Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

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Prof. Dr. Anouar Ben Mabrouk | Biomathematical Engineering | Best Research Article Award

Professor, University of Tabuk, Saudi Arabia

Professor Anouar Ben Mabrouk is a distinguished mathematician, qualified as a full professor in both Pure and Applied Mathematics by the Tunisian and French Ministries of Higher Education and Scientific Research. His groundbreaking work spans wavelets, fractals, nonlinear PDEs, probability, biostatistics, financial mathematics, and applications in environmental sciences and bio-signals. Anouar’s interdisciplinary approach bridges advanced mathematical theories with practical domains such as climate studies, pollution, and signal processing. He also integrates scientific insights with spirituality by researching scientific miracles in the Qur’an and translating significant works into multiple languages. With over 100 peer-reviewed research publications, numerous books, and extensive teaching experience across bachelor to doctoral levels, Professor Ben Mabrouk is a pillar of the international mathematical community.

Professional Profile

Scopus Profile

🏆Strengths for the Award

Academic Excellence and Recognized Qualification

  • Holds the highest academic title (Full Professor) in both Pure and Applied Mathematics, recognized by two national education systems (Tunisian and French).

  • Earned HDR (Habilitation à Diriger des Recherches), showing capability to supervise PhD students and lead research programs.

Prolific Research Output

  • Authored over 100 peer-reviewed papers in reputable journals across diverse domains: wavelets, fractals, PDEs, statistics, finance, biomathematics, image/signal processing, and more.

  • Published multiple books and book chapters, indicating a sustained, multi-dimensional research profile.

Interdisciplinary Reach

  • His work connects mathematics with finance, environmental sciences, biology, and religious studies (e.g., scientific miracles in the Qur’an).

  • Expertise in Clifford Algebras, fractals, and wavelet theory applied across domains, showing advanced theoretical and computational skills.

Pedagogical Breadth and Experience

  • Has taught all levels from preparatory to PhD across various universities and disciplines, including mathematics, finance, statistics, and computer science.

  • Supervised numerous undergraduate and graduate theses, showcasing commitment to research mentorship.

International Exposure and Collaboration

  • Taught and worked in Tunisia, Saudi Arabia, France, and Algeria, highlighting global engagement.

  • Reviewer/editorial board member of multiple journals and part of international academic societies, supporting cross-border scholarly interaction.

Leadership and Institutional Contribution

  • Plays strategic roles in academic committees (accreditation, research, curriculum development), particularly at Tabuk University, which speaks to his organizational influence.

🎓 Education

Professor Ben Mabrouk’s academic journey is marked by excellence and rigor. He earned his Bachelor’s degree in Mathematics from the University of Monastir in 1995, followed by a Master’s degree in Mathematics with a focus on multifractal spectra in 1998. He completed his PhD in Mathematics in 2007 with a thesis on wavelet analysis of non-isotropic quasi self-similar functions, a field he has since revolutionized. His academic credentials were further strengthened by his Habilitation (HDR) in Mathematics from the University of Kairouan in 2015, specializing in wavelets and nonlinear PDEs, cementing his expertise in both theoretical and applied mathematics.

💼Experience

Professor Ben Mabrouk currently holds prestigious professorships at the Faculty of Sciences, University of Monastir, and the Higher Institute of Applied Mathematics and Computer Sciences, University of Kairouan. Over two decades, he has contributed as a senior academic and researcher, supervising a wide range of student projects from bachelor theses to PhD dissertations across Tunisia, Saudi Arabia, and beyond. He has played key leadership roles, including Head of the Scientific Research Committee at Tabuk University, Saudi Arabia, where he also supports program accreditation and curriculum development.

🔬 Research Focus

A prolific and interdisciplinary researcher, Professor Ben Mabrouk’s work bridges theoretical rigor with real-world application. His primary research interests include wavelets and fractals, especially their roles in modeling complex systems such as financial markets, biological structures, and environmental phenomena. He has developed novel mathematical models using fractal dimensions and thermodynamic formalism, particularly in the study of time series data, bio-signals, and pollution metrics. 📈🧬 His work in Clifford algebras and their extension to wavelet theory has enabled advanced techniques in image and signal processing. In addition, he continues to explore the deep connections between mathematical laws and spiritual insight, particularly the scientific phenomena embedded in the Qur’an and Hadith. His translations and interpretations contribute not only to academia but also to a broader understanding of the harmony between science and faith. 🌙🔍

📚 Publications Top Notes

Numerical Solution for Stochastic Mixed Nonlinear Schrödinger Equation

Source: Bulletin of the Transilvania University of Brasov Series III Mathematics and Computer Science

Year: 2025

Authors: Not specified

Summary: Focuses on numerical methods to solve stochastic nonlinear Schrödinger equations with mixed terms. Likely involves advanced PDE numerical techniques and stochastic analysis.

A Wavelet Multifractal Model for Quality of Life Index Measuring During Pandemics and Crises

Source: Expert Systems

Year: 2025

Authors: Not specified

Summary: Proposes a wavelet-based multifractal model to measure quality of life during pandemics and crises. Integrates signal processing and statistical modeling to capture complex fluctuations in QoL indices.

On an Assorted Nonlinear Schrödinger Dynamical System

Source: Arabian Journal of Mathematics

Year: 2025

Authors: Not specified

Summary: Studies dynamics of a particular nonlinear Schrödinger system, possibly introducing new results on solution behavior or stability.

Effects of Nonlinear Thermal Radiation on the Efficiency of Building Integrated Photovoltaic Systems with Nanofluid Cooling

Source: PLOS One (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Investigates how nonlinear thermal radiation impacts photovoltaic efficiency when nanofluids are used for cooling. Combines thermal physics, renewable energy, and nanotechnology.

Structural Analysis and Adsorption Studies of (PbO, MgO) Metal Oxide Nanocomposites for Efficient Methylene Blue Dye Removal from Water

Source: Materials (Open Access)

Year: 2024

Authors: Multiple (names not listed)

Summary: Examines structural properties and adsorption capabilities of PbO and MgO nanocomposites targeting dye removal from wastewater, with environmental and materials science focus.

🏁 Conclusion

Professor Anouar Ben Mabrouk exemplifies what it means to be a scholar, teacher, and thought leader in today’s mathematical landscape. His wide-ranging contributions—from foundational theory to practical applications—demonstrate a deep commitment to advancing knowledge and empowering others through education and mentorship. His interdisciplinary and international reach, paired with a unique blend of scientific inquiry and spiritual reflection, mark him as a truly exceptional figure in contemporary academia. 🌟🎓 Whether in the classroom, research lab, or editorial office, Professor Ben Mabrouk continues to inspire students, peers, and future generations of scholars worldwide.

Charu Joshi | Ecology | Best Researcher Award

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Ms. Charu Joshi | Ecology | Best Researcher Award

Research Scholar, Kumaun University, India

Ms. Charu Joshi is a dedicated young ecologist currently pursuing her Ph.D. in Botany at Kumaun University, Nainital, India. With a strong academic background from the University of Delhi, she has demonstrated deep commitment to ecological research—particularly focusing on the invasion dynamics of Lantana camara in the Kumaun Himalayan forests. Her work spans floristic diversity assessments, allelopathic impacts, and biomass applications of invasive species. She has published five peer-reviewed papers and presented her work at national and international platforms, winning the first position for an oral presentation in 2024. Ms. Joshi’s passion lies in understanding how invasive species alter native ecosystems and developing strategies for their sustainable management. Her early contributions reflect not just academic rigor but also applied ecological insight. She stands out as a promising researcher shaping the future of biodiversity conservation and forest ecology in India.

