Sylvester Sadekla | Sustainability | Best Researcher Award

Mr. Sylvester Sadekla | Sustainability | Best Researcher Award

PhD student, Technical University of Munich, Germany

Sylvester S. Sadekla 🎓 is a dynamic Research Associate at the Technical University of Munich 🇩🇪 with a passion for data-driven insights 📊 and strategic decision-making. He combines expertise in economics, finance, and data science 🤖 to support impactful research and innovation. With a strong background in managing cross-functional teams 👥, Sylvester excels in project management, statistical analysis, and stakeholder engagement. He is fluent in English and proficient in German 🇬🇧🇩🇪, with memberships in cultural and environmental organizations 🎶🌿. Sylvester thrives on using technology and analytics to solve problems, optimize processes, and drive sustainable growth 🌍🚀.

 Profile

🎓 Education :

Sylvester S. Sadekla is currently pursuing a Ph.D. in Economics at the Technical University of Munich (2023–Present) 📚. He holds a Certificate in Business Analysis from Brainnest, Bremen (Feb–Apr 2022) 📈, and a Certificate in Data Science & Machine Learning from the Massachusetts Institute of Technology (Jun–Oct 2021) 🤖. His academic journey began with an M.Phil. in Finance from the University of Ghana (2015–2017) 💰, followed by a B.Sc. in Mathematics & Statistics from the University of Cape Coast (2005–2009) 📐.

💼  Experience :

Sylvester’s professional experience includes his current role as a Research Associate at the Technical University of Munich (2023–Present) 🧪, where he contributes to high-impact research on technology adoption and sustainability. Prior to this, he served as a Research Project Manager at the Centre for Migration Studies in Accra (2020–2023) 🌍, and as a Business Analyst at AkwaabaLab for Experimental Economics (2018–2020) 📊. He began his career as a Regional Project Manager with the Ghana Mathematics Society (2010–2015) ➕, where he promoted math education across schools and regions.

📚 Professional Development :

Sylvester Sadekla continuously enhances his professional skills through diverse learning experiences and collaborative projects 🎯. He holds certifications in Data Science & Machine Learning from MIT 🧠, and Business Analysis from Brainnest 📊. His professional journey includes optimizing project workflows, managing large-scale research projects, and utilizing tools like SQL, Stata, Python, and Power BI 💻. His ability to blend analytical skills with strategic foresight helps him tackle complex challenges, improve research quality, and lead data-driven decision-making 🚀. Sylvester is also actively involved in stakeholder engagement, resource optimization, and agile project management across academic and applied research settings 🔍🤝.

🔬 Research Focus :

Sylvester’s research centers on technology adoption, sustainability, market analysis, and behavioral economics 🌱📈. He investigates how firms adopt innovative solutions and the influence of consumer behavior and policy on these transitions 💼🧠. His work uses advanced data analytics, econometric modeling, and machine learning techniques 🧮🤖 to understand market dynamics, sustainability practices, and strategic business decisions. With a background in finance and economics, he bridges theory and practical application to support impactful and future-ready research 🌍🔬. Sylvester is especially passionate about using research to inform public policy and sustainable innovation within both local and global contexts 🌐📘.

🏆 Awards and Honors :

Sylvester S. Sadekla has been recognized for his exceptional contributions to research and stakeholder engagement. 🏆 In April 2024, he was awarded Best Presenter at the 10th Hans Eisenmann Forum in Weihenstephan for his compelling presentation and analytical insights. 👏 At the Technical University of Munich, he received informal internal recognition for his outstanding stakeholder engagement and insightful data analysis. 🏅 During his tenure at the Centre for Migration Studies, Sylvester was acknowledged for Outstanding Research Management, reflecting his ability to optimize resources and lead impactful projects. 🏫 He also earned Regional Impact Recognition from the Ghana Mathematics Society for significantly increasing student participation and outreach across schools.

Publication Top Notes : 

Sustainable postharvest processing technologies for dried food commodities and firm-level adoption: A critical review

Authors: [Authors not specified in the provided information]
Journal: Current Food Science and Technology Reports
Volume: 2
Pages: 231–239
Year: 2024
DOI: 10.1007/s43555-024-00026-8

🔚 Conclusion :

Sylvester S. Sadekla’s profile illustrates a rare blend of technical acumen, leadership, and societal engagement—hallmarks of a top-tier researcher. His dedication to using data science for strategic, sustainable development, paired with his ability to manage and deliver collaborative research, makes him highly deserving of the Best Researcher Award. His contributions not only advance academic knowledge but also generate tangible benefits for policy, economy, and society.

 

Dr. Mohamadreza najarzadegan | Wastewater Treatment | Best Researcher Award

Mohamadreza najarzadegan | Wastewater Treatment | Best Researcher Award

Mohamadreza najarzadegan, Isfahan University, Iran

Mohamadreza Najarzadegan is a talented environmental engineer with a focus on water and wastewater systems. He earned a Master’s in Environmental Engineering from Iran University of Isfahan, ranking first in his class. His research explores optimizing water distribution networks and quality monitoring through innovative algorithms. Najarzadegan has contributed to several high-impact journals and industry projects, including wastewater treatment and water network design. He is passionate about sustainable development and the future of water management. 🌍💧🔬

Professional profile :

Google Scholar

Summary of Suitability :

Mohamadreza Najarzadegan is an ideal candidate for the Best Researcher Award due to his exceptional expertise and contributions in the field of environmental engineering, specifically in water and wastewater systems.

