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 π¬π§. He holds a Masterβs degree in Artificial Intelligence and Data Science π€π from the University of Hull, with an academic background in Physics/Electronics β‘. 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 π± and dementia in cancer populations π§ , 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
π Academic & Professional Background
Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Masterβs degree in Artificial Intelligence and Data Science π€π from the University of Hull, and an academic foundation in Physics/Electronics β‘. His career spans key sectors including energy β‘, media π₯, and healthcare π₯, 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 π± and examining dementia prevalence in cancer populations π§ using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress
π Research & Innovations
Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning π€ and data science π. His completed works include predictive modelling for renewable energy adoption in developing countries πβ‘, and an enhanced ML approach for forecasting solar energy integration βοΈ. Currently, he is exploring the association between physical activity and dementia in cancer populations π§ πββοΈ 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
π Areas of Research
Mr. Williams Ossaiβs research spans several high-impact domains at the intersection of technology and society π. His core focus lies in Applied Machine Learning π€, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics β‘π±, building predictive models that support sustainable energy transitions. His work in Health Data Science π§¬π₯ leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact ππ‘, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.
Publication Top Notes
π Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
π An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
π Exploring the Association Between Physical Activity and Dementia in Cancer Populations
Β Obed Nelson OnsomuΒ is a dedicated Energy Systems Engineer with a strong academic foundation, holding an MSc in Energy Systems Engineering and currently pursuing a Ph.D. in the same field. He has a deep interest in sustainable energy solutions, particularly in the optimization of energy systems and Virtual Power Plants (VPP). With extensive research experience, he is passionate about scaling energy systems for sustainable development. Obed combines his technical expertise with strong communication skills, making him a valuable contributor to the field of energy engineering.
Β Obed Nelson OnsomuΒ has an impressive educational background in engineering. He earned his Bachelor of Science (B.S.) in Mechatronic Engineering from the University of Turkish Aeronautical Association, Ankara, Turkey, in 2017. He then completed his MSc in Energy Systems Engineering in 2020 from Yildirim Beyazit University, Ankara, Turkey. Currently, Obed is pursuing a Ph.D. in Energy Systems Engineering, focusing on Virtual Power Plants, from the same university, expected to complete in December 2023.
Β Obed Nelson OnsomuΒ has a diverse range of professional experiences. Since January 2020, he has been working as an R&D Project Engineer at INAVITAS in Turkey, where he has been involved in developing PID controllers for energy storage systems and working on grid-renewable power exchange projects. He also has experience as a Sales Engineer, Manager, STEM Instructor, and Installation Specialist, demonstrating his versatility and leadership in various roles across the energy and education sectors.
Β Obed Nelson OnsomuΒ is primarily focused on research related to Virtual Power Plants (VPP), distributed generation, and the optimization of energy systems. His Ph.D. thesis is centered on the application of VPPs in sustainable energy development. He has also worked extensively on topics such as electricity markets, energy storage systems, and renewable energy integration.
Β Obed Nelson OnsomuΒ has been recognized for his academic and professional contributions, although specific awards and honors are not detailed. His continued pursuit of excellence in his Ph.D. studies and professional projects reflects his commitment to advancing the field of energy systems engineering.