Dr. Asem Tahtamouni | Network Management | Best Researcher Award

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Dr. Asem Tahtamouni | Network Management | Best Researcher Award

Dr. Asem Tahtamouni, American University of Madaba, Jordan

Dr. Asem Tahtamouni is an esteemed academic and researcher specializing in financial risk management, banking, and governance. He holds a Ph.D. in Financial Risk Management/Bank Governance from Western Sydney University, where his thesis explored the role of board committees in monitoring the performance of Jordanian listed banks. Dr. Tahtamouni has a strong background in accounting and finance, with a Master of Commerce (Accounting) and a Graduate Certificate in Research Studies from Western Sydney University. He currently serves as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan. Dr. Tahtamouni is also an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute, USA. His work focuses on financial risk management, banking governance, and network management, contributing significantly to academic research and the development of the finance sector. 📚💼🌍

Professional Profile

Orcid
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Google Scholar

Suitability for Award 

Dr. Asem Tahtamouni is highly suitable for the Research for Best Researcher Award due to his extensive academic and professional background in financial risk management, banking governance, and network management. His research contributions, particularly his Ph.D. thesis on the role of board committees in Jordanian banks, have made significant strides in understanding financial governance and risk monitoring in emerging economies. Dr. Tahtamouni’s leadership roles at the American University of Madaba, including heading multiple departments, demonstrate his ability to influence and advance academic programs. His involvement in international workshops and conferences further highlights his commitment to fostering global discussions on financial management and risk. Dr. Tahtamouni’s research and teaching have had a lasting impact on both academic and industry practices in finance, making him a deserving candidate for this prestigious award. 🏆📊🌍

Education 

Dr. Asem Tahtamouni’s academic journey reflects his deep commitment to the fields of financial risk management and banking governance. He completed his Ph.D. in Financial Risk Management/Bank Governance at Western Sydney University in 2015, where his research focused on the role of board committees in monitoring the performance of Jordanian listed banks. Prior to this, Dr. Tahtamouni earned a Graduate Certificate in Research Studies from the same institution in 2010, further honing his research skills. He also holds a Master of Commerce (Accounting) from Western Sydney University, which laid the foundation for his expertise in finance and accounting. Dr. Tahtamouni’s solid academic qualifications, combined with his research-driven approach, have enabled him to make valuable contributions to the fields of finance, banking, and risk management, positioning him as a leader in his field. 🎓📚💡

Experience 

Dr. Asem Tahtamouni has accumulated over a decade of experience in academia, finance, and teaching. He is currently serving as an Associate Professor and Head of the International Accounting & Finance Department at the American University of Madaba, Jordan, where he has made significant contributions to the development of finance programs. Dr. Tahtamouni has also held leadership roles at AUM, including Head of the Banking and Finance Department and Head of the Accounting Department. His career in academia has been complemented by his experience as an academic trainer for the Master in Humanitarian Assistance and Crisis Management program at the SIT Graduate Institute in the USA. Prior to his academic career, Dr. Tahtamouni worked in sales and marketing at Worktek Pty Ltd in Australia, where he gained valuable industry insights. His diverse experience in both academia and industry enables him to provide a unique perspective on financial risk management and governance. 🏫💼📈

Awards and Honors 

Dr. Asem Tahtamouni has received several accolades for his contributions to the fields of finance, banking, and risk management. His research on financial governance and risk management in Jordanian banks has garnered attention and recognition from both academic and professional communities. Dr. Tahtamouni’s leadership roles at the American University of Madaba, where he heads multiple departments, reflect his commitment to advancing higher education in the finance and accounting sectors. Additionally, his participation in prestigious conferences and workshops, such as the Tenth Economic Conference on Digital Economy and Digital Technology and the Higher Diploma in Taxation Workshop, further showcases his dedication to continuous learning and sharing knowledge. Dr. Tahtamouni’s awards and honors highlight his excellence in research, teaching, and leadership, solidifying his reputation as a leading figure in financial risk management and banking governance. 🏅🌟🎖️

