Tatiana Tchemisova Cordeiro | Graph Theory | Women Researcher Award

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Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro | Graph Theory | Women Researcher Award

Associate Professor | University of Aveiro | Portugal 

Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro is a distinguished mathematician and academic leader at the University of Aveiro, Portugal, renowned for her expertise in applied mathematics, optimization, and operational research. She earned her Ph.D. in Physical and Mathematical Sciences from the National Academy of Sciences of Belarus, with degree equivalency recognized by the University of Aveiro, and also holds graduate and master’s degrees in mathematics from Belarusian State University. Fluent in multiple languages, she has built an international academic career through teaching, research, and coordination of numerous Erasmus+ educational innovation projects.Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro has served in key academic roles, including vice-director of the master’s program in mathematics and applications and Erasmus departmental coordinator, while actively promoting interdisciplinary collaboration across Europe and Asia. A senior researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), she has contributed extensively to projects in optimization, control theory, and applied mathematics. Her scholarly influence is reflected in 45 scientific publications, 191 citations across 111 documents, and an h-index of 8, underscoring the academic impact of her research. She is a member of several scientific societies, including the Portuguese Mathematical Society, APDIO, EUROPT, and the EURO WISDOM Forum, where she has held leadership and editorial positions. Through her commitment to research excellence, academic mentorship, and international collaboration, Professor Tchemisova continues to make significant contributions to advancing mathematics and its applications worldwide.

Profile : Scopus | Orcid

Featured Publication 

Dias, D. A., Pita, M., Tchemisova, T., Martins, N., & Cação, I. (Eds.). New approaches to entrepreneurship education: Best practices from European Universities. UA Editora.

Tchemisova, T. V., Torres, D. F., & Plakhov, A. Yu. Dynamic control and optimization, DCO 2021, Aveiro, Portugal, February 3-5, 2021. Selected, revised contributions.

Bykadorov, I., Strsuevich, V. A., & Tchemisova, T. Mathematical optimization theory and operations research: Revised selected papers of the 18th International Conference, MOTOR 2019, Ekaterinburg, Russia. Springer series of Communications in Computer and Information Science (CCIS), 1090.

Plakhov, A., Tchemisova, T., & Freitas, A. Optimization in the natural sciences: Revised selected papers of 30th Euro Mini-Conference EmC-ONS, Aveiro, Portugal, February 5-9, 2014. Springer series of Communications in Computer and Information Science (CCIS), 499.

Tchemisova Cordeiro, T. V., Kharlamova, V. I., Freitas, A., & Plakhov, A. Yu. Equações diferenciais ordinárias: Resumos teóricos, exercícios resolvidos e propostos. UA Editora, Universidade de Aveiro.

Dr. Chan-Hong Kim | Network Optimizations | Best Researcher Award

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Dr. Chan-Hong Kim | Network Optimizations | Best Researcher Award

Dr. Chan-Hong Ki, Korea Mine Rehabilitation and Mineral Resources Corporation, South Korea

Dr. Chan-Hong Kim is an accomplished geotechnical engineer with a distinguished career spanning over two decades. He holds a Ph.D. in Soil Mechanics and Foundation Engineering from Pusan National University, South Korea. Dr. Kim has contributed significantly to the field of geotechnical engineering through his work in both the private and public sectors. His career includes roles as a Geotechnical Engineer at Dong-Ah Geological Engineering Co. Ltd., and leadership positions as Deputy Team Head at Korea Resources Corporation, Korea Mine Rehabilitation and Mineral Resources Corporation, and currently at the Korea Radioactive Waste Agency. With expertise in soil mechanics, foundation engineering, and network optimization, Dr. Kim has made valuable contributions to geotechnical research and the management of mineral and radioactive waste. His extensive experience in geotechnical engineering, coupled with his research focus, positions him as a leading figure in his field. 🏗️🌍🔬

Professional Profile

Orcid

Suitability for Award 

Dr. Chan-Hong Kim is highly suitable for the Research for Best Researcher Award due to his extensive expertise in soil mechanics, foundation engineering, and network optimization. His career has been marked by his contributions to both practical engineering and cutting-edge research in the geotechnical field. Dr. Kim’s leadership roles in various organizations, including the Korea Radioactive Waste Agency, demonstrate his ability to apply research findings to real-world challenges. His work on geotechnical projects and network optimizations has made a significant impact on the safe management of mineral and radioactive waste, showcasing his commitment to advancing both environmental sustainability and public safety. Dr. Kim’s research not only enhances the understanding of soil mechanics and foundation engineering but also integrates innovative network optimization techniques to address critical engineering challenges. His career and research achievements make him a deserving candidate for this prestigious award. 🏅🌐🔧

Education 

Dr. Chan-Hong Kim’s educational background reflects his deep commitment to geotechnical engineering. He earned his Bachelor of Arts in Civil Engineering from Pusan National University in 1997, followed by a Master of Arts in Civil Engineering from the same institution in 1999. Dr. Kim further advanced his expertise by completing a Ph.D. in Soil Mechanics and Foundation Engineering at Pusan National University in 2002. His doctoral research focused on soil mechanics, a crucial aspect of civil engineering that influences the design and stability of structures. This academic foundation has provided him with the theoretical and practical knowledge necessary to excel in his field. Dr. Kim’s education has been a cornerstone of his successful career, enabling him to make significant contributions to the geotechnical engineering industry, particularly in the areas of foundation engineering, waste management, and network optimization. 🎓🔍🏗️

