Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Xiamen University | China

Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured publications

  • Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.

  • Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.

  • Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.

  • Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.

Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

Mr. Abdullah Alghamdi | Emerging Areas in Neuroscience | Best Researcher Award

Mr. Abdullah Alghamdi, University of Birmingham (UK) and Taibah University (Saudi Arabia),  United Kingdom.

Eng. Abdullah A. Zohaid (SMIEEE, SMIET) is an accomplished electrical engineer and academic with a specialization in Smart Power Systems, focusing on electric vehicles, AI-integrated transportation systems, and sustainable smart city infrastructure. With a solid educational foundation—earning distinctions at every academic level—he has seamlessly merged academic excellence with real-world engineering experience. From his early career at Saudi Aramco to his dual lecturing roles at Taibah University and the University of Birmingham, Abdullah has built a reputation as a forward-thinking researcher, educator, and strategist. His work bridges technical innovation with societal needs, aiming to optimize power grids and energy systems for a sustainable future.

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🎓 Early Academic Pursuits

From the historic city of Medina, Saudi Arabia, Eng. Abdullah A. Zohaid embarked on his academic journey in Electrical Engineering at Taibah University, where his talent and determination earned him distinction in his final project. His academic passion soon carried him to the United Kingdom, where he pursued an MSc in Electrical Power Systems at the University of Birmingham, graduating with First-Class Honors and distinction. Abdullah’s unwavering commitment to academic excellence continued as he embarked on a Ph.D. in Smart Power Systems at the same institution. Excelling in all areas, he has distinguished himself through both research prowess and scholastic achievement.

⚡ Professional Endeavors

Eng. Alghamdi has established himself as a dynamic professional straddling the worlds of academia and industry. His journey began with Saudi Aramco’s Dodsal Company, contributing to the vital 56″ Gas Pipeline project as an assistant electrical engineer. He transitioned into academia with his role as a Lecturer at Taibah University in Yanbu and later joined the University of Birmingham as a faculty member. Balancing dual academic roles in Saudi Arabia and the UK, Abdullah has developed a unique global perspective, blending practical engineering insight with cutting-edge educational delivery. His presence as an educator underscores his belief in empowering future engineers with real-world readiness.

🔬 Contributions and Research Focus

A scholar deeply embedded in the future of sustainable power, Eng. Alghamdi’s research focuses on Smart Power Systems, electric vehicles, smart charging infrastructures, and the integration of AI in intelligent transportation systems. Through his ongoing Ph.D. research, he explores how emerging technologies can enhance smart grid resilience and contribute to the development of smart cities. He utilizes advanced simulation and optimization tools such as MATLAB/SIMULINK, Python, and Gurobi, combined with machine learning techniques (ANN/CNN), to propose innovative solutions that address pressing energy challenges. His passion for sustainability is evident in his contributions to the global energy discourse, especially in urban mobility and decarbonization.

🏆 Accolades and Recognition

Eng. Zohaid’s career is adorned with recognition and academic milestones. His consistent distinction in every academic phase, including honors during both his MSc and Ph.D. studies, reflects a sustained trajectory of excellence. As a senior member of prestigious engineering bodies like IEEE and IET, and a certified Professional Engineer by the Saudi Council of Engineers, his credentials are a testament to his standing in the professional community. Furthermore, his publications in Q1 journals and contributions to leading international conferences validate the depth of his research and the quality of his scholarly communication.

🌍 Impact and Influence

With affiliations across IEEE working groups and university research circles, Eng. Alghamdi’s influence spans global academic and professional spheres. As a presenter and contributor at numerous high-level conferences — from the IEEE Power & Energy Society to Net Zero Futures and Saudi Innovation events — he has played a key role in shaping conversations on smart energy. His multidisciplinary expertise allows him to drive collaborations across AI, optimization, and power systems, impacting both policy and practice. His ability to simplify complex engineering concepts and communicate them effectively has enabled him to become a trusted voice among peers and students alike.

💡 Innovation and Strategic Vision

Abdullah’s strength lies in visionary thinking and strategic problem-solving. He doesn’t merely research problems—he crafts systems and strategies that reflect future-forward thinking. His approach to sustainable urban infrastructure blends technological acumen with strategic planning, leadership, and innovation. As an educator and researcher, he fosters environments that promote critical thinking and team-based innovation, cultivating the next generation of engineers equipped to face tomorrow’s challenges. His work on smart charging and intelligent transportation embodies the essence of transformative impact through design thinking and systems innovation.