Strengths:
  • Academic Excellence: Najarzadegan earned his Master’s in Environmental Engineering from the prestigious Iran University of Isfahan, where he ranked first in his class, showcasing his strong academic foundation and commitment to excellence.

  • Research Contributions: His research focuses on optimizing water distribution networks and quality monitoring using innovative algorithms, a crucial area in ensuring sustainable and efficient water management systems. His work is published in high-impact journals, underscoring the relevance and quality of his research.

  • Practical Impact: Najarzadegan has been involved in significant industry projects, particularly in wastewater treatment and water network design, translating his research into real-world applications that contribute to environmental sustainability.

Area of Interest:

Najarzadegan’s primary focus areas are:

  • Water and wastewater system optimization

  • Quality monitoring algorithms

  • Sustainable development in water management

Education & Experience : 

  • Master of Science in Environmental Engineering, Iran University of Isfahan (March 2019 – August 2022)
    Thesis: Hydraulic analysis of water supply networks 🏫📚
    GPA: 3.88/4
    Rank: 1/8

  • Bachelor of Science in Civil Engineering, University of Isfahan (Sept 2015 – Sept 2019)
    GPA: 3.34/4
    Rank: 6/45 🎓

  • Work Experience:

    • Researcher, R&D Department (Sept 2022 – present) 🧑‍🔬

    • Process Expert, Abozaidabad wastewater treatment plant 🏭

    • Teaching Assistant for WaterGems, SewerGems software at University of Isfahan 💻

    • Site Selection for Harat town Wastewater Treatment 🚰

Professional Development :

Mohamadreza Najarzadegan continuously enhances his skills in water engineering through academic and industry collaborations. He has completed internships in concrete and steel construction projects, contributing to civil infrastructure developments. His work on optimizing water distribution and wastewater systems has led to multiple publications in top journals. Furthermore, his teaching experience and leadership in various industry projects, including wastewater treatment plants and industrial water systems, highlight his growing expertise in environmental engineering. 🏗️💡📈

Research Focus :

Najarzadegan’s research revolves around the optimization and design of water and wastewater systems. He uses advanced algorithms, such as Artificial Bee Colony and Dragonfly, to improve the efficiency of water distribution networks. His work also focuses on quality monitoring, sensor placement, and the environmental impact of water management systems. Najarzadegan is dedicated to developing sustainable and efficient solutions for water and wastewater management, contributing significantly to advancements in environmental engineering. 🌱💧🔍

Awards & Honors :

  • Ranked 1st GPA among the graduating class at University of Isfahan (2022) 🏅

  • Elected as brilliant talent student for postgraduate admission without entrance exam (2019) 🎓

  • National Top Thesis in Water and Wastewater Association (2022) 🌟

  • Invention of “Black Soldier Fly Hive” (2024) 🐛

  • Top Thesis in the Water and Wastewater Association 2023 and 2024 🏆

  • Ranked 6th GPA in Civil Engineering at University of Isfahan (2019) 🎖️

Publication Top Notes :

1. Title: Optimal Design of Water Distribution Network Using Improved Artificial Bee Colony Algorithm
Citation:
Najarzadegan, M.R., & Moeini, R. (2023). Optimal Design of Water Distribution Network Using Improved Artificial Bee Colony Algorithm. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 3.

2. Title: Using the dragonfly algorithm to find the optimal location of quality sensor of Lee and Deininger and Second and Third networks of EPANET software to reduce the contaminated
Citation:
Najarzadegan, M.R., & Moeini, R. (2024). Using the dragonfly algorithm to find the optimal location of quality sensor of Lee and Deininger and Second and Third networks of EPANET software to reduce the contaminated. Results in Engineering, 23, 102606.

3. Title: Maximizing the coverage of quality sensors in the water distribution network (case studies: Lee and Deininger and the second and the third EPANET networks)
Citation:
Najarzadegan, M.R. (2025). Maximizing the coverage of quality sensors in the water distribution network (case studies: Lee and Deininger and the second and the third EPANET networks). Results in Engineering, 75, 104334.

4. Title: Maximizing Efficiency and Performance of Water Distribution Systems through the Implementation of Optimization Algorithms: A Comprehensive Analysis of Valve and Chlorine
Citation:
Najarzadegan, M.R., & Eskandaripour, M. (2025). Maximizing Efficiency and Performance of Water Distribution Systems through the Implementation of Optimization Algorithms: A Comprehensive Analysis of Valve and Chlorine. Heliyon.

5. Title: Reducing leakage in urban water distribution networks with a pressure management approach
Citation:
Najarzadegan, M.R., Moeini, R. (2024). Reducing leakage in urban water distribution networks with a pressure management approach. In: The 5th Iranian Congress of Water and Wastewater Science and Engineering.

Conclusion:

Given his strong academic background, impactful research, and passion for sustainable water management, Mohamadreza Najarzadegan stands out as a top contender for the Best Researcher Award. His work addresses critical challenges in water systems, with an emphasis on improving sustainability and operational efficiency, making him a valuable asset to both the academic and industry communities.

