Prof Dr. Jian Hao | Innovative Leadership | Best Researcher Award

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Prof Dr. Jian Hao | Innovative Leadership | Best Researcher Award

Chongqing University, China

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Scopus

Early Academic Pursuits 🎓

Jian Hao’s academic journey began at Chongqing University, where he earned his Bachelor’s degree in Electrical Engineering between 2003 and 2007. His passion for the field led him to pursue higher studies at the same institution. By 2009, he had completed his Master’s degree, deepening his expertise in electrical engineering with a focus on power transmission systems.

His thirst for knowledge did not stop there. Jian Hao advanced to PhD studies at Chongqing University, which he successfully completed between 2009 and 2012. His research during this time centered on transformer oil-paper insulation and the aging mechanisms affecting power transmission efficiency. His dedication to academic excellence earned him a prestigious opportunity to become an academic visitor at the University of Southampton, UK, between 2010 and 2011, further enriching his global perspective and technical acumen.

Professional Endeavors 🏛️

Jian Hao is currently a teacher and researcher at the State Key Laboratory of Power Transmission Equipment Technology, housed within the School of Electrical Engineering, Chongqing University. His work primarily focuses on the reliability and efficiency of power transmission systems, particularly the longevity and performance of transformer oil-paper insulation.

As an educator, he plays a pivotal role in mentoring future electrical engineers, integrating cutting-edge research into his teaching methodologies. His experience as a researcher allows him to blend theoretical knowledge with real-world applications, making significant contributions to China’s power transmission sector.

Contributions and Research Focus 🔬

Jian Hao’s research focuses on the aging mechanism of transformer oil-paper insulation, a crucial component in power grids. His investigations delve into the factors affecting insulation performance, degradation processes, and the characterization of aging indicators. His work has practical implications in prolonging the lifespan of transformers, enhancing their efficiency, and reducing maintenance costs.

Additionally, Jian Hao has contributed to developing diagnostic techniques that detect early signs of insulation deterioration, enabling proactive maintenance and preventing catastrophic failures in power systems. His expertise in power transmission equipment technology places him at the forefront of innovation in China’s electrical infrastructure.

Accolades and Recognition 🏅

Over the years, Jian Hao has garnered numerous awards and recognitions for his contributions to electrical engineering. His research papers have been published in high-impact journals, and his findings have been presented at prestigious international conferences.

His affiliation with the State Key Laboratory of Power Transmission Equipment Technology highlights his status as a leading expert in the field. Through his work, he has earned respect from peers and industry professionals alike, solidifying his reputation as an authority in power transmission research.

Impact and Influence 🌍

Jian Hao’s work extends beyond academia and directly impacts the power industry. His research provides actionable insights for power companies, policymakers, and equipment manufacturers, contributing to the development of more efficient and durable power systems. By addressing the critical issue of transformer insulation aging, his studies help reduce energy losses, enhance grid stability, and support China’s push toward sustainable energy solutions.

Moreover, as a teacher, he has shaped the next generation of electrical engineers, instilling in them the importance of research-driven innovation. His ability to translate complex engineering concepts into practical applications ensures that his students are well-equipped to tackle real-world challenges in power transmission.

Legacy and Future Contributions 🚀

Looking ahead, Jian Hao is poised to continue his groundbreaking research in electrical insulation and power transmission technologies. His future endeavors may include:

  • Advancing AI-driven diagnostics for transformer aging prediction
  • Developing eco-friendly insulation materials for sustainable energy systems
  • Collaborating with international researchers to enhance global power grid reliability

 

đź“ťNotable Publications

 Development Characteristics of Lightning Impulse Discharge Streamer of Three-element Mixed Insulation Oil Based on Simulation Research

Authors: J. Zhang, Junyi; J. Hao, Jian; J. Zhang, Jingwen; W. Qin, Wei; R. Liao, Ruijin
Journal: Gaodianya Jishu / High Voltage Engineering
Year: 2024

 Microscopic behavior of liquid-solid interface of modified laurate ester and cellulose under combined electrothermal action

Authors: W. Ye, Wenyu; J. Hao, Jian; C. Gao, Chenyu; J. Zhang, Jianwen; R.J. Liao, Ruijin Jin
Journal: Journal of Molecular Liquids
Year: 2024

 Study on Generation Mechanism and Experiment of GIS Multi-frequency Vibration Signals

Authors: Y. Feng, Ying; J. Wu, Jianwen; Z. Wang, Zhi; Y. Shao, Yang; C. Wang, Chengyu
Journal: Zhongguo Dianji Gongcheng Xuebao / Proceedings of the Chinese Society of Electrical Engineering
Year: 2024

