Mr. Gidphil Mensah | Network Optimization | Best Researcher Award

Mr. Gidphil Mensah | Network Optimization | Best Researcher Award

Mr. Gidphil Mensah, Asst. Lecturer, University of Energy and Natural Resources, Ghana

Gidphil Mensah is a distinguished researcher and lecturer specializing in sustainable energy technologies. He is currently pursuing a Ph.D. in Sustainable Energy Technologies at Kwame Nkrumah University of Science and Technology (KNUST). His work focuses on innovative solutions for energy efficiency, renewable energy, and green hydrogen production, particularly in the context of Ghana. Mensah’s extensive experience includes research and practical applications in energy systems, from solar PV mini-grids to electric vehicle charging solutions.

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Based on the provided information, Gidphil Mensah appears to be a strong candidate for the “Best Researcher Award” in the field of sustainable energy technologies and renewable energy systems. Hereā€™s an evaluation of his strengths, areas for improvement, and a concluding assessment of his suitability for the award:

Strengths for the Award:

Innovative Research Contributions:

Gidphil Mensah has engaged in several cutting-edge research projects related to renewable energy, particularly solar PV systems and hydrogen production. His work includes developing machine learning models for predicting redundant energy and optimizing the performance of solar irradiation measurement instruments.

Relevant and Impactful Projects:

His projects, such as the investigation of hydrogen production from redundant energy on solar PV mini-grids and the economic assessment of green hydrogen and EV charging, address significant challenges in sustainable energy. These projects have practical implications for energy systems in Ghana and other similar contexts.

Strong Publication Record:

Mensah has published multiple papers in reputable journals, including the International Journal of Hydrogen Energy and Solar Energy Advances. His work on machine learning for energy prediction and optimization demonstrates the high quality and relevance of his research.

Diverse Research Experience:

His research experience spans a range of topics within sustainable energy, including solar PV mini-grids, green hydrogen production, and AI applications for intimate partner violence. This breadth showcases his ability to tackle diverse and complex issues within his field.

Leadership and Collaboration:

Mensah has led research teams in high-profile projects funded by organizations such as Innovate UK and the Modern Energy Cooking Service (MECS). His leadership in these projects and his role in writing research proposals and papers highlight his capability in managing and contributing to significant research initiatives.

Practical Engineering Experience:

His hands-on experience in electrical engineering and solar technology complements his research activities. This practical background enriches his understanding of real-world challenges and solutions in renewable energy.

Commitment to Capacity Building:

Mensahā€™s involvement in training and workshops, such as those in neural networks and building energy performance, indicates his commitment to staying updated with the latest advancements and applying them to his research.

Areas for Improvement:

Broader Impact Communication:

While Mensah’s research is impactful, a clearer emphasis on how his work influences policy, industry practices, or societal benefits could strengthen his application. Providing concrete examples of how his research has led to tangible improvements or implementations would be beneficial.

Interdisciplinary Integration:

Although his research is strong within the field of sustainable energy, exploring further interdisciplinary collaborations could enhance the scope and applicability of his work. For instance, integrating insights from social sciences or economic studies could provide a more holistic approach to energy challenges.

Public Engagement and Outreach:

Increasing efforts in public engagement, such as through community workshops or public talks, could further elevate his profile. Highlighting any initiatives where his research has been communicated to or has impacted the broader public would be advantageous.

Education šŸŽ“

Gidphil Mensah holds a Doctor of Philosophy in Sustainable Energy Technologies from Kwame Nkrumah University of Science and Technology (2022-Present). He completed his Master of Philosophy in Renewable Energy Technologies at the same institution in May 2022 and earned a Bachelor of Science in Electrical and Electronic Engineering from the University of Energy and Natural Resources in August 2018.

Experience šŸ’¼

Gidphil’s professional journey encompasses roles as an Assistant Lecturer in the Computer and Electrical Engineering Department at the University of Energy and Natural Resources (August 2024-Present) and a Research Assistant at KNUST’s Sustainable Energy Service Centre (January 2023 ā€“ July 2024). His hands-on experience extends to part-time work as an Electrical Engineer at Godwill Electricals Enterprise and previous positions involving the assembly of electric motorbikes and solar street lights. His diverse roles reflect a strong commitment to advancing renewable energy technologies and their practical applications.

Research Interests šŸ”¬

Gidphil Mensah’s research interests center on sustainable energy solutions, including the optimization of solar PV mini-grids, green hydrogen production, and electric vehicle charging infrastructure. His work explores machine learning applications in predicting redundant energy for cooking and assessing economic feasibility for integrating green technologies. His current projects involve developing AI-based tools for intimate partner violence support and optimizing solar irradiation measurement instruments using neural networks.

Awards šŸ†

Gidphil has been recognized for his contributions to the field with a Certificate of Reviewing from Solar Energy, Elsevier for his peer reviews (November 2023 ā€“ January 2024). He has also been acknowledged for his extensive training and workshop participation, including certifications in Neural Network and Deep Learning and Building Energy Performance.

Publication Top Notes šŸ“š

Gidphil Mensah has authored several impactful publications:

Investigating green hydrogen production operated by redundant energy on a solar PV mini-grid through Matlab simulation and artificial neural network, International Journal of Hydrogen Energy, 2024.

Optimisation of the performance of a prototype instrument for measuring solar irradiation using artificial neural network, Solar Energy Advances, 2024.

Machine learning of redundant energy of a solar PV Mini-grid system for cooking applications, Solar Energy, 2023.

Towards the estimation of quantity of fuel consumed in steam generation through predictive modelling of feedwater temperature, Scientific African, 2023.