🚀 Legacy and Future Contributions

Looking ahead, Eng. Abdullah A. Zohaid is poised to leave a lasting legacy in the realm of smart power systems and urban sustainability. His dual role as a lecturer and researcher gives him a powerful platform to shape both academic knowledge and real-world applications. With his continued focus on electrification, smart mobility, and AI-driven infrastructure, he is on track to influence policy, inspire innovation, and expand the boundaries of what is possible in modern power systems. His legacy will be defined not only by the technologies he helps build but also by the students and professionals he inspires along the way.

Publication

  • Innovative Prepositioning and Dispatching Schemes of Electric Vehicles for Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience of Modern Power Distribution Networks with Active Coordination of EVs and Smart Restoration
    AAM Alghamdi, D. Jayaweera, 2023

 

  • Modelling Frameworks Applied in Smart Distribution Network Resiliency and Restoration
    AAM Alghamdi, D. Jayaweera, 2022

 

  • Resilience-Oriented Restoration in Modern Power Distribution Networks with Smart Electric Vehicles Coordination Framework
    A. Alghamdi, D. Jayaweera, 2023

 

  • Risk and Resilience Based Residential Electric Vehicle Integration Framework for Restoration of Modern Power Distribution Networks
    A. Alghamdi, D. Jayaweera, 2025

 

  • Electric Boats and Electric Vehicles Data-Driven Approach for Enhanced Resilience in Power Distribution Networks
    AAM Alghamdi, D. Jayaweera, 2025

 

✅ Conclusion

Eng. Alghamdi stands at the forefront of energy transformation, using research, innovation, and teaching as tools to drive meaningful change. His contributions reflect a blend of technical mastery and visionary leadership, enabling progress in smart mobility, clean energy, and intelligent infrastructure. With a growing portfolio of Q1 publications, prestigious memberships, and impactful conference roles, he continues to influence the field of electrical engineering on a global scale. As he advances in his career, his legacy will be marked by both technological advancements and the future minds he mentors—solidifying his role as a transformative figure in the evolution of smart power systems.

Dahua Yu | EEG and FMRI | Best Researcher Award

Prof.Dr. Dahua Yu | EEG and FMRI | Best Researcher Award

Prof. Dr. Dahua Yu, Inner Mongolia University of Science and Technology, China.

Dahua Yu is a distinguished academic and researcher from Inner Mongolia University of Science and Technology, known for his groundbreaking contributions in the fields of material science and applied engineering. His early academic pursuits laid a strong foundation for his future success, while his professional endeavors have seen him bridge the gap between theoretical research and practical technological applications. Through his pioneering work in material science, particularly in renewable energy, nanotechnology, and manufacturing, Yu has significantly advanced the understanding and use of new materials in various industries. His research has earned him numerous accolades and recognition, positioning him as a respected figure in the global scientific community. Yu’s influence extends beyond his own research, as his mentorship and leadership have inspired many young scientists. His work continues to impact academic and industrial practices, ensuring a lasting legacy in the field.

 

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Early academic pursuits 📚

Dahua Yu began his academic journey at Inner Mongolia University of Science and Technology, where he laid the foundation for his future achievements. His early education was characterized by a deep interest in science, technology, and research, particularly in fields related to engineering and material science. Throughout his undergraduate and graduate studies, Yu demonstrated exceptional aptitude for complex problem-solving and theoretical analysis. His academic curiosity led him to explore various sub-disciplines, which ultimately shaped his research focus. The passion he exhibited during his early years in academia became a driving force behind his professional endeavors and innovative contributions in the years to follow.

Professional endeavors 🔬

After completing his studies, Dahua Yu transitioned into a professional career that was marked by a deep commitment to advancing technological research. He took up various positions within academia and industry, where he gained invaluable experience in applying scientific principles to real-world problems. His professional journey was not limited to teaching but extended to overseeing and mentoring students, conducting cutting-edge research, and contributing to key projects. Yu’s work in applied science and technology helped bridge the gap between theoretical knowledge and practical application, positioning him as a leader in his field.

Contributions and research focus 🔍

Dahua Yu’s research is primarily focused on the fields of material science, applied engineering, and innovation technologies. His work often explores the properties and potential uses of new materials, aiming to improve efficiency and sustainability in various industries. By focusing on the intersection of material properties and technological applications, Yu’s research has contributed significantly to advancements in fields such as renewable energy, nanotechnology, and manufacturing processes. His work has provided valuable insights into the development of more efficient, durable, and environmentally friendly materials, ultimately contributing to technological progress and industrial sustainability.

