ZhengDa Long | Medicine | Best Researcher Award

Mr. ZhengDa Long | Medicine | Best Researcher Award

Wuming Hospital of Guangxi Medical University, China

PUBLICATION PROFILE

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🔰 INTRODUCTION

Mr. ZhengDa Long, affiliated with Long Hospital of Guangxi Medical University, is a passionate academic and healthcare professional with a multidisciplinary background in medicine, psychology, and teaching. His career is rooted in developing innovative healthcare education tools and contributing meaningfully to student and nurse training. He is widely recognized for bridging clinical practice with academic excellence, particularly in the field of sleep health literacy.

🎓 EARLY ACADEMIC PURSUITS

Mr. Long’s academic journey began with a deep interest in medical sciences and psychology. Early on, he recognized the value of combining clinical expertise with educational outreach. His educational path was marked by a consistent commitment to improving public health and creating assessment tools for students, especially in areas that are often overlooked, such as sleep health.

🩺 PROFESSIONAL ENDEAVORS

Professionally, Mr. Long has worn many hats—educator, researcher, and mentor. He has played a pivotal role in teaching medical students and nurses, fostering their professional development while emphasizing the importance of psychological well-being. Through his dedication, he has contributed to shaping future generations of healthcare professionals and introducing new tools for academic and clinical assessment.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Mr. Long’s standout contribution is the development of the Sleep Health Literacy Scale for Students (SHLS-ST). He identified a crucial gap in healthcare education—there was no existing definition or standardized evaluation tool for sleep health literacy in college students, either domestically or internationally. In response, he led the development and validation of this tool, which is now considered a valuable asset for clinical practice and education. The SHLS-ST allows healthcare professionals to evaluate and improve students’ understanding and behaviors regarding sleep, enhancing both academic performance and overall well-being.

🌍 IMPACT AND INFLUENCE

The influence of Mr. Long’s work extends across academic and clinical domains. By introducing a reliable, scientifically validated tool for sleep health literacy, he has empowered educators and health workers to take informed action in student wellness. His research directly contributes to enhancing student mental and physical health, reducing sleep-related issues, and fostering more supportive learning environments.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Mr. Long’s research has been recognized in peer-reviewed journals. His most notable publication is titled “Development and reliability and validity test of the sleep health literacy scale for college students” and is indexed in SCI and Scopus journals. His scholarly contributions are foundational in the emerging field of sleep health education.

🏆 HONORS & AWARDS

In recognition of his impactful work, Mr. Long has been nominated for the Best Researcher Award. His development of the SHLS-ST stands out as a milestone in health education innovation. This nomination underscores the academic and societal relevance of his contributions, particularly in elevating standards of student health assessment.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Mr. Long envisions expanding the SHLS-ST to include other populations such as adolescents and working adults. He is also exploring partnerships for international research and hopes to develop mobile-based tools that assess and promote sleep health literacy on a wider scale. His legacy is one of innovation, compassion, and a vision for integrating holistic well-being into educational systems.

✍️ FINAL NOTE

Mr. ZhengDa Long exemplifies what it means to be a modern researcher—merging scientific rigor with meaningful, real-world impact. His work in developing the Sleep Health Literacy Scale is not just a research success, but a step forward in health education, one that holds promise for institutions globally. As he continues to grow his research, his influence is set to leave a lasting mark on the academic and healthcare communities.

TOP NOTES PUBLICATIONS 📚

Development and reliability and validity test of the sleep health literacy scale for college students
  • Authors: ZhengDa Long, LiPing Huang

  • Journal: BMC Public Health

  • Year: 2025

Weiguo Cao | medical image processing | Best Innovation Award

Dr. Weiguo Cao | medical image processing | Best Innovation Award

Mayo Clinic | United States

Publication Profile

Google Scholar

👨‍💻 Summary

Dr. Weiguo Cao is a Senior Research Fellow at the Mayo Clinic, specializing in computer vision, machine learning, and medical image processing. With a Ph.D. in Computer Science from the Chinese Academy of Sciences, his research bridges cutting-edge AI technologies with healthcare applications, focusing on diagnostic tools and medical image analysis.