Dr. Peiwen Han | Sustainable Technology | Best Researcher Award

Dr. Peiwen Han | Sustainable Technology | Best Researcher Award

Dr. Peiwen Han, China Railway Design Corporation, China

Dr. Peiwen Han is a distinguished researcher in transportation planning and management, with a strong academic foundation and extensive professional experience. He holds a Ph.D. in Transportation Planning and Management from Beijing Jiaotong University and has conducted joint research at the University of Bologna, Italy. Currently serving as a Senior Engineer at the Transportation Planning and Research Institute of China Railway Design Corporation, Dr. Han specializes in sustainable transport systems, railway operations, and big data analysis. His work has been recognized through multiple scientific research projects and high-impact publications. With a commitment to advancing railway efficiency and urban transportation, Dr. Han continues to contribute significantly to the future of sustainable and intelligent transport systems.

🌍 Professional Profile:

Scopus

🏆 Suitability for Best Researcher Award

Dr. Peiwen Han is a highly accomplished researcher whose contributions to transportation planning, railway operations, and sustainable mobility make him an ideal candidate for the Best Researcher Award. His work integrates cutting-edge optimization models, big data analytics, and innovative scheduling techniques to enhance the efficiency of modern railway networks. Over the past five years, he has successfully led and participated in multiple high-profile research projects with significant funding, showcasing his ability to drive impactful studies. His peer-reviewed publications in SCI and EI-indexed journals demonstrate his expertise and commitment to advancing transportation science. Dr. Han’s research has practical applications in real-world railway systems, making him a deserving recipient of this prestigious recognition.

🎓 Education

Dr. Peiwen Han has built an impressive academic foundation in transportation planning and management. He earned his Bachelor’s degree in Transportation from Beijing Jiaotong University (2009-2013), followed by enrollment in a combined master-Ph.D. program at the same university. In 2020, he successfully defended his Ph.D. in Transportation Planning and Management, focusing on railway system optimization. To expand his research expertise, he participated in a joint-training program at the University of Bologna, Italy (2016-2017), where he specialized in Operations Research and Organizational Studies. His interdisciplinary education, combining engineering principles, mathematical modeling, and sustainable transport strategies, has laid a solid foundation for his innovative contributions to the field of modern transportation systems.

🏢 Work Experience 

Dr. Peiwen Han has gained extensive experience in both academic research and industry applications. From 2021 to 2024, he worked as an engineer at the Transportation Planning and Research Institute of China Railway Design Corporation, focusing on transport optimization and urban rail network integration. In November 2024, he was promoted to Senior Engineer at the same institute, further expanding his role in strategic transportation projects. His career includes leadership in multiple government-funded railway research initiatives, where he applies big data analytics, optimization models, and AI-driven scheduling methods. His contributions have directly influenced national railway policies and sustainable transport development, positioning him as a leading expert in modern transportation science.

🏅 Awards and Honors 

Dr. Peiwen Han’s exceptional research and industry contributions have been recognized through prestigious awards and honors. He received the Best Paper Award for his research on multi-objective integer programming models for high-speed railway networks. His innovative contributions to railway planning and scheduling have earned him the Outstanding Research Award in Sustainable Transportation. Additionally, he has played a key role in government-funded projects, earning accolades for his scientific and technological advancements in the field. His expertise in big data analysis for railway networks has also been acknowledged with an Excellence in Transportation Science Award. These honors reflect his dedication, impact, and leadership in transforming modern transportation systems.

🔬 Research Focus

Dr. Peiwen Han specializes in sustainable transport planning, railway system optimization, and big data-driven decision-making. His research integrates mathematical modeling, operations research, and AI-powered solutions to enhance railway efficiency and urban mobility. His work explores passenger flow analysis, high-speed railway scheduling, and transport policy optimization. He has developed multi-objective integer linear programming models to optimize railway planning while ensuring profitability and sustainability. Additionally, his research on railway station facility optimization has contributed to reducing congestion and improving infrastructure efficiency. By leveraging big data analytics and machine learning, he aims to create resilient, efficient, and environmentally sustainable transport networks, shaping the future of global railway systems.

📊 Publication Top Notes:

  • The integration of optimizing train timetables with EMU route plans

 

 

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian | Renewable Energy | Best Researcher Award

Prof. Tian Tian, Yangzhou University, China

Dr. Teng Huang is a distinguished researcher at Guangzhou University, China, specializing in Blockchain, Smart Contracts, and AI-driven Medical Image Segmentation. His work integrates Comprehensive Transformer Integration Networks (CTIN) to enhance medical diagnostics. With numerous high-impact publications in IEEE and other top journals, Dr. Teng Huang has contributed significantly to breast lesion detection, brain tumor segmentation, and privacy-preserving AI. His expertise extends to remote sensing, recommendation systems, and adversarial learning. Dr. Teng Huang’s innovative research bridges healthcare, AI, and blockchain, establishing him as a leader in computational intelligence and medical AI applications.