Research Focus 

Dr. Asem Tahtamouni’s research focuses on financial risk management, banking governance, and network management. His work explores how financial institutions can effectively manage risk and ensure robust governance structures, particularly in emerging economies. His Ph.D. thesis, which examined the role of board committees in monitoring the performance of Jordanian listed banks, remains a cornerstone of his research contributions. Dr. Tahtamouni’s work on network management seeks to understand how financial systems and institutions can optimize their operations and mitigate risk through strategic governance and decision-making processes. His research also extends to the application of these principles in the context of global financial systems, with a particular emphasis on the Middle Eastern banking sector. Dr. Tahtamouni’s interdisciplinary approach integrates finance, governance, and network theory to address the challenges faced by modern financial institutions. 📊💡🌍

Publication Top Notes

  • Title: Factors Affecting the Market Stock Price – The Case of the Insurance Companies Listed in Amman Stock Exchange
    • Cited by: 119
    • Year: 2016
  • Title: Challenges to Healthcare Information Systems Development: The Case of Jordan
    • Cited by: 43
    • Year: 2021
  • Title: E-banking Services and the Satisfaction of Customers in the Jordanian Banks
    • Cited by: 32
    • Year: 2023
  • Title: The Impact of Social Responsibility Disclosure on the Liquidity of the Jordanian Industrial Corporations
    • Cited by: 26
    • Year: 2018
  • Title: Board Diversity and Corporate Performance: The Jordanian Industrial Corporations Case
    • Cited by: 10
    • Year: 2020

 

 

Dr. Yuan Fang | Network Analysis | Best Researcher Award

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Dr. Yuan Fang | Network Analysis | Best Researcher Award

Dr. Yuan Fang, Guangdong University of Technology, China

Dr. Yuan Fang is a distinguished academic with a Ph.D. in Civil Engineering from The University of Hong Kong (HKU). She holds a Master’s degree in Management from Tianjin University, a Bachelor’s in Engineering, and a Bachelor’s in Law. Dr. Fang has worked as a research assistant at HKU’s Department of Civil Engineering, focusing on green construction, sustainable building practices, and engineering supply chain logistics management. She has led multiple research projects, including a National Natural Science Foundation of China project, and published over 20 academic papers. Currently, Dr. Fang serves as the Head of the Smart Transportation and Construction Department and Director of the MEM Center at Guangdong University of Technology. Her contributions to sustainable construction and her leadership in academic and research projects highlight her expertise and commitment to advancing the field. 🌱🏗️🎓

Professional Profile

Scopus

Suitability for Award 

Dr. Yuan Fang is highly suitable for the Research for Best Researcher Award due to her extensive academic and research contributions in sustainable construction and green building practices. Her leadership in research, including the successful completion of multiple projects funded by the National Natural Science Foundation of China and various academic collaborations, showcases her dedication to advancing the field of civil engineering and sustainable practices. With over 20 published papers and her role as the Head of the Smart Transportation and Construction Department, Dr. Fang is recognized as a leading researcher in the areas of network analysis and sustainable construction. Her academic achievements, combined with her practical involvement in industry projects and student mentorship, demonstrate her exceptional ability to drive innovation and foster progress in the field. Dr. Fang’s work continues to influence the development of sustainable construction practices, making her an ideal candidate for this prestigious award. 🏆📚🌍

Education 

Dr. Yuan Fang holds a Ph.D. in Civil Engineering from The University of Hong Kong (HKU), where she focused on green construction and sustainable building practices. She also holds a Master’s degree in Management from Tianjin University, a Bachelor’s in Engineering, and a Bachelor’s in Law from Tianjin University. Her diverse academic background has equipped her with a unique perspective on integrating technical, managerial, and legal aspects into sustainable construction and engineering practices. Dr. Fang’s academic journey reflects her commitment to interdisciplinary learning and research, which has been central to her success in both academia and industry. Her educational foundation, combined with her extensive research experience, positions her as an influential figure in the field of civil engineering and sustainable construction. 🎓📜🌱

Experience

Dr. Yuan Fang has a wealth of academic and professional experience. She currently serves as a faculty member at Guangdong University of Technology, where she is also the Head of the Smart Transportation and Construction Department and Director of the MEM Center. Previously, she worked as a research assistant at The University of Hong Kong’s Department of Civil Engineering, contributing to projects on green construction and sustainable building practices. Dr. Fang has also worked as a project assistant at Tianjin International Engineering Construction Supervision Company. Her experience spans various aspects of civil engineering, including sustainable construction, project management, and supply chain logistics. She has led numerous research projects, including those funded by the National Natural Science Foundation of China, and has guided over ten student innovation and entrepreneurship projects. Dr. Fang’s interdisciplinary expertise and leadership in both research and teaching have made her a respected figure in her field. 🏗️🔧👩‍🏫

