received numerous accolades for her teaching and research efforts, such as national and provincial-level research grants and awards for excellence in case studies. Her research has been selected for inclusion in the “China Management Case Sharing Center (CMCC)” and other important academic repositories.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

XIE ZAIYANG’s contributions to the academic field have laid the groundwork for future research on multinational enterprises, innovation strategies, and the evolution of corporate governance in China and beyond. Her ongoing work continues to influence the development of strategic management theories, particularly in the context of globalization and digital transformation. As a mentor and researcher, she aims to continue advancing knowledge in the intersection of global business strategy and innovation management.

FINAL NOTE 📅

XIE ZAIYANG is a dedicated scholar and educator who has made significant contributions to the field of management studies. Her work on strategic management, innovation, and corporate governance provides valuable insights for both scholars and practitioners. As she continues to lead impactful research, her legacy will shape the future of international business strategy and management.

TOP NOTES PUBLICATIONS 📚 

Returnee managers as an asset for emerging market multinational enterprises: Chinese cross-border acquisitions (2008–2017)

    • Authors: Xie Z.Y., Wang L.

    • Journal: Journal of World Business

    • Year: 2022

Big data and emerging market firms’ innovation in an open economy: The diversification strategy perspective

    • Authors: Xie Z.Y., Wang J., Miao L.

    • Journal: Technological Forecasting and Social Change

    • Year: 2021

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: A multinational perspective

    • Authors: Xie Z.Y., Qu L., Lin R.H., et al.

    • Journal: Journal of Enterprise Information Management

    • Year: 2021

US-China Decoupling and the Chinese Firms’ Real Option to Defer Overall but R&D Investment

    • Authors: Shao L., Xie Z.Y.*, Qiu Y.X., Wang L.

    • Journal: Journal of World Business

    • Year: 2025

The Rise of Female Board Representation in China as a Glocalization Process (2010-2018)

    • Authors: Wang L., Xie Z.Y.*, Majid Abdi, et al.

    • Journal: Journal of Business Research

    • Year: 2024

Tengteng Zhuang | Higher Education | Best Researcher Award

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Assist Prof Dr. Tengteng Zhuang | Higher Education | Best Researcher Award

Beijing Normal Univerity | China

PUBLICATION PROFILE

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📚 INTRODUCTION

Assist. Prof. Dr. Tengteng Zhuang is a distinguished academic at Beijing Normal University in China, specializing in various fields related to higher education, engineering education, and the collaboration between industries and universities. His research focuses on advancing the professional development of university educators, the learning and growth of students, and the intersection of education policies and real-world application. With a robust background in education administration and policy, Dr. Zhuang has significantly contributed to shaping educational practices, particularly in China’s higher education system.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zhuang’s academic journey began with his undergraduate studies at Nanjing University of Posts and Telecommunications, where he earned a Bachelor’s degree in Engineering in 2010. This foundation in engineering set the stage for his deep interest in education, prompting him to pursue a Master’s degree in Education from Beijing Normal University. He furthered his education by obtaining a Ph.D. in Education from the Chinese University of Hong Kong, where he specialized in educational administration and policy, completing his doctoral studies in 2020.

💼 PROFESSIONAL ENDEAVORS

Dr. Zhuang’s professional career includes significant roles at top academic institutions. He has served at Beijing Normal University’s Institute of Higher Education since 2021, focusing on the research and development of higher education strategies. Prior to this, he worked at the People’s Public Security University of China, where he made substantial contributions to teaching and academic research. His teaching roles have covered a broad range of subjects, including higher education administration, educational development, and quantitative research methods at the master’s level, with a particular focus on international students.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zhuang’s research primarily revolves around the fusion of industry and education, the professional development of university educators, and student growth in contemporary higher education. He has also dedicated significant effort to exploring how engineering education can be modernized in China through systemic reforms, focusing on creating impactful educational environments that align closely with industry needs. His work also touches on comparative higher education, with a particular emphasis on China’s higher education system and the global dynamics influencing it.