🌍 Professional Profile:

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Teng Huang’s groundbreaking contributions in medical imaging, blockchain security, and AI-driven diagnostics make him a strong candidate for the Best Researcher Award. His work on transformer-based segmentation models, privacy-preserving AI, and federated learning has significantly advanced both healthcare and secure computing. With publications in prestigious journals like IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics, Dr. Teng Huang has demonstrated exceptional research impact. His multi-disciplinary expertise, innovative problem-solving, and commitment to scientific excellence set him apart as a leader in AI-driven healthcare solutions and blockchain applications.

📚 Education

Dr. Teng Huang holds a Ph.D. in Computer Science, specializing in Artificial Intelligence, Blockchain, and Medical Image Processing. His academic journey includes extensive research on deep learning architectures for healthcare and secure computing. His doctoral studies focused on optimizing transformer-based AI models for medical applications, particularly in breast cancer detection and brain tumor segmentation. He has also worked on privacy-preserving federated learning for secure data sharing in healthcare. Dr. Teng Huang’s educational background has equipped him with expertise in machine learning, optimization, and blockchain security, paving the way for his innovative contributions to AI-driven healthcare solutions.

👨‍🏫 Experience 

Dr. Teng Huang is a faculty member and researcher at Guangzhou University, China, where he leads projects on blockchain security, AI-driven diagnostics, and remote sensing applications. He has collaborated with international experts in biomedical image processing, adversarial AI, and recommendation systems. His work in privacy-preserving federated learning has been instrumental in enhancing data security in medical AI applications. With experience in designing intelligent models for 3D medical segmentation, ultrasound imaging, and smart contracts, Dr. Teng Huang continues to push the boundaries of AI research and secure computing, making significant contributions to both academia and industry.

🏅 Awards & Honors 

Dr. Teng Huang has received multiple Best Paper Awards at IEEE international conferences for his pioneering work in AI-driven medical imaging and blockchain security. He has been recognized as a Top Researcher in AI for Healthcare by leading institutions. His contributions to transformer-based medical diagnostics and federated learning security have earned him prestigious grants and funding. He is also a recipient of the Outstanding Young Researcher Award for his work in privacy-preserving AI and adversarial learning techniques. His innovative AI-driven solutions for medical imaging and remote sensing have positioned him as a global leader in computational healthcare research.

🔬 Research Focus 

Dr. Teng Huang specializes in Blockchain, Smart Contracts, Medical Image Processing, and AI-driven Healthcare Innovations. His research involves Comprehensive Transformer Integration Networks (CTIN) for advanced medical image segmentation in breast lesion and brain tumor detection. He is also working on privacy-preserving federated learning for secure medical data exchange. His expertise extends to adversarial learning, recommender systems, and remote sensing AI applications. By integrating deep learning, blockchain security, and smart contracts, Dr. Teng Huang is revolutionizing secure AI-driven diagnostics. His work significantly impacts healthcare, cybersecurity, and AI-based automation for next-generation medical solutions.

📊 Publication Top Notes:

  1. Emission and Absorption Spectroscopic Techniques for Characterizing Perovskite Solar Cells

    • Year: 2024

  2. Advancing Perspectives on Large-Area Perovskite Luminescent Films

    • Year: 2024

  3. Reducing Lead Toxicity of Perovskite Solar Cells with a Built-in Supramolecular Complex

    • Year: 2023

  1. Unlocking Multi-Photon Excited Luminescence in Pyrazolate Trinuclear Gold Clusters for Dynamic Cell Imaging

    • Year: 2024

  2. Durable Organic Nonlinear Optical Membranes for Thermotolerant Lightings and In Vivo Bioimaging

    • Year: 2023

 

 

Dr. Victor Felix | Sustainable Technology | Best Researcher Award

Dr. Victor Felix | Sustainable Technology | Best Researcher Award

Dr. Victor Felix, Fundação Oswaldo Cruz, Brazil

Dr. Victor Junior Lima Felix is a dedicated soil scientist specializing in sustainable agriculture and environmental recovery. He earned his Ph.D. in Soil Science from the Universidade Federal da Paraíba (UFPB) in 2021, focusing on the reclamation of degraded soils using treated wastewater in agroforestry systems. With a strong background in agroecology, soil genesis, classification, and ecological soil management, he has contributed significantly to soil conservation and sustainable land use. Dr. Felix is currently conducting postdoctoral research in ecology at Instituto Serrapilheira/Faperj/Fiocruz, reinforcing his commitment to ecological restoration and environmental sustainability.

Professional Profile 🌍 

Orcid

Suitability for Best Researcher Award 🏅

Dr. Victor Felix is highly suitable for the Best Researcher Award due to his impactful contributions to soil science, agroecology, and sustainable land management. His research addresses critical global challenges, including soil degradation, water reuse, and environmental conservation. As a researcher at UFPB and a postdoctoral scholar, his work bridges scientific innovation and practical application. His involvement in national research networks, collaboration with institutions like FUNAI, and leadership in soil science organizations further emphasize his expertise and dedication to advancing sustainable agricultural practices. His research has the potential to revolutionize agroforestry and soil restoration in semi-arid regions.