Awards and Honors

Dr. Yuan Fang has received numerous accolades for her academic and professional contributions. In 2023, she was awarded the Outstanding Contribution to Graduate Student Work Award at Guangdong University of Technology. She also received the University’s Teaching Excellence Award in 2021, recognizing her exceptional teaching contributions. Dr. Fang was honored as an Excellent Communist Party Member in 2021 for her dedication to both academic and social responsibilities. Additionally, she was named an Outstanding Young Teacher in 2018 and an Advanced Scientific Worker in 2017. These awards reflect her dedication to excellence in both research and teaching, as well as her commitment to contributing to the development of sustainable construction practices. Dr. Fang’s consistent recognition by her institution and peers highlights her leadership and influence in her field. 🏅🎖️🌟

Research Focus

Dr. Yuan Fang’s research primarily focuses on network analysis and sustainable construction. She has made significant contributions to green building practices, sustainable construction management, and engineering supply chain logistics. Her work in network analysis explores how various factors influence the efficiency and sustainability of construction processes, and she has developed methods for evaluating carbon emissions in foundation construction. Dr. Fang is also deeply involved in the application of entropy-TOPSIS and K-Means methods to assess sustainability in construction projects. Her research aims to reduce environmental impact through innovative construction techniques and to improve project management and supply chain logistics in the construction industry. Dr. Fang’s interdisciplinary approach integrates engineering, management, and sustainability, making her a leader in advancing eco-friendly construction practices. 🌍🏗️📊

Publication Top Notes

  • Title: How to Minimise the Carbon Emission of Steel Building Products from a Cradle-to-Site Perspective: A Systematic Review of Recent Global Research
    • Citations: 23
    • Year: 2022
  • Title: Factors That Influence the Quantification of the Embodied Carbon Emission of Prefabricated Buildings: A Systematic Review, Meta-Analysis and the Way Forward
    • Citations: 17
    • Year: 2022
  • Title: Stakeholder Perceptions of Sustainable Infrastructure Project Delivery: A Comparative Analysis between Guangdong, Hong Kong, and Macao
    • Citations: 2
    • Year: 2022
  • Title: A Random Forest-Based Model for the Prediction of Construction-Stage Carbon Emissions at the Early Design Stage
    • Citations: 59
    • Year: 2021
  • Title: An Index of Completeness (IoC) of Life Cycle Assessment: Implementation in the Building Sector
    • Citations: 12
    • Year: 2021

 

Mr. Ning Tian | Systems in Networks | Best Researcher Award

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Mr. Ning Tian | Systems in Networks | Best Researcher Award

Mr. Ning Tian, Northeast Forestry University, China

Mr. Ning Tian is an undergraduate student at the College of Science, Northeast Forestry University, where he specializes in performance analysis and the dynamical properties of systems in networks. Under the guidance of Dr. Gao Shang, he recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. His research focuses on the stability of random systems with feedback control, particularly in the context of coupled oscillators. By employing techniques from graph theory and Lyapunov methods, he investigates the Noise-to-State Stability in Probability (NSSP) for Random Coupled Kuramoto Oscillators with Input Control (RCKOIC). His work contributes to the understanding of stability in random systems, validated through numerical simulations and tests. 📚💡

Publication Profile:

Orcid

Suitability for the Award:

While Mr. Ning Tian’s achievements are remarkable for his academic stage, the Research for Best Researcher Award typically recognizes seasoned researchers with extensive contributions to their fields. However, Mr. Tian’s work stands out due to:

  • The originality and depth of his research.
  • His ability to address complex problems in networked systems as an undergraduate, which is highly commendable.
  • His contribution to developing methodologies that can impact broader applications in performance analysis and dynamical systems.

