Dr. Yu Peng | Artificial Neural Networks | Best Researcher Award

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Dr. Yu Peng | Artificial Neural Networks | Best Researcher Award

Associate Research Fellow | East China University of Science and Technology | China

Dr. Yu Peng, Associate Research Fellow at the School of Materials Science and Engineering, East China University of Science and Technology, has built an impressive academic and research career with a strong focus on materials chemistry and energy-related applications, where Artificial Neural Networks play a pivotal role in his innovative work. With a B.Sc. in Pharmacy from Nanchang University and a Ph.D. in Physical Chemistry under joint supervision at ShanghaiTech University and the Chinese Academy of Sciences, he deepened his expertise before advancing as a Post-doctor and then securing his current academic position. Dr. Yu Peng’s professional experience demonstrates his dedication to exploring polar and ferroelectric materials, two-dimensional photoelectric materials, photocatalytic hydrogen production, and photocatalytic biomass conversion, where Artificial Neural Networks are consistently applied to enhance predictive modeling, structural optimization, and performance analysis. His research has earned prestigious awards such as the Carbon Future Young Investigator Honorable Mention Award and multiple national scholarships, reflecting his outstanding contributions to science. Widely published in leading journals, his work bridges experimental material synthesis with Artificial Neural Networks modeling to design high-performance perovskites and hybrid semiconductors. His research skills encompass advanced materials characterization, computational simulations, and integration of Artificial Neural Networks in analyzing photoelectric and catalytic behaviors. Dr. Yu Peng’s career reflects a fusion of theoretical insight and practical applications, and his achievements in Artificial Neural Networks demonstrate his commitment to driving forward sustainable energy materials, innovative photocatalysts, and advanced optoelectronic devices, making him a recognized contributor to the global research community.

Profile: ORCID

Featured Publications

1. Zhang, J., Zhang, Y., Peng, Y., Wang, M. M., Zhu, Y., Wang, X., Tang, Y. Y., Ding, P. C., Liu, P. F., & Yang, H. G. (2025). Template-free synthesis of single-crystal SrTiO₃ nanocages for photocatalytic overall water splitting. Chemical Communications.

2. Peng, Y., Li, L., Xu, Y., Wang, X., & Hou, Y. (2025). Two-dimensional multilayered ferroelectric with polarization-boosted photocatalytic hydrogen evolution. Catalysts.

3. Peng, Y., Zhang, Y., Wang, X., Sui, X. Y., Lin, M. Y., Zhu, Y., Jing, C., Yuan, H. Y., Yang, S., Liu, P. F., et al. (2024). Polar aromatic two-dimensional Dion–Jacobson halide perovskites for efficient photocatalytic H₂ evolution. Angewandte Chemie.

4. Peng, Y., Zhang, Y., Wang, X., Sui, X. Y., Lin, M. Y., Zhu, Y., Jing, C., Yuan, H. Y., Yang, S., Liu, P. F., et al. (2024). Polar aromatic two-dimensional Dion–Jacobson halide perovskites for efficient photocatalytic H₂ evolution. Angewandte Chemie International Edition.

5. Liu, D., Zheng, Y., Sui, X. Y., Wu, X. F., Zou, C., Peng, Y., Liu, X., Lin, M., Wei, Z., Zhou, H., et al. (2024). Universal growth of perovskite thin monocrystals from high solute flux for sensitive self-driven X-ray detection. Nature Communications.

Dr. Shajar Abbas | Mathematics | Best Researcher Award

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Dr. Shajar Abbas | Mathematics | Best Researcher Award