Professional Profile

🎓 Education

Ms. Charu Joshi began her academic journey with a Bachelor of Science (B.Sc.) in Botany from the University of Delhi in 2019, where she laid the foundation for her interest in plant science. She pursued her Master of Science (M.Sc.) in Botany from the same university and graduated in 2021 with a strong academic record and research inclination. Currently, she is a Ph.D. research scholar at the Department of Botany, DSB Campus, Kumaun University, Nainital. Her doctoral research investigates the ecological impacts and functional dynamics of Lantana camara shrublands in the Kumaun Himalaya. Her education has been marked by a consistent focus on ecological systems, invasive plant management, and biodiversity conservation. With her progression from undergraduate to doctoral levels, Ms. Joshi has developed a firm grasp of theoretical and practical aspects of environmental botany, preparing her for impactful ecological research.

💼 Experience

Ms. Charu Joshi has gathered hands-on research experience in plant invasion ecology and agro-ecological studies. Between June and December 2022, she conducted a project evaluating the effects of aqueous extracts (soaked and crushed) of Lantana camara stem on the germination and early growth of rice variety Chandan-21. This work introduced her to plant allelopathy and its implications for agricultural productivity. Currently, she is working on a doctoral project titled “Structural and functional attributes of Lantana camara shrublands in different forests of Kumaun Himalaya”, focusing on the ecological consequences of invasive species on forest biodiversity and ecosystem functions. Her work involves extensive field studies, lab-based analysis, and collaborative research with senior scientists. Through active involvement in experiments, data analysis, and manuscript writing, Ms. Joshi has developed a solid foundation in ecological methodology, contributing both to scientific knowledge and environmental management strategies.

🏅 Awards and Honors

In recognition of her scientific excellence and presentation skills, Ms. Charu Joshi was awarded First Position in the oral presentation category at the International Conference on Mountain Ecosystem Processes and Sustainable Livelihood – 2024, held from 5–7 March 2024. Organized by the Himachal Pradesh Regional Centre, GBPIHED, Kullu, the conference showcased cutting-edge ecological research across the Himalayan region. Ms. Joshi’s work on the floristic impact of Lantana camara invasion in forest ecosystems stood out for its scientific depth and practical relevance. This award highlights her capability to communicate complex ecological dynamics effectively to both experts and broader audiences. Additionally, her involvement in five published papers and five conference abstracts has earned her respect within the academic community as a promising early-career researcher. Such accolades reflect her continued commitment to research excellence and her emerging leadership in Himalayan ecology and environmental botany.

🔬 Research Focus

Ms. Charu Joshi’s research primarily revolves around invasion ecology, with a focus on the impact of Lantana camara, an aggressive alien species, on native forest ecosystems of the Kumaun Himalaya. Her studies assess the floristic changes, species diversity loss, and alteration in plant community structure due to invasive species. She also investigates the allelopathic effects of Lantana extracts on agricultural crops such as rice and wheat, providing insights into plant–plant interactions. Another dimension of her research explores the potential use of invasive plants as biomass for biochar production, linking ecological challenges to sustainable solutions. Her interdisciplinary approach combines field ecology, experimental plant biology, and agro-environmental applications. The research contributes significantly to forest management, biodiversity conservation, and the development of eco-restorative strategies. Through her scholarly work, Ms. Joshi aims to bridge the gap between ecological research and practical conservation measures in Himalayan landscapes.

📄 Publication Top Notes

  1. Floristic composition and diversity in Lantana camara L. invaded forest zones of Kumaun Himalaya, India
    Authors: Joshi, C., Joshi, V., Bargali, K., Fartyal, A., & Bargali, S. S. (2025)
    Journal: Vegetos, 1–16
    Summary: This paper analyzes species richness and vegetation composition in areas invaded by Lantana camara. It concludes that the invasive species significantly reduces native species diversity and alters the structural balance of forest ecosystems.

  2. Effects of aqueous leachates from above ground parts of Lantana camara on seed germination, growth and yield of wheat crop
    Authors: Joshi, V., Joshi, C., Bargali, S. S., & Bargali, K. (2024)
    Journal: Ecological Frontiers, 44(6), 1241–1250
    Summary: The study evaluates how leachates from Lantana suppress wheat growth, highlighting the toxic allelopathic effects and recommending agricultural safeguards in invaded zones.
    Citations: 4 (2024)

  3. Comparative impacts of soaked and crushed aqueous extracts of Lantana camara leaf and stem on germination and early seedling length of Oryza sativa
    Authors: Joshi, V., Joshi, C., Fartyal, A., Bargali, K., & Bargali, S. S. (2024)
    Journal: Current Agriculture Research Journal, 12, 1345–1360
    Summary: This experimental paper examines how different preparations of Lantana extracts affect rice seedlings, offering new insights into crop-weed dynamics and control.

  4. Assessing the Potential of Three Invasive Alien Plants as Possible Feedstock for the Production of Biochar and Crop Productivity
    Authors: Fartyal, A., Bhambra, G. K., Joshi, V., Joshi, C., Bargali, K., & Bargali, S. S. (2025)
    Journal: Journal of Soil Science and Plant Nutrition, 1–17
    Summary: The study assesses the use of Lantana camara, Parthenium hysterophorus, and Ageratina adenophora for biochar production, linking ecological control with resource utilization.

  5. Altered composition and structure of plant communities in response to Lantana camara invasion in forest ecosystems of Kumaun Himalaya, India
    Authors: Joshi, C., Joshi, V., Fartyal, A., Bargali, K., & Bargali, S. S. (2025)
    Journal: Trees, Forests and People
    DOI: https://doi.org/10.1016/j.tfp.2025.100947
    Summary: This study shows how Lantana disrupts community dynamics in forest plots and recommends ecological restoration practices based on the level of invasion.

Conclusion

Ms. Charu Joshi demonstrates outstanding potential and performance as a young environmental researcher. Her focused and impactful contributions to understanding Lantana camara invasion ecology, emerging citation metrics, and academic recognition make her a strong and deserving candidate for the Best Researcher Award. With continued publication momentum and broader engagement (international or interdisciplinary), she is poised to make long-term contributions to ecological science.

Liping Hao | Greenhouse Gas Emission | Best Researcher Award

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Dr. Liping Hao | Greenhouse Gas Emission | Best Researcher Award

Associate Professor, Tianjin University, China

Dr. Liping Hao is an Associate Professor at the Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, China. A pioneering researcher in environmental microbiology and greenhouse gas emission, Dr. Hao’s work bridges the gap between microbial ecology and sustainable environmental technologies. Her interdisciplinary approach integrates bioinformatics, anaerobic digestion, and climate science to mitigate greenhouse gas emissions and enhance resource recovery.

👩‍🔬Professional Profile

Scopus Profile

🏆 Strengths for the Award

Focused and Timely Research Area:

Dr. Hao’s research on greenhouse gas production and emission, especially methane, is highly relevant in the context of global climate change. The work contributes to the understanding and mitigation of climate impacts—a top priority in environmental science.

Interdisciplinary Expertise:

The integration of environmental microbiology, anaerobic digestion, and bioinformatics indicates a strong interdisciplinary approach. This is valuable for innovative solutions in environmental management and sustainable technology.

Practical Applications:

Her work supports both scientific advancement and real-world application, such as improving resource utilization and emission reduction technologies. This dual impact is essential for awards recognizing impactful research.

Institutional Affiliation:

Being associated with the Institute of Surface-Earth System Science at Tianjin University, a respected institution in China, supports the credibility and infrastructure behind her work.

