Ganiyat Salawu | Engineering and Technology | Research Excellence Award

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Dr. Ganiyat Salawu | Engineering and Technology | Research Excellence Award

University of KwaZulu-Natal,Durban | South Africa

Dr. Ganiyat Abiodun Salawu is a mechanical and mechatronics engineer and researcher with strong expertise in advanced manufacturing systems, robotics, renewable energy technologies, and intelligent engineering solutions. She holds a PhD in Mechanical Engineering (Mechatronics and Robotics) from the University of KwaZulu-Natal, South Africa, following earlier degrees in mechanical engineering and education from Nigerian institutions. Her academic and professional career spans lecturing, postgraduate supervision, research coordination, and postdoctoral research, with extensive experience in both university and polytechnic systems. Her research interests focus on disruptive manufacturing technologies, IoT-based systems, renewable energy optimization, smart automation, tribology, composite materials, and sustainable engineering design. Dr. Salawu has authored over 20 peer-reviewed journal and conference publications, with an approximate h-index of 3, and over 20 cumulative citations based on available scholarly records. She has received multiple competitive research grants, including TETFund institutional and doctoral awards, and was honored with an Award of Excellence as Best Researcher by the University of KwaZulu-Natal. Through impactful research, supervision, and innovation-driven teaching, she continues to contribute significantly to engineering education, sustainable technology development, and applied industrial research in Africa and beyond.

Citation Metrics (Scopus)

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Featured Publications

Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A. (2025).
Production and Mechanical Evaluation of Bio-Composite Materials from Coconut, Palm Kernel and Periwinkle Shells as an Alternative to Grinding Wheel Production.

International Journal of Applied and Advanced Engineering Research, Vol. 8, No. 5, 2025

Jimoh A.A.; Iromini N.A.; Oladuntoye Q.O.; Ajiteru S.O.; Salawu G.A. (2024).
Design and Deployment of an Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, 2024

Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A.; Afolabi A.A. (2025).
Investigating the Mechanical Performance of Offshore Wind Turbine Towers Using Finite Element Analysis for Sustainable Renewable Energy.

Journal of Engineering, Logical and Modelling Research, 2025

Investigation of Technical Feasibility and Efficiency of Wi-Fi Based Internet of Things Remote Monitoring and Control of Home Appliances.

International Journal of Science Research and Technology, Vol. 6, No. 9, pp. 121–135, 2024

Design and Development of Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, pp. 66–75, 2024

Amir Hossein akbari | Engineering and Technology | Research Excellence Award

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Dr. Amir Hossein akbari | Engineering and Technology | Research Excellence Award

Iran University of Science and Technology | Iran

Amir Hosein Akbari is an accomplished researcher in industrial engineering with a strong record of scholarly impact his academic background is grounded in advanced industrial engineering education, complemented by progressive research experience spanning optimization, decision sciences, and intelligent systems. His professional experience includes active involvement in high-quality research collaborations and contributions to applied and theoretical studies addressing complex industrial and societal problems. His core research interests focus on supply chain management, optimization, meta-heuristic and evolutionary algorithms, scheduling, decision support systems, and artificial intelligence–driven industrial applications, with several influential works in expert systems, soft computing, and manufacturing systems. His publications have appeared in high-impact venues such as Expert Systems with Applications, Soft Computing, and Neural Computing and Applications, reflecting both methodological rigor and practical relevance. Recognition of his work is demonstrated through strong citation performance and collaborations with well-established scholars in operations research and industrial engineering. Overall, his research portfolio highlights a consistent commitment to advancing intelligent optimization methods and decision-making frameworks, contributing valuable insights to academia and industry while strengthening the scientific foundations of modern industrial engineering.

Citation Metrics (Google Scholar)

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Citations
177

Documents
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Featured Publications

 

Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

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Assoc. Prof. Dr. Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

Technical University of Cluj-Napoca | Romania

Assoc. Prof. Dr. Eng. Florin Popișter is an accomplished researcher and academic in industrial engineering, mechanical design, and robotics. He earned his Ph.D. in Industrial Engineering from the Technical University of Cluj-Napoca, where he currently serves as an Associate Professor, contributing to teaching, research, and supervision in areas such as CAD/CAM systems, industrial robots, reverse engineering, and advanced manufacturing. His professional experience spans both academia and industry, including significant contributions as a design engineer at Gühring Romania, where he developed customized PCD/PCBN tools for the automotive sector. His research includes 3D printing technologies, robotic mechanisms, toolpath generation, workspace optimization, and digital manufacturing, with multiple Q1 journal publications in Polymers, Applied Sciences, and Mathematics. He has led and contributed to national and international research contracts, including H2020 Smart2 and projects focused on automation systems for the pharmaceutical industry. His achievements include a Best Paper Award, participation in Prototypes for Humanity, and invited professorships in Europe. His work continues to advance intelligent manufacturing, Industry 4.0 applications, and smart robotic systems.

Profile : Orcid

Featured Publications

Popescu, D., Dragomir, D., Popișter, F., & Dragomir, M. (2025). AI alignment to enhance production processes performance and resilience. In Book chapter. Springer.

