Williams Ossai | Renewable Energy | Best Researcher Award

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Mr. Williams Ossai | Renewable Energy | Best Researcher Award

Mr. Williams Ossai, Summit Media, United Kingdom

Mr. Williams Ossai is a Data and Analytics Specialist at Summit Media, Hull, UK 🇬🇧. He holds a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, with an academic background in Physics/Electronics ⚡. His work spans energy, media, and healthcare sectors, where he applies machine learning for impactful decision-making. Williams is actively involved in research on renewable energy adoption 🌱 and dementia in cancer populations 🧠, utilizing UK Biobank data. His contributions bridge innovation and social impact, transforming complex data into actionable insights for sustainability, healthcare improvement, and global development

Publication Profile

Google Scholar

🎓 Academic & Professional Background

Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, and an academic foundation in Physics/Electronics ⚡. His career spans key sectors including energy ⚡, media 🎥, and healthcare 🏥, where he employs advanced analytics and machine learning to derive actionable insights. Beyond his professional role, he conducts applied research, notably modeling renewable energy adoption 🌱 and examining dementia prevalence in cancer populations 🧠 using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress

🚀 Research & Innovations

Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning 🤖 and data science 📊. His completed works include predictive modelling for renewable energy adoption in developing countries 🌍⚡, and an enhanced ML approach for forecasting solar energy integration ☀️. Currently, he is exploring the association between physical activity and dementia in cancer populations 🧠🏃‍♂️ using large-scale health data. These interdisciplinary studies bridge environmental sustainability and healthcare analytics. While his citation index is currently at zero, his ongoing projects hold strong potential for academic recognition and real-world application

🔍 Areas of Research

Mr. Williams Ossai’s research spans several high-impact domains at the intersection of technology and society 🌍. His core focus lies in Applied Machine Learning 🤖, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics ⚡🌱, building predictive models that support sustainable energy transitions. His work in Health Data Science 🧬🏥 leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact 📈💡, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.

Publication Top Notes

📘 Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
📘 An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
📘 Exploring the Association Between Physical Activity and Dementia in Cancer Populations

Abolfazl Hadavi | Electrical power | Best Researcher Award

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Dr. Abolfazl Hadavi | Electrical power | Best Researcher Award

Dr. Abolfazl Hadavi at Faculty of Electrical and Computer Engineering, Tabriz University, Iran

Abolfazl Hadavi is a highly experienced software engineer and electronics specialist from Tabriz, Iran, with over 20 years of professional expertise in programming, system design, and hardware-software integration. 💻🔧 He has built numerous custom software solutions across industries such as healthcare and energy. Leveraging a solid foundation in electrical and computer engineering, he bridges technical knowledge with practical innovation. His passion lies in developing advanced embedded systems and intelligent applications, combining his programming skills and electronics background to create efficient, user-focused technologies. 🌐🔌

Publication Profile

Orcid

Academic Background

Abolfazl holds a Bachelor’s degree in Electrical and Computer Engineering (2007), followed by a Master’s in Mechatronics (2018), both from the University of Iran, Tabriz. 📘🛠 He is currently pursuing a Ph.D. in Electrical and Computer Engineering at the same institution since 2020. 📚 His academic path reflects a multidisciplinary approach, blending electrical systems, automation, and software design. Through his studies, he has focused on integrating theoretical knowledge with hands-on engineering to address real-world technical challenges. 🔍🎓

Professional Background

With two decades of experience, Abolfazl has served as a system designer and programmer at Manir Company (2002–2016), and as a software expert for the East Azerbaijan Electricity Distribution Company since 2016. ⚡🖥 He has led and contributed to key projects, including medical registration systems, energy loss calculators, and invoice and report generation software. His work supports efficiency improvements in critical infrastructure sectors. His deep industry engagement, combined with technical excellence, has established him as a trusted innovator in applied informatics and system development. 🏗️🖱️

Awards and Honors

While specific awards are not listed in the provided profile, Abolfazl’s contributions to vital systems in the electricity and healthcare sectors demonstrate a track record of practical innovation. 🌟 His role in developing high-impact tools for public utility optimization suggests strong recognition within his organizations. 🏅 His long-term professional service and expertise have likely earned him internal commendations and project leadership roles, reflecting both technical acumen and reliability in mission-critical software and hardware solutions. 🤝📈 