Contribution to Biogeochemical Cycles:

By focusing on element cycling through microbial interactions, Dr. Hao contributes fundamental knowledge to Earth system science, helping to bridge micro-level processes with macro-environmental outcomes.

🎓 Education

Dr. Liping Hao received her Ph.D. in Environmental Science and Engineering from a top-tier institution in China, where she developed a strong foundation in microbiology and environmental biotechnology. During her doctoral studies, she focused on microbial community dynamics in wastewater treatment systems, gaining valuable expertise in molecular biology, genomic analysis, and bioreactor technologies. Her academic journey has always been marked by a commitment to excellence and innovation.

🧪Experience

With over a decade of experience in research and academia, Dr. Hao has established herself as a leader in environmental microbiology. She is currently an Associate Professor at Tianjin University, where she teaches graduate and undergraduate courses, mentors students, and leads multiple high-impact research projects. Dr. Liping Hao career includes collaborative work with interdisciplinary teams across institutions, both in China and internationally. Her involvement in national and international projects has allowed her to contribute significantly to cutting-edge research in anaerobic digestion technology and microbial greenhouse gas production. She is also actively engaged in reviewing for peer-reviewed journals and contributes to academic and industrial conferences worldwide.

🔬 Research Focus On Greenhouse Gas Emission

Dr. Hao’s research focuses on the microbial mechanisms driving greenhouse gas production, particularly methane, in both natural and engineered ecosystems. Her investigations delve into the complex microbial communities that govern carbon and nitrogen cycling, with an emphasis on anaerobic environments such as wetlands and anaerobic digesters. Central to her work is the identification of methanogenic and methanotrophic microorganisms, the analysis of microbe–microbe interactions, and the application of advanced bioinformatics and metagenomics to uncover underlying genetic pathways. By exploring the functional potential of microbial consortia, Dr. Hao aims to develop innovative biotechnological strategies that reduce greenhouse gas emissions. Her contributions are advancing the fields of climate change mitigation, waste-to-energy conversion, and sustainable resource management.

📚 Publication Top Notes

Microbiome and its genetic potential for carbon fixation in small urban wetlands

Affiliation: Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, China

Journal: Shengwu Gongcheng Xuebao (Chinese Journal of Biotechnology)

Year: 2025

Summary: This study investigates the microbial communities in small urban wetlands and their capacity for autotrophic carbon fixation. Using high-throughput sequencing and bioinformatics tools, Dr. Hao and her team identified previously unknown microbial taxa with significant potential to act as natural carbon sinks. The findings emphasize the ecological importance of urban wetlands in mitigating greenhouse gas emissions and offer a new perspective on using microbiomes for climate-resilient urban design.

🏆 Conclusion

Dr. Liping Hao is a visionary environmental microbiologist whose research is shaping the future of greenhouse gas mitigation and microbial biotechnology. Her unwavering commitment to understanding the microbial world and translating this knowledge into real-world environmental solutions marks her as a truly deserving nominee for this award.Through her leadership, scientific rigor, and passion for sustainability, Dr. Hao continues to inspire a new generation of scientists while making profound contributions to the global fight against climate change. 🌍🔬

Xiaoyi Hou | New Energy Storage Materials | Best Researcher Award 

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Mr. Xiaoyi Hou | New energy storage materials | Best Researcher Award 

Associate professor, Qinghai Normal University, China

Xiaoyi Hou is a dedicated researcher in the field of new energy storage technologies, with a strong background in condensed matter physics. A graduate of Lanzhou University, he has cultivated a specialized research portfolio focused on lithium-ion batteries, supercapacitors, and lithium-sulfur batteries. Hou’s work integrates fundamental science with practical applications, contributing significantly to the advancement of next-generation energy storage devices. In recognition of his impactful research, he was selected in 2019 as one of the top talents in Qinghai Province under the prestigious “Thousand Talents Plan for High-end Innovative Talents.” His scholarly contributions are evident in numerous publications in high-impact journals such as the Chemical Engineering Journal, Journal of Alloys and Compounds, and Materials Letters. Hou continues to drive innovations in materials science and electrochemical energy storage systems, making him a valuable figure in the field of sustainable energy technologies.

Professional Profile

Education

Xiaoyi Hou completed his academic training in condensed matter physics at Lanzhou University, a leading institution known for its strengths in physical sciences and materials research. His education provided him with a solid foundation in the principles of quantum mechanics, materials properties, and solid-state physics. During his academic tenure, he developed a particular interest in the application of physical principles to real-world energy challenges. His coursework and research projects exposed him to advanced topics in materials science, thermodynamics, and nanotechnology, which later became central to his career in energy storage. The comprehensive and interdisciplinary nature of his education at Lanzhou University equipped him with both theoretical knowledge and practical skills in materials characterization, device fabrication, and electrochemical testing. This educational background laid the groundwork for his transition into high-impact research in new energy materials and positioned him well for selection into competitive research talent programs in China.

Experience 

Xiaoyi Hou has accumulated significant experience in both academic and applied research on energy storage technologies. After graduating from Lanzhou University, he engaged in extensive laboratory and project-based research focused on the development of novel electrode materials and device architectures for next-generation energy storage systems. His experience spans lithium-ion batteries, lithium-sulfur batteries, and supercapacitors, where he has contributed to material synthesis, performance optimization, and device integration. He has worked on interdisciplinary teams involving physicists, chemists, and engineers, facilitating a holistic approach to problem-solving in energy systems. Hou has also led and participated in several provincial and national research projects, driving innovation in energy-efficient technologies. His research outcomes have been published in leading journals and have contributed to the scientific understanding and commercial potential of energy storage materials. His work continues to bridge the gap between fundamental materials science and functional energy devices.

Research Focus 

Xiaoyi Hou’s research focuses on the design and development of advanced materials for energy storage applications, with an emphasis on high-performance lithium-ion batteries, lithium-sulfur batteries, and supercapacitors. His work aims to address critical challenges such as energy density, cycle life, safety, and cost-effectiveness. He investigates novel electrode and electrolyte materials using nanostructuring, surface modification, and hybridization strategies to improve electrochemical performance. Hou also explores the mechanisms of charge storage and degradation processes at the molecular level, combining experimental techniques with theoretical modeling. His interdisciplinary approach bridges physics, materials science, and electrochemistry, enabling the creation of innovative storage devices with enhanced functionality. By focusing on scalable and sustainable materials, his research contributes to the advancement of clean energy technologies, addressing both environmental concerns and growing energy demands. Hou’s work continues to impact both academic inquiry and practical device innovation in the global energy storage sector

Publication Top Notes

Building Rapid Electron/Ion Dual Channels in Mesoporous CoSe₂/CNTs Composites for Advanced Sodium‑Ion Storage

  • Authors: Xiaoyi Hou, Dengdeng Ai, Jianglong Kang, Qirongxing Shen, Minmin Li & Jingyu Qi

  • Journal: Electrochimica Acta 530 (May 2025)

  • Summary: This work presents a 3‑dimensional mesoporous CoSe₂–carbon‑nanotube hybrid using an MOF‑derived template. The structure provides intertwined electron and Na⁺ conduction channels, resulting in significantly improved sodium-storage metrics—higher capacity, enhanced rate performance, and longer cycling life compared to conventional CoSe₂ systems sciencedirect.com+7researchgate.net+7pubs.rsc.org+7.