🌍 IMPACT AND INFLUENCE

Dr. Zhuang’s research has had a profound impact on Chinese higher education, especially in relation to the integration of industry within academic settings. His work in “university-industry collaborations” has provided critical insights into how these partnerships can be optimized to improve educational outcomes for students and meet the demands of a rapidly evolving job market. His books and journal articles on these topics have been influential in both academic and policy-making circles, helping bridge the gap between educational theory and practical implementation in engineering and STEM fields.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zhuang has a prolific record of academic publications, with several articles in high-impact journals such as Studies in Higher Education, Asia Pacific Journal of Education, and Journal of Educational Research. His published works span a broad spectrum of subjects, from educational policy and industry collaborations to the development of professional teaching practices. Notably, his monographs, Modernizing China’s Undergraduate Engineering Education through Systematic Reforms and Engineering Teaching in China’s Higher Education, have received widespread recognition in the academic community. He has contributed to various book chapters and conference proceedings as well.

🏅 HONORS & AWARDS

Throughout his career, Dr. Zhuang has been recognized for his excellence in both research and teaching. In 2023, he was honored with the title of Outstanding Mentor at Beijing Normal University. In 2020, he received the prestigious Postgraduate Research Output Award from the Chinese University of Hong Kong. Dr. Zhuang’s academic prowess has also earned him full scholarships during his doctoral studies, further cementing his place as a leading figure in his field. His qualifications and achievements reflect his commitment to advancing educational theory and practice.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Zhuang’s future contributions are poised to further shape the landscape of higher education, particularly in China’s engineering and technology sectors. His ongoing research in university-industry collaboration and the professional development of faculty members continues to be at the forefront of educational innovation. With a clear focus on creating a sustainable, quality-driven educational ecosystem, Dr. Zhuang’s legacy is one of bridging the gap between academia and industry while preparing students for the challenges of a rapidly evolving global workforce.

📝 FINAL NOTE

Dr. Tengteng Zhuang stands as a leading expert in the intersection of higher education, industry collaboration, and educational reform. His research, teaching, and publications contribute to shaping the future of engineering education in China and beyond. His commitment to enhancing the quality of higher education and fostering international collaboration ensures that his influence will be felt for years to come.

📚 TOP NOTES PUBLICATIONS 

Competent fish in little ponds: Testing the relationship between academic achievement and social-emotional skills

    • Authors: Jieping Shi, Tengteng Zhuang

    • Journal: International Journal of Educational Research

    • Year: 2025

Modernizing higher education with industrial forces in Asia: a comparative study of discourse of university-industry collaboration in China, Japan, and Singapore

    • Authors: Tengteng Zhuang, Misao Oh, Keiko Kimura

    • Journal: Asia Pacific Education Review

    • Year: 2025-03

What affects the teaching agency of university instructors? A social realist perspective

    • Authors: Tengteng Zhuang, Alan C. K. Cheung, Wilfred W. F. Lau, Yang Su

    • Journal: Asia Pacific Journal of Education

    • Year: 2025-03-15

Ushering in industrial forces for teaching-focused university-industry collaboration in China: a resource-dependence perspective

    • Authors: Tengteng Zhuang, Haitao Zhou, Qintao Sun

    • Journal: Studies in Higher Education

    • Year: 2024-12

Engagement, determinants and challenges: a multinational systematic review of education-focused university-industry collaborations

    • Authors: Tengteng Zhuang, Jieping Shi

    • Journal: Educational Review

    • Year: 2024-07-28

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

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Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

Publication Profile

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Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease

    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia

    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas

    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography

    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration

    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Shiming Li | Algorithm Development | Best Researcher Award

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Dr. Shiming Li l Algorithm Development | Best Researcher Award

North China University of Water Resources and Electric Power, China

Author Profile

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🎓 Early Academic Pursuits

Dr. Shiming Li began his academic journey with a strong foundation in Surveying and Mapping Science and Technology. He earned his Ph.D. in 2021 from Southwest Jiaotong University, Chengdu, China, where his research laid the groundwork for innovations in geospatial data integration and 3D modeling. His early interest in integrating diverse data sources shaped his career trajectory, leading to groundbreaking studies in multi-type point cloud data fusion.