 Microstructure-ionisation potential relationship analysis for understanding the molecular ionisation difference of natural esters during the impulse discharge via DFT calculation

Authors: J. Zhang, Jingwen; J. Hao, Jian; W. Ye, Wenyu; J. Zhang, Junyi; R.J. Liao, Ruijin Jin
Journal: High Voltage
Year: 2024

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

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Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Tshwane University of Technology, South Africa

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🌱 Early Academic Pursuits

Christine Bukola Asaju embarked on her journey in computer science with a solid foundation. She completed her Bachelor of Science in Computer Science (B.Sc.) at the University of Ilorin, Kwara State, Nigeria, in 2002. Her project, “Automating an Inventory System,” demonstrated her early interest in problem-solving through technology, as she applied automation to a case study on the Global Soaps and Detergent Industry. Driven by an enthusiasm for knowledge and understanding, Christine continued her studies, earning a Postgraduate Diploma in Education in 2008 from the University of Ado-Ekiti, Ekiti State, Nigeria. Her project focused on exploring the social and moral impacts of issues like women trafficking, highlighting her awareness of societal concerns and the role of education in addressing them. This interdisciplinary background enriched her perspective and laid the groundwork for her future contributions to e-learning.

👩‍🏫 Professional Endeavors

Christine currently serves in the Department of Computer Science at the Federal Polytechnic, Idah, Kogi State, Nigeria. With a career rooted in academic excellence, she finds fulfillment in sharing her insights with others to foster learning and development in computer science. Her ability to convey complex concepts has not only made her an invaluable educator but also a communicator within the scientific community. As a dedicated faculty member, Christine has taken on the role of a mentor and collaborator, always encouraging students and colleagues alike to expand their understanding and drive innovation within the field.

🔍 Contributions and Research Focus

Christine’s academic journey reached a new pinnacle when she earned her Ph.D. in Computer Science from the University of the Witwatersrand in Johannesburg, South Africa, in 2023. Her doctoral research, “Spatio-Temporal Reasoning for Estimating Student’s Learning Affect: An Approach to Strengthen E-Learning,” delves into using machine learning techniques to enhance online learning experiences by better understanding student emotions and engagement. This innovative work addresses the growing need for effective digital learning platforms that adapt to individual student needs, a key area of focus in modern educational technology. Guided by her advisor, Professor Hima Vadapalli, Christine’s research stands at the intersection of machine learning and education, contributing significantly to the advancement of e-learning methodologies.

In addition, Christine’s Master of Science (M.Sc.) in Computer Science, completed in 2010 at the University of Ilorin, reflects her early inclination toward applied computer science research. Her thesis on “Development of an Automatic Yoruba Speech Recognition System” aimed at improving accessibility and preserving linguistic heritage through technology. This project, supervised by Professor T.S. Ibiyemi, underscores her commitment to applying technological solutions to real-world challenges, particularly those that impact underrepresented communities.

🏆 Accolades and Recognition

Christine’s dedication to academic excellence and impactful research has been recognized by her peers and the broader academic community. She has an ORCID Research ID (0000-0003-2728-6806) and an active profile on Google Scholar, where her work is accessible to a global audience, allowing her contributions to reach researchers, educators, and students worldwide. Christine’s scholarly achievements and her focus on innovative solutions in computer science have made her a respected figure in her field, especially in Africa, where her work on e-learning holds significant relevance.

🌍 Impact and Influence

Christine’s contributions extend beyond research and teaching. She actively seeks to bridge the gap between academia and society, using her knowledge and communication skills to engage with both scientific and general audiences. Her work, particularly in machine learning applications for e-learning, has had a profound impact on improving educational systems by making them more accessible, adaptive, and effective. Her commitment to research has positively influenced the computer science community, inspiring others to pursue impactful work that addresses real-world challenges.

Christine is also a proud advocate for knowledge-sharing and collaboration, which she views as essential for advancing the scientific community. Her teaching philosophy centers on fostering a love of learning and curiosity among her students. By instilling in them the importance of lifelong learning and critical thinking, Christine has created a ripple effect, nurturing future generations of computer scientists who will carry forward her legacy of innovation and dedication to societal betterment.

🌟 Legacy and Future Contributions

Looking ahead, Christine aims to continue making meaningful contributions to the field of computer science, particularly in the areas of machine learning, educational technology, and social impact research. She envisions further research that will not only deepen understanding in these fields but also generate practical solutions for educational institutions worldwide. With a clear focus on tackling emerging societal issues, Christine aspires to explore how advancements in artificial intelligence and machine learning can be harnessed to address diverse challenges in education, such as accessibility, engagement, and personalized learning.