Research Focus

Abolfazl’s research interests center on the integration of embedded systems with intelligent software, particularly in energy distribution, automation, and mechatronic applications. 🔍🤖 His work bridges hardware design and software architecture, aiming to improve efficiency and interoperability in systems. As a Ph.D. student, he is likely involved in research around smart grids, real-time monitoring, or embedded control systems, contributing to technological advancement in infrastructure and electronics. 🔄⚙️ His vision emphasizes practical outcomes that address pressing challenges in engineering and applied computing. 💡📊

Publication Top Notes

📘 Critical inertia thresholds for frequency stability in renewable Energy-Integrated power systems

📅 Year: 2025 | ✍️ Authors: Abolfazl Hadavi, Mehrdad Tarafdar Hagh, Saeid Ghassem Zadeh

Conclusion

Abolfazl Hadavi is a highly skilled software and systems engineer with over 20 years of experience in programming, system development, and applied electronics. With a strong foundation in VB.NET, C#, Oracle, Angular, and embedded systems, he has led and contributed to impactful projects in energy, telecommunications, and healthcare sectors. His cross-disciplinary background in electrical engineering, mechatronics, and software development enables him to create integrated hardware-software solutions with real-world relevance. Currently pursuing a Ph.D. in Electrical and Computer Engineering, his academic progression highlights a deepening engagement with research, positioning him as a valuable contributor to applied technological innovation.

 

Shi Ruijuan | Battery | Best Researcher Award

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Dr. Shi Ruijuan | Battery | Best Researcher Award

Dr. Shi Ruijuan, Henan University, China

Dr. Ruijuan Shi is a dedicated materials scientist specializing in energy storage technologies. She earned her B.S. degree from Henan Normal University in 2014 and completed her Ph.D. at Nankai University in 2020. Currently serving as a lecturer at Henan University, Dr. Shi’s research focuses on the development of advanced electrode materials and electrolyte modifications for rechargeable metal batteries. Her contributions aim to enhance battery efficiency and longevity, addressing critical challenges in clean energy storage. With her academic excellence and innovative research, Dr. Shi continues to advance sustainable energy solutions.

Publication Profile

scopus

Education 🎓

Dr. Ruijuan Shi obtained her Bachelor of Science degree from Henan Normal University, Xinxiang, China, in 2014, where she built a strong foundation in materials science. She pursued her Ph.D. at Nankai University, Tianjin, China, completing her doctoral studies in 2020. During her Ph.D., she focused on energy storage technologies, particularly on advanced electrode materials and electrolyte modifications for rechargeable metal batteries. Her academic journey reflects a commitment to advancing clean energy research and finding sustainable solutions for next-generation energy storage devices.

Experience 👩‍🏫

Currently, Dr. Shi Ruijuan serves as a lecturer at Henan University, where she combines her passion for teaching and research. She mentors undergraduate and graduate students while contributing to cutting-edge research in material science. Her work primarily focuses on rechargeable metal batteries, aiming to improve their performance and sustainability. Dr. Shi has presented her findings at various conferences and collaborated with academic and industrial partners to translate her research into practical applications. Her commitment to advancing scientific knowledge is evident in her interdisciplinary collaborations and contributions to the field of energy storage.

Research Focus 🔬

Dr. Shi’s research focuses on the fabrication of advanced electrode materials and electrolyte modifications for rechargeable metal batteries. Her work addresses key challenges in battery performance, including energy density, cycle stability, and safety. By developing novel materials and optimizing electrolytes, she aims to create sustainable and efficient energy storage solutions. Her research contributes to advancements in electric vehicles, renewable energy storage, and portable electronics. With a focus on practical applications and interdisciplinary innovation, Dr. Shi is committed to making clean energy storage a reality.

Publication Top Note

Regulating Interfacial Wettability for Fast Mass Transfer in Rechargeable Metal-Based Batteries

Conclusion 📌

Dr. Ruijuan Shi is a strong candidate for the Best Researcher Award due to her expertise in rechargeable metal batteries and material science. If her research impact and contributions are well-documented through high-quality publications and citations, she would be a deserving recipient of this honor.