💼 Professional Endeavors

Currently, Dr. Li serves as a Lecturer and Master Tutor at the College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China. In this capacity, he mentors aspiring professionals and collaborates on projects aimed at enhancing urban and water environment monitoring using advanced geoinformatics tools.

🌍 Contributions and Research Focus

Dr. Li’s research revolves around the fusion of multi-type point cloud data obtained from drones, vehicles, backpacks, and handheld devices. His work addresses critical challenges in three-dimensional reconstruction of complex structures and intelligent scene recognition. By leveraging cutting-edge techniques, he has contributed to monitoring urban and aquatic environments, enabling more efficient and accurate spatial analysis.

🌟 Impact and Influence

Dr. Li’s innovative research has advanced the field of surveying and mapping, particularly in urban planning and environmental monitoring. His studies have practical applications in designing sustainable infrastructure and improving disaster management strategies. His influence extends beyond academia, benefiting industries focused on spatial data and urban development.

📚 Academic Contributions

Dr. Li has authored and contributed to several peer-reviewed articles and conference papers, earning citations in prominent journals. His work is widely recognized for its technical rigor and relevance, making significant strides in geoinformatics research.

🛠️ Technical Skills

Dr. Li is proficient in cutting-edge geospatial technologies and software for data integration and analysis, including GIS tools, point cloud processing platforms, and 3D modeling frameworks. His technical expertise supports his research in creating precise and scalable solutions for complex spatial challenges.

🧑‍🏫 Teaching Experience

As a lecturer, Dr. Li is dedicated to shaping the next generation of geoinformatics professionals. He combines theory with practical applications in his teaching, inspiring students to explore innovative solutions in surveying and mapping. His mentorship extends to graduate students, helping them tackle advanced research problems.

🚀 Legacy and Future Contributions

Dr. Shiming Li is poised to leave a lasting legacy in the field of surveying and geoinformatics. His future endeavors aim to further enhance the integration of multi-source spatial data for intelligent scene recognition and complex structural reconstruction. By continuing to push the boundaries of geospatial research, he is set to contribute to the sustainable development of urban and water environments globally.

📖 Top Noted Publications

Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images
    • Authors: Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2025
Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
    • Authors: Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu
    • Journal: Remote Sensing
    • Year: 2024
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
    • Authors: Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li
    • Journal: Sensors
    • Year: 2024
OFFS-Net: Optimal Feature Fusion-Based Spectral Information Network for Airborne Point Cloud Classification
    • Authors: Peipei He, Kejia Gao, Wenkai Liu, Wei Song, Qingfeng Hu, Xingxing Cheng, Shiming Li
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Spatiotemporal Information Mining for Emergency Response of Urban Flood Based on Social Media and Remote Sensing Data
    • Authors: Hui Zhang, Hao Jia, Wenkai Liu, Junhao Wang, Dehe Xu, Shiming Li, Xianlin Liu
    • Journal: Remote Sensing
    • Year: 2023
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South–North Water-Diversion Project
    • Authors: Qingfeng Hu, Yingchao Kou, Jinping Liu, Wenkai Liu, Jiuyuan Yang, Shiming Li, Peipei He, Xianlin Liu, Kaifeng Ma, Yifan Li, et al.
    • Journal: Remote Sensing
    • Year: 2023
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
    • Authors: Li Shiming, Tingrui Bao, Hui Liu, Rongxin Deng, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2023

Abdulaziz Almaleh | Resilience | Best Researcher Award

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Dr. Abdulaziz Almaleh l Resilience | Best Researcher Award

 King Khalid University, Saudi Arabia

Author Profile

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👨‍🏫 Summary

Dr. Abdulaziz Almaleh is an accomplished consultant with a focus on smart city technologies and urban development. With extensive experience in strategic consultancy, smart infrastructure, and business growth, he thrives on helping organizations navigate complex challenges and drive innovation. His work connects academic research with real-world applications to improve urban systems and business performance.