Boosting Li⁺ Transport Kinetics and Structural Stability of Co‑Free LiNi₀.₉Mn₀.₁₋ₓAlₓO₂ Cathode Materials

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Journal of Electroanalytical Chemistry, 2025

  • Summary: Reported is a Co‑free layered cathode LiNi₀.₉Mn₀.₁₋ₓAlₓO₂ synthesized via organic‑amine co‑precipitation. Partial Al doping enhances lithium‑ion diffusion and stabilizes the layered structure under cycling conditions, yielding improved rate capability and structural integrity.

Improving the Electrochemical Performance of Ag‑Doped Ni‑Rich Li(Ni₀.₈₈Co₀.₀₉Al₀.₀₃)₁₋ₓO₂ Layered Cathode Material

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Applied Physics A: Materials Science & Processing, 2025

  • Summary: Silver‑doped Li(Ni₀.₈₈Co₀.₀₉Al₀.₀₃)O₂ is produced through solid‑state synthesis. It achieves a high initial discharge capacity (~223 mAh g⁻¹ at 0.2 C) and ~95% retention (~178 mAh g⁻¹) after 100 cycles. Ag doping stabilizes the structure, mitigating capacity fade.

A Tailored High‑Nickel Cobalt‑Free Na‑Doped LiNi₀.₉Mn₀.₀₆Al₀.₀₄O₂ Cathode for Superior Lithium Storage

  • Authors: (not listed; placeholder “…, …”)

  • Journal: Physical Chemistry Chemical Physics, June 25 2025

  • Summary: This Na-doped, high-Ni, Co-free cathode material fine-tunes the lattice of LiNi₀.₉Mn₀.₀₆Al₀.₀₄O₂ to enhance Li⁺ transport kinetics and structural robustness. Results show high capacity and excellent cycling stability, attributing improvements to optimized lattice spacing and diffusion pathways.

Conclusion

Xiaoyi Hou emerges as a distinguished researcher in the realm of advanced energy storage systems, combining a solid academic foundation with innovative scientific contributions. His expertise in condensed matter physics, acquired from Lanzhou University, has laid the groundwork for his impactful work on lithium-ion batteries, lithium-sulfur batteries, and supercapacitors. His selection for the Qinghai Province “Thousand Talents Plan for High-end Innovative Talents” in 2019 affirms his stature as a leading innovator in the field. Through numerous publications in prestigious journals and his active role in high-level research initiatives, Hou has demonstrated a consistent commitment to addressing the global demand for efficient and sustainable energy solutions. His integrated approach to materials design, device engineering, and performance enhancement continues to contribute meaningfully to the development of next-generation energy storage technologies. With a clear research vision and proven excellence, Xiaoyi Hou stands out as a key figure in China’s scientific and technological advancement.

 

 

Ka Ian Chan | Educational Technology | Best Researcher Award

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Ms. Ka Ian Chan | Educational Technology | Best Researcher Award

PhD Candidate, Macao Polytechnic University, Macau

Ka Ian Chan is an emerging researcher in Educational Technology and Educational Data Mining. Currently pursuing a Ph.D. in Computer Applied Technology at Macao Polytechnic University, Ka Ian is passionate about improving learning experiences through innovative technological applications. His research focuses on student performance visualization, gamification in language learning, and privacy-respecting educational systems. He has actively contributed to academic conferences such as TALE, ICETT, and ICEMT, earning recognition for his presentations. Ka Ian also engages in student leadership and international academic exchanges, which have enriched his cross-disciplinary insights. His collaborative projects reflect his dedication to enhancing education through data-driven approaches. With a strong background in big data, the Internet of Things, and computer education, Ka Ian continues to explore practical, scalable solutions to modern educational challenges. His commitment to education, research excellence, and technological innovation positions him as a rising scholar in the field.

Professional profile

🎓 Education

Ka Ian Chan has pursued his entire higher education journey at Macao Polytechnic University. Currently, he is enrolled in a Doctor of Philosophy program in Computer Applied Technology (2022–Present), where his research emphasizes educational data mining and student performance analytics. Prior to this, he completed his Master of Science in Big Data and Internet of Things (2020–2022), equipping him with advanced skills in large-scale data processing and IoT integration in education. His undergraduate degree, Bachelor of Science in Computing with a specialization in Computer Education (2016–2020), laid the foundation for his interests in educational technology and digital learning platforms. Through his diverse academic training, Ka Ian developed a multi-dimensional expertise that bridges educational systems with cutting-edge computational techniques. His educational path has consistently aligned with his research focus, demonstrating a long-standing commitment to leveraging technology to improve learning environments and outcomes.

💼 Experience

Ka Ian Chan has accumulated valuable academic and professional experience centered on education and technology. Since 2022, he has been working as a Part-time Teacher, Teaching Assistant, and Public Exam Student Helper at Macao Polytechnic University, where he supports both teaching and assessment activities. His earlier roles include serving as an IT Assistant at Colégio de Santa Rosa de Lima – Secção Chinesa (2020–2021), where he provided technical support and educational IT services. During his undergraduate studies, he completed an internship as a Computer Teacher at Macau Kung Luen Vocational & Technical Middle School (2019–2020), contributing to the delivery of computing courses. Beyond formal roles, Ka Ian has been actively involved in student organizations, including serving as a Management Member of the FCA Student Union. His experience reflects a strong blend of teaching, technical expertise, and leadership within educational settings, all closely tied to his research interests.

🏆 Awards and Honors

Ka Ian Chan has been recognized with multiple prestigious awards throughout his academic journey. In 2022, he received the Best Oral Presentation Award at the International Conference on Education and Multimedia Technology (ICEMT), acknowledging the quality and impact of his research on student learning performance. He won the Gold Award at the 24th Moscow International Salon of Inventions and Innovative Technologies «ARCHIMEDES» in 2021 for his inventive contributions. His innovative mindset was also rewarded with a Third Prize in the 6th China International College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition in 2020. Furthermore, between 2018 and 2020, he consistently secured First Prize and Practical Value Awards at the Pan-Pearl River Delta Region Universities IT Project Competition. These accolades demonstrate his ability to deliver high-quality, applicable research and showcase his leadership and excellence in educational technology innovation on both regional and international platforms.

🔍 Research Focus

Ka Ian Chan’s research is primarily focused on Educational Technology and Educational Data Mining. He investigates how data-driven approaches can enhance educational environments, with particular interest in student performance visualization, gamification in language learning, and the application of Bayesian methods to track multi-skill learning progress. His studies aim to improve parent-teacher communication through innovative tools like radar visualization and to develop privacy-respecting systems that safeguard student identities in educational settings. Ka Ian also explores how gamification strategies can motivate students, particularly in the context of language acquisition. His research bridges big data, IoT, and educational psychology, seeking practical applications that can be seamlessly integrated into schools. His interdisciplinary approach not only advances academic understanding but also offers tangible solutions for educators, learners, and policymakers. Through his work, Ka Ian is contributing to a more personalized, engaging, and efficient educational experience powered by technology and intelligent data analysis.

📚 Publication Top Notes

1.Title: Exploring the Factors and Moderators Influencing the Use of Radar Visualisation of Student Performance from Parents’ Perspective
Authors: Ka Ian Chan, Patrick Cheong-Iao Pang, Wei Wei
Conference: TALE 2023
Summary: This study examines the factors that influence how parents perceive and utilize radar visualization tools to monitor their children’s academic performance. The research highlights key moderators affecting user acceptance and offers insights for designing parent-friendly educational dashboards.

2.Title: A Literature Review on Educational Data Mining with Secondary School Data
Authors: Ka Ian Chan, Philip I.S. Lei, Patrick Cheong-Iao Pang
Conference: ICETT 2023
Summary: This review consolidates existing research on educational data mining focusing on secondary school datasets. It identifies trends, challenges, and gaps in current methodologies, offering a roadmap for future research in this niche domain.