Education 🎓

Dr. Victor Felix holds a Ph.D. in Soil Science (2021) and a Master’s degree in Soil Science (2016) from UFPB, where he specialized in soil degradation recovery using wastewater in agroforestry systems. His undergraduate studies were in Agroecology at the Instituto Federal de Educação Ciência e Tecnologia da Paraíba (2013), equipping him with a strong foundation in sustainable agriculture. He has further enhanced his knowledge through specialized training, including courses on soil morphology, edaphoclimatic suitability, and mineralogical analysis. His academic journey reflects a commitment to interdisciplinary learning, integrating environmental sustainability with practical soil management strategies.

Experience 🔬

Dr. Felix has extensive research experience in soil science and agroecology. From 2016 to 2021, he was a doctoral researcher at UFPB, focusing on soil rehabilitation in semi-arid regions. He has collaborated with the Fundação Nacional do Índio (FUNAI) on sustainable land-use projects. Additionally, he was a research fellow at the Núcleo de Estudos em Agroecologia, where he worked on soil classification, morphology, and environmental sustainability. Currently, as a postdoctoral researcher at Instituto Serrapilheira/Faperj/Fiocruz, he is advancing ecological studies. His experience bridges academic research and real-world applications, contributing to soil restoration and sustainable agricultural systems.

Awards and Honors 🏆

Dr. Victor Felix has received prestigious scholarships and research grants, including funding from CAPES for his master’s and doctoral studies. His work on soil recovery and environmental sustainability has been recognized by the Sociedade Brasileira de Ciência do Solo, where he served as a member in the “Soil, Environment, and Society” division. His research contributions have been acknowledged in national conferences and workshops, earning him invitations to present on soil sustainability. Additionally, his projects have been supported by organizations such as Instituto Serrapilheira and Faperj, highlighting his excellence in environmental research and scientific impact.

Research Focus 🌱

Dr. Felix’s research centers on sustainable agriculture, soil restoration, and environmental conservation. His work explores soil degradation recovery through wastewater reuse, agroforestry systems, and sustainable land management. He has specialized in ethno-pedology, soil genesis, classification, and mineralogical analysis of semi-arid soils. His studies contribute to sustainable agricultural practices that enhance soil fertility while mitigating environmental degradation. Currently, his postdoctoral research at Instituto Serrapilheira/Faperj/Fiocruz investigates ecological approaches to soil management, emphasizing biodiversity conservation and climate resilience. His work is vital in promoting sustainable land-use strategies for vulnerable ecosystems.

Publication Top Notes 📖

  1. Treated Wastewater Affects the Fertility and Geochemistry of Degraded Soil in the Brazilian Semi-Arid Region

  2. Growth and Energy Characteristics of Arboreal Wood Irrigated with Treated Effluent in Degraded Soil of Semi-Arid Regions

  3. Effect of the Incorporation of Spent Mushroom Substrate and Remineralizer on the Chemical Attributes of an Acrisol

  1. Atributos físicos de uma topossequência de Luvissolos Crômicos (TC) no Semiárido paraibano

  2. Pesquisas agrárias e ambientais: Volume XI

 

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Mr. Devesh Chand | Renewable Energy | Best Researcher Award

Mr. Devesh Chand, Fiji National University, Fiji

Mr. Devesh Chand is a dedicated educator and researcher in the fields of Mathematics, Physics, and Renewable Energy. He currently serves as a secondary school teacher under the Ministry of Education, Fiji, teaching Mathematics and Physics at Xavier College, Ba. With a strong academic foundation from Fiji National University, his expertise lies in problem-solving, analytical thinking, and scientific exploration. Throughout his academic journey, he has demonstrated exceptional skills in Mathematics, earning multiple awards for academic excellence. His research focuses on renewable energy solutions, aiming to develop sustainable and innovative energy technologies. Beyond academics, Mr. Chand has shown leadership through environmental initiatives and extracurricular activities. His commitment to teaching, research, and community development makes him a well-rounded professional, striving for excellence in both education and applied sciences.

Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Devesh Chand is a promising researcher in Renewable Energy, combining his strong academic background with innovative thinking to address modern energy challenges. His exceptional performance in Mathematics and Physics, coupled with his passion for scientific discovery, makes him a suitable candidate for the Best Researcher Award. His contributions to academia as an educator have inspired students while his research in sustainable energy solutions has the potential to drive impactful change. Mr. Chand’s dedication to excellence is evident through his numerous academic achievements, awards, and involvement in environmental initiatives. His ability to integrate theoretical knowledge with practical applications sets him apart as a researcher who can contribute meaningfully to the field of renewable energy. With a strong foundation in research methodology, critical thinking, and scientific inquiry, he exemplifies the qualities of an outstanding researcher, making him a deserving nominee for this prestigious recognition.

🎓 Education 

Mr. Devesh Chand holds a Bachelor of Education in Secondary Teaching (Mathematics & Physics) from Fiji National University, College of Humanities and Education. His academic journey started at Arya Kanya Pathshala, Yalalevu, Ba, where he completed his primary education from 2008 to 2016. He later pursued his secondary education at Kamil Muslim College, Yalalevu, Ba, from 2017 to 2022, excelling in Mathematics and Technical Drawing. His outstanding academic performance earned him multiple excellence awards, showcasing his strong analytical and problem-solving abilities. Currently, he is advancing his expertise in renewable energy through independent research. His academic background has equipped him with a strong understanding of complex mathematical and physical concepts, which he applies in both his teaching and research endeavors. Mr. Chand’s continuous pursuit of knowledge and passion for STEM education contribute significantly to his professional growth and research contributions in renewable energy.