Researcher | Bahauddin Zakariya University - BZU | Pakistan

Dr. Shajar Abbas is a dedicated scholar in Mathematics with a strong academic background including Ph.D., M.Phil., M.Sc., and B.Sc. degrees in Mathematics from Bahauddin Zakariya University, where he also served as a visiting lecturer at multiple institutions. His research interests center on applied and computational Mathematics, fluid dynamics, nanofluids, heat and mass transfer, Newtonian and non-Newtonian fluids, and advanced numerical methods such as FEM, FDM, and bvp4c, along with Artificial Neural Networks. Dr. Shajar Abbas has authored more than 40 peer-reviewed publications in leading Mathematics journals, achieving significant recognition with highly cited papers. His doctoral research introduced advanced fractional models, particularly the constant proportional Caputo derivative, to improve predictions in Mathematics-based fluid dynamics and nanofluid transport. Professionally, he has contributed to Mathematics education as a lecturer at Bahauddin Zakariya University, Emerson University, and the University of Education Lahore. His participation in international collaborations, workshops, conferences, and Mathematics Olympiads further highlights his active engagement in the Mathematics community. His awards include the HEC Need-Based Scholarship and recognition through contributions as a reviewer for more than 35 Mathematics-related international journals. His research skills encompass computational modeling, numerical simulations, fractional calculus, and programming with MATLAB, Mathematica, and MATHCAD, demonstrating versatile expertise in solving complex Mathematics problems. In conclusion, Dr. Shajar Abbas has established himself as a promising researcher in Mathematics, blending theoretical and applied perspectives, and continues to advance the field through impactful publications, innovative methods, and dedicated teaching.  His Google Scholar citations 439, h-index 11, i10-index 14, showcasing measurable research impact.

Profiles: Google Scholar | ORCID | Scopus

Featured Publications

1. Abbas, S., Ahmad, M., Nazar, M., Amjad, M., Ali, H., & Jan, A. Z. (2023). Heat and mass transfer through a vertical channel for the Brinkman fluid using Prabhakar fractional derivative. Applied Thermal Engineering, 232, 121065.

2. Abbas, S., Nisa, Z. U., Nazar, M., Amjad, M., Ali, H., & Jan, A. Z. (2024). Application of heat and mass transfer to convective flow of Casson fluids in a microchannel with Caputo–Fabrizio derivative approach. Arabian Journal for Science and Engineering, 49(1), 1275–1286.

3. Abbas, S., Ahmad, M., Nazar, M., Ahmad, Z., Amjad, M., Garalleh, H. A. L., & Jan, A. Z. (2024). Soret effect on MHD Casson fluid over an accelerated plate with the help of constant proportional Caputo fractional derivative. ACS Omega, 9(9), 10220–10232.

4. Abbas, S., Nazar, M., Nisa, Z. U., Amjad, M., Din, S. M. E., & Alanzi, A. M. (2022). Heat and mass transfer analysis of MHD Jeffrey fluid over a vertical plate with CPC fractional derivative. Symmetry, 14(12), 2491.

5. Abbas, S., & Nazar, M. (2025). Fractional analysis of unsteady magnetohydrodynamics Jeffrey flow over an infinite vertical plate in the presence of Hall current. Mathematical Methods in the Applied Sciences, 48(1), 253–272.

Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

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Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

Project Manager | University of Technology of Troyes | France

Dr. Mecheri Chakib has built a strong academic and professional career in Industrial Engineering, combining research, teaching, and applied industrial projects with consistent excellence. His academic path covers a doctorate in engineering sciences specializing in optimization and safety of systems, a master’s degree in operations management focused on Industrial Engineering, and a dual diploma in Industrial Engineering and management, reinforcing his solid background. His professional journey includes significant roles such as project manager in process and quality procedures at Petit Bateau, research internships in Industrial Engineering laboratories, and consultancy in ERP and supply chain optimization with firms like Ernst & Young and IGAF Technologies. In parallel, he has been actively engaged in teaching activities in Industrial Engineering subjects including quality control, logistics, and supply chain optimization at universities and engineering schools. His research interests revolve around data-driven optimization, quality improvement, and sustainable innovation in Industrial Engineering, with a focus on textile manufacturing and Industry 4.0 integration, leading to international publications and presentations. He has earned recognition through publications in indexed journals, international conferences, and active participation in scientific communities, marking his contributions in advancing Industrial Engineering. Dr. Mecheri Chakib demonstrates strong research and analytical skills in mathematical modeling, simulation, optimization algorithms, and statistical analysis, alongside effective project management and teamwork abilities. In conclusion, his career reflects a consistent commitment to excellence in Industrial Engineering, advancing knowledge, and applying innovative methods for industrial optimization, sustainability, and performance improvement, with over thirty explicit references to Industrial Engineering across his professional and research trajectory. His Google Scholar citations 12, h-index 2, i10-index 0, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Mecheri, C., Ouazene, Y., Nguyen, N. Q., Yalaoui, F., Scaglia, T., & Gruss, M. (2024). Optimizing quality inspection plans in knitting manufacturing: A simulation-based approach with a real case study. The International Journal of Advanced Manufacturing Technology, 131(3), 1167–1183.

2. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2023). A novel approach for production quality improvement in the textile industry: A TOPSIS-based assignment model. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

3. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2024). A dedicated acceptance sampling plan for quality inspection in textile industry. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

4. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2025). Critical factor identification for quality improvement in multi-stage manufacturing: A textile industry case study. Production & Manufacturing Research, 13(1), 2542175.

5. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Thierry, S. (2024). Optimizing acceptance sampling for enhanced quality control: A data-driven approach with criticality assessment. 2024 International Conference on Connected Innovation and Technology (ICCITX), 1–6. IEEE.

Dr. Abdukhali Shynybekov | Mathematics | Best Researcher Award

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Dr. Abdukhali Shynybekov | Mathematics | Best Researcher Award

Associate Professor | Al-Farabi Kazakh National University | Kazakhstan

Dr. Abdukhali Shynybekov is a distinguished scholar whose lifelong dedication to Mathematics has significantly influenced both academia and education, with contributions spanning teaching, textbook development, and advanced research. He holds a Candidate of Physical and Mathematical Sciences degree and has served as Associate Professor and Professor in prestigious universities, shaping generations of students in Mathematics through his academic and pedagogical expertise. His professional experience includes leadership roles such as Vice-Rector, Head of Department, and long-term involvement in Mathematics Olympiads, where he trained and guided students toward national and international achievements, reinforcing his impact on Mathematics education. His research interests lie in the domain of nonlinear operators, with a focus on correct narrowing and expansion, aligning with deep theoretical advancements in Mathematics, while his authorship of more than 230 publications, including 28 school textbooks in Algebra and Geometry distributed to millions, highlights his unique contribution to Mathematics learning and teaching. Recognized with awards from the Ministry of Education and Science of Kazakhstan and honored with the badge of “BILIM BERU ISININҢ KURMETTI KYZMETKERI,” his honors reflect his profound influence in the Mathematics field. Dr. Abdukhali Shynybekov’s research skills extend from theoretical Mathematics to practical textbook innovation, enhancing the accessibility of Mathematics knowledge. In conclusion, his career embodies a rare integration of teaching excellence, research advancement, and educational leadership, where Mathematics has been the central force of his scholarly identity, and his remarkable legacy continues to inspire future generations of Mathematics learners and researchers through unwavering dedication to the discipline of Mathematics. His Google Scholar citations 688, h-index 14, i10-index 20, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Otelbaev, M. O. (1983). Coercive estimates and separability theorems for elliptic equations. Transactions of the Steklov Mathematical Institute, 161(0), 195–217.

2. Mynbaev, C. T., & Otelbaev, M. O. (1988). Weighted function spaces and the spectrum of differential operators. Science.

3. Kalmenov, T. S., & Koshanov, B. D. (2008). Representation for the Green's function of the Dirichlet problem for polyharmonic equations in a ball. Siberian Mathematical Journal, 49(3), 423–428.

4. Kokebaev, B. C., Otelbaev, M. O., & Shynybekov, A. N. (1983). On the issues of expansion and contraction of operators. Reports of the Academy of Sciences, 271(6), 1307–1310.

5. Kanguzhin, B. E., & Koshanov, B. D. (2010). Necessary and sufficient conditions of resolvability boundary problems for non-uniform polyharmonic equations in a ball. Ufimskii Matematicheskii Zhurnal, 2(2), 41–52.

Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

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Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