3.Title: Tracing Students’ Learning Performance on Multiple Skills using Bayesian Methods
Authors: Ka Ian Chan, Rita Tse, Philip I.S. Lei
Conference: ICEMT 2022
Summary: This award-winning paper presents a Bayesian-based approach to track and predict student learning progress across multiple skill areas. The model provides real-time feedback, improving the adaptability of learning systems to individual student needs.

4.Title: Applying Gamification in Portuguese Learning
Authors: Ka Ian Chan, Ngai Seng Chan, Su-Kit Tang, Rita Tse
Conference: ICIET 2021
Summary: This research explores the integration of gamification techniques into Portuguese language learning, demonstrating that game-based elements significantly increase student engagement and motivation.

5.Title: ReSPEcT: Privacy Respecting Thermal Based Specific Person Recognition
Authors: Ngai Seng Chan, Ka Ian Chan, Rita Tse, Su-Kit Tang, Giovanni Pau
Conference: ICDIP 2021
Summary: This study introduces a thermal-based recognition system that preserves privacy while accurately identifying specific individuals in educational and public settings.

Conclusion

Ka Ian Chan presents a strong candidacy for a Best Researcher Award at an early-career level. His consistent research output, interdisciplinary focus, recognized presentations, and emerging citation record demonstrate high potential. While building further on journal publications, international partnerships, and research funding would elevate his profile even more, his current achievements make him a competitive nominee, particularly for awards focused on promising young researchers or contributions to educational technology.

Luke Saunders | Electrochemistry | Best Researcher Award

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Dr. Luke Saunders | Electrochemistry | Best Researcher Award

Dr., Newcastle university, United Kingdom

Luke Saunders is a dynamic researcher specializing in electrochemistry, electrical machines, and battery technology. Currently serving as a Post-Doctoral Research Associate at Newcastle University, Luke is contributing to the Future Electrical Machines and Manufacturing Hub, focusing on advancing electric motor performance and manufacturing innovation. His career reflects a blend of academic rigor and industrial relevance, with previous impactful roles at The Faraday Institution and Heraeus Quartz UK. He has worked extensively on lithium-ion battery degradation and amperometric gas sensor technologies. Luke’s research integrates experimental work with computational analysis, aiming to accelerate the adoption of next-generation technologies. He has published multiple papers in internationally recognized journals and has presented his work at prominent conferences. Beyond his research, Luke is actively involved in mentoring PhD students, supporting undergraduates, and contributing to university-level ethical committees. He is also pursuing his HEA teaching fellowship, demonstrating his commitment to excellence in both research and education.

Publication Profile

🎓 Education 

Luke Saunders completed his PhD at Newcastle University, focusing on amperometric gas sensors in collaboration with Alphasense Sensor Technologies. His doctoral research emphasized the diffusion behavior of volatile organic compounds through specially designed semi-permeable membranes, combining both laboratory experiments and computational analysis. This industry-sponsored project allowed him to present regularly to senior stakeholders, bridging the gap between academic inquiry and real-world applications. Luke’s solid academic foundation in electrochemistry, sensor technology, and materials science underpins his versatile research portfolio. While the specific undergraduate and master’s education details are not provided, his progression into multi-disciplinary postdoctoral roles and a significant industrial engineering position reflect a strong educational background in chemical or electrical engineering. His current pursuit of the HEA teaching fellowship further highlights his ongoing commitment to both educational development and research excellence, aiming to contribute comprehensively to academia as a researcher, mentor, and future educator.

💼 Experience

Luke Saunders brings a rich blend of academic and industrial experience across multiple high-impact projects. At Newcastle University (2023–2026), he contributes to electric motor innovation as part of the Future Electrical Machines and Manufacturing Hub, collaborating internationally and mentoring young researchers. Previously, at the Faraday Institution (2020–2021), he investigated lithium-ion battery degradation, mastering electrochemical techniques and complex data analysis. From 2022 to 2023, he worked as a Production Engineer at Heraeus Quartz UK, managing process improvement projects for high-grade quartz manufacturing, delivering engineering solutions, and supporting health and safety initiatives. His PhD research (2014–2020) explored amperometric gas sensors, conducted in collaboration with Alphasense Sensor Technologies. Luke has consistently demonstrated leadership, teamwork, and technical expertise, contributing to both fundamental science and industrial applications. His experience encompasses project management, cross-functional collaborations, mentoring PhD and undergraduate students, and presenting at international conferences, positioning him as a well-rounded and impactful researcher.

🔬 Research Focus

Luke Saunders’ research primarily focuses on electrochemistry, energy storage systems, and the performance of advanced electrical machines. His recent work targets the development of novel electric motor designs with enhanced efficiency, durability, and manufacturability, contributing to the global push for sustainable transportation solutions. His earlier research delved into the degradation mechanisms of lithium-ion batteries, where he utilized advanced electrochemical impedance spectroscopy and large-scale data interpretation to uncover failure patterns. Luke’s PhD work in amperometric gas sensors emphasized improving sensor selectivity and response times using tailored semi-permeable membranes. His cross-disciplinary expertise allows him to navigate between materials science, chemical engineering, and electrical engineering, enabling innovative solutions to industry-relevant problems. Through active collaborations with industrial partners and multinational research hubs, Luke aims to accelerate the translation of laboratory discoveries into practical applications. His future research interests include green manufacturing processes, next-generation energy systems, and enhancing the sustainability of electrochemical technologies.

📚 Publication Top Notes

1. Evaluating Single-Crystal and Polycrystalline NMC811 Electrodes in Lithium-Ion Cells via Non-Destructive EIS Alone

Journal: Journal of Applied Electrochemistry
Publication Date: September 2022
DOI: 10.1007/s10800-022-01713-x
Authors: Luke Saunders, Jiabin Wang, Ulrich Stimming
Summary:
This study evaluates the performance of NMC811 electrodes in lithium-ion batteries using non-destructive electrochemical impedance spectroscopy (EIS). The work compares single-crystal and polycrystalline structures to understand how microstructural differences influence battery life and degradation. The research highlights the benefits of using non-invasive diagnostic tools for assessing battery health, which can improve battery management systems and enhance operational safety.

2. Differentiating Degradation Characteristics in Lithium-Ion Cells

Journal: Journal of The Electrochemical Society
Publication Date: November 2021
DOI: 10.1149/1945-7111/ac3851
Authors: Luke Saunders, Jiabin Wang, Ulrich Stimming
Summary:
This paper investigates the distinct degradation pathways in lithium-ion cells under various operational conditions. By employing electrochemical techniques, the study differentiates the key factors contributing to capacity fade and impedance rise. The findings offer valuable insights for improving battery longevity and inform the design of more robust battery systems for future applications.

Conclusion

Luke Saunders demonstrates strong potential and is highly suitable for a Best Researcher Award at an early to mid-career level. His multidisciplinary research, industrial relevance, leadership in mentoring, and significant collaborative efforts position him as a valuable researcher with impactful contributions. To elevate his candidacy to a truly outstanding level, focusing on independent grant acquisition, completing teaching credentials, and further expanding his international research footprint would be beneficial.

 

Shantao Ping | Computer Vision | Best Researcher Award

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Mr. Shantao Ping | Computer Vision | Best Researcher Award

Associate Senior Engineer, Qiyuan Lab, China

Shantao Ping is an Associate Senior Engineer at Qiyuan Lab, specializing in computer vision, artificial intelligence, and large-scale model algorithms. With a Master’s degree in Computer Science, Shantao has a proven track record of driving innovation through cutting-edge research and development. He has contributed to over 28 research and industry projects and holds 14 national invention patents. His collaborative project with Baidu, an AI-powered medical question-answering system, significantly enhanced user engagement and earned him the prestigious Baidu Best Engineer Award. Shantao is also an active member of the Chinese Institute of Command and Control, where he continuously advances the frontiers of intelligent simulation, image processing, and natural language processing. His work focuses on solving complex engineering problems and has made substantial contributions to simulation scene construction and few-shot object recognition. Passionate about applied research, Shantao Ping is committed to shaping the future of intelligent computing through practical and scalable solutions.

Publication Profile

Education

Shantao Ping holds a Master’s degree in Computer Science from an esteemed institution, equipping him with solid expertise in artificial intelligence, computer vision, and advanced computational algorithms. He also holds the professional qualification of Associate Senior Engineer, recognized by the Ministry of Human Resources and Social Security (MOHRSS), Beijing, China. This designation reflects his deep technical proficiency and leadership in engineering research and development. Throughout his academic and professional training, Shantao focused on bridging theoretical foundations with real-world applications, emphasizing innovation in structured light calibration, simulation modeling, and machine learning-based image processing. His educational journey laid the groundwork for his current role as a highly effective engineer, capable of contributing to both research excellence and industrial breakthroughs. Shantao’s education emphasizes interdisciplinary collaboration, practical application, and a research-driven approach that aligns perfectly with his long-standing commitment to technological advancement and cutting-edge innovation in the rapidly evolving fields of AI and computer vision.

Experience

Shantao Ping is currently an Associate Senior Engineer at Qiyuan Lab, where he has spearheaded numerous high-impact projects in computer vision, AI, and simulation technologies. Over his career, he has successfully completed 28 research and consultancy projects, including a notable collaboration with Baidu to develop an AI-powered medical Q&A system that significantly improved user engagement metrics. His career highlights include leading teams in the development of large-scale model algorithms, simulation scene construction, and few-shot object recognition frameworks. Shantao’s practical experience is reinforced by 14 published or in-process patents and multiple software development achievements, including tools for multi-type algorithm execution and sonar simulation imaging. His work has consistently demonstrated high relevance to industry needs and national innovation strategies. Recognized with the Baidu Best Engineer Award, Shantao continues to push the boundaries of applied AI and intelligent systems. He is also actively involved in the Chinese Institute of Command and Control, enhancing his contributions to the field.

Research Focus

Shantao Ping’s research is primarily centered on computer vision, image processing, natural language processing (NLP), and foundation models. His work addresses critical challenges in simulation scene reconstruction, few-shot object recognition, structured light calibration, and human-computer interaction assisted by large models. He focuses on developing algorithms that integrate simulation with AI to achieve realistic scene modeling and real-time data processing. Shantao is particularly interested in the intersection of AI and simulation, leveraging intelligent algorithms to enhance perception, decision-making, and scene understanding in complex environments. His innovative research in multi-object tracking and global graph matching is paving the way for advanced applications in autonomous systems and smart interaction platforms. Through national patents and practical deployments, he has made significant strides in developing intelligent, scalable solutions that are not only theoretically sound but also practically impactful, contributing directly to the fields of healthcare, simulation technology, and large-scale data interaction.

Publication Top Notes

  1. Multi-view Multi-object Tracking Based on Global Graph Matching Structure (Conference Paper)

    • Authors: Shantao Ping, Chao Li, Hao Sheng, Jiahui Chen, Zhang Xiong

    • Summary: This work proposes a novel global graph matching framework for tracking multiple objects across multiple viewpoints, significantly improving tracking accuracy in complex scenes.

  2. A Method and Apparatus for Specific Target Reconnaissance by Unmanned Aerial Vehicle (Patent)

    • Authors: Shantao Ping, Ying He

    • Summary: Introduces a UAV-based reconnaissance system with enhanced precision for specific target detection in dynamic environments.

  3. A Method, Apparatus, and Device for 3D Scene Construction (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He

    • Summary: Details a system for efficient 3D scene modeling using intelligent algorithms, optimizing both speed and accuracy.

  4. Method for Human-Computer Interaction Assisted by Large Models (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He, Xiaoqiang Jin, Pinjie Li, Qianchuan Zhao

    • Summary: Presents a human-computer interaction framework enhanced by large foundational models for improved user experience and system adaptability.

  5. Method, Apparatus, Device, and Storage Medium for Generating Sonar Simulated Images (Patent)

    • Authors: Shantao Ping, Xulong Ma, Ying He, Jiacheng Li

    • Summary: Describes a sonar image simulation method that increases the fidelity and reliability of underwater detection simulations.

Conclusion

Shantao Ping is a highly capable, application-driven researcher with an impressive track record of industry-relevant projects, innovative patents, and impactful collaborations, particularly in AI and computer vision. The strong applied research portfolio and demonstrated ability to solve real-world problems make him a solid candidate for the Best Researcher Award. However, to fully align with the traditional benchmarks of this award (which often emphasize academic citations and international recognition), increasing the number of SCI/Scopus journal publications, improving citation metrics, and pursuing more visible academic leadership roles would be beneficial.

Tieshu Fan | Rotor Dynamics | Best Researcher Award

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Dr. Tieshu Fan | Rotor Dynamics | Best Researcher Award

Principle Specialist, Pratt & Whitney Canada, Canada

Dr. Tieshu Fan is an accomplished rotordynamic engineer with over nine years of experience in technical solution development and aerospace research. His expertise lies in turbomachinery, vibration analysis, and rotor-bearing systems, with a particular focus on squeeze film damper (SFD) technology for aircraft engines. Dr. Fan has worked extensively at Pratt & Whitney Canada, contributing to engine system optimization, troubleshooting, and advanced rotordynamic analysis. He has published several influential research articles in top-tier journals and actively collaborated with academic and industry partners to bridge theoretical innovation with practical applications. With a PhD and Master’s degree from the University of Toronto and a Bachelor’s degree from Lanzhou University, Dr. Fan has also contributed significantly to academia through teaching and mentoring. His dedication to research, engineering excellence, and knowledge transfer positions him as a key contributor in the field of rotor dynamics and aerospace engineering.

Professional Profile

ORCID Profile

🎓 Education

Dr. Tieshu Fan holds a Doctor of Philosophy (2015–2020) and a Master of Applied Science (2013–2015) in Mechanical and Industrial Engineering from the University of Toronto, Canada. His doctoral research focused on advanced squeeze film damper (SFD) modeling and rotor vibration analysis for aircraft engine applications, under the supervision of Dr. Kamran Behdinan. Prior to his studies in Canada, Dr. Fan earned his Bachelor of Science in Mechanical and Civil Engineering from Lanzhou University, China (2008–2012). His educational journey provided him with a solid foundation in mechanical systems, structural analysis, and fluid dynamics. Through his studies, Dr. Fan developed strong analytical, computational, and experimental skills, which he has effectively applied in both academic research and industrial projects. His education not only shaped his technical expertise but also fostered his leadership in multidisciplinary collaborations.

💼 Experience

Dr. Tieshu Fan is currently serving as a Principal Specialist and Rotordynamic Engineer at Pratt & Whitney Canada, where he has led numerous projects in rotordynamic analysis, engine system validation, vibration troubleshooting, and structural load assessment. His industrial career spans from 2018 and resumed from 2022 to the present, where he provided critical support across engine development and service lifecycles. As a Post-doctoral Fellow at the University of Toronto (2020–2021), Dr. Fan spearheaded cutting-edge research on SFD models and developed advanced software tools for engine simulations. He also served as a research assistant in prominent laboratories at the University of Toronto, focusing on multibody frictional contact problems and rotor vibration analysis. Additionally, Dr. Fan dedicated seven years to teaching and mentoring as a Teaching Assistant and TA Coordinator, covering a wide range of engineering and mathematics courses. His combined academic and industry experience showcases his comprehensive expertise in rotor dynamics and turbomachinery.