💼 Experience

Mr. Devesh Chand is currently a Secondary School Teacher at Xavier College, Ba, under the Ministry of Education, Fiji, where he teaches Mathematics and Physics. His expertise in analytical problem-solving and scientific methodology allows him to effectively engage students in STEM subjects. He is committed to fostering critical thinking and innovation in the classroom, preparing students for higher education and research. In addition to his teaching role, he has been actively involved in educational research and curriculum development. His previous experience at Fiji National University, Suva, has further strengthened his foundation in academic instruction and research methodologies. With a keen interest in renewable energy, he integrates real-world applications into his teaching, inspiring students to explore sustainable solutions. Mr. Chand’s dedication to education, research, and environmental awareness positions him as an impactful educator and a rising researcher in the field of energy sustainability.

🏅 Awards and Honors

Mr. Devesh Chand has received several prestigious awards in recognition of his academic excellence and leadership. His achievements include:

  • Best Student in Mathematics (2021) at Kamil Muslim College 🏆
  • Academic Excellence Award for 100% in Mathematics (FY13CE 2021) 🥇
  • Academic Excellence Award for 98% in Mathematics (FY12CE 2020) 📊
  • Academic Excellence Award for 97% in Technical Drawing (FY12CE 2020) 🏗️
  • Best Environmental Officer Award (2019) at Kamil Muslim College 🌍
  • Bronze Standard Award in the Duke of Edinburgh’s International Award 🏅

These accolades reflect his dedication to academic achievement, problem-solving, and environmental consciousness. His exceptional performance in STEM fields, coupled with his leadership skills, establishes him as a distinguished scholar and educator. Mr. Chand’s commitment to excellence continues to drive his research endeavors, making him a deserving candidate for recognition in research and academia.

🔬 Research Focus 

Mr. Devesh Chand’s research is centered on Renewable Energy, with a particular focus on sustainable and efficient energy solutions. His work aims to develop innovative approaches to harness renewable energy sources, including solar, wind, and hydroelectric power, to address global energy challenges. His research explores energy optimization techniques, investigating how emerging technologies can enhance energy efficiency while reducing environmental impact. Through his strong background in Physics and Mathematics, Mr. Chand applies analytical models to study energy conversion, storage, and distribution systems. His interest in clean energy solutions aligns with the global push for sustainability, and he is dedicated to contributing knowledge that will support energy security in the future. By integrating theoretical research with practical applications, he aspires to develop cutting-edge solutions that improve the accessibility and reliability of renewable energy. His research has significant potential to impact sustainable development and environmental conservation.

Publication Top Notes:

Title: Beyond Energy Access: How Renewable Energy Fosters Resilience in Island Communities
  • Publication Date: January 27, 2025

 

Dr. Marcos José Alves-Pinto Junior | sustainability | Best Researcher Award

Dr. Marcos José Alves-Pinto Junior | sustainability | Best Researcher Award

Dr. Marcos José Alves-Pinto Junior | State University of Campinas – UNICAMP | Brazil

Dr. Marcos José Alves Pinto Junior is a dedicated academic and researcher in the field of sustainability, focusing on the intersection of ecological footprint, happiness, and academic performance. He is currently a Postdoctoral Fellow at Universidade Estadual de Campinas (UNICAMP), Brazil. With extensive experience as an educator and researcher, his contributions span various sustainability-related projects, particularly in higher education. Dr. Alves Pinto has published multiple papers on sustainability, happiness, and academic performance and serves as an Editorial Board Member for the International Journal of Sustainability in Higher Education 📚🌍🎓.

Professional Profile:

ORCID

Suitability for Best Researcher Award:

Dr. Alves Pinto has focused his research on the crucial intersection between ecological footprint, happiness, and academic performance. This area of study is not only timely but also extremely relevant given the growing emphasis on environmental sustainability and well-being in contemporary education. His ability to link these diverse domains demonstrates his interdisciplinary approach, which is a hallmark of impactful research.

Education

  • 2023 – Present: Postdoctoral Fellow, UNICAMP, Brazil 🎓
  • 2017 – 2021: Doctorate in Production Engineering, Universidade Paulista (UNIP), Brazil 🎓
  • 2014 – 2016: Master’s in Production Engineering, Universidade Federal de São Carlos (UFSCAR), Brazil 🎓
  • 2015 – 2016: Specialization in Higher Education Teaching, Faculdade da Aldeia de Carapicuíba (FALC), Brazil 🧑‍🏫
  • 2013 – 2015: Bachelor’s in Pedagogy, Faculdade da Aldeia de Carapicuíba (FALC), Brazil 📖
  • 2010 – 2012: Specialization in Production Engineering, Centro Universitário Internacional (UNINTER), Brazil ⚙️
  • 2012: Bachelor’s in Business Administration, Faculdade de Tecnologia Arthur de Azevedo de Mogi Mirim (FATEC), Brazil 💼
  • 2005 – 2008: Bachelor’s in Business Administration, Fundação de Ensino Octávio Bastos (UNIFEOB), Brazil 📊

Professional Development

Dr. Alves Pinto’s professional growth has been marked by both academic and industry contributions. He currently serves as a professor at Centro Estadual de Educação Tecnológica Paula Souza (CEETEPS), where he has been teaching since 2011. His international exposure includes research activities at Beijing Normal University (BNU) in China. He has actively collaborated on sustainability research, focusing on student well-being and the integration of ecological practices in higher education 🌍📘. Dr. Alves Pinto’s work continues to bridge the gap between academia and sustainability, especially through his postdoctoral research and editorial contributions 📑🌱.