🎓 Education

Dr. Cao completed his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. His dissertation was titled “3D Non-rigid Shape Analysis Technology and their Applications.”

💼 Professional Experience

Dr. Cao has held key roles at prestigious institutions. He is currently a Senior Research Fellow at Mayo Clinic (June 2021-present), following his tenure as a Postdoctoral Associate at the State University of New York (2017-2021). Previously, he worked as a Research Scientist at Alibaba Group (2016-2017) and the Institute of Computing Technology, Chinese Academy of Sciences (2011-2016).

📚 Academic Citations

Dr. Cao’s work is widely recognized, with numerous publications in medical imaging, computer vision, and AI. His research outputs have contributed to advancements in medical image segmentation, machine learning algorithms, and deep learning for clinical decision support.

💻 Technical Skills

Dr. Cao is proficient in Python, C++, MATLAB, and R for programming. His technical expertise spans image processing, including texture and shape analysis, medical image segmentation, and feature extraction. He has deep experience in machine learning, working with models like SVM, Random Forest, CNN, and RNN. He’s also skilled in software design, system architecture, and using tools like Keras, TensorFlow, PyTorch, and CUDA.

👨‍🏫 Teaching Experience

Throughout his career, Dr. Cao has mentored students and researchers, offering expertise in image processing, machine learning, and software development. His contributions to educational projects and research have supported the development of new AI applications in healthcare.

🔬 Research Interests

Dr. Cao’s research interests include medical image processing (detection, segmentation, and classification of medical images), machine learning (deep learning models like CNN and RNN for healthcare), pattern recognition, and software design for creating advanced diagnostic tools. His work aims to improve the accuracy and efficiency of clinical decision-making through AI-powered systems.

📚 Top Notes Publications 

3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography
    • Authors: J. Tan, Y. Gao, Z. Liang, W. Cao, M.J. Pomeroy, Y. Huo, L. Li, M.A. Barish, …

    • Journal: IEEE Transactions on Medical Imaging

    • Year: 2020

An Investigation of CNN Models for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Datasets
    • Authors: Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng …

    • Journal: Computerized Medical Imaging and Graphics

    • Year: 2019

GLCM-CNN: Gray Level Co-occurrence Matrix Based CNN Model for Polyp Diagnosis
    • Authors: J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, Z. Liang

    • Journal: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics

    • Year: 2019

SHREC’08 Entry: 3D Face Recognition Using Moment Invariants
    • Authors: D. Xu, P. Hu, W. Cao, H. Li

    • Journal: IEEE International Conference on Shape Modeling and Applications

    • Year: 2008

Real-Time Accurate 3D Reconstruction Based on Kinect v2
    • Authors: Li Shi-Rui, Li Qi, Li Hai-Yang, Hou Pei-Hong, Cao Wei-Guo, Wang Xiang-Dong, …

    • Journal: Journal of Software

    • Year: 2016

Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Dr. Benjamin Teo | Energy and Utilities Analytics | Best Researcher Award

Imperial College London | United Kingdom

Publication Profile

Scopus

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Google Scholar

👨‍🔬 Summary

Dr. Benjamin H. W. Teo is a dedicated researcher with a focus on sustainable energy technologies, adsorption science, and additive manufacturing. Currently a UKRI Postdoctoral Fellow at Imperial College London, he explores solar technology performance and its integration with other renewable systems. Dr. Teo’s research also extends to polymer crystallization, Metal-Organic Frameworks (MOFs), and their applications in energy systems. With over 18 published journal articles and several international conference presentations, he has become a leading expert in his field, combining theoretical modeling with practical, industry-oriented solutions to address climate change.

🎓 Education

Dr. Teo completed his Ph.D. in Mechanical Engineering from Nanyang Technological University (NTU), Singapore (2014-2019). His doctoral research focused on the green synthesis and modulation of MOFs to enhance water adsorption properties for cooling applications. Prior to this, he earned a Bachelor’s degree in Mechanical Engineering with First Class Honours from NTU (2011-2014), and a Diploma in Mechatronics from Temasek Polytechnic, Singapore (2006-2009).