🎓 Education

Dr. Almaleh earned his Ph.D. in Information Science with a concentration in Telecommunication from the University of Pittsburgh in 2020. Prior to that, he completed his Master’s in Telecommunication (2015) and his Bachelor’s in Computer Networks and Communication at King Khalid University, Saudi Arabia, in 2012.

💼 Professional Experience

Currently serving as the Investment Chief Officer at King Khalid University, Dr. Almaleh leads strategic investment initiatives, managing asset allocation and risk to support long-term growth. As an Assistant Professor at the university’s Computer Science College, he specializes in smart city networks and infrastructure, contributing to the development of sustainable urban systems. From 2020 to 2023, he also worked as a Part-Time Consultant in the Business Agency, advising startups and the university on innovation and growth strategies. Additionally, during his time at the University of Pittsburgh as a Graduate Student Assistant, he contributed to pioneering research in smart infrastructure.

🔧 Technical Skills

Dr. Almaleh’s skill set includes strategic consultancy, with a proven ability to optimize business processes and drive innovation. He possesses deep expertise in smart infrastructure technologies, focusing on smart city networks and urban systems. With advanced analytical skills, he excels at leveraging business analytics to offer actionable insights, fostering collaboration, and managing interdisciplinary projects to achieve organizational goals.

📚 Teaching Experience

As an Assistant Professor at King Khalid University, Dr. Almaleh teaches courses on smart city networks and infrastructure. He prepares students for real-world challenges in urban technology and contributes to shaping the future of smart cities through his educational approach.

🔬 Research Interests On Resilience

Dr. Almaleh’s research interests include smart city network optimization, infrastructure resilience, and sustainable urban development. He is dedicated to advancing smart infrastructure technologies and exploring innovative solutions to improve urban living, with a particular focus on telecommunication systems and urban technology advancements.

📖 Top Noted Publications 

 

Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution

    • Authors: Khan, Anwar; Fouda, Mostafa M.; Do, Dinh-Thuan; Almaleh, Abdulaziz; Alqahtani, Abdullah M.; Rahman, Atiq Ur
    • Journal: IEEE Access
    • Year: 2024

A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems

    • Authors: Abdulaziz Almaleh
    • Journal: Electronics
    • Year: 2024

Measuring Resilience in Smart Infrastructures: A Comprehensive Review of Metrics and Methods

    • Authors: Abdulaziz Almaleh
    • Journal: Applied Sciences
    • Year: 2023

Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends

    • Authors: Khan, Anwar; Fouda, Mostafa M.; Do, Dinh-Thuan; Almaleh, Abdulaziz; Rahman, Atiq Ur
    • Journal: IEEE Access
    • Year: 2023

Malware API Calls Detection Using Hybrid Logistic Regression and RNN Model

    • Authors: Abdulaziz Almaleh, Reem Almushabb, Rahaf Ogran
    • Journal: Applied Sciences
    • Year: 2023

Biying Fu | Machine Learning Applications | Best Researcher Award

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Dr. Biying Fu | Machine Learning Applications | Best Researcher Award

Hochschule RheinMain, Germany

Professional Profile👨‍🎓

Early Academic Pursuits 📚

Dr. Biying Fu’s academic journey began with her primary and secondary education in Shanghai, China, where she developed a strong foundation in subjects like mathematics, German, English, physics, and chemistry. Her academic excellence continued through high school, culminating in an outstanding Abitur score of 1.1. She pursued a Bachelor’s degree in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (KIT), Germany, followed by a Master’s degree with a focus on Communications and Information Technology. Dr. Fu’s academic pursuits further advanced with a Ph.D. from the Technical University of Darmstadt (TUda), where she specialized in sensor applications for human activity recognition in smart environments.

Professional Endeavors 💼

Dr. Fu’s professional career began at the Fraunhofer Institute for Integrated Circuits (IGD), where she contributed significantly to the Sensing and Perception group. Over time, she expanded her expertise into the Smart Living and Biometric Technologies department, becoming a scientific employee and project leader. Her roles included innovative work on smart environments, human activity recognition, and biometric technologies. Dr. Fu has been instrumental in creating real-world applications for sensor technologies and machine learning algorithms, with notable contributions to the Smart Floor project, which focuses on indoor localization and emergency detection in ambient assisted living environments.