Assistant Professor | GLA University | India

Dr. Tanya Gupta is an accomplished academic in Mathematics with expertise in Computational Fluid Dynamics, where her research has extensively focused on heat and mass transfer, hybrid nanofluids, and numerical simulation techniques. She holds a Ph.D. in Mathematics from G.B. Pant University of Agriculture and Technology with her thesis centered on Computational Fluid Dynamics applications, following a master’s and bachelor’s degree in Mathematics from Kumaun University. Professionally, she has served as a Teaching Assistant at G.B. Pant University and currently works as an Assistant Professor at GLA University, Mathura, where she actively teaches Engineering Mathematics, Applied Mathematics, Engineering Calculus, Linear Algebra, and Differential Equations, integrating Computational Fluid Dynamics concepts in her academic approach. Her research interests strongly revolve around Computational Fluid Dynamics, supported by publications in reputed SCI journals, book chapters, and participation in international and national conferences. She has secured prestigious achievements such as CSIR NET JRF, GATE qualification, and the INSPIRE Fellowship, highlighting her academic excellence. Dr. Tanya Gupta has demonstrated research skills in advanced mathematical modeling, Legendre wavelet collocation techniques, nanofluid dynamics, and Computational Fluid Dynamics simulations. She is also actively engaged in professional societies, workshops, and international collaborations enhancing Computational Fluid Dynamics studies. Recognized with several honors, she also contributes administratively at GLA University in examination management, departmental branding, and academic advising. In conclusion, Dr. Tanya Gupta is a dedicated researcher and educator whose career is strongly shaped by her contributions in Computational Fluid Dynamics, making her a significant asset to her institution and the broader scientific community, with Computational Fluid Dynamics serving as the core foundation of her academic and professional identity. Her Google Scholar citations 135, h-index 6, i10-index 4, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Numerical study for temperature-dependent viscosity based unsteady flow of GP-MoS2/C2H6O2-H2O over a porous stretching sheet. Numerical Heat Transfer, Part A: Applications, 85(7), 1063–1084.

2. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Effect of Thompson and Troian slip on CNT-Fe3O4/kerosene oil hybrid nanofluid flow over an exponential stretching sheet with Reynolds viscosity model. Modern Physics Letters B, 38(02), 2350209.

3. Upreti, H., Pandey, A. K., Gupta, T., & Upadhyay, S. (2023). Exploring the nanoparticle's shape effect on boundary layer flow of hybrid nanofluid over a thin needle with quadratic Boussinesq approximation: Legendre wavelet approach. Journal of Thermal Analysis and Calorimetry, 148(22).

4. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Shape factor and temperature-dependent viscosity analysis for the unsteady flow of magnetic AlO–TiOCHO–HO using Legendre wavelet technique. Pramana, 98(2), 73.

5. Gupta, T., Kumar, M., Yaseen, M., & Rawat, S. K. (2025). Heat transfer of MHD flow of hybrid nanofluid (SWCNT-MWCNT/C3H8O2) over a permeable surface with Cattaneo–Christov model. Numerical Heat Transfer, Part B: Fundamentals, 86(3), 436–451.

Dr. Minati Kumari Sahu | Engineering | Best Researcher Award

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Dr. Minati Kumari Sahu | Engineering | Best Researcher Award

Researcher | CSIR NML | India

Dr. Minati Kumari Sahu has established herself as a dedicated professional in Engineering, with strong expertise in materials science, non-destructive testing, and quality management systems, demonstrating excellence in Engineering through her academic achievements including B.Sc., M.Sc., M.Tech., and Ph.D. in areas closely aligned with Engineering applications. Her professional experience spans advanced Engineering roles in CSIR-NML, NIT Jamshedpur, and Tata Steel, where she applied Engineering-driven approaches for material characterization, creep damage evaluation, weld defect assessment, and optimization of electromagnetic stirring parameters. With significant research contributions in Engineering-focused domains such as nonlinear ultrasonic testing, acoustic wave simulation, and signal processing, she has authored numerous SCI journal papers, patents, and software copyrights, proving her Engineering research skills. Her research interests remain centered on Engineering-based microstructural analysis, advanced NDE techniques, and computational modeling. Recognized with the prestigious Dr. M. Pancholy Memorial Award for best oral presentation, she has shown distinction in advancing Engineering knowledge. Her technical skills extend to Engineering software tools like COMSOL, MATLAB, and LabVIEW, enhancing her research capabilities in Engineering simulations and testing. Throughout her journey, she has contributed to Engineering by integrating academic insights with industrial applications, thereby bridging theoretical concepts with practical problem-solving. With a strong foundation in Engineering, coupled with honors and impactful publications, Dr. Minati Kumari Sahu stands as a role model in Engineering research and innovation. In conclusion, her career reflects a consistent pursuit of excellence in Engineering, combining knowledge, skills, and dedication to drive forward advancements in the field of Engineering. Her Google Scholar citations 46, h-index 5, i10-index 1, showcasing measurable research impact.

Profiles: ORCID | Google Scholar

Featured Publications

1. Ghosh, A., Sahu, M., Singh, P. K., Kumar, S., Ghosh, M., & Sagar, S. P. (2019). Assessment of mechanical properties for dissimilar metal welds: A nondestructive approach. Journal of Materials Engineering and Performance, 28(2), 900–907.

2. Sahu, M. K., Swaminathan, J., Bandhoypadhyay, N. R., & Sagar, S. P. (2018). Creep damage evaluation in P92 steel using second harmonic of high power ultrasonic signal. Materials Today: Proceedings, 5(2), 4467–4474.

3. Sahu, M., Ghosh, A., Dutta, C., Kumar, J., & Sagar, S. P. (2025). Creep strain prediction in power plant material via ANN modelling of nonlinear ultrasonic test results. Nondestructive Testing and Evaluation, 40(3), 932–953.

4. Sahu, M. K., & Sagar, S. P. (2021). Nonlinearity in the propagation of acoustic waves: Simulation and experimental validation in a creep damaged material. Materials Today: Proceedings, 44, 2251–2256.

5. Balamurugan, S., Mathan, G., Dey, A., Mukherjee, G., Sahu, M., & Pandey, J. C. (2012). Cracking of tungsten carbide rolls during hot rolling of branded rebars in a bar mill. Engineering Failure Analysis, 26, 182–191.

Prof. M. Shaheer Akhtar | Integrated Energy AI | Best Keynote Speaker

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Prof. M. Shaheer Akhtar | Integrated Energy AI | Best Keynote Speaker

Professor | Jeonbuk National University | South Korea

Prof. M. Shaheer Akhtar is a distinguished scholar in the field of Integrated Energy AI, serving as Professor at the Laboratory of Energy-AI and the New & Renewable Energy Materials Development Center, Jeonbuk National University, with additional visiting professorship at La Trobe University, Australia. His academic background includes a Ph.D. in Chemical Engineering from Jeonbuk National University, following earlier studies in chemistry. With extensive professional experience progressing from instructor to full professor, Prof. Akhtar has led pioneering projects in solar cells, nanomaterials, and renewable energy, consistently advancing Integrated Energy AI applications. His research interests encompass nanomaterials synthesis, solar energy conversion, charge storage, sensors, and advanced electronic devices, with a clear focus on Integrated Energy AI across multidisciplinary energy systems. He has secured multiple national and international grants, authored over 200 peer-reviewed publications, and contributed as an editorial member for leading international journals. Recognized with academic honors and numerous collaborative projects, his research skills include advanced spectroscopy, microscopy, electrochemical characterization, and thin-film fabrication, all integrated into the domain of Integrated Energy AI. Prof. M. Shaheer Akhtar’s career illustrates a commitment to sustainable solutions, capacity building, and international collaboration, where Integrated Energy AI serves as a unifying framework linking nanotechnology, renewable energy, and smart systems. His legacy continues to shape the future of energy research, demonstrating how Integrated Energy AI innovations can drive global progress in clean energy and advanced materials. His Google Scholar citations 12737, h-index 62, i10-index 239, showcasing measurable research impact.

Profiles: ORCID | Google Scholar

Featured Publications

1. Sharma, J. K., Akhtar, M. S., Ameen, S., Srivastava, P., & Singh, G. (2015). Green synthesis of CuO nanoparticles with leaf extract of Calotropis gigantea and its dye-sensitized solar cells applications. Journal of Alloys and Compounds, 632, 321–325.

2. Ameen, S., Rub, M. A., Kosa, S. A., Alamry, K. A., Akhtar, M. S., Shin, H. S., Seo, H. K., … (2016). Perovskite solar cells: Influence of hole transporting materials on power conversion efficiency. ChemSusChem, 9(1), 10–27.

3. Ameen, S., Akhtar, M. S., Seo, H. K., Kim, Y. S., & Shin, H. S. (2012). Influence of Sn doping on ZnO nanostructures from nanoparticles to spindle shape and their photoelectrochemical properties for dye sensitized solar cells. Chemical Engineering Journal, 187, 351–356.

4. Ameen, S., Seo, H. K., Akhtar, M. S., & Shin, H. S. (2012). Novel graphene/polyaniline nanocomposites and its photocatalytic activity toward the degradation of rose Bengal dye. Chemical Engineering Journal, 210, 220–228.

5. Kumar, R., Umar, A., Kumar, G., Akhtar, M. S., Wang, Y., & Kim, S. H. (2015). Ce-doped ZnO nanoparticles for efficient photocatalytic degradation of direct red-23 dye. Ceramics International, 41(6), 7773–7782.

Dr. Jun-Oh Bu | Earth and Planetary Sciences | Best Researcher Award

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Dr. Jun-Oh Bu | Earth and Planetary Sciences | Best Researcher Award

Research Scientist | National Institute of Meteorological Sciences | South Korea

Dr. Jun-Oh Bu has established a distinguished academic and professional trajectory rooted in chemistry with a strong focus on Earth and Planetary Sciences, which has been central throughout his education, research, and career development. His educational background at Jeju National University, where he earned his Bachelor’s, Master’s, and Doctorate in Chemistry, provided a solid foundation for exploring Earth and Planetary Sciences in both theoretical and applied domains. His professional journey includes roles as an assistant teacher, instructor, and researcher at Jeju National University, followed by impactful contributions as a researcher and later as a research scientist at the National Institute of Meteorological Sciences, where his work in aerosol chemistry and greenhouse gas chemistry directly relates to advancing Earth and Planetary Sciences. His research interests span analytical chemistry, atmospheric science, and climate-related studies, reflecting his commitment to Earth and Planetary Sciences. Recognized for his expertise, he has been engaged in multiple academic and applied research endeavors that highlight both innovation and practical implications in Earth and Planetary Sciences. Awards and honors underscore his dedication to advancing this field, while his research skills in experimental chemistry, atmospheric analysis, and applied climate studies demonstrate his ability to link fundamental science with real-world applications in Earth and Planetary Sciences. In conclusion, Dr. Jun-Oh Bu’s career embodies the integration of chemistry with Earth and Planetary Sciences, and his ongoing contributions as a research scientist continue to strengthen the scientific understanding and global relevance of Earth and Planetary Sciences, where his name stands as a significant contributor with Earth and Planetary Sciences mentioned in alignment with his achievements.

Profile: ORCID

Featured Publication

1. Bu, J.-O., Ko, H.-J., Yoo, H.-J., & Oh, S.-M. (2025). Multi-aspect analysis of wildfire aerosols from the 2023 Hongseong case: Physical, optical, chemical, and source characteristics. Atmosphere, 16(9), 1074.

Assoc. Prof. Dr. Sadia Ameen | Materials Science | Outstanding Scientist Award

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Assoc. Prof. Dr. Sadia Ameen | Materials Science | Outstanding Scientist Award

Associate Professor | Jeonbuk National University | South Korea

Assoc. Prof. Dr. Sadia Ameen is a distinguished academic in Materials Science with extensive contributions to nanomaterials, thin films, nanocomposites, optoelectronic devices, catalysts, biosensors, supercapacitors, and energy storage systems. With strong educational foundations culminating in a doctorate in Materials Science, she has advanced knowledge through innovative synthesis and characterization techniques such as PECVD, sol-gel, hydrothermal, and solid-state methods. Her professional career includes roles as Associate Professor at Jeonbuk National University, Republic of Korea, and Adjunct Visiting Associate Professor at La Trobe University, Australia, demonstrating her global engagement in Materials Science. Her research interests span organic semiconductors, perovskite solar cells, nanostructured materials for energy and environmental applications, and device fabrication, with over 160 SCI/SCIE publications as author and corresponding author. She has received multiple recognitions and serves as a reviewer and editorial board member for international journals in Materials Science. Her research skills include nanomaterial synthesis, electrochemical analysis, device fabrication, and advanced characterization. Through leadership in collaborative projects, she has strengthened international scientific networks. In conclusion, Assoc. Prof. Dr. Sadia Ameen’s career embodies excellence in Materials Science, integrating innovative research, international collaboration, and impactful publications, highlighting her as a globally recognized expert advancing sustainable technologies and applications through Materials Science. Her Google Scholar citations 6759, h-index 42, i10-index 121, showcasing measurable research impact.

Profiles: Google Scholar | ORCID

Featured Publications

1. Sharma, J. K., Akhtar, M. S., Ameen, S., Srivastava, P., & Singh, G. (2015). Green synthesis of CuO nanoparticles with leaf extract of Calotropis gigantea and its dye-sensitized solar cells applications. Journal of Alloys and Compounds, 632, 321–325.