💼 Professional Experience

Dr. Teo’s professional career has been marked by key roles in leading institutions. As a UKRI Postdoctoral Fellow at Imperial College London (Sep 2023 – Present), he investigates solar cell performance in combination with sustainable technologies and conducts advanced heat transfer simulations. From 2019 to 2023, he worked as a Research Fellow at Nanyang Technological University, leading studies on polymer crystallization in additive manufacturing and contributing to industry collaborations. He also held the role of Project Officer (2019) at NTU, where he conducted extensive research on water adsorption in MOFs and zeolites for cooling system applications.

📚 Academic Cites & Publications

Dr. Teo has contributed extensively to the academic community with 18 journal publications, including 10 as the first author. His work covers topics such as MOF-based adsorption cooling systems and additive manufacturing, with publications in prestigious journals like Applied Thermal Engineering and Journal of Industrial and Engineering Chemistry. His research has garnered significant attention, evidenced by citations in high-impact journals. He has also shared his findings at numerous international conferences, including as an invited keynote speaker.

🛠️ Technical Skills

Dr. Teo possesses a wide range of technical skills, including material characterization techniques like X-ray diffraction (XRD), BET nitrogen adsorption, and scanning electron microscopy (SEM). He is proficient in computational modeling, utilizing Grand Canonical Monte Carlo (GCMC) simulations, phase-field modeling, and thermodynamic frameworks via MATLAB. His expertise also extends to additive manufacturing, where he studies polymer crystallization, melt flow viscosity, and their implications for 3D printed materials.

👩‍🏫 Teaching Experience

Dr. Teo has a strong background in teaching, currently serving as a Graduate Teaching Assistant at Imperial College London (Apr 2024 – Present), where he leads revision lectures and tutorials on Fluid Mechanics. He also volunteered as a Tutor at Nanyang Technological University (Aug 2022 – May 2023), receiving exceptional student feedback. As a Research Mentor, he has guided over 30 students through their final-year projects, with many achieving high academic success. Additionally, he taught Gas Turbine Engine Labs and other courses during his time at NTU, earning recognition for his effective teaching.

🔬 Research Interests

Dr. Teo’s research interests include sustainable energy technologies, particularly solar photovoltaic systems and their integration with other green technologies. He is also deeply involved in additive manufacturing, especially in studying polymer crystallization and its impact on the mechanical properties of 3D printed materials. Additionally, his work in adsorption science focuses on the development of MOFs for water adsorption and cooling applications, aiming to enhance energy efficiency and contribute to climate change mitigation strategies.

📚 Top Notes Publications

Mesoscale simulations of spherulite growth during isothermal crystallization of polymer melts via an enhanced 3D phase-field model
    • Authors: Weidong Li, How Wei Benjamin Teo, Kaijuan Chen, Jun Zeng, Kun Zhou, Hejun Du

    • Journal: Applied Mathematics and Computation

    • Year: 2023

Investigation of polyamide 12 isothermal crystallization through the application of the phase‐field model
    • Authors: How Wei Benjamin Teo, Van Thai Tran, Kaijuan Chen, Kim Quy Le, Hejun Du, Jun Zeng, Kun Zhou

    • Journal: Polymers for Advanced Technologies

    • Year: 2023

Effects of build positions on the thermal history, crystallization, and mechanical properties of polyamide 12 parts printed by Multi Jet Fusion
    • Authors: H. W. B. Teo

    • Journal: Virtual and Physical Prototyping

    • Year: 2022

Non-isothermal crystallization behaviour of polyamide 12 analogous to multi-jet fusion additive manufacturing process
    • Authors: H. W. B. Teo

    • Journal: Polymer

    • Year: 2021

Experimental and modeling investigation on the viscoelastic-viscoplastic deformation of polyamide 12 printed by Multi Jet Fusion
    • Authors: H. W. B. Teo

    • Journal: International Journal of Plasticity

    • Year: 2021

Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

Scopus

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INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS 💼

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake
    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption
    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System
    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol
    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023