Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

Mr. Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

King Fahd University of Petroleum and Minerals | Saudi Arabia

Ibrahim Khalil Kabir is a control and robotics researcher working at the intersection of control theory and artificial intelligence, with a strong focus on learning-based robotics, socially aware navigation, and human–robot interaction. He holds an MSc in Systems and Control Engineering and a BEng in Mechatronics Engineering, with a solid academic record and advanced training in autonomous systems. His research experience spans graduate teaching and research assistantships, where he contributed to robot path planning, navigation, and hands-on laboratory instruction using real robotic platforms. His scholarly output includes peer-reviewed journal and conference publications covering UAV control, mobile robot navigation, deep reinforcement learning, and socially aware robotic systems. According to Google Scholar, his research profile reflects an emerging h-index supported by multiple indexed documents and a steadily growing citation count, indicating increasing impact in robotics and intelligent control research. His work has appeared in reputable venues such as IEEE Access, Machine Learning and Knowledge Extraction, and IEEE conferences. He has received several academic honors, including national merit scholarships and highest GPA awards. Overall, his research trajectory demonstrates a strong foundation and growing influence in intelligent robotics, positioning him well for advanced doctoral research in learning-enabled autonomous systems.

Citation Metrics (Google Scholar)

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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.

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177

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Jiuping Xu | Petroleum Engineering | Best Researcher Award

Prof. Jiuping Xu | Petroleum Engineering | Best Researcher Award

Sichuan University, Business School | China

Prof. Jiuping Xu of Sichuan University is a distinguished scholar whose research spans applied mathematics, system science and complex-systems engineering, with a focus on decision and technology innovation for large-scale energy, environment, water-resource, circular economy and health-management systems. Educated with a PhD in applied mathematics from Tsinghua University under Prof. Shutie Xiao and a second PhD in physical chemistry from Sichuan University under Prof. Jiuli Luo, he has built a career at the interface of mathematics and engineering practice. He formulated the “TS-MG-AC” (Theory Spectrum Model Group Algorithm Cluster) paradigm for multivariate-multilevel systems, and developed multilevel dynamic equilibrium approaches in areas such as water allocation, circular economy systems and hydropower project management. His applied work has delivered significant societal and economic impact (for example in post-earthquake ecosystem reconstruction, irrigation-district water allocation and large hydropower construction). With an h-index of approximately 62 and over 14,979 citations, his publication output and influence are substantial. He has held leadership roles in major engineering-science teams and has contributed to policy formulation in China for resource, seismic-ecosystem and environmental systems. His research interests include fuzzy logic, multi-criteria decision making, large-scale system optimisation, circular economy modelling and low-carbon infrastructure innovation. In conclusion, Professor Xu is a prolific and impactful systems-engineer-scientist whose theoretical and applied contributions bridge mathematics, optimisation, engineering and environmental-economics to address pressing global challenges.

Profile : Scopus

Featured Publications

Xu, J., et al. (2025). Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach. Scientific Reports.

Xu, J., et al. (2025). Parental expectation and psychological distress of Chinese youth: The chain mediating effects of core self-worth and perceived stress. BMC Public Health.

Xu, J., et al. (2025). A co-gasification strategy of residual municipal solid waste and biomass for electricity generation optimization and carbon reduction. Energy.

Xu, J., et al. (2025). Predict-then-optimise based day-ahead scheduling towards demand response and hybrid renewable generation for wastewater treatment. Applied Energy.

Xu, J., et al. (2025). Industrial prosumption-based energy transition technologies investigation for wastewater sector. Renewable and Sustainable Energy Reviews.