Amir H. Navarchian | Research Excellence | Research Excellence Award

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Prof. Amir H. Navarchian | Research Excellence | Research Excellence Award

Prof. Amir H. Navarchian | University of Isfahan | Iran

Prof. Amir H. Navarchian is a distinguished Professor of Chemical and Polymer Engineering at the University of Isfahan, Iran. He earned his B.Sc. in Chemical Engineering from Isfahan University of Technology, and his M.Sc. and Ph.D. in Chemical Engineering from Tarbiat Modares University, Tehran. He has completed postdoctoral research at the University of Groningen, Netherlands, focusing on polyurethane rheokinetics, and a sabbatical at the University of Waterloo, Canada, investigating polyvinyl acetate as a polymer binder for hybrid aqueous batteries. Prof. Navarchian’s research spans polymer membranes, polymer gas sensors, self-healing composites, and polymerization engineering. He has published extensively, with over 25 journal articles covering polymer/clay nanocomposites, emulsion polymerization, polyurethane chemistry, and molecular simulation studies. His work on PVC/clay nanocomposites led to a patented in-situ polymerization method registered in Iran in 2017. He has also contributed to industrial projects with leading Iranian companies, including the Iranian National Petrochemical Company and Mobarakeh Steel Company, and served as a technical consultant on PVC production processes at Arvand Petrochemical Complex. As an educator, Prof. Navarchian teaches both undergraduate and graduate courses, including Advanced Membrane Process Engineering, Polymerization Reaction Engineering, and Design of Experiments. He actively mentors graduate students in chemical and polymer engineering. He is a member of the Iranian Chemical Engineering Association, Iranian Polymer Engineering Association, and Iranian Composite Association. With a Google Scholar H-index of 21 and i10-index of 41, his research has significantly impacted polymer science, nanocomposites, and industrial polymer processes. Prof. Navarchian combines academic excellence with industrial relevance, driving innovation in polymer engineering while fostering the next generation of engineers through teaching, research, and applied consultancy.

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Qihang Li | Research Excellence | Research Excellence Award

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Dr. Qihang Li | Research Excellence | Research Excellence Award

Chongqing University | China

Dr. Qihang Li, Ph.D. from Chongqing University, is an emerging researcher specializing in underground energy storage, rock mechanics, and geotechnical monitoring. His core research focuses on evaluating the feasibility, stability, and airtightness of storing compressed air, natural gas, hydrogen, and carbon dioxide in low-grade salt caverns filled with sediments—a critical direction for advancing large-scale, safe, and sustainable subsurface energy storage technologies. In addition to his contributions to underground storage engineering, Dr. Li integrates computer vision technology into geotechnical applications. He has conducted innovative work on rock and slope monitoring, early-warning systems, and image-recognition–based hazard detection, strengthening the interdisciplinary link between geomechanics and intelligent sensing. Over the past five years, Dr. Li has demonstrated strong research leadership. He has chaired one postgraduate scientific research innovation project and served as a key contributor to more than 10 major research initiatives, including national key R&D sub-projects, general and regional foundation programs, youth funds, and industry–academia collaborative projects. Dr. Li has an impressive publication record, with 45 papers published or accepted—35 indexed in SCI. As the first or corresponding author, he has produced 25 articles in top-tier SCI journals, such as Energy Storage Materials, International Journal of Mining Science and Technology, Chemical Engineering Journal, Journal of Rock Mechanics and Geotechnical Engineering, and Journal of Cleaner Production. His cumulative impact factor exceeds 152.5, with more than 1,100 ResearchGate citations and an H-index of 18. His contributions include 8 ESI Highly Cited/Hot Papers and 2 papers cited over 100 times.