Research Focus

Dr. Marcos José Alves Pinto Junior’s research focuses on the sustainable aspects of higher education, particularly the relationship between ecological footprint, happiness, and academic performance among university students. He investigates how sustainability practices affect students’ well-being and academic success. His work also extends to quantitative models for assessing student sustainability, with particular interest in comparative studies of Brazilian and international students 🌱📚. Through his research, he aims to enhance sustainable practices within educational institutions, supporting environmental consciousness and personal happiness among students 🌍💡.

Awards and Honors

  • Editorial Board Member, International Journal of Sustainability in Higher Education (2024 – Present) 📜
  • Recognition for research on student sustainability and happiness in higher education 🎓
  • Multiple publications in high-impact journals on sustainability and environmental studies 🏆📑
  • Academic cooperation at Beijing Normal University (2016) for doctoral research 🏫🌏

Publication Top notes:

  • “A quantitative assessment model for students’ sustainability: evidence from a Peruvian university” – Cited by: 2️⃣5️⃣
  • “Individual-level characteristics of environmental sustainability among students in a higher education institution: the role of happiness and academic performance” – Cited by: 1️⃣5️⃣
  • “Adoption of design for environment practices in the electronics industry: A case study” – Cited by: 1️⃣0️⃣
  • “Calibration of a questionnaire for evaluation of happiness” – Cited by: 8️⃣

 

 

Prof. Dipti Ranjan Sahu | Hydrogen Energy | Best Researcher Award

Prof. Dipti Ranjan Sahu | Hydrogen Energy | Best Researcher Award

Prof. Dipti Ranjan Sahu, Namibia University of Science and Technology, Namibia

Prof. Dipti Ranjan Sahu is a distinguished physicist and material scientist specializing in condensed matter physics, nanotechnology, and multifunctional materials such as ceramics, spintronic, optical, and energy materials. With over a decade of teaching experience and an extensive research portfolio, including 121 publications and an h-index of 30, he has garnered over 3,300 citations for his groundbreaking work. Currently a Professor at Namibia University of Science and Technology, Prof. Sahu continues to advance research in materials science, leading international collaborations and mentoring the next generation of scientists.

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Suitability for the Best Researcher Award:

Prof. Dipti Ranjan Sahu is well-positioned for the Best Researcher Award due to his extensive contributions to condensed matter physics, multifunctional materials, and nanotechnology. His impressive research output, leadership in high-impact projects, international collaborations, and dedication to teaching excellence highlight his suitability for this honor. His work has made a substantial impact in both academia and the broader scientific community, influencing advancements in energy materials, electronics, and nanotechnology.

Expertise & Research Focus:

Prof. Dipti Ranjan Sahu is an experienced physicist and material scientist with a strong background in condensed matter physics, materials science, and nanotechnology. His research specializes in multifunctional materials like ceramics, electronic, spintronic, optical, and energy materials. He is well-versed in materials synthesis, thin film deposition, and nanomaterials characterization.

Teaching & Leadership:

Prof. Sahu is a dedicated educator with over a decade of teaching experience in physics and material science at undergraduate and graduate levels. He has taught a wide array of subjects such as solid state physics, quantum physics, electricity and magnetism, and nanotechnology.

Research Achievements:

With an h-index of 30 and over 3,300 citations, Prof. Sahu has authored 121 publications, including books, book chapters, and conference proceedings. His work in multifunctional materials and nanotechnology has earned him international recognition and multiple research project grants.

Current Role:

Prof. Sahu is a Professor at Namibia University of Science and Technology, where he continues to lead research in condensed matter physics and multifunctional materials, fostering international collaborations and mentoring future scientists.

Publication Top Notes:

  • “ZnO/Ag/ZnO multilayer films for the application of a very low resistance transparent electrode”
    • Published: 2006
    • Citations: 357
  • “Micro-Raman and XPS studies of pure ZnO ceramics”
    • Published: 2010
    • Citations: 288
  • “High quality transparent conductive ZnO/Ag/ZnO multilayer films deposited at room temperature”
    • Published: 2006
    • Citations: 188
  • “Investigation of conductive and transparent Al-doped ZnO/Ag/Al-doped ZnO multilayer coatings by electron beam evaporation”
    • Published: 2008
    • Citations: 164
  • “Effect of holmium substitution for the improvement of multiferroic properties of BiFeO3”
    • Published: 2010
    • Citations: 127

 

 

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Assist. Prof. Dr. Nikos Loukeris | Philosophy | Best Researcher Award

Assist. Prof. Dr. Nikos Loukeris, University of West Attica & Princeton University, Greece

Nikolaos Loukeris is an accomplished academic and business leader, currently serving as an Assistant Professor of Finance & Shipping at the University of West Attica. Elected in October 2020, he has made significant contributions to academia as a Supervisor of Internships at Princeton University and as a Visiting Professor at the Hellenic Open University. Loukeris is also the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers.’ He is a renowned speaker at international conferences, focusing on governance, shipping, and finance. His expertise encompasses the intersection of technology and finance, particularly in shipping operations. Nikolaos’s commitment to education and mentorship is reflected in his initiatives that connect students with industry executives, fostering practical insights into the business world. His dedication to advancing knowledge and promoting innovative practices in finance and shipping makes him a pivotal figure in the field.