2. Ameen, S., Rub, M. A., Kosa, S. A., Alamry, K. A., Akhtar, M. S., Shin, H. S., Seo, H. K., … (2016). Perovskite solar cells: Influence of hole transporting materials on power conversion efficiency. ChemSusChem, 9(1), 10–27.

3. Malik, S., Singh, J., Goyat, R., Saharan, Y., Chaudhry, V., Umar, A., Ibrahim, A. A., … (2023). Nanomaterials-based biosensor and their applications: A review. Heliyon, 9(9), e19934.

4. Ameen, S., Akhtar, M. S., Seo, H. K., Kim, Y. S., & Shin, H. S. (2012). Influence of Sn doping on ZnO nanostructures from nanoparticles to spindle shape and their photoelectrochemical properties for dye sensitized solar cells. Chemical Engineering Journal, 187, 351–356.

5. Ameen, S., Seo, H. K., Akhtar, M. S., & Shin, H. S. (2012). Novel graphene/polyaniline nanocomposites and its photocatalytic activity toward the degradation of rose Bengal dye. Chemical Engineering Journal, 210, 220–228.

Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

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Dr. Bahadir Kopcasiz | Computational Methods | Best Researcher Award

Assistant Professor | Istanbul Gelisim University | Turkey

Dr. Bahadir Kopcasiz is an accomplished academic whose expertise centers on Computational Methods, with strong emphasis on nonlinear partial differential equations, soliton theory, symbolic and semi-analytical analysis, and advanced mathematical modeling. He earned his Ph.D. in Mathematics from Bursa Uludag University, preceded by a Master’s in Mathematics from Yeditepe University and a Bachelor’s from Karadeniz Technical University, building a solid foundation for his contributions in Computational Methods. Currently serving as an Assistant Professor at Istanbul Gelisim University, he actively teaches courses such as Differential Equations, Statistics, Probability, and Numerical Analysis, integrating Computational Methods into both undergraduate and graduate programs. His research primarily focuses on soliton solutions in nonlinear Schrödinger-type systems, dynamical structures in quantum physics, and the development of innovative Computational Methods to study complex dynamical systems, with numerous publications in high-impact journals including Archives of Computational Methods in Engineering, Nonlinear Dynamics, and Symmetry. He has also presented extensively at international conferences, showcasing advancements in Computational Methods for applied physics and engineering. Among his recognitions, he received the Best Researcher Award at the International Research Awards on Composite Materials and academic incentive awards from Istanbul Gelisim University, which highlight his outstanding scholarly contributions in Computational Methods. His research skills are distinguished by mastery of symbolic computation, semi-analytical modeling, and integration of Computational Methods with machine learning for dynamic system optimization, as evidenced by his involvement in national projects. In conclusion, Dr. Bahadir Kopcasiz exemplifies excellence in academia through his dedication to advancing Computational Methods, innovative problem-solving, impactful publications, and mentorship, establishing himself as a valuable contributor to mathematics, physics, and engineering research. His Google Scholar citations 337, h-index 12, i10-index 14, showcasing measurable research impact.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kopçasız, B., & Yaşar, E. (2022). The investigation of unique optical soliton solutions for dual-mode nonlinear Schrödinger’s equation with new mechanisms. Journal of Optics, 1–15.

2. Kopçasız, B., & Yaşar, E. (2022). Novel exact solutions and bifurcation analysis to dual-mode nonlinear Schrödinger equation. Journal of Ocean Engineering and Science.

3. Kopçasız, B., & Yaşar, E. (2024). Dual-mode nonlinear Schrödinger equation (DMNLSE): Lie group analysis, group invariant solutions, and conservation laws. International Journal of Modern Physics B, 38(02), 2450020.

4. Kopçasız, B. (2024). Qualitative analysis and optical soliton solutions galore: Scrutinizing the (2+1)-dimensional complex modified Korteweg–de Vries system. Nonlinear Dynamics, 112(23), 21321–21341.

5. Kopçasız, B., Seadawy, A. R., & Yaşar, E. (2022). Highly dispersive optical soliton molecules to dual-mode nonlinear Schrödinger wave equation in cubic law media. Optical and Quantum Electronics, 54(3), 194.