 

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Uchenna Kingsley Okeke | Research Excellence | Best Researcher Award

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Dr. Uchenna Kingsley Okeke | Research Excellence | Best Researcher Award

Dr. Uchenna Kingsley Okeke | University of Johannesburg | South Africa

A dedicated researcher and educator, this academic professional has established a strong interdisciplinary footprint in Physics Education, STEM/STEAM pedagogy, and curriculum innovation. Their work spans instructional strategy design, educational assessment, and the integration of indigenous knowledge systems into science education, with a particular emphasis on decolonizing STEM pedagogy and advancing gender-responsive teaching aligned with Sustainable Development Goal 4. With teaching and research experience across university and secondary school settings, they have contributed significantly to the development of physics education through innovative instructional approaches, classroom engagement research, and psychomotor domain advancement within STEAM frameworks. Their scholarly achievements include numerous peer-reviewed publications, book chapters, and conference proceedings covering topics such as cognitively guided instruction, contextualized physics pedagogy, assessment practices, student mental health, and gender-related barriers in STEM. Their research also explores comparative instructional models, students’ learning difficulties, cognitive development, and the role of science education in fostering social dimensions of scientific understanding. In addition to publishing in respected international journals, they serve as a peer reviewer for several academic outlets, demonstrating commitment to scholarly quality and academic leadership. The candidate’s professional experience includes university-level instruction, curriculum development, supervision of teaching practicums, and management of school-wide academic programmes. They possess expertise in quantitative and qualitative research methods, especially SPSS statistical analysis and thematic interpretation of qualitative data. Their contributions extend to professional development initiatives for educators and community-based engagement focused on social and environmental issues. They have presented research at international conferences and participated in capacity-building programmes and workshops dedicated to gender equity, African studies, and early-career research development. Their academic competencies span instructional design, assessment development, cross-cultural collaboration, and evidence-based teaching practices. As an active member of relevant professional bodies, they continue to contribute to the growth of science education through research, leadership, and transformative educational practice.

Profiles: Scopus | Orcid | LinkedIn| Research Gate

Featured Publications

Okeke, U. K., & Ramaila, S. (2025). Decolonizing secondary school science education through contextualized instruction: An exploration of the nature of science, adaptive expertise, instructional implications and pedagogical frameworks for knowledge integration. Social Sciences & Humanities Open, 11, 101614. https://doi.org/10.1016/j.ssaho.2025.101614

Okeke, U. K., & Ramaila, S. (2025). Reimagining the psychomotor domain: Pedagogical implications of STEAM education. Education Sciences, 15(11), 1497. https://doi.org/10.3390/educsci15111497

Okeke, U. K. (2025). Instructional design considerations: Cognitive development and physics comprehension in secondary education. International Journal of Studies in Psychology, 5(2), 1–4.

Okeke, U. K., & Ramaila, S. (2025, June 28). Teachers’ TPACK: Evaluating the strengths and weaknesses of online assessment in K-12 science instruction. In Education and New Developments (END) 2025 Conference Proceedings (pp. 171–174).

Okeke, U. K., & Ramaila, S. (2025, June 28). The emergence of STEAM and its pedagogical implications: A re-evaluation of the psychomotor domain. In Education and New Developments (END) 2025 Conference Proceedings (pp. 151–155).

Adeduyigbe, A. M., Ukoh, E. E., & Okeke, U. K. (2025). Influence of gender on secondary school physics students’ learning difficulties in electricity. Physics Education, 60, 025017. https://doi.org/10.1088/1361-6552/adab5d

Yong Liu | Research Excellence | Innovative Research Award

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Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

Profile: Orcid

Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1

Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award | 2537

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Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award

Mr. Ehsan Esmaeeli | Sharif University of Technology | Iran

Ehsan Esmaeeli, a dedicated researcher in Maintenance and Reliability Engineering at Sharif University of Technology, exemplifies excellence in research, innovation, and professional expertise. His scholarly contributions span maintenance optimization, reliability modeling, and intelligent asset management systems, integrating AI and hybrid optimization techniques. With multiple publications in high-impact international journals such as IEEE Access and Journal of Quality in Maintenance Engineering, his work has advanced the understanding of data-driven maintenance strategies and sustainable industrial operations. A Certified Maintenance and Reliability Professional (CMRP), Asset Management Assessor (CAMA), and Reliability Leader (CRL), Ehsan bridges academic research with industrial practice, fostering innovation that enhances system reliability and operational efficiency.