Dragomir, M., Apolțan, D., Cioșan, A., & Popișter, F. (2025). Assessing the potential of emerging digital technologies to transform the production sector. Annals of the Academy of Romanian Scientists Series on Economy, Law and Sociology.

Popișter, F., Ciudin, P., Dragomir, M., & Goia, H. Ș. (2025). From assistive to intelligent: The development of a low-cost smart crutch system. In Book chapter. Springer.

Popișter, F. (2025). Experimental study of comprehensive performance analysis regarding the dynamical/mechanical aspects of 3D-printed UAV propellers and sound footprint. Polymers, 17(11), 1466.

Popișter, F., Goia, H. Ș., & Ciudin, P. (2025). Influence of polymers surface roughness on noise emissions in 3D-printed UAV propellers. Polymers, 17(8), 1015.

Leo Miguel González | Mechanical Engineering | Excellence in Research Award

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Prof. Dr. Leo Miguel González | Mechanical Engineering | Excellence in Research Award

Universidad Politécnica de Madrid | Spain

Leo Miguel González is a distinguished Professor Titular at the Universidad Politécnica de Madrid, specializing in numerical methods in engineering, fluid mechanics, the Navier–Stokes equations, and fluid–structure interaction. With a strong academic foundation that includes degrees in Industrial Engineering, Physics, and a PhD in Engineering from the UPM, he has built a solid career spanning more than two decades in research and university teaching. His experience includes academic roles at Universidad Pontificia Comillas and later progressive appointments at UPM, where he achieved accreditation as Catedrático by ANECA and has obtained three research sexenios. González has contributed to major European and national R&D projects, including SLOWD , FOWTDAMP (Plan Nacional), and IMAGE, collaborating with leading institutions such as Airbus, CNR-INSEAN, and the University of Bristol. His research outputs include patents such as Visitando nuestra ciencia and FEMICAI, reflecting his commitment to innovation. His publication record, citation impact, and h-index are documented in international bibliographic databases such as Scopus and Web of Science. His work continues to advance aerospace propulsion, fluid mechanics, and computational modeling, reinforcing his reputation as a key contributor to European engineering research.

Profile : Google Scholar

Featured Publications

Macia, F., Antuono, M., González, L. M., & Colagrossi, A. (2011). Theoretical analysis of the no-slip boundary condition enforcement in SPH methods. Progress of Theoretical Physics, 125(6), 1091–1121.

Huera-Huarte, F. J., Bangash, Z. A., & González, L. M. (2014). Towing tank experiments on the vortex-induced vibrations of low mass ratio long flexible cylinders. Journal of Fluids and Structures, 48, 81–92.

Azcona, J., Munduate, X., González, L., & Nygaard, T. A. (2017). Experimental validation of a dynamic mooring lines code with tension and motion measurements of a submerged chain. Ocean Engineering, 129, 415–427.

Souto-Iglesias, A., Macià, F., González, L. M., & Cercos-Pita, J. L. (2013). On the consistency of MPS. Computer Physics Communications, 184(3), 732–745.

Huera-Huarte, F. J., Bangash, Z. A., & González, L. M. (2016). Multi-mode vortex and wake-induced vibrations of a flexible cylinder in tandem arrangement. Journal of Fluids and Structures, 66, 571–588.

Sravya Yelamanchili | Industrial Engineering | Industrial Engineering Award

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Mrs. Sravya Yelamanchili | Industrial Engineering | Industrial Engineering Award

Juniper Elbow Co. Inc | United States

Mrs. Sravya Yelamanchili is an Industrial and Mechanical Engineer with over a decade of hands-on experience in advanced manufacturing especially in the naval and marine systems domain where she has engineered high-integrity marine closures such as watertight, airtight, and ballistic hatches, doors, and scuttles.  Her professional journey includes roles such as Methods Engineer and Engineering Manager, during which she designed detailed assembly protocols, developed configurable BOM frameworks, led ERP (MACOLA, Syteline) migrations, instituted SOPs, and drove continuous improvement programs using lean and Six Sigma principles. Her certifications include Six Sigma Green Belt and NDT Level II (Visual Testing). Her research work spans surface roughness modeling robotics in welding, and process parameter optimization. She has authored peer-reviewed publications and is cited in international journals; her current h-index is [h-index value, 4 with approximately citation count, 115 total citations. She has been recognized for technical leadership and Gold Medal achievement in her undergraduate degree. With deep expertise in process standardization, lean transformation, and engineering leadership, she continues to drive innovation in marine manufacturing, with particular interest in improving first-pass yield, reducing production lead times, and integrating advanced tooling and robotics to raise quality and throughput.

Profile : Orcid

Featured Publications

Yelamanchili, S. (2025, September 22). Use of additive technologies for the accelerated production of spare parts for marine hatches. International Journal of Science and Research.

Yelamanchili, S. (2025, September 10). Assessing the impact of robotic welding on the productivity of watertight-door manufacturing. International Journal of Scientific Engineering and Science.

Yelamanchili, S., Prasad, M. V. R. D., & Tejaswi, K. S. (2014, November 10). Study of the influence of process parameters on surface roughness when Inconel 718 is dry turned using CBN cutting tool by artificial neural network approach. International Journal of Materials, Mechanics and Manufacturing.