Abdulrazak Otaru | Modelling and Simulation | Best Researcher Award

Dr Abdulrazak Otaru | Modelling and Simulation | Best Researcher Award

Assistant Professor, King Faisal University, Saudi Arabia 
Dr. Abdulrazak Jinadu Otaru is an Assistant Professor in the Department of Chemical Engineering at King Faisal University, Al Ahsa, Saudi Arabia. With extensive teaching experience, he has held academic roles at King Faisal University and the Federal University of Technology Minna, Nigeria. His expertise spans Chemical Engineering Thermodynamics, Numerical Methods, and Computational Fluid Dynamics (CFD). Dr. Otaru’s research focuses on machine learning applications in modeling thermal degradation and porous material systems.

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Education 🎓

Dr. Otaru holds a PhD in Chemical Engineering, specializing in Modelling and Simulation. His education has equipped him with advanced knowledge in CFD, machine learning, and material sciences, allowing him to contribute significantly to his field.

Experience 💼

Dr. Otaru has served as an academic in both undergraduate and postgraduate settings. At King Faisal University, he teaches courses such as Chemical Engineering Thermodynamics, Numerical Methods, and Engineering Computing. Previously, at the Federal University of Technology Minna, he taught subjects like Transport Phenomena, Chemical Reaction Engineering, and Chemical Engineering Design.

Research Interests 🔬

Dr. Otaru’s research revolves around Chemical Engineering, focusing on Computational Fluid Dynamics (CFD), machine learning for material modeling, carbon capture technologies, and the thermo-kinetic analysis of bio-composites. His ongoing projects include studies on the thermal degradation of palm fronds, polyolefin bio-composites, and various zeolite synthesis processes.

Awards 🏆

Dr. Otaru has earned recognition for his contributions to chemical engineering and material sciences, particularly for his innovative use of machine learning techniques in chemical process modeling. His work in computational techniques for sustainable material processing has been highly regarded in both academic and industrial circles.

Publications 📚

Dr. Otaru has published numerous research papers in renowned journals. His recent works include:

Thermal Decomposition of Date Seed/Polypropylene Homopolymer: Machine Learning CDNN, Kinetics, and Thermodynamics published in Polymers, MDPI on 23rd January 2025. Link to the article.

Kinetics Study of the Thermal Decomposition of Date Seed Powder/HDPE Plastic Blends published in Bioresource Technology Reports, Elsevier on 13th January 2025. Link to the article.

Conclusion

Dr. Otaru stands out as a highly deserving candidate for the Best Researcher Award. His exceptional research output, interdisciplinary work, and continuous contributions to the scientific community make him a key figure in the field of Chemical Engineering. With a proven record of academic excellence and an innovative approach to solving complex engineering problems, Dr. Otaru exemplifies the qualities of a distinguished researcher.

 

Amin Mahdavi-Meymand | Simulation | Best Researcher Award

Mr Amin Mahdavi-Meymand | Simulation | Best Researcher Award

Specialist, institute of hydro engineering polish academy of science, Poland ✨

Amin Mahdavi-Meymand, MSc, is a dedicated specialist in hydro-engineering and structural dynamics at the Institute of Hydro-Engineering of the Polish Academy of Sciences. With a strong academic and professional background in water structures and wave mechanics, he focuses on innovative solutions to complex engineering challenges. He is fluent in Persian and English and actively contributes to cutting-edge research in his field.

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Education 🎓

Amin Mahdavi-Meymand is currently pursuing his Ph.D. in Civil Engineering, Geodesy, and Transport at the Tri-city Doctoral School of the Polish Academy of Sciences under the supervision of Wojciech Sulisz. He holds an M.S. in Agriculture Engineering specializing in Water Structures from Shahid Chamran University of Ahwaz, where he achieved a GPA of 3.47. His master’s dissertation focused on Fuzzy and Neural-Fuzzy Modeling of Aerator Structure Geometric and Chute Hydraulic in the Discharge of Air Flow, supervised by Dr. Javad Ahadian. He also earned a B.A. in Agriculture Engineering with a focus on Water from Shahid Bahonar University of Kerman, achieving a GPA of 3.18 under the guidance of Dr. Mohammad Zounemat-Kermani.

Experience 🏗️

Amin has been actively engaged in research and development in wave mechanics and structural dynamics. His work combines theoretical insights and practical applications, addressing challenges such as sediment transport, hydraulic modeling, and dam water-level variations.

Research Interests 🔬

Amin Mahdavi-Meymand’s research interests span innovative applications of artificial intelligence in water engineering, focusing on enhancing predictive and analytical models. He specializes in neural-fuzzy modeling to optimize hydraulic systems, providing deeper insights into complex water flow behaviors. His work also delves into scour depth prediction and sediment transport, critical for maintaining structural integrity in aquatic environments. Additionally, Amin explores the use of meta-heuristic algorithms in hydro-structural simulation, aiming to improve the efficiency and accuracy of water resource management solutions.

Awards 🏆

Amin has been recognized for his innovative approaches to water structure engineering and his contributions to the development of advanced numerical models in hydro-dynamics.

Publications Top Notes 📚

Depth Prediction in Sand Beds using Artificial Neural Networks and ANFIS Methods (Indian Journal of Science and Technology, 2015) Link

Numerical Modeling of Scour Depth at Side Piers of the Bridge (Computational and Applied Mathematics, 2015) Link

Estimating Incipient Motion Velocity of Bed Sediments using Different Data-driven Methods (Applied Soft Computing, 2018) Link

Hybrid Meta-heuristics Artificial Intelligence Models in Simulating Discharge Passing the Piano Key Weirs (Journal of Hydrology, 2018) Link

Evaluating Performance of Meta-Heuristic Algorithms and Decision Tree Models in Simulating Water Level Variations of Dams’ Piezometers (Journal of Hydraulic Structures, 2018) Link

Conclusion

Amin Mahdavi-Meymand is a strong contender for the Best Researcher Award due to his innovative contributions to water structure engineering, advanced modeling techniques, and academic dedication. With a focus on expanding his research scope and enhancing his global presence, he is poised to become a leading figure in hydraulic and civil engineering. His potential and achievements make him a noteworthy candidate for the award. 🌟