As Christine pursues these goals, her work will undoubtedly leave a lasting impact on the fields of computer science and education. Her journey from an undergraduate student to an accomplished researcher and educator is a testament to her resilience, dedication, and passion for knowledge. Christine Bukola Asaju’s legacy will likely inspire many, proving that with commitment and a focus on meaningful research, one can make substantial contributions that benefit both academia and society at large.

 📝Notable Publications

 A Temporal Approach to Facial Emotion Expression Recognition

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Southern African Conference for Artificial Intelligence Research
Year: 2021

Affects Analysis: A Temporal Approach to Estimate Students’ Learning

Authors: Christine Bukola Asaju, Hima Vadapalli
Journal/Conference: 2021 3rd International Multidisciplinary Information Technology and Applications Conference
Year: 2021

Short Message Service (SMS) Spam Detection and Classification Using NaĂŻve Bayes

Authors: Christine Bukola Asaju, E.J. Nkorabon, R.O. Orah
Journal/Conference: Conference Organizing Committee
Year: 2021

Development of a Machine Learning Model for Detecting and Classifying Ransomware

Authors: Christine Bukola Asaju, D. Otoo-Arthur, R.O. Orah, F. Sekyi-Dadson
Journal/Conference: 2021 1st International Conference on Multidisciplinary Engineering and Technology
Year: 2021

 Affect Analysis: A Literature Survey on Student-Specific and General Users’ Affect Analysis

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Science and Information Conference
Year: 2024

Assoc Prof Dr. Fan Fan | Innovative Leadership | Best Researcher Award

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Assoc Prof Dr. Fan Fan | Innovative Leadership | Best Researcher Award

Wuhan University , China

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Scopus 

🎓 Early Academic Pursuits

Fan Fan embarked on his academic journey with a deep interest in the fields of electronic information and engineering. He completed his bachelor’s degree in 2009 from Huazhong University of Science and Technology, one of China’s leading universities known for its strong emphasis on engineering and technology. His passion for research led him to continue his studies at the same institution, where he earned his Doctorate in 2015. This solid foundation laid the groundwork for his future contributions to the field of electronic information, particularly in the areas of infrared imaging and image processing.

During his academic training, Fan Fan was involved in various research projects that helped him hone his skills and deepen his understanding of complex technological concepts. His doctoral research focused on innovative methods to enhance the detection and recognition rate of small targets in infrared imaging, a field that was rapidly evolving with the advent of new technologies and computational methods. This early phase of his career was marked by a commitment to addressing real-world challenges through scientific inquiry and technological innovation.

🛠️ Professional Endeavors

After completing his doctoral studies, Fan Fan joined the School of Electronic Information at Wuhan University, where he quickly rose through the ranks to become an associate professor and doctoral supervisor. His role at Wuhan University involves not only teaching and mentoring the next generation of engineers but also leading cutting-edge research projects that push the boundaries of what is possible in the field of infrared imaging.

As the project leader, Fan Fan has presided over several significant research initiatives funded by prestigious organizations. These include the Foundation Strengthening program, Frontier Innovation projects, the National Natural Science Foundation, and the Natural Science Foundation of Hubei Province. His leadership in these projects underscores his ability to drive complex research endeavors and deliver impactful results.

Fan Fan is also a backbone member of the innovation group of the Ministry of Education and the innovation group of Hubei Province. These groups are dedicated to fostering innovation in education and technology, and Fan Fan’s involvement highlights his commitment to contributing to broader societal advancements through his expertise in electronic information.

🔍 Contributions and Research Focus

Fan Fan’s research interests are centered on infrared imaging, spectral image processing, infrared and visible image fusion, and infrared dim target detection. These areas are critical for a wide range of applications, including military, environmental monitoring, and industrial automation. His work is particularly focused on improving the detection and recognition rates of small targets, which is a challenging problem in the field of infrared imaging due to factors such as noise, low contrast, and the complexity of the target’s background.

Over the years, Fan Fan has published more than 60 academic papers in internationally recognized journals such as the Journal of Applied Spectroscopy (JAS), IEEE Transactions on Circuits and Systems for Video Technology (CSVT), IEEE Transactions on Geoscience and Remote Sensing (TGRS), and IEEE Transactions on Intelligent Transportation Systems (TITS). His contributions to these journals have been widely cited, with three of his papers being recognized as highly cited by Essential Science Indicators (ESI) and one as a hot paper. These accolades reflect the significance and impact of his research in the scientific community.

🏆 Accolades and Recognition

Fan Fan’s contributions to the field of electronic information have been recognized with several prestigious awards. In 2022, his research on “Research on several problems and Methods of infrared imaging Enhancement” earned him the second prize in the Natural Science Award of Hubei Province. This award is a testament to the innovative nature of his work and its relevance to addressing key challenges in infrared imaging.