Profile: Scopus | Orcid

Featured Publications

Esmaeeli, E., Collins, A. J., Varmazyar, M., & Khorshidnia, M. (2025). Agent-based modeling applications in maintenance systems: A systematic review. Journal of Quality in Maintenance Engineering, 31(3), 325–349. https://doi.org/10.1108/JQME-03-2024-0028

Ajit Yadav | Research Excellence | Best Researcher Award

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Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Mansour Amini | Research Excellence | Innovative Research Award

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Dr. Mansour Amini | University Sains Malaysia | Innovative Research Award 

Dr. Mansour Amini | University Sains | Malaysia

Dr. Mansour Amini is a distinguished academic, researcher, and translator whose expertise spans translation studies, applied linguistics, and English language teaching. He serves as a senior lecturer at Universiti Sains Malaysia, where he contributes actively to teaching, research, and postgraduate supervision. His professional journey includes leadership roles in higher education, where he has coordinated courses, guided research teams, and contributed to programme development and innovation. Fluent in multiple languages, including English, Persian, Azerbaijani, and Turkish, with working knowledge of others, he brings a unique cross-cultural perspective to his scholarship. Dr. Amini’s research covers translation quality assessment, interpreting, language pedagogy, feedback practices, and the integration of artificial intelligence in translation studies. He has published widely in reputable international journals, with his body of work comprising more than forty scholarly documents that have collectively earned over 216 citations across more 152  academic sources, reflected in a citation index of 7. Beyond research, he has been recognized with awards for teaching excellence, academic leadership, and impactful scholarly contributions. His professional engagements also extend to international collaborations, visiting professorships, and fellowships, reflecting his global academic footprint. Dedicated to fostering academic growth, he continues to inspire students and colleagues through innovative research, interdisciplinary collaboration, and a passion for multilingual education.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Amini, M. (2025). Book review: AI revolution: Profitable opportunities in the age of artificial intelligence. Journal of Multidisciplinary in Social Sciences.

Amini, M., & Zahabi, A. (2025). Communicating across borders: Unveiling the pragmatic foundations in applied linguistics. International Review of Pragmatics.

Amini, M., Lee, K.-F., & Yiqiu, W., & Ravindran, L. (2025). Proposing a framework for ethical use of AI in academic writing based on a conceptual review: Implications for quality education. Interactive Learning Environments.

Amini, M., Wang, Q., Amini, D., Ravindran, L., Tan Ai Lin, D., Ganapathy, M., Singh, M. K. M., Bartsch, D. U. G., Cheng, L., & Ferreyra, H. A., et al. (2025). The significance of humanistic approach and moral development in English language classrooms. Discover Education.

Alavi, S., Amini, M., & Zahabi, A. (2025). Postgraduate TEFL students’ perceptions towards thesis supervision quality in Thailand: The role of expectations and negotiation in supervision quality. Reflections.

Yeoh, S. W., Amini, M., Lee, K.-F., & Oumeng, H. (2025). Analysing individual racism portrayal in Hanna Alkaf’s novel The weight of our sky. Cogent Arts & Humanities, 12(1).

Wu, S., Amini, M., & Mahfoodh, O. H. A. (2025). Unveiling certainty and doubt: A systemic functional exploration of epistemic modality in courtroom discourse. International Journal for the Semiotics of Law – Revue internationale de Sémiotique juridique.

Amini, M. (2025). Navigating health information in the age of artificial intelligence. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality.

Amini, M. (2025). Cutting-edge approaches in translator education and pedagogy. Cutting-Edge Approaches in Translator Education and Pedagogy.

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

Lea Sandoz-Mey | Academic Recognition | Best Researcher Award

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Ms. Lea Sandoz-Mey | Academic Recognition | Best Researcher Award

Global Campus of Human Rights | Switzerland

Lea Sandoz-Mey is an accomplished inclusion expert with extensive experience in accessibility, participation, and Disability Studies, firmly rooted in the principles of the UN Convention on the Rights of Persons with Disabilities. She has held leadership and project management roles across Switzerland, driving campaigns, initiatives, and educational programs that foster inclusive structures and sustainable change. As the Founder and President of inclusion360 and an active board member in national and international organizations, she brings together diverse stakeholders to advance human rights and social participation. Her professional journey is complemented by international training in leadership and European studies, as well as recognition in prestigious competitions such as Global Changemakers and Global Teen Leader. Passionate, practical, and visionary, Lea continues to serve as a connector and bridge-builder in shaping a more inclusive society.

Profile: Google Scholar

Featured Publications

“Barrierefreiheit und politische Teilhabe von Menschen mit Behinderungen in Schweizer Parteien”