Mrs. Robyn Martin | Social Sciences | Best Researcher Award

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Mrs. Robyn Martin | Social Sciences | Best Researcher Award

Lecturer | The University of Sydney | Australia

Mrs. Robyn Martin is an accomplished academic whose expertise bridges education, innovation, and Social Sciences, with a strong focus on higher education development. Her educational background includes advanced studies in education, management, nutrition, and professional training, complemented by international fellowships and recognition for her academic leadership in Social Sciences. Professionally, she has served in key roles at the University of Sydney, where she designed and coordinated numerous professional development programs, mentored academics, and delivered innovative teaching across Social Sciences and business disciplines. Her research interests center on compassion in higher education, equity, peer learning, and the impact of disruption on teaching, with several publications, presentations, and collaborations in Social Sciences contexts. She has received multiple awards for outstanding teaching, excellence in tutoring, and innovation in pedagogy, reflecting her significant contributions to Social Sciences education. Her research skills include mixed-methods approaches, curriculum innovation, academic development, and interdisciplinary teaching, enabling her to advance impactful projects within Social Sciences. Drawing on both corporate and academic experiences, she has successfully integrated innovative teaching models and supported international educational initiatives. In conclusion, Mrs. Robyn Martin exemplifies excellence in academia through her commitment to transformative educational practices, leadership in Social Sciences, and her ability to inspire educators and students while advancing equity, compassion, and innovation across diverse learning environments in Social Sciences.

Profiles: Google Scholar | ORCID

Featured Publications

1. Cordier, R., Milbourn, B., Martin, R., Buchanan, A., Chung, D., & Speyer, R. (2017). A systematic review evaluating the psychometric properties of measures of social inclusion.

2. Flatau, P., Zaretzky, K., Brady, M., Haigh, Y., & Martin, R. (2008). The cost-effectiveness of homelessness programs: A first assessment. Australian Housing and Urban Research Institute (AHURI).

3. Ridley, S., Martin, R., & Mahboub, L. (2017). Learning from mental health lived experience and the influence on students’ practice. Australian Social Work, 70(3), 372–380.

4. Dorozenko, K. P., Ridley, S., Martin, R., & Mahboub, L. (2019). A journey of embedding mental health lived experience in social work education. In Service user involvement in social work education (pp. 46–58).

5. Martin, R. M., Ridley, S. C., & Gillieatt, S. J. (2017). Family inclusion in mental health services: Reality or rhetoric? International Journal of Social Psychiatry, 63(6), 480–487.

Prof. Dr. Gülay Bulut | Mineral Processing | Women Researcher Award

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Prof. Dr. Gülay Bulut | Mineral Processing | Women Researcher Award

Faculty Member | Istanbul Technical University | Turkey

Prof. Dr. Gülay Bulut is a distinguished academic in Mining Engineering with a specialized focus on Mineral Processing, having earned her B.Sc., M.Sc., and Ph.D. in this discipline at Istanbul Technical University. Her extensive career includes service as Head of the Mineral Processing Engineering Department, ABET Coordinator, Vice Head, and longstanding professor, where she has consistently advanced education and research in Mineral Processing. With experience spanning over two decades, she has actively contributed to the academic and industrial domains through more than 45 scientific and industrial projects, as well as numerous national and international conference participations. Prof. Dr. Gülay Bulut’s research covers flotation, flocculation, beneficiation, recycling, chemical treatment, and mining waste management, making Mineral Processing central to her expertise. She has authored and co-authored many influential journal articles and technical papers that highlight innovative approaches in Mineral Processing. Her awards include recognition from TÜBİTAK for doctoral research abroad, further underlining her international academic contribution. She holds memberships in professional organizations such as the Chamber of Turkish Mining Engineers and the Mineral Processing Society of Turkey. Her research skills are strongly rooted in Mineral Processing applications including experimental design, characterization, and process optimization. Prof. Dr. Gülay Bulut’s career demonstrates a consistent commitment to advancing Mineral Processing, education, and sustainable practices in mining. In conclusion, her professional journey represents an exemplary combination of teaching, leadership, and research innovation in Mineral Processing, where her contributions continue to shape both academic and industrial practices.

Profiles: Google Scholar | ORCID

Featured Publications

1. Güven, Ö., Gülay, B., Alim, G., Olgaç, K., Kudret, P., Tahsin, & Fatma, A. (2005). Flotation of Aladağ oxide lead-zinc ores. Minerals Engineering, 18(3), 279–282.

2. Bulut, G., Yenial, Ü., Emiroğlu, E., & Sirkeci, A. A. (2014). Arsenic removal from aqueous solution using pyrite. Journal of Cleaner Production, 84, 526–532.

3. Bulut, C., Gülay, F., & Esenli, Ç. M. S. (2009). Production of desiccants from Turkish bentonites. Applied Clay Science, 44(1-2), 141–147.

4. Sirkeci, A. A., Gül, A., Bulut, G., Arslan, F., Onal, G., & Yuce, A. E. (2006). Recovery of Co, Ni, and Cu from the tailings of Divrigi iron ore concentrator. Mineral Processing and Extractive Metallurgy Review, 27(2), 131–141.

5. Yenial, Ü., & Bulut, G. (2017). Examination of flotation behavior of metal ions for process water remediation. Journal of Molecular Liquids, 241, 130–135.

Dr. Wenyu Xie | Ethics | Best Researcher Award

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Dr. Wenyu Xie | Ethics | Best Researcher Award

Associate Professor | Shandong University | China

Dr. Wenyu Xie is a distinguished scholar whose academic journey reflects a profound dedication to Philosophy, Religious Studies, and Ethics, with Ethics serving as a central theme that permeates his education, research, publications, and teaching. With advanced degrees in Philosophy and the Philosophy of Religion from prestigious institutions, Dr. Wenyu Xie has built a solid foundation where Ethics has always been emphasized in both Eastern and Western philosophical contexts. His professional experience includes professorships and research fellowships at leading universities across China, North America, and beyond, where Ethics guided his contributions in comparative philosophy, theology, and intercultural dialogue. Dr. Wenyu Xie’s research interests center on Ethics in Confucianism, Christianity, and Western thought, producing significant works on freedom, conscience, truth, and cultural interaction, all framed within an Ethics perspective. He has authored and edited influential books and articles, with Ethics repeatedly anchoring his analysis of liberty, responsibility, and human existence. Recognized with international collaborations and academic honors, Dr. Wenyu Xie demonstrates how Ethics informs his scholarly leadership and contributions to global discourse. His research skills in cross-cultural hermeneutics, comparative philosophy, and historical analysis are consistently marked by a deep concern for Ethics, making his work highly impactful across disciplines. In conclusion, Dr. Wenyu Xie’s career stands as a testament to the vital role of Ethics, repeated and reinforced through his education, professional achievements, publications, and academic influence, where Ethics has been mentioned, applied, and embodied as the core principle of his scholarly legacy. His Scopus Citation 10, Documents 12, h-index 2, showcasing measurable research impact.

Profile: Scopus

Featured Publication

1. (2024). Global ethics: Sentimental education or ideological construction? Journal of Global Ethics.

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.