In 2018, he was awarded the first prize in the Natural Science Award of Hubei Province for his research on “Efficient and high-precision image matching theory and its Application.” This work demonstrated his ability to develop high-impact solutions that are not only theoretically sound but also practical and applicable to real-world problems.

Fan Fan’s earlier work in 2017 on “Research on some basic problems of high-precision image matching in visual perception” also received the second prize in the Natural Science Award from the Chinese Society of Automation. These recognitions highlight his sustained excellence in research and his contributions to advancing the field of electronic information.

🌍 Impact and Influence

Fan Fan’s research has had a significant impact on the field of infrared imaging and image processing. His innovative approaches to improving small target detection and image fusion have influenced both academic research and practical applications. His work has contributed to advancements in military surveillance, environmental monitoring, and industrial automation, where high-precision image processing is critical.

Moreover, as a doctoral supervisor, Fan Fan has mentored numerous students who have gone on to make their own contributions to the field. His influence extends beyond his immediate research, as he helps shape the future of electronic information through his teaching and mentorship.

🚀 Legacy and Future Contributions

Looking ahead, Fan Fan is poised to continue making significant contributions to the field of electronic information. His ongoing research projects and his leadership in innovative groups at the Ministry of Education and Hubei Province position him at the forefront of technological advancements in infrared imaging and image processing.

His future work is likely to focus on further enhancing the capabilities of infrared imaging systems, particularly in terms of target detection and image fusion. As the field continues to evolve, Fan Fan’s research will undoubtedly play a critical role in shaping the future of electronic information and its applications in various industries.

Publications 

Instance segmentation of pigs in infrared images based on INPC model

Authors: Wang, G., Ma, Y., Huang, J., Li, H., Li, Z.

Journal: Infrared Physics and Technology

Year: 2024

PTET: A progressive token exchanging transformer for infrared and visible image fusion

Authors: Huang, J., Chen, Z., Ma, Y., Tang, L., Xiang, X.

Journal: Image and Vision Computing

Year: 2024

A progressive framework for rotary motion deblurring

Authors: Qin, J., Ma, Y., Huang, J., Fan, F., Du, Y.

Journal: Defence Technology

Year: 2024

CMFuse: Cross-Modal Features Mixing via Convolution and MLP for Infrared and Visible Image Fusion

Authors: Cai, Z., Ma, Y., Huang, J., Fan, F., Zhao, Z.

Journal: IEEE Sensors Journal

Year: 2024

Robust Feature Matching via Graph Neighborhood Motion Consensus

Authors: Huang, J., Li, H., Gong, Y., Du, Q., Ma, J.

Journal: IEEE Transactions on Multimedia

Year: 2024

Dr. Susanne Kumpulainen | Innovative Leadership | Best Researcher Award

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Dr. Susanne Kumpulainen | Innovative Leadership | Best Researcher Award

South-Eastern Finland University of Applied Sciences, Finland

đź”— Professional Profiles

🌍 Summary:

Susanne Kumpulainen is a dedicated RDI Specialist and Team Lead at South-Eastern Finland University of Applied Sciences, focusing on Planetary Health and Brain research. Her expertise lies in neurophysiological adaptations, brain neurofeedback innovations, and the wellbeing effects of nature-based interventions.

🎓 Education:

Susanne holds a Doctor of Sport Science, specializing in neurophysiological adaptations of the brain and body. She conducted pioneering research at the University of Jyväskylä and pursued postdoctoral studies at Polar Electro Oy.

đź’Ľ Professional Experience:

With over six years at Xamk, Susanne has led the development of validated lab procedures and innovative digital nature ecosystems. She collaborates extensively, aiming to expand research on environmental factors and neurological health.

🔬 Research Interests:

Susanne’s current initiatives explore the intersection of environmental factors and neurological health under the ‘Planetary Health and Brain’ framework.

Publication Top Noted

Assessing the well-being benefits of VR nature experiences on group: Heart rate variability insights from a cross-over study

    • Authors: Susanne Kumpulainen, Samad Esmaeilzadeh, Arto J. Pesola
    • Journal: Journal of Environmental Psychology
    • Volume: 2024
    • Issue: 8
    • Pages: (Not specified)
    • Year: 2024
    • DOI: 10.1016/j.jenvp.2024.102366

Enhancing Psychophysiological Well-Being through Nature-based Soundscapes: An Examination of Heart Rate Variability in a Cross-Over Study

    • Authors: Susanne Kumpulainen, Samad Esmaeilzadeh, Markus Pesonen, Catarina BrazĂŁo, Arto J. Pesola
    • Journal: Preprint (not yet published in a journal at the time of preprint)
    • Date: 2024-01-16
    • DOI: 10.31234/osf.io/zpfq3