Dr. Mohamed Abdi | Engineering | Best Researcher Award

Teacher | Tissemsilt University | Algeria

Dr. Mohamed Abdi is a distinguished researcher in Mechanical Engineering whose academic and professional journey reflects a profound commitment to advancing the frontiers of Engineering science. With an extensive educational foundation in Energetics and Mechanical Engineering, his expertise bridges theoretical and applied aspects of Engineering thermodynamics, fluid mechanics, and heat transfer. His Engineering research primarily explores the rheological, hydrodynamic, and thermal behavior of non-Newtonian and nanofluid systems through advanced numerical and simulation-based Engineering methodologies. Dr. Abdi’s Engineering contributions include numerous publications in high-impact journals and conferences addressing turbulence modeling, convective heat transfer, and magnetohydrodynamic flow within complex Engineering systems. His participation in various international Engineering collaborations and his authorship of Engineering book chapters demonstrate his capacity to translate scientific insight into practical innovation. Dedicated to the progression of renewable energy and thermal management solutions, his Engineering studies aim to optimize system performance and sustainability through computational modeling and Engineering analysis. In recognition of his scholarly impact, he has been actively involved in Engineering education and mentoring, nurturing future engineers with analytical and problem-solving skills essential for global challenges. His meticulous approach to Engineering research and his ability to integrate theoretical models with industrial applications highlight his academic excellence and professional rigor. Dr. Abdi’s Engineering accomplishments stand as a testament to his intellectual leadership and contribution to multidisciplinary Engineering innovation. Google Scholar profile of 48 Citations, 4 h-index, 2 i10 index.

Profile: Google Scholar

Featured Publications

1. Abdi, M., Chaib, K., Menouer, A., & Benferhat, S. (2023). A natural convection conjugate heat transfer of nano-encapsulated phase change materials (NEPCMs) in an inclined blocked square enclosure. Numerical Heat Transfer, Part A: Applications, 84(6), 604–625.

2. Abdi, M., Noureddine, A., & Ould-Rouiss, M. (2020). Numerical simulation of turbulent forced convection of a power law fluid flow in an axially rotating pipe. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42.

3. Abdi, M. (2024). Combined conjugate free convection and thermal radiation in a porous inclined enclosure occupied with Cu–Al₂O₃ hybrid nanofluid. Numerical Heat Transfer, Part B: Fundamentals, 1–39.

4. Abdi, M. (2025). Laminar convective heat transfer combining buoyancy and thermal radiation of Carreau fluid within a concentric and eccentric annulus. Numerical Heat Transfer, Part B: Fundamentals, 86(9), 2879–2908.

5. Abdi, M., Ould-Rouiss, M., & Noureddine, A. (2024). Hydrodynamic and rheological characteristics of a pseudoplastic fluid through a rotating cylinder. Numerical Heat Transfer, Part A: Applications, 85(2), 250–269.*

Dr. Wu Qiuxuan | Robotics and Automation | Best Researcher Award

Teacher | Hangzhou Dianzi university | China

Dr. Wu Qiuxuan, an Associate Professor at the School of Automation, Hangzhou Dianzi University, is a distinguished researcher whose expertise and leadership have significantly advanced the field of Robotics and Automation. With a Ph.D. in Control Science and Engineering from Shanghai Jiaotong University, his academic journey reflects a deep commitment to innovation in Robotics and Automation, particularly in the areas of soft robotics, evolutionary learning, and home energy systems. Dr. Wu’s professional experience includes academic and research roles, notably as a visiting scholar at the Australian National University, where he furthered his understanding of intelligent robotic systems. His extensive research on bipedal robots, underwater biomimetic designs, and bio-inspired control algorithms has earned him international recognition. Dr. Wu has authored impactful papers in leading journals such as IEEE Robotics and Automation Letters and Bioinspiration & Biomimetics, contributing to global advancements in Robotics and Automation. His work integrates advanced modeling, deep reinforcement learning, and optimization techniques to enhance robotic adaptability and performance. Over the years, Dr. Wu has received numerous research grants supporting his pioneering studies on service robots, industrial automation, and 3D bioprinting technologies, underscoring his central role in the evolution of Robotics and Automation. With 721 citations, an h-index of 11, and an i10-index of 20, his scholarly influence continues to grow. Dr. Wu’s research skills encompass algorithmic innovation, system optimization, and control engineering, blending theoretical insight with practical application. In conclusion, Dr. Wu Qiuxuan stands as a driving force in Robotics and Automation, whose interdisciplinary expertise continues to shape intelligent systems and inspire the next generation of automation research worldwide.

Featured Publications

1. Cai, N., He, M., Wu, Q., & Khan, M. J. (2019). On almost controllability of dynamical complex networks with noises. Journal of Systems Science and Complexity, 32(4), 1125–1139.

2. Chi, X., Liu, B., Niu, Q., & Wu, Q. (2012). Web load balance and cache optimization design based nginx under high-concurrency environment. Proceedings of the Third International Conference on Digital Manufacturing & Automation, 69–73.

3. Wu, Q., Yang, X., Wu, Y., Zhou, Z., Wang, J., Zhang, B., Luo, Y., Chepinskiy, S. A., ... (2021). A novel underwater bipedal walking soft robot bio-inspired by the coconut octopus. Bioinspiration & Biomimetics, 16(4), 046007.

4. Wu, Q., Gu, Y., Li, Y., Zhang, B., Chepinskiy, S. A., Wang, J., Zhilenkov, A. A., ... (2020). Position control of cable-driven robotic soft arm based on deep reinforcement learning. Information, 11(6), 310.

5. Chi, X., Wang, C., Wu, Q., Yang, J., Lin, W., Zeng, P., Li, H., & Shao, M. (2023). A ripple suppression of sensorless FOC of PMSM electrical drive system based on MRAS. Results in Engineering, 20, 101427.