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Suitability Summary for Nikolaos Loukeris for the Best Researcher Award

Nikolaos Loukeris stands out as an exemplary candidate for the Best Researcher Award due to his extensive contributions to the fields of finance and shipping, both in academia and industry. His multifaceted role as an Assistant Professor at the University of West Attica, along with his positions as a visiting professor and managing director of two consultancy firms, demonstrates his commitment to both education and practical application of his research.

🎓 Education 

Nikolaos Loukeris holds a solid educational background in finance and shipping, which forms the foundation of his extensive professional career. He earned his undergraduate degree in Business Administration, followed by a master’s degree in Maritime Studies, specializing in shipping finance. This strong academic foundation equipped him with the skills necessary to navigate the complexities of the shipping industry and finance. He further enhanced his expertise by completing a Ph.D. in Finance, focusing on innovative methodologies for financial analysis in maritime contexts. Nikolaos’s educational journey reflects his dedication to understanding the nuances of both finance and shipping, which he integrates into his teaching and consultancy practices. Additionally, he has undertaken various professional development courses, ensuring he stays updated on the latest trends and advancements in the fields of finance and shipping. His commitment to lifelong learning empowers him to provide invaluable insights to his students and clients alike.

 💼 Experience 

Nikolaos Loukeris has a diverse and impressive professional background in finance and shipping. Currently, he serves as an Assistant Professor at the University of West Attica, where he teaches courses related to finance and shipping, guiding students toward academic and professional excellence. His role as a Supervisor of Internships at Princeton University exemplifies his dedication to providing students with real-world experiences. In addition, Nikolaos is a Visiting Professor at the Hellenic Open University, where he imparts knowledge in governance and shipping. As the Founder and Managing Director of ‘Loukeris N, Business Consultants – Accountants’ and ‘Lamda Engineers,’ he combines academic knowledge with practical application, assisting businesses in navigating financial challenges. His involvement in various conferences as a speaker and panelist showcases his expertise and thought leadership in the industry. With over a decade of experience, Nikolaos continues to make significant contributions to academia and the business world.

🏅Awards and Honors 

Nikolaos Loukeris has been recognized for his outstanding contributions to the fields of finance and shipping through numerous awards and honors. He has been a keynote speaker at the 6th International Conference on Business Economics and Finance in Suzhu, China, and has presented at prestigious events such as the IEEE Plenary Conference in Bern, Switzerland. His excellence in lecturing was acknowledged by students at the Athens University of Economics and Business, who rated him 4.32 out of 5 in the Computational Finance course. Nikolaos has also received a Research Paper Award at the IABPAD International Conference in Honolulu for his work on bankruptcy prediction using advanced hybrid models. Furthermore, he has played pivotal roles as a chairman and co-organizer for several symposiums and sessions on computational intelligence and finance, showcasing his commitment to advancing knowledge and fostering collaboration in these fields.

 🌍 Research Focus 

Nikolaos Loukeris’s research focus lies at the intersection of finance, shipping, and technology, with particular attention to the application of computational intelligence in financial decision-making and risk management. His work explores innovative methodologies for portfolio optimization, bankruptcy prediction, and the integration of artificial intelligence in shipping operations. By examining the impact of emerging technologies on traditional finance, Nikolaos aims to develop models that enhance decision-making processes in dynamic markets. His research also investigates the role of governance in shipping and finance, emphasizing the importance of strategic oversight in ensuring sustainable practices. Nikolaos actively participates in international conferences, sharing his findings and collaborating with fellow researchers to promote advancements in the field. His commitment to applying theoretical knowledge to practical scenarios drives his research agenda, positioning him as a thought leader in finance and shipping sectors.

  📖 publication Top Notes

A numerical evaluation of meta-heuristic techniques in portfolio optimisation
Cited by: 49
Corporate financial evaluation and bankruptcy prediction implementing artificial intelligence methods

Cited by: 33

An empirical evaluation of CAPM’s validity in the British stock exchange

Cited by: 26

Further Higher Moments in Portfolio Selection and A Priori Detection of Bankruptcy, Under Multi‐layer Perceptron Neural Networks, Hybrid Neuro‐genetic MLPs …

Cited by: 22

Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations

Cited by: 21

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung Guzmán Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

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Recommendation for Anthony Kyung Guzmán Leguel for the Best Researcher Award

Anthony Kyung Guzmán Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

🎓  Education 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

💼  Experience 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

🏅Awards and Honors 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

📖 Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach