Yuhua Yang | Materials Chemistry | Best Researcher Award

Dr. Yuhua Yang | Materials Chemistry | Best Researcher Award

Jiangxi Science and Technology Normal University | China

Dr. Yuhua Yang is an accomplished materials scientist specializing in nanomaterials synthesis and advanced electrochemical energy-storage systems, with a strong focus on lithium-ion and lithium-sulfur battery technologies. He holds a bachelor’s degree from Nanchang University, a master’s degree from Beijing University of Posts and Telecommunications, and a Ph.D. from Hunan University. He has significant industrial and academic experience, having served in roles at Haier Group, China Netcom Corporation, and Yichun University before joining the School of Materials and Energy at Jiangxi Science and Technology Normal University. His research portfolio centers on bio-derived nanostructures and engineered electrode materials designed to overcome critical battery challenges, including volume expansion, low coulombic efficiency, and poor cycle stability. Representative studies include innovative Sn-based and Ni-based electrodes derived from bacterial carbon and natural biotemplates, such as Bacillus subtilis-based carbon @Sn anodes and yolk-shell Ni₃P-carbon@graphene frameworks, demonstrating enhanced electrochemical stability and durability. His recent publications also explore advanced core-shell architectures and flexible bacterial-carbon/graphene systems , reflecting his continuing drive toward high-capacity, stable, and flexible battery platforms. Notably, his contribution to bacteria-derived carbon materials for Li-S batteries published in Nano Letters  has been cited 110 times, underscoring international recognition of his work. Across 15 indexed publications, Dr. Yang has accumulated 515 citations from 487 documents and holds an h-index of 7 in Scopus, indicating strong and growing impact in the fields of materials chemistry and energy storage. His innovative approach of integrating biological templates with advanced nanostructuring strategies provides sustainable pathways for next-generation battery materials, positioning him as a rising leader in energy and nanomaterials research.

Profile : Scopus 

Featured Publications

Li, F., Han, P.-T., … Yang, Y.-H. (2025). The core-shell structure of bacteria-based C@Sn/Carbon nanotubes exhibits super-stable cycling performance for lithium-ion battery anodes. Journal of Power Sources, 645.

Li, F., Han, P.-T., … Yang, Y.-H. (2025). Flexible Co₃(PO₄)₂@ bacterial carbon/reduced graphene oxides for Li-ion batteries anode. Materials Letters, 389.

Zhang, Z.-W., Li, F., … Yang, Y.-H. (2024). Ultra-high first coulombic efficiency and stable cycle performance of bacterial-based C/Sn/SnS nanomaterial for lithium-ion battery anodes. Chemical Physics Letters, 840.

Yang, Y.-H., Xi, Z.-C., … Zhou, J. (2023). Gram-positive bacteria Bacillus subtilis-based carbon @ Sn anode for high-performance Li-ion batteries. Journal of Materials Science: Materials in Electronics, 34(8).

Yang, Y.-H., Zhang, Z.-W., … Zhou, J. (2022). The photoluminescence materials of green light Gd₂O₃:Eu and its influencing factors. Journal of the Physical Society of Japan, 91(11).

Dilip Kumar Meena | Materials Chemistry | Best Researcher Award

Dr. Dilip Kumar Meena | Materials Chemistry | Best Researcher Award

Hemwati Nandan Bahuguna Garhwal University (A Central University) | India

Profiles

Scopus
Google scholar

Early Academic Pursuits

Dr. Dilip Kumar Meena began his academic journey with a strong foundation in Physics, completing his undergraduate studies from Rajasthan University, followed by postgraduate education from one of India’s premier institutes, the Indian Institute of Technology, Ropar. His early inclination towards solid-state physics and materials science laid the groundwork for advanced research, which he pursued rigorously during his doctoral studies at the Indian Institute of Science, Bangalore. These formative academic experiences nurtured his scientific rigor and critical thinking, equipping him with a comprehensive understanding of physical sciences and experimental research methodologies.

Professional Endeavors

Dr. Meena currently serves as an Assistant Professor at HNB Garhwal University, where he combines academic instruction with active research. His transition from a research fellow to a faculty member reflects his progressive academic trajectory and dedication to both research and teaching. During his academic career, he earned prestigious fellowships including Junior and Senior Research Fellowships, demonstrating his competence in securing competitive research opportunities and contributing to high-impact scientific work.

Contributions and Research Focus

Dr. Meena’s research primarily revolves around thermoelectric materials, nanostructured composites, and solid-state physics. He has extensively studied materials such as Sb₂Te₃, Bi₂Te₃, and ZnTe for their thermoelectric applications, focusing on improving their electrical and thermal conductivity through material processing techniques like melt solidification and top-down synthesis. His work on conduction reversal and thermal conductivity suppression in nanocomposites showcases a clear understanding of electron and phonon transport mechanisms in advanced materials. Additionally, his research on crystal growth and characterization of Weyl semimetals indicates a deep engagement with topological materials and quantum phenomena.

Impact and Influence

Dr. Meena’s publications in reputed international journals such as Journal of Alloys and Compounds, Applied Physics A, and Material Research Express reflect the global relevance of his research. His contributions have helped expand knowledge in energy-efficient thermoelectric devices, a field critical to sustainable energy technologies. Furthermore, his involvement in organizing academic seminars and delivering conference presentations illustrates his role in promoting scientific dialogue and interdisciplinary collaboration.

Academic Citations

Dr. Meena’s work has been cited in the scientific community for its novelty and technical strength. His research outputs provide critical insights into thermoelectric material design, structural transformation through solid-state reactions, and enhanced understanding of composite behavior at nanoscale. His growing citation record indicates a rising academic footprint in the domain of energy materials and applied physics.

Technical Skills

Dr. Meena possesses robust technical expertise in material synthesis, thermal conductivity measurements, X-ray diffraction (XRD), scanning electron microscopy (SEM), and thermoelectric property characterization. He has hands-on experience with melt growth techniques, solid-state calcination kinetics, and compositional engineering of nanomaterials. His interdisciplinary skills also extend to experimental data analysis, scientific writing, and collaborative research project development.

Teaching Experience

As an Assistant Professor, Dr. Meena is actively involved in undergraduate and postgraduate teaching. His pedagogy emphasizes conceptual clarity, experimental validation, and research-oriented learning. He mentors students on academic projects, guiding them through laboratory work, literature review, and research dissemination. His participation in workshops such as scientific paper writing and his leadership in organizing university-level seminars underscore his commitment to holistic student development.

Legacy and Future Contributions

Dr. Meena is poised to contribute significantly to the advancement of materials science, particularly in the development of next-generation thermoelectric materials for energy conversion technologies. His future research aims to explore eco-friendly synthesis routes, functional composites, and device-level integration of energy materials. By nurturing a research-oriented academic culture and engaging in international collaborations, he is set to influence both academia and industry in the domain of sustainable energy.

Notable Publications

Structural transformation of MnTiO₃ with manganese dioxide and titanium dioxide influenced by solid-state calcination kinetics
Authors: Ritushree Shaily, Abhishek Parsad, Kuldeep Kumar, Dilip Kumar Meena
Journal: Next Materials
Year: 2025

Polymer-mixed Sb₂Te₃/Te nanocomposites exhibiting p-type to n-type conduction reversal and thermal conductivity reduction
Authors: Dilip Kumar Meena, Rapaka S. C. Bose, A. M. Umarji, D. Arvindha Babu
Journal: Materials Research Express
Year: 2023

Melt Solidification Rate-Dependent Structural and Thermoelectric Properties of Sb₂Te₃/Te Nanocomposites
Authors: Dilip Kumar Meena, Rapaka S. C. Bose, K. Ramesh
Journal: Journal of Alloys and Compounds
Year: 2022

Impact of Melt Solidification Rate on Structural and Thermoelectric Properties of n-type Bi₂Te₃ Alloy
Authors: Dilip Kumar Meena, Rapaka S. C. Bose, S. Vinoth, K. Annapurna, K. Ramesh
Journal: Applied Physics A
Year: 2022

Role of grain alignment and oxide impurity in thermoelectric properties of textured n-type Bi–Te–Se alloy
Authors: Rapaka S. C. Bose, Dilip Kumar Meena, Paolo Mele, K. Ramesh
Journal: Journal of Physics D: Applied Physics
Year: 2021

Conclusion

Dr. Dilip Kumar Meena exemplifies the qualities of a forward-thinking academic and dedicated researcher. With a strong foundation in experimental physics, impactful publications, and an active teaching role, he is steadily building a legacy of scientific contribution and academic leadership. His trajectory indicates not only a commitment to research excellence but also a vision to shape the future of applied sciences through innovation and education.

Mohamed Issa | Electrochemistry | Best Researcher Award -1744

Assoc. Prof. Dr. Mohamed Issa | Electrochemistry | Best Researcher Award

Egypt Japan University Of Science & Technology, Egypt

👨‍🎓Profiles

🏫 Early Academic Pursuits

Dr. Mohamed Issa embarked on his academic journey with a B.Sc. in Computer Engineering from the Faculty of Engineering, Zagazig University, in 2009, earning an Excellent with Honor distinction. His passion for computer systems and engineering led him to pursue higher education, obtaining an M.Sc. in Computer Engineering in 2013 from the same institution. His research during this period laid a strong foundation for his expertise in meta-heuristics, soft computing algorithms, and artificial intelligence. He further cemented his academic credentials by earning a Ph.D. in Computer Engineering in 2019 from Zagazig University, focusing on advanced computational techniques.

🎓 Professional Endeavors

Dr. Issa's professional career reflects a steady progression through academia. His tenure at Zagazig University began in 2013 as a Teaching Assistant, where he played a crucial role in guiding students in computer engineering subjects. He later advanced to Lecturer Assistant until 2019, when he earned his Ph.D. and transitioned into a full-time Assistant Professor at the Computer and Systems Department, Faculty of Engineering, Zagazig University. In parallel, he contributed to multiple institutions, including NAHDA University and the Higher Technological Institute in Tenth of Ramadan City, as a Part-time Assistant Professor, bringing his expertise in computer science to a broader student community.

His academic growth was officially recognized in 2024 when he was promoted to Associate Professor. He currently holds dual appointments:

  • Full-time Associate Professor at Egypt-Japan University for Science and Technology (E-JUST).
  • Full-time Associate Professor at Zagazig University’s Computer and Systems Department.

These roles underline his national and international contributions to higher education and research.

🧠 Contributions and Research Focus

Dr. Issa’s research contributions span multiple disciplines, with a strong focus on artificial intelligence and computational optimization. His work includes:
✅ Soft Computing Algorithms – Developing and refining computational models for intelligent systems.
✅ Meta-heuristics & Stochastic Algorithms – Enhancing optimization techniques used in engineering and artificial intelligence.
✅ Engineering Problems Optimization – Applying AI-driven approaches to solve complex real-world engineering challenges.
✅ Artificial Intelligence & Machine Learning – Advancing AI methodologies for automation and decision-making.
✅ Computer Vision – Exploring image processing and pattern recognition techniques.
✅ Parallel Computing – Leveraging multi-core and distributed systems for computational efficiency.
✅ Bioinformatics – Implementing AI algorithms for genetic data analysis and biomedical research.

His research contributions have been widely recognized, particularly in machine learning-based optimization, AI-driven decision-making systems, and bioinformatics applications.

🌍 Impact and Influence

Dr. Issa has made a significant impact in the fields of computer science, engineering optimization, and artificial intelligence. His work has influenced research directions in multiple domains, including:
🔹 Developing enhanced meta-heuristic algorithms for complex optimization problems.
🔹 Advancing AI methodologies for industrial and healthcare applications.
🔹 Contributing to bioinformatics research, particularly in sequence alignment and computational biology.

His research has been cited extensively in top-tier scientific journals, showcasing his influence in the global research community.

📊 Academic Citations & Recognition

Dr. Issa’s work has gained considerable academic recognition, reflected in the high citation counts of his publications. His peer-reviewed research in top journals such as Expert Systems with Applications, Applied Soft Computing, and Sustainable Energy Technologies and Assessments highlights his expertise in AI and optimization. His interdisciplinary approach has fostered collaborations with researchers worldwide, further elevating his academic stature.

🔧 Technical Skills

Dr. Issa is proficient in a wide range of technical and analytical tools, including:
✔ Programming Languages: Python, C++, MATLAB, Java.
✔ Optimization Techniques: Meta-heuristics, Evolutionary Algorithms, Swarm Intelligence.
✔ AI & Machine Learning: Deep Learning, Neural Networks, Reinforcement Learning.
✔ Computational Tools: TensorFlow, OpenCV, Scikit-learn, PyTorch.
✔ Parallel Computing: GPU programming, CUDA, OpenMP.

👨‍🏫 Teaching Experience & Mentorship

With over a decade of teaching experience, Dr. Issa has guided numerous undergraduate and postgraduate students. His dynamic teaching methodology integrates theoretical concepts with practical applications, ensuring students gain hands-on experience in AI, optimization, and bioinformatics. He has also mentored students in their research projects, dissertations, and international competitions, many of whom have gone on to pursue successful careers in academia and industry.

🚀 Legacy and Future Contributions

Dr. Mohamed Issa continues to drive innovation and knowledge in artificial intelligence, bioinformatics, and optimization algorithms. His future research directions include:
🔸 Developing cutting-edge AI models for next-generation computing.
🔸 Enhancing computational efficiency through advanced parallel processing.
🔸 Bridging AI and healthcare to create predictive and diagnostic tools.
🔸 Spearheading interdisciplinary collaborations to address emerging global challenges.

Through his extensive research, teaching, and mentorship, Dr. Issa is shaping the future of AI-driven innovation and contributing to scientific advancements that impact both industry and academia.

📖Notable Publications

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Authors: M. Issa, D. Oliva, A.E. Hassanien, H. Ahmed, A. Ahmed

Journal: Expert Systems with Applications

Year: 2018

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

Authors: A.H. Elsheikh, S. Shanmugan, R. Sathyamurthy, A.K. Thakur, M. Issa, ...

Journal: Sustainable Energy Technologies and Assessments

Year: 2022

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Authors: M. Issa, A. Samn

Journal: Mathematics and Computers in Simulation

Year: 2022

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

Authors: M. Issa

Journal: Arabian Journal for Science and Engineering

Year: 2023

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

Authors: M.E. Issa, A.M. Helmi, M.A.A. Al-Qaness, A. Dahou, M. Abd Elaziz, ...

Journal: Healthcare

Year: 2022

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

Authors: M. Abd Elaziz, L. Abualigah, M. Issa, A.A. Abd El-Latif

Journal: Fuel

Year: 2023

Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm

Authors: M. Issa, M. Abd Elaziz

Journal: Applied Soft Computing

Year: 2020