Accolades and recognition 🏆

Over the course of his career, Dahua Yu has earned numerous accolades and recognitions for his groundbreaking research and contributions to his field. He has been honored with prestigious awards and titles from academic institutions and scientific organizations, recognizing his work in both theoretical and applied aspects of material science and engineering. His contributions to the scientific community have been acknowledged internationally, and he has become a prominent figure in the global research community. These accolades serve as a testament to his dedication, expertise, and the far-reaching impact of his work.

Impact and influence 🌍

Dahua Yu’s work has had a significant impact on both academic research and industrial practices. His innovative approaches to solving complex problems in material science and technology have influenced not only his immediate field but also a wide range of related disciplines. Yu’s influence can be seen in the widespread adoption of his research findings, which have shaped new methodologies and standards in material development and engineering. Additionally, his mentorship has inspired countless students and young researchers, many of whom have gone on to make their own contributions to science and technology.

Legacy and future contributions 🔮

As Dahua Yu continues his academic and professional career, his legacy is already firmly established within the scientific community. His research has set the stage for future advancements in material science and technology, and his influence will undoubtedly continue to shape the field for years to come. Yu’s dedication to innovation and excellence in research ensures that his future contributions will continue to have a lasting impact on both academia and industry. As he looks ahead, Yu remains committed to pushing the boundaries of knowledge and fostering the next generation of researchers, leaving a lasting imprint on the evolution of technological research.

📚 Publications

    1. Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement
      Authors: Shichuang Zhou, Ming Zhang, Liang Wu, Dahua Yu, Jianjun Li, Fei Fan, Liyun Zhang, Yang Liu
      Year: 2024

     

    1. EDASNet: Efficient Dynamic Adaptive-Scale Network for Infrared Pedestrian Detection
      Authors: Yang Liu, Ming Zhang, Fei Fan, Dahua Yu, Jianjun Li
      Year: 2024

     

    1. Efficient Remote Sensing Image Target Detection Network With Shape-Location Awareness Enhancements
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Genwang Liu
      Year: 2024

     

    1. Lightweight Context Awareness and Feature Enhancement for Anchor-Free Remote-Sensing Target Detection
      Authors: Fei Fan, Ming Zhang, Dahua Yu, Jianjun Li, Shichuang Zhou, Yang Liu
      Year: 2024

     

    1. Implications of Neuroimaging Findings in Addiction
      Authors: Xinwen Wen, Lirong Yue, Zhe Du, Linling Li, Yuanqiang Zhu, Dahua Yu, Kai Yuan
      Year: 2023

     

    1. Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Erratum to “Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition”
      Authors: Ming Zhang, Jubai An, Da Hua Yu, Li Dong Yang, Liang Wu, Xiao Qi Lu
      Year: 2022

     

    1. Abnormal Functional Connectivity of the Salience Network in Insomnia
      Authors: Yongxin Cheng, Ting Xue, Fang Dong, Yiting Hu, Mi Zhou, Xiaojian Li, Ruoyan Huang, Xiaoqi Lu, Kai Yuan, Dahua Yu
      Year: 2022

     

    1. Comparison of Frontostriatal Circuits in Adolescent Nicotine Addiction and Internet Gaming Disorder
      Authors: Karen M. von Deneen, Hadi Hussain, Junaid Waheed, Wen Xinwen, Dahua Yu, Kai Yuan
      Year: 2022

     

    1. Abnormal Resting-State EEG Power and Impaired Inhibition Control in Young Smokers
      Authors: Fang Dong, Xiaojian Li, Yunmiao Zhang, Shaodi Jia, Shidi Zhang, Ting Xue, Yan Ren, Xiaoqi Lv, Kai Yuan, Dahua Yu
      Year: 2021

     

    1. Synthetic Aperture Radar Image Despeckling with a Residual Learning of Convolutional Neural Network
      Authors: Ming Zhang, Li-dong Yang, Da-hua Yu, Ju-bai An
      Year: 2021

Conclusion

Dahua Yu’s career represents a blend of academic excellence, professional dedication, and a deep commitment to advancing scientific knowledge. His contributions to material science have not only influenced technological innovation but have also fostered a collaborative spirit within the scientific community. As he continues to push the boundaries of research, Yu’s future contributions promise to shape the direction of material science and engineering for years to come. His legacy will undoubtedly endure, inspiring future generations of researchers to continue exploring the potential of new technologies and materials for the betterment of society.