Academic Background:

Mr. Ning Tian is currently an undergraduate student at the College of Science, Northeast Forestry University. He is under the supervision of Dr. Gao Shang and specializes in the analysis of dynamical properties of systems in networks. 🎓

Research & Achievements:

He has recently published a paper titled Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control. This work explores the stability of random systems with feedback control, specifically in coupled oscillators, using advanced techniques from graph theory and the Lyapunov method. 📚🧑‍🔬

Contributions to Research & Development:

Through his research, Mr. Tian has made significant contributions to the understanding of stability in random coupled systems. His work, which is validated through numerical simulations, enhances the study of noise-to-state stability in complex networks. ⚙️🔬

Publication Top Note:

Title: Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control
Published: November 27, 2024

 

 

Mr. Gidphil Mensah | Network Optimization | Best Researcher Award

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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.

Profile

Googlescholar

Orcid

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. Here’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:

Mensah’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 🎓

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 💼

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 – 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 🔬

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 🏆

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 – 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 📚

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 – 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. Jingwen Wang | Advanced Functional Network | Best Researcher Award

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Dr. Jingwen Wang | Advanced Functional Network | Best Researcher Award

Dr. Jingwen Wang, Anhui University of Science and technology, China

Dr. Jingwen Wang is a Postdoctoral Researcher specializing in Safety Science and Engineering at the University of Science and Technology of China, where she completed her Doctor of Engineering degree (2020-2024). She also holds a Bachelor of Science in Macromolecule Materials and Engineering from Anhui University (2013-2017). Under the supervision of Academician Liang Yuan, Dr. Wang has made significant strides in material science, focusing on the customized design of nanomaterials and high-performance composites with enhanced properties such as toughness, wear-resistance, fire-safety, and multimodal monitoring capabilities. Her contributions to next-generation materials have been supported by prestigious research projects, including those funded by the National Key Research and Development Program and the National Natural Science Foundation of China.

Professional Profile:

Scopus

Suitability for the Award

Dr. Jingwen Wang is an outstanding candidate for the Best Researcher Award, based on the following key points:

  1. Innovative Research:
    • Dr. Wang’s work on advanced polymer and functional materials showcases a deep understanding of material science. Her ability to design and engineer multifunctional materials and high-performance composites is not only innovative but also highly impactful, pushing the boundaries of what is possible in material science.
  2. High-Impact Publications:
    • Her research is published in top-tier journals such as Chemical Engineering Journal and Advanced Functional Materials, demonstrating the high quality and relevance of her work. The topics she addresses, including flame retardancy, toughness, wear-resistance, and electronic device reconfiguration, are crucial for advancing technology in various industries.
  3. Collaborative Research Experience:
    • Participation in nationally funded research projects highlights her capability to contribute significantly to large-scale, collaborative research endeavors. This experience underscores her role as a leading researcher who can drive impactful studies.
  4. Broad Research Impact:
    • Dr. Wang’s research has broad applications in safety science, engineering, electronics, and materials science, making her work relevant to multiple fields and industries. Her contributions are poised to influence future developments in material science and technology.

Summary of Qualifications

  1. Education:

    • Doctor of Engineering (2020 – 2024), Major in Safety Science and Engineering, University of Science and Technology of China.
    • Bachelor of Science (2013 – 2017), Major in Macromolecule Materials and Engineering, Anhui University.

  2. Work Experience:

    • Postdoctoral Researcher under the supervision of Liang Yuan, an Academician.

  3. Research Contributions:

    • Dr. Wang has made significant contributions to the field of material science, particularly in the customized design of nanomaterials to create multifunctional materials and the tailored design of high-performance composites. Her work has resulted in the development of next-generation materials with enhanced properties, including toughness, wear-resistance, fire-safety, and multimodal monitoring capabilities.

  4. Key Publications:

    • “Targeted assembly of hierarchical sea-urchin inspired NiPS@LDH architecture for enhanced toughness, wear-resistance and fire-safety of epoxy composites,” Chemical Engineering Journal, 2024.
    • “Bioinspired ultra-robust ionogels constructed with soft-rigid confinement space for multimodal monitoring electronics,” Advanced Functional Materials, 2023.
    • “Intrinsic ionic confinement dynamic engineering of ionomers with low dielectric-k, high healing and stretchability for electronic device reconfiguration,” Chemical Engineering Journal, 2023.
    • “Ethanol inducing self-assembly of poly-(thioctic acid)/graphene supramolecular ionomers for healable, flame-retardant, shape-memory electronic devices,” Journal of Colloid and Interface Science, 2023.
    • “Synergistic effects of aryl diazonium modified Few-Layer black Phosphorus/Ultrafine rare earth yttrium oxide with enhancing flame retardancy and catalytic smoke toxicity suppression of epoxy resin,” Applied Surface Science, 2022.