🔬 Research Focus

Dr. Tieshu Fan’s research primarily centers on rotor dynamics, squeeze film damper (SFD) modeling, vibration analysis, and turbomachinery stability. His work has significantly advanced the understanding of fluid-structure interactions in rotating machinery, focusing on the dynamic behavior and damping mechanisms of rotor-bearing systems. He specializes in developing analytical and computational models to predict engine performance, assess structural integrity, and optimize vibration control. His research also explores cavitation effects, lubricant dynamics, and high-speed rotor systems relevant to aerospace engineering. Dr. Fan’s studies integrate theoretical modeling, experimental validation, and software development to support next-generation engine designs. His cross-disciplinary approach ensures practical applicability in industrial settings, particularly within aircraft engine manufacturing and maintenance. Through continuous collaboration with academia and industry, Dr. Fan is contributing to safer, more reliable, and more efficient turbomachinery systems. His work is particularly valuable for advancing the field of aircraft engine vibration control and system integration.

📚 Publication Top Notes

  1. An Analytical Turbulence Model for Squeeze Film Damper Short-Bearing Analysis
    📖 Applied Mechanics, 2025-07-01
    🔗 DOI: 10.3390/applmech6030048
    👥 Authors: Tieshu Fan, Kamran Behdinan
    Summary: Developed a turbulence model for short-bearing squeeze film dampers, enhancing rotordynamic prediction accuracy for high-speed rotating machinery.

  2. An Analytical Model for Open-Ended Squeeze Film Damper with a Circumferential Central Groove
    📖 Journal of Engineering Tribology, 2021
    🔗 DOI: 10.1177/1350650120987652
    👥 Authors: Tieshu Fan, Kamran Behdinan
    Summary: Presented an analytical model addressing groove effects in open-ended SFDs, improving vibration control in rotor systems.

  3. Vibration Analysis of Rotor-Bearing System Using Polynomial Interpolation for Squeeze Film Damper Models
    📖 SN Applied Sciences, 2020
    🔗 DOI: 10.1007/s42452-020-03783-y
    👥 Authors: Tieshu Fan, Kamran Behdinan
    Summary: Introduced polynomial interpolation methods to enhance the vibration analysis of rotor-bearing systems with SFDs.

Conclusion

Tieshu Fan is highly suitable for the Best Researcher Award, particularly in engineering and applied sciences with aerospace applications. His work demonstrates technical depth, practical relevance, and a consistent trajectory of contribution. To further solidify his standing, broadening his international research collaborations, increasing his citation footprint, and expanding mentorship roles would add extra strength to his already impressive profile.

N Raghavendra | Nanotechnology | Best Researcher Award

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Dr. N Raghavendra | Nanotechnology | Best Researcher Award

Research Associate, East West Institute of Technology, India

Dr. N. Raghavendra is an accomplished Research Associate at the East West Institute of Technology, Bangalore, specializing in polymer nanocomposites and electrochemical sensors. With over 13 years of research experience, he has contributed significantly to the development of high-performance polymer composites for marine and aerospace applications. Dr. Raghavendra earned his Ph.D. in Polymer Nanocomposites from Tumkur University and holds a strong expertise in synthesizing organomodified nanoclays to enhance composite properties. He is adept in material characterization techniques, including XRD, SEM, FTIR, DSC, and AFM. His interdisciplinary research spans polymers, graphene, nanometal oxides, battery recycling, and heavy metal sensors. Dr. Raghavendra has collaborated on several government-funded projects and published numerous articles in reputed journals and conferences. His work actively contributes to sustainable material innovation and real-world industrial applications. Passionate about advancing nanotechnology, he continuously seeks academic and research opportunities that foster impactful scientific contributions.

Professional Profile

🎓 Education

Dr. N. Raghavendra completed his Ph.D. in Materials Science from Tumkur University in 2017, focusing on polymer nanocomposites for structural applications. His doctoral research involved the synthesis and characterization of organomodified Indian Bentonite nanoclay and its performance in polymer matrices. He holds a Master of Science (M.Sc.) degree in General Chemistry from Kuvempu University (2008-2010), where he developed a deep interest in nanomaterial synthesis through his project on metal oxide nanoparticles via solution combustion methods. He also obtained his Bachelor of Science (B.Sc.) degree with majors in Chemistry, Botany, and Zoology from Kuvempu University (2005-2007). Dr. Raghavendra cleared the Karnataka State Eligibility Test (KSET) for Lectureship in Chemical Sciences in 2015, further solidifying his academic standing. His education has provided him with a robust foundation in materials chemistry, nanotechnology, polymer science, and advanced analytical techniques.

💼 Experience

Dr. N. Raghavendra is currently serving as a Research Associate at the East West Institute of Technology, Bangalore, since 2017, where he is part of a DST-sponsored project focused on developing portable devices for heavy metal detection in water. Prior to this, he worked from 2010 to 2017 as a Research Staff at Kuvempu University and at R.V. College Campus on multiple NRB and DRDO-funded projects, contributing extensively to polymer composites for marine and defense applications. His key responsibilities included synthesis of nanomaterials, fire-retardant composites, laser machining studies, and hydrothermal analysis of nanocomposites. Throughout his career, he has gained significant expertise in handling high-end characterization instruments and has been involved in national-level collaborative research. His experience bridges fundamental research and practical solutions for real-world engineering challenges, particularly in the fields of polymer development, nanotechnology, and advanced material design.

🔬 Research Focus

Dr. N. Raghavendra’s research centers on polymer nanocomposites, electrochemical sensors, and nanomaterial-based applications for structural, environmental, and energy sectors. His primary focus lies in synthesizing organomodified nanoclays to enhance the mechanical, fire-resistant, and moisture-barrier properties of fiber-reinforced polymer composites. He has worked extensively on developing materials for marine, aerospace, and defense applications, with a keen interest in corrosion resistance, laser machining, and seawater durability. His research extends to green synthesis of nanomaterials, battery recycling, and sustainable energy solutions using graphene-based electrodes and electrochemical sensors. Dr. Raghavendra is currently involved in projects that aim to create portable devices for heavy metal detection in water, addressing significant environmental concerns. His multi-disciplinary approach encompasses material synthesis, product development, and performance optimization for end-use applications, positioning him at the forefront of applied nanotechnology and polymer engineering research.

📚Publication Top Notes

  1. Electrochemical Sensor and Photocatalytic Studies of Ferrite Nanoparticle Using Different Fuels via Green Approach
    Sensing Technology (2024)
    DOI: 10.1080/28361466.2024.2336937
    Summary: This study focuses on green synthesis of ferrite nanoparticles using eco-friendly fuels and their dual application in electrochemical sensing and photocatalysis for environmental remediation.

  2. Evaluation of Nb₂O₅/rGO Nanocomposites for Electrochemical Sensor & Photocatalytic Applications
    Sensing Technology (2024)
    DOI: 10.1080/28361466.2023.2299092
    Summary: The paper evaluates Nb₂O₅/reduced graphene oxide nanocomposites as multifunctional materials with excellent electrochemical and photocatalytic efficiencies.