Stimulating green energy potential in Sub-Saharan Africa: An analysis of copper ā€“ copper sulphate thermogalvanic cell architecture, Thermal Science and Engineering Progress, 2022.

Assessment of hazard recognition performance of thermal power plant workers: A case study of a combined cycle power plant, Cogent Engineering, 2023.

Prioritising Barriers and Strategies to Green Hydrogen Adoption and Development for Sustainable Energy Transition in Ghana: An Integrated MCDM Approach, SSRN, no date.

 

Conclusion:

Gidphil Mensah is a highly suitable candidate for the “Best Researcher Award” given his substantial contributions to the field of sustainable energy. His innovative research, strong publication record, and leadership in significant projects underscore his excellence as a researcher.

To further enhance his candidacy, focusing on how his research has had a broader societal impact and seeking more interdisciplinary collaborations could provide additional strengths. Overall, his achievements, practical experience, and commitment to advancing sustainable energy technologies make him a compelling candidate for the award.

 

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Dr. Iftikhar Ahmad | Network Optimization Awards | Best Researcher Award

Dr. Iftikhar Ahmad, University of Gujrat, Pakistan

Dr. Iftikhar Ahmad is an accomplished researcher and Assistant Professor of Mathematics at The University of Chenab, with a strong academic background, including a Ph.D., MPhil, and BS in Mathematics from the University of Gujrat, Pakistan. His research expertise lies in neural networks and nonlinear models, with a focus on solving complex mathematical problems through advanced computational techniques such as Wavenet. Dr. Ahmad has made significant contributions to applied mathematics, demonstrated by his publications in high-impact journals, and is dedicated to advancing both research and education in his field.

Professional Profile:

Scopus

Suitability for the Best Researcher Award

Dr. Iftikhar Ahmad is highly suitable for the Best Researcher Award. His strong academic background, particularly in applied mathematics and his focus on neural networks and nonlinear models, positions him as a leading researcher in his field. His recent publications in high-impact journals demonstrate his ability to conduct advanced research and contribute valuable insights to the mathematical and engineering communities. Moreover, his role as an Assistant Professor highlights his commitment to academia, not only in teaching but also in fostering research.

Academic Background:

Dr. Ahmad has a solid academic foundation in Mathematics, having completed a Ph.D., MPhil, and BS in the field from the University of Gujrat, Pakistan. His doctoral research focused on the design and applications of Wavenet for solving nonlinear models, which demonstrates his capability in tackling complex mathematical problems using advanced computational techniques. His MPhil thesis also delved into the numerical study of nonlinear problems using neural networks, further emphasizing his expertise in applied mathematics and computational methods.

Professional Experience:

Dr. Ahmad has considerable teaching experience, currently serving as an Assistant Professor at The University of Chenab and previously at the University of Gujrat. His roles have involved not only delivering lectures but also supporting research groups, which indicates his active engagement in both teaching and research activities. His experience as a Mathematics lecturer at the undergraduate level also highlights his commitment to educating future mathematicians.

Publication Top Notes:

  • On the applications of collocation method for numerically analyzing the nonlinear Degasperis-Procesi and Benjamin-Bona-Mahony equations

    Cited by: 5

  • Optimal control of thermoregulation in the human dermal regions investigated through the stochastic integrated techniques

    Cited by: 2

  • Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact

    Cited by: 2

  • Intelligent predictive computing for functional differential system in quantum calculus

    Cited by: 1

  • Integrated intelligence of inverse multiquadric radial base neuro-evolution for radiative MHD Prandtlā€“Eyring fluid flow model with convective heating

    Cited by: 1

 

 

 

Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

Dr. Abdellah El-Maaroufi | Network Optimization Awards | Best Researcher Award

Dr. Abdellah El-Maaroufi, University Mohammed V in Rabat faculty of sciences, Morocco

Dr. Abdellah El-Maaroufi is a researcher at the University Mohammed V in Rabat, Faculty of Sciences, Morocco. He earned a Masterā€™s degree in Renewable Energies and Storage and a Bachelorā€™s in Physics, Mechanical Energy from the same institution. His Masterā€™s thesis centered on simulating air flow around aerodynamic profiles, while his Bachelorā€™s project focused on photovoltaic systems. Dr. El-Maaroufi is skilled in various technical tools including SCAPS and ANSYS Fluent. Outside of research, he enjoys sports like football and basketball, as well as reading, drawing, and scientific exploration.

šŸŒ Professional Profile:

Scopus

šŸŽ“ Education:

Dr. Abdellah El-Maaroufi holds a Masterā€™s degree in Renewable Energies and Storage from UniversitĆ© Mohammed V, Faculty of Sciences, Rabat (October 2021). He earned his Bachelorā€™s in Physics, Mechanical Energy from the same institution (2018-2019), and completed his BaccalaurĆ©at in Physics-Chemistry in June 2016.

šŸ”¬ Research and Projects:

His Masterā€™s thesis focused on the “Simulation of Air Flow Around an Aerodynamic Profile (NA CA0012)” šŸŒ¬ļø. For his Bachelorā€™s project, he explored “Photovoltaic Systems: Principles, Materials, and Advanced Technologies” ā˜€ļø.

šŸ› ļø Technical Skills:

Dr. El-Maaroufi is proficient in various technical tools including SCAPS, Office Suite, DesignBuilder, AutoCAD, DAMMWERK, WINDOW6, and ANSYS Fluent.

šŸŒŸ Interests:

He enjoys regular sports activities such as football and basketball āš½šŸ€, and his hobbies include reading, drawing, and scientific research šŸ“šāœļø.

Publication Top Notes:

Techno-economic Analysis of a PV/WT/Biomass Off-Grid Hybrid Power System for Rural Electrification in Northern Morocco Using HOMER
  • Publication Year: 2024