  5. Research Projects:

    • Dr. Wang has participated in several prestigious national research projects, including:
      • National Key Research and Development Program funding.
      • Multiple National Natural Science Foundation of China projects.

Conclusion

Dr. Jingwen Wang is highly suitable for the Best Researcher Award. Her innovative research, high-impact publications, and participation in prestigious research projects underscore her exceptional contributions to the field of material science. Dr. Wang’s work on the customized design of nanomaterials and high-performance composites not only advances academic knowledge but also has practical implications for the development of next-generation materials with enhanced properties. These qualities make her a strong candidate for this prestigious award.

 

 

 

 

 

 

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

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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 Master’s degree in Renewable Energies and Storage and a Bachelor’s in Physics, Mechanical Energy from the same institution. His Master’s thesis centered on simulating air flow around aerodynamic profiles, while his Bachelor’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.

🌐 Professional Profile:

Scopus

🎓 Education:

Dr. Abdellah El-Maaroufi holds a Master’s degree in Renewable Energies and Storage from Université Mohammed V, Faculty of Sciences, Rabat (October 2021). He earned his Bachelor’s in Physics, Mechanical Energy from the same institution (2018-2019), and completed his Baccalauréat in Physics-Chemistry in June 2016.

🔬 Research and Projects:

His Master’s thesis focused on the “Simulation of Air Flow Around an Aerodynamic Profile (NA CA0012)” 🌬️. For his Bachelor’s project, he explored “Photovoltaic Systems: Principles, Materials, and Advanced Technologies” ☀️.

🛠️ Technical Skills:

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

🌟 Interests:

He enjoys regular sports activities such as football and basketball ⚽🏀, and his hobbies include reading, drawing, and scientific research 📚✍️.

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

 

 

Dr. Asfand Fahad | Network Analysis Awards | Best Researcher Award

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Dr. Asfand Fahad | Network Analysis Awards | Best Researcher Award

Dr. Asfand Fahad, Zhejiang Normal University, China

Dr. Asfand Fahad is a highly accomplished mathematician affiliated with Zhejiang Normal University in China. He holds a PhD and M.Phil. in Mathematics from Abdus Salam School of Mathematical Sciences, GC University Lahore, Pakistan, awarded in 2016 and 2013 respectively. Dr. Fahad’s academic journey reflects a profound dedication to advancing mathematical research and education, particularly in the domains of mathematical analysis, information optimization problems, and network analysis. With over 8 years of post-Ph.D. teaching experience at universities in Pakistan, he has mentored numerous Ph.D. and Master’s students, significantly enhancing their academic growth and research output. Dr. Fahad’s commitment to research excellence and multidisciplinary collaboration underscores his impact on academia, making him a pivotal figure in the field of mathematics and computational methodologies.

Professional Profile:

Google Scholar

🎓 Education & Qualifications:

Dr. Asfand Fahad is a highly accomplished mathematician with a PhD and M.Phil. in Mathematics from Abdus Salam School of Mathematical Sciences, GC University Lahore, Pakistan, awarded in 2016 and 2013 respectively. His academic journey reflects a strong dedication to advancing mathematical research and education. Dr. Fahad’s expertise spans various domains within mathematics, contributing significantly to the field through his research and scholarly pursuits at GC University Lahore. His commitment to excellence and innovation in mathematics underscores his profound impact on academia and research in Pakistan.

📚 Teaching Experience:

Dr. Asfand Fahad is a seasoned academic with over 8 years of post-Ph.D. teaching experience at universities in Pakistan. Throughout his career, he has made substantial contributions to higher education, mentoring and supervising numerous Ph.D. and Master’s students. Dr. Fahad’s commitment to fostering academic growth and enhancing research output among his students underscores his passion for education and scholarly pursuits. His expertise and dedication have positioned him as a respected figure in the academic community, contributing significantly to the development of future scholars in Pakistan.

🔬 Research Interests:

Dr. Asfand Fahad is a distinguished scholar specializing in mathematical analysis and applications, information optimization problems, and network analysis. His research focuses on developing computational tools to address multidisciplinary research challenges, emphasizing innovation and practical applications. Dr. Fahad’s expertise in mathematical analysis and optimization contributes significantly to advancing scientific knowledge and enhancing computational methodologies across various domains. His commitment to research excellence and multidisciplinary collaboration positions him as a key figure in the academic community, dedicated to solving complex problems through rigorous mathematical approaches.

🏆 Achievements:

Recipient of multiple awards including Outstanding Researcher Awards and involvement in significant research projects in China and Pakistan.

Publication Top Notes:

  1. Zagreb connection number index of nanotubes and regular hexagonal lattice
    • Year: 2019
    • Cited by: 36
  2. Jensen-Mercer variant of Hermite-Hadamard type inequalities via Atangana-Baleanu fractional operator
    • Year: 2022
    • Cited by: 27
  3. Some eccentricity-based topological indices and polynomials of poly (EThyleneAmidoAmine)(PETAA) dendrimers
    • Year: 2019
    • Cited by: 24
  4. Comparison of irregularity indices of several dendrimers structures
    • Year: 2019
    • Cited by: 20
  5. On topological indices for new classes of benes network
    • Year: 2021
    • Cited by: 19

 

 

 

Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

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Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China

Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China 🇨🇳, holds dual Ph.D. degrees in Mechanical Engineering from Blekinge Institute of Technology, Sweden, and in Mechanical and Electrical Engineering from Kunming University of Science and Technology, China 🎓. As a Distinguished Associate Researcher at the Institute of Intelligent Manufacturing Technology since 2022, Dr. Zhao has made significant strides in intelligent manufacturing, publishing over 70 academic papers, including 8 in JCR Area 1 journals 📚. He has also been granted 4 authorized invention patents. Dr. Zhao leads the Intelligent Connection New Technology R&D Team and directs several key research centers. His outstanding contributions have earned him recognitions such as the Shenzhen Overseas High-Level Talent Introduction “Peacock Plan Category C” 🏆. He has also hosted and participated in numerous research projects worth over 10 million RMB, demonstrating his expertise and leadership in the field 🌟.

🌐 Professional Profile:

Scopus

🎓 Educational Background

  • Ph.D. in Mechanical Engineering: Blekinge Institute of Technology, Sweden (2015.12-2017.1)
  • Ph.D. in Mechanical and Electrical Engineering: Kunming University of Science and Technology, China (2012.09-2018.06)

💼 Professional Experience

  • Distinguished Associate Researcher: Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University (2022.7–present)
  • Secondment: Shenzhen Municipal Science and Technology Innovation Commission Major Special Project Division (2022.12-2023.8)
  • Postdoctoral Fellow: Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (2020.9–2022.6)
  • Distinguished Associate Professor: School of Mechanical Engineering, Guizhou University (2018.9-2020.7)

📚 Academic Contributions

Dr. Zhao Lun has made significant contributions to the field of intelligent manufacturing. He has published over 70 academic papers, with 8 in JCR Area 1 journals. He has been granted 4 authorized invention patents and has supervised numerous postgraduate students, including 3 postdoctoral, 3 doctoral, and over 30 master’s students.

🏆 Achievements and Roles

  • Leader: Intelligent Connection New Technology R&D Team
  • Director: Shenzhen Vocational College-Guangzhou Xindongli Ultrasonic Welding R&D Center
  • Director: Shenzhen Vocational College-Guangdong Haimingsheng Intelligent Connection Joint Laboratory
  • Postdoctoral Supervisor
  • External Tutor: Tsinghua University Shenzhen International Graduate School

🌟 Recognitions and Awards

  • Shenzhen Overseas High-Level Talent Introduction “Peacock Plan Category C”
  • Hosted and participated in research projects: Worth over 10 million RMB, including the 2022 National Key R&D Plan of the Ministry of Science and Technology, National Natural Science Foundation Youth Fund Project, China Postdoctoral Fund General Project, and Shenzhen High-end Talent Scientific Research Startup Project.

Publication Top Notes:

  • Numerical and experimental investigation of an Archimedes screw turbine for open channel water flow application
  • A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
  • Mechanical properties of ultrasonic welded and self-piercing riveted joints in a 5A06 aluminum alloy and a TA1 titanium alloy
  • Influence of Patterns on Mechanical Properties of Ultrasonically Welded Joints in Copper Substrate and Wire
  • Numerical study on the injection strategy on combustion and emission characteristics of a non-road diesel engine under different altitude conditions