  3. MgAl₂O₄:Ho³⁺ Nanophosphors: Electrochemical Sensor, Photoluminescence and Photocatalytic Applications
    Asian Journal of Chemistry (2023)
    DOI: 10.14233/ajchem.2023.28287
    Summary: The research demonstrates the potential of holmium-doped nanophosphors in electrochemical sensing, light emission, and pollutant degradation.

  4. Green-Synthesised Cobalt Oxide Nanoparticles Using Aloe-Vera Latex for Photocatalytic and Electrochemical Sensor Studies
    Sensing Technology (2023)
    DOI: 10.1080/28361466.2023.2286948
    Summary: This work highlights the green synthesis of cobalt oxide nanoparticles using aloe vera extract and their practical sensing and photocatalytic applications.

  5. Cyclic Voltammetry, Impedance and Thermal Properties of CoFe₂O₄ from Waste Li-Ion Batteries
    Materials Today: Proceedings (2018)
    DOI: 10.1016/j.matpr.2018.06.612
    Summary: A novel recycling approach to extract and repurpose cobalt ferrite from discarded lithium-ion batteries for electrochemical energy applications.

Conclusion

Dr. N. Raghavendra is highly suitable for the Best Researcher Award based on his solid research track record, project contributions, publication output, and technical expertise. His interdisciplinary work, especially in polymer nanocomposites and electrochemical sensors with real-world applications, makes him a strong candidate. However, focusing on increasing international collaboration, innovation through patents, and higher citation impact would further solidify his eligibility for future prestigious awards.

Çağrı Melikşah Sakar | Animal welfare | Best Researcher Award

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Dr. Çağrı Melikşah Sakar | Animal welfare | Best Researcher Award

Head of Animal Production Department, International Center for Livestock Research and Training, Turkey

Dr. Çağrı Melikşah Sakar is an accomplished Agricultural Engineer specializing in animal breeding, genetics, and welfare. He earned his Ph.D. in Animal Breeding and Improvement from Selçuk University in 2019, following his M.Sc. and Bachelor’s studies at the same institution. With over a decade of research experience, Dr. Sakar has significantly contributed to the genetic improvement, welfare evaluation, and conservation of native Turkish breeds, particularly Anatolian Black cattle and Akkaraman sheep. He has successfully led and collaborated on numerous national projects focused on animal welfare, genomic selection, physiological monitoring, and socio-economic impacts of livestock conservation. Dr. Sakar has a strong publication record in reputable international journals and has actively presented his work at national conferences. His recent studies integrate modern animal tracking systems and genetic evaluations, reflecting his forward-thinking approach to sustainable livestock management. Dr. Sakar’s research directly supports the ethical improvement of animal production systems.

Professional Profile

Education

Dr. Çağrı Melikşah Sakar has built a solid academic foundation at Selçuk University, Turkey. He completed his Ph.D. in Animal Breeding and Improvement (2015-2019), where his research focused on genetic markers related to growth in Anatolian Black cattle. His doctoral thesis employed PCR-RFLP methods to explore the relationship between Myostatin, GHR, and Pit-1 genes with growth traits. Dr. Sakar also holds a Master of Science in Animal Breeding and Improvement (2007-2009), where he estimated genetic parameters for birth weights in Brown Swiss cattle. He further expanded his expertise during his Bachelor’s studies in the Faculty of Agriculture (2002-2007). Throughout his academic journey, Dr. Sakar has focused on combining molecular genetics, animal physiology, and applied breeding techniques, which laid the groundwork for his extensive contributions to animal welfare, indigenous breed conservation, and sustainable livestock production in Turkey.

Experience

Dr. Çağrı Melikşah Sakar has extensive research and project management experience, working on over 15 major projects from 2015 to 2024. His roles have ranged from Project Leader to Assistant Researcher in diverse studies focusing on animal welfare, genomic selection, physiological monitoring, and conservation of native Turkish breeds like the Anatolian Black cattle and Akkaraman sheep. Key projects include the Genomic Selection in Simmental Cattle (2022-2024) and Protection of Anatolian Black Cattle (2016-2024), where he contributed significantly to practical conservation and genetic evaluation efforts. He has led innovative animal welfare assessments using resource-based indicators and developed advanced animal tracking systems. Dr. Sakar’s work integrates genetics, behavior monitoring, climate-related studies, and socio-economic evaluations, highlighting his multidisciplinary approach. His leadership in national animal welfare projects has contributed to elevating animal production standards and promoting sustainable livestock systems in Turkey.

Research Focus

Dr. Çağrı Melikşah Sakar’s primary research focuses on animal breeding, welfare assessment, genetic improvement, and indigenous breed conservation. He is particularly committed to improving the health, productivity, and sustainability of native Turkish livestock such as Anatolian Black cattle, Akkaraman sheep, and Angora goats. His studies emphasize the genetic evaluation of growth traits, animal welfare monitoring using behavior-based and resource-based indicators, climate impact assessments, and real-time animal tracking systems. Dr. Sakar is also involved in socio-economic studies assessing the benefits of local breed conservation for rural communities. Recently, he has expanded his research into the application of electronic sensors for behavior tracking and welfare analysis, demonstrating his commitment to integrating technology with traditional animal science. His work supports the ethical development of livestock farming, promoting animal-friendly practices that improve both animal well-being and productivity. His research has practical applications for policymakers, farmers, and the scientific community.

Publication Top Notes

Title: Determination of the relationship between Anatolian black cattle growth properties and myostatin, GHR and Pit-1 gene
Authors: ÇM Sakar, U Zülkadir
Journal: Animal Biotechnology 33 (3), 536-545
Year: 2022 | Cited by: 15
Summary: This study explores genetic associations affecting growth in Anatolian Black cattle, offering critical insights into improving breed performance through targeted genetic selection.

Title: Prediction of Live Weight from Chest Girth From Birth to 12 Months of Age in Yerli Kara Cattle
Authors: ÇM Sakar, İ Ünal, A Okuroğlu, Mİ Coşkun, U Zülkadir
Journal: Black Sea Journal of Agriculture 3 (3), 200-204
Year: 2020 | Cited by: 14
Summary: The paper provides predictive equations for live weight estimation using chest girth, supporting practical weight management in cattle farming.

Title: Development of Akkaraman lambs in Cankiri region from birth to 120 days
Authors: ÇM Sakar, A Erişek
Journal: Black Sea Journal of Agriculture 2 (1), 16-20
Year: 2019 | Cited by: 12
Summary: The research focuses on growth rates in Akkaraman lambs under local farming conditions, offering valuable data for genetic improvement progra

Title: The Effect of Maternal Age on Some Body Measurements in Anatolian Black Calves
Authors: İ Ünal, Hİ Tuncer, ÇM Sakar, E Ünay
Journal: Black Sea Journal of Agriculture 2 (1), 47-50
Year: 2019 | Cited by: 11
Summary: This study evaluates how maternal age influences calf body measurements, providing insights into reproductive management.

Title: Determination of growth characteristics of Akkaraman lambs raised in Çankırı province
Authors: ÇM Sakar, İ Ünal
Journal: Journal of Animal Production 62 (1), 61-66
Year: 2021 | Cited by: 10
Summary: A detailed analysis of growth trends in Akkaraman lambs, contributing to the optimization of sheep breeding strategies.

Conclusion

Dr. Çağrı Melikşah Sakar presents a strong candidacy for the Best Researcher Award due to his extensive contributions to animal welfare, genetic improvement, and livestock sustainability, particularly with a focus on native Turkish breeds. His leadership in national projects, robust publication record, and practical applications of his research demonstrate his significant impact on the field. With increased international collaboration and outreach, his work holds potential for even greater global influence.