Ganiyat Salawu | Engineering and Technology | Research Excellence Award

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

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)

400
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Citations
177

Documents
5

h-index
7

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View Goole Scholar Profile

Featured Publications

 

Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

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.

Marius Šumanas | Computer Vision | Best Researcher Award

Assist. Prof. Dr Marius Šumanas | Computer Vision | Best Researcher Award

Vilnius Tech | Lithuania

Dr. Marius Šumanas is an Associate Professor in the Department of Mechatronics, Robotics, and Digital Manufacturing at Vilnius Gediminas Technical University (VILNIUS TECH).  His research interests encompass robotics, machine learning, and digital manufacturing. Dr. Šumanas has authored several publications, including a study on improving positioning accuracy of articulated robots using deep Q-learning algorithms. He has also participated in various conferences, presenting topics related to machine learning applications in robotics. In addition to his academic roles, Dr. Šumanas has practical experience in the industry. Since 2018, he has been working as a Process Engineer and ERP Systems Business Analyst at MB Pramones algoritmas. He has also held positions in marketing and sales management in previous years. Dr. Šumanas’ work bridges the gap between theoretical research and practical application, contributing to advancements in robotics and digital manufacturing.

Profile : Orcid

Featured Publications

Andrijauskas, I., Šumanas, M., Dzedzickis, A., Tanaś, W., & Bučinskas, V. (2025). Computer vision-based optical odometry sensors: A comparative study of classical tracking methods for non-contact surface measurement. Sensors.

Šumanas, M., Treciokaite, V., Čerškus, A., Dzedzickis, A., Bučinskas, V., & Morkvenaite-Vilkonciene, I. (2022). Sitting posture monitoring using Velostat based pressure sensors matrix. In Smart Sensor Systems (pp. 1–12). Springer.

Bučinskas, V., Dzedzickis, A., Šumanas, M., Sutinys, E., Petkevicius, S., Butkiene, J., Virzonis, D., & Morkvenaite-Vilkonciene, I. (2022). Improving industrial robot positioning accuracy to the microscale using machine learning method. Machines, 10(10), 940.

Šumanas, M., Urbonis, D., Petronis, A., Stankaitis, S., Januškevičius, T., Iljin, I., & Dzedzickis, A. (2021). Evaluation of motion characteristics using absolute sensors. In Advances in Mechatronics and Intelligent Robotics (pp. 1–12). Springer.

Šumanas, M., Petronis, A., Urbonis, D., Januskevicius, T., Rasimavicius, T., Morkvenaite-Vilkonciene, I., Dzedzickis, A., & Bučinskas, V. (2021, April 22). Determination of excavator tool position using absolute sensors. In 2021 Open Conference of Electrical, Electronic and Information Sciences (eStream). IEEE.

Hongchao Qiao | Laser Machining Technology | Best Researcher Award

Prof. Hongchao Qiao | Laser Machining Technology | Best Researcher Award 

Professor, Shenyang Institute of Automation, China

Prof. Hongchao Qiao is a distinguished expert in laser processing technologies and currently serves as a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences 🇨🇳. He received his B.Eng. and M.Eng. degrees from Dalian University of Technology 🎓. Since joining SIA, his work has focused on water jet guided laser (WJGL) and laser shock peening technologies. With over 100 publications in SCI-indexed journals and 24 invention patents, he has contributed significantly to the field of precision machining. Prof. Qiao is a member of the Youth Innovation Promotion Association of the CAS and is recognized under the “Hundred, Thousand, Ten Thousand Talents Program” in Liaoning Province 🏅. His pioneering studies on composite material removal mechanisms and real-time efficiency evaluation using spectroscopy are highly impactful. He continues to lead innovative projects while mentoring young researchers and collaborating on industrial applications across China.

Professional Profile

📘 Education 

Prof. Hongchao Qiao pursued both his Bachelor of Engineering and Master of Engineering Science degrees at Dalian University of Technology 🏫, a premier institution in China. His academic training laid a strong foundation in mechanical engineering and precision manufacturing, particularly focusing on laser-material interactions and advanced machining technologies. During his academic career, Prof. Qiao demonstrated a keen interest in interdisciplinary learning, integrating knowledge from fluid mechanics, optics, and materials science. This academic pathway directly influenced his post-graduate research direction, especially in the realm of laser-based surface and structural modification techniques. His education was marked by early exposure to research practices, leading to contributions in scientific articles even before his professional career formally began. The rigorous academic environment and mentorship at Dalian University provided Prof. Qiao with both technical depth and a spirit of innovation, which continue to guide his contributions to research and industry today.