Experience

Dr. Chan-Hong Kim has an extensive professional career in geotechnical engineering, spanning both the private and public sectors. He began his career in 2002 as a Geotechnical Engineer at Dong-Ah Geological Engineering Co. Ltd., where he contributed to various geotechnical projects, gaining invaluable hands-on experience in soil mechanics and foundation engineering. From 2014 to 2021, Dr. Kim served as Deputy Team Head at Korea Resources Corporation, overseeing projects related to resource management and waste disposal. His expertise was further sought after at the Korea Mine Rehabilitation and Mineral Resources Corporation, where he held a similar leadership role. Since 2023, Dr. Kim has been serving as Deputy Team Head at the Korea Radioactive Waste Agency, where he applies his extensive knowledge of geotechnical engineering and network optimization to the safe disposal of radioactive waste. His experience in managing large-scale projects and addressing environmental challenges makes him a leader in his field. 🛠️🌍⚒️

Awards and Honors

Throughout his distinguished career, Dr. Chan-Hong Kim has received numerous awards and recognitions for his contributions to geotechnical engineering and environmental management. He was honored for his role in advancing the safe management of mineral and radioactive waste, which has had a significant impact on environmental protection. Dr. Kim’s leadership in the geotechnical field has earned him accolades from various organizations, including the Korea Resources Corporation and the Korea Radioactive Waste Agency. His work in network optimization and soil mechanics has been widely recognized for its innovative approach to solving complex engineering challenges. While specific awards and honors may not be listed, Dr. Kim’s leadership and contributions to his field have solidified his reputation as an expert in geotechnical engineering and waste management. His ongoing research and practical applications continue to benefit both the engineering community and society at large. 🏆🎖️🌍

Research Focus

Dr. Chan-Hong Kim’s research focuses on the optimization of geotechnical networks, particularly in the context of soil mechanics, foundation engineering, and waste management. His work aims to improve the stability and safety of engineering structures by analyzing soil behavior and the impact of foundation designs. Additionally, Dr. Kim has been actively involved in the optimization of networks related to the safe disposal of mineral and radioactive waste. His research on network optimization techniques plays a crucial role in managing complex systems and ensuring the sustainable and safe disposal of hazardous materials. Dr. Kim’s interdisciplinary approach integrates soil mechanics with cutting-edge optimization methods to address both environmental and engineering challenges. His contributions to the geotechnical field, particularly in waste management and network optimization, have provided innovative solutions that enhance the efficiency and safety of large-scale engineering projects. 🌐🧑‍🔬⚙️

Publication Top Notes

  • Title: Site-Specific Hydrogeological Characterization for Radiological Safety: Integrating Groundwater Dynamics and Transport
    • Date: 2025
  • Title: Soil Classification from Piezocone Penetration Test Using Fuzzy Clustering and Neuro-Fuzzy Theory
    • Date: April 2022

 

 

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.

 

 

 

 

 

 

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

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Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao, Xidian University, China

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, where he leads research in interactive learning, deep reinforcement learning, and multi-objective game confrontation. With over 10 publications in prestigious international journals and conferences, his work showcases significant innovation and expertise in artificial intelligence and machine learning. Mr. Zhao actively contributes to the field through his roles in specialized committees, including the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC. His research interests and professional activities highlight his dedication to advancing AI technology and his influence within the scientific community.

Professional Profile:

Scopus
Google Scholar

Suitability for the Award

Mr. Bocheng Zhao is a strong contender for the Research for Best Researcher Award due to his significant contributions to the fields of AI and machine learning, particularly in areas that are at the forefront of current technological advancements. His active involvement in professional committees, coupled with his role as an associate professor at a leading institution, further solidifies his position as a leading researcher in his field.

Professional Role and Expertise:

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, indicating a leadership position in a prominent academic institution. His primary research areas include interactive learning, deep reinforcement learning, and multi-objective game confrontation. This expertise aligns well with cutting-edge research topics in artificial intelligence and machine learning.

Research Contributions:

Mr. Zhao has made substantial contributions to his field with over 10 publications in prestigious international journals and conferences. His work in interactive learning and reinforcement learning addresses complex problems and demonstrates a high level of research innovation and technical expertise.

Professional Memberships:

His involvement in specialized committees, such as the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC, highlights his active role in shaping the future of these research areas and his influence in the broader scientific community.

Research Interests:

His research interests in interactive learning, intelligent growth, and related fields reflect a focus on advancing knowledge and technology in significant areas of artificial intelligence. This aligns with the goals of the Research for Best Researcher Award, which seeks to recognize individuals making notable contributions to their fields.

Publication Top Notes:

  • Title: Parame: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
    • Year: 2020
    • Cited by: 60
  • Title: Deep Imitator: Handwriting Calligraphy Imitation via Deep Attention Networks
    • Year: 2020
    • Cited by: 23
  • Title: Pen Tip Motion Prediction for Handwriting Drawing Order Recovery Using Deep Neural Network
    • Year: 2018
    • Cited by: 14
  • Title: Nonrigid Point Matching of Chinese Characters for Robot Writing
    • Year: 2017
    • Cited by: 12
  • Title: Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation with a Weakly Supervised Framework
    • Year: 2022
    • Cited by: 5

 

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