Contributions and Research Focus 🔬

Dr. Fu’s research has been centered around smart environments, sensor systems, and human activity recognition. Her dissertation, titled “Sensor Applications for Human Activity Recognition in Smart Environments,” examined multimodal sensor systems, including capacitive sensors, accelerometers, and smartphone microphones, for tracking physical activities and indoor localization. Her work merges signal processing, neural networks, and data generation techniques to enhance the interaction between people and machines. Her ongoing research continues to explore the intersection of artificial intelligence and explainability, contributing to the development of transparent and interpretable machine learning models.

Impact and Influence 🌍

Dr. Fu’s research in smart technologies has far-reaching implications for assistive technologies, healthcare, and the development of intuitive human-machine interactions. Her contributions to the field of human activity recognition have improved how we use sensors to monitor and analyze daily activities in smart homes and health environments. Furthermore, her involvement in interdisciplinary projects, such as optical quality control and optical medication detection, has enhanced industrial applications of computer vision and machine learning.

Academic Cites and Recognition 📖

Dr. Fu has earned recognition in both academia and industry. Her dissertation, publications, and research projects have attracted attention in top conferences and journals. Her participation in global programs like the Summer School of Deep Learning and Reinforcement Learning at the University of Alberta further emphasizes her standing in the scientific community. Additionally, Dr. Fu has been an active participant in various educational and research initiatives, such as the REQUAS project, and she continues to serve as a professor at Hochschule RheinMain, where she focuses on the emerging field of Explainable AI.

Technical Skills ⚙️

Dr. Fu possesses advanced technical skills in various programming languages, including C/C++, Java, and Python. She is highly proficient in machine learning libraries such as Scikit-Learn, TensorFlow, Keras, and PyTorch, and has hands-on experience with simulation tools like Matlab/Simulink and CST Microwave Studio. Her expertise extends to signal processing, computer vision, and the use of embedded systems for smart applications. Additionally, Dr. Fu has a strong command of version control tools like GIT and SVN, as well as project management platforms such as JIRA and SCRUM.

Teaching Experience 👩‍🏫

Dr. Fu has contributed to the academic development of students through various teaching roles. She has served as a tutor for subjects like digital technology and wave theory during her time at KIT. As a professor at Hochschule RheinMain, she currently teaches courses in smart environments, with a focus on advanced topics in Explainable AI. Her ability to communicate complex concepts clearly and her passion for fostering intellectual curiosity have made her a respected educator in her field.

Legacy and Future Contributions 🌟

Dr. Fu’s work continues to shape the future of smart environments, human-machine interactions, and explainable AI. Her research on sensor technologies and machine learning has paved the way for smarter and more intuitive technologies in healthcare, industry, and everyday life. As she continues to contribute to both academic and industry advancements, Dr. Fu’s legacy will be marked by her dedication to the development of technologies that improve human well-being and promote transparency in artificial intelligence systems. Her ongoing contributions will continue to inspire the next generation of researchers and engineers.

📖Top Noted Publications

A Survey on Drowsiness Detection – Modern Applications and Methods

Authors: Biying Fu, Fadi Boutros, Chin-Teng Lin, Naser Damer

Journal: IEEE Transactions on Intelligent Vehicles

Year: 2024

Generative AI in the context of assistive technologies: Trends, limitations and future directions

Authors: Biying Fu, Abdenour Hadid, Naser Damer

Journal: Image and Vision Computing

Year: 2024

Biometric Recognition in 3D Medical Images: A Survey

Authors: Biying Fu, Naser Damer

Journal: IEEE Access

Year: 2023

Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality

Authors: Biying Fu, Naser Damer

Journal: IET Biometrics

Year: 2022

Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning

Authors: Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper

Journal: Book chapter

Year: 2021