🛠️ Experience 

After completing his postgraduate studies, Prof. Hongchao Qiao joined the Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, where he embarked on groundbreaking research in laser processing technologies 🔬. Over the years, he has played a pivotal role in over 27 research projects, including 21 completed and 6 ongoing studies. He has led investigations into water jet guided laser machining, laser shock peening, and hybrid thermal-mechanical processing techniques. His work involves both theoretical and experimental components, contributing to cutting-edge innovations in advanced manufacturing 🏭. Prof. Qiao also collaborates with industries, having successfully contributed to 11 consultancy/industry projects. His practical knowledge extends to system development, laser-fluid coupling, and spectroscopic analysis. Beyond research, he actively mentors graduate students and junior researchers, and engages in scientific collaboration across institutions. His experience spans academia, innovation, and applied engineering, making him a key figure in China’s laser-based smart manufacturing ecosystem.

🔬 Research Focus 

Prof. Qiao’s research is centered on laser processing technologies, with a special focus on Water Jet Guided Laser (WJGL) machining and Laser Shock Peening (LSP) 💡. He proposed the double coaxial gas-assisted WJGL machining method, significantly improving the processing of difficult-to-cut materials such as carbon/silicon carbide fiber composites, superalloys, and silicon carbide 🔧. His research dives deep into material removal mechanisms, integrating effects of laser thermal input, forced water jet cooling, detonation wave shear, and plasma formation 🌊🔥. He is known for his discovery of plasma-induced detonation during WJGL and developed a real-time spectroscopic method for evaluating material removal efficiency. Prof. Qiao’s work combines mechanics, optics, and fluid dynamics, leading to high-precision, damage-minimized material processing. These innovations have not only advanced theoretical understanding but also have substantial industrial relevance. His future focus includes further enhancement of laser-fluid interaction models and development of intelligent machining systems.

Publication Top Notes 

📄  A spectroscopic real-time characterization method of material removal efficiency in water jet guided laser machining technology

Authors: Zhihe Cao, Hongchao Qiao, Shunshan Wang, Jibin Zhao
Journal: Optics and Laser Technology
Citations: 0
Summary:
This study introduces a spectroscopic real-time monitoring technique to evaluate material removal efficiency during water jet guided laser (WJGL) machining. By analyzing the emission spectra generated in real-time, the method allows dynamic assessment of material ablation quality and machining performance. This innovation offers improved control and precision in laser processing of hard-to-machine materials, enhancing process automation and optimization.

📄  Numerical and experimental study on the stability of water-beam fiber in double coaxial gas-assisted water jet guided laser machining

Authors: Yuting Zhang, Hongchao Qiao, Jibin Zhao, Jinsheng Liang, Qing Zhang
Journal: Optics and Laser Technology
Citations: 0
Summary:
The paper presents both numerical simulations and experiments exploring the stability of the laser beam in water jet guided laser machining using a double coaxial gas-assist mechanism. The study analyzes how gas flow configurations affect the water column and laser delivery, contributing to enhanced machining precision and process reliability in complex industrial applications.

📄  Laser Shock Processing Mechanism and Its Applications in Aeronautical Components

Authors: Xiaodie Cao, Yinghua Li, Yuqi Yang, Hongchao Qiao, Yongjie Zhao
Type: Review Article
Citations: 0
Summary:
This review elaborates on the mechanisms of laser shock processing (LSP) and its practical applications in aeronautical components. It covers theoretical foundations, process parameters, residual stress generation, and microstructure enhancement. The study highlights LSP’s effectiveness in improving fatigue life and resistance to stress corrosion cracking in aerospace alloys.

📄 Numerical and experimental study on water jet-guided laser machining of closed-loop groove

Authors: Jinsheng Liang, Hongchao Qiao, Jibin Zhao, Shunshan Wang, Yuting Zhang
Journal: International Journal of Advanced Manufacturing Technology
Citations: 0
Summary:
This paper investigates the machining of closed-loop grooves using water jet-guided laser technology. By combining simulation models and experimental data, it analyzes groove shape, surface quality, and material removal mechanisms. Results demonstrate that the WJGL method offers high precision and reduced thermal damage for advanced manufacturing of intricate features.

📄  Simulation and experimental study on double staggered-axis air-assisted water jet-guided laser film cooling hole machining

Authors: Jinsheng Liang, Hongchao Qiao, Jibin Zhao, Yuting Zhang, Qing Zhang
Journal: Optics and Laser Technology
Citations: 1
Summary:
The study develops a novel configuration of air-assisted WJGL machining using double staggered-axis for film cooling hole creation, crucial in turbine blades. Simulations coupled with experiments show improved hole quality and directional control, providing a pathway for more efficient cooling systems in aeroengine components.

🔬 Conclusion

Professor Hongchao Qiao exemplifies excellence in scientific innovation, with pioneering contributions in laser machining technologies. His inventive method such as the double coaxial gas-assisted water jet guided laser technique—have significantly advanced material processing of complex composites. With over 100 research publications, 24 patents, and numerous completed projects, his work has made a lasting impact on both academia and industry. Recognized through prestigious programs like the “Hundred, Thousand, Ten Thousand Talents Program” and as a member of the Youth Innovation Promotion Association of CAS, Professor Qiao continues to lead with vision and dedication. His nomination for the Best Researcher Award is a well-deserved recognition of his sustained commitment to cutting-edge research, impactful innovations, and academic leadership.