Andro Rak | Computational Fluid Dynamics | Young Researcher Award

Andro Rak | Computational Fluid Dynamics | Young Researcher Award

Mr. Andro Rak, University of Rijeka, Faculty of Engineering, Croatia.

Andro Rak is a PhD researcher and teaching assistant specializing in aerodynamics and computational fluid dynamics (CFD) 🏎️. With over three years of professional experience in CFD, 3D modeling, HPC, optimization methods, and wind tunnel testing 🌬️, Andro is dedicated to solving complex engineering challenges through innovative simulations and data analysis πŸ’‘. He is currently pursuing a PhD at the University of Rijeka, Croatia, and also works as a Visiting Academic at the University of Southampton, UK, focusing on the aerodynamic and aeroacoustic analysis of bio-inspired wings πŸ¦‹. He is passionate about Formula 1, racing, and aerodynamic design 🏁.

Publication Profiles

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πŸ”Ή Education & ExperienceΒ 

  • PhD Researcher (Present) – University of Rijeka, Faculty of Engineering, Croatia 🏫

  • Visiting Academic (2023 – 2024) – University of Southampton, UK ✈️

  • MSc in Mechanical Engineering (2021) – University of Rijeka, Faculty of Engineering, Croatia πŸŽ“

  • BSc in Mechanical Engineering (2018) – University of Rijeka, Faculty of Engineering, Croatia πŸŽ“

  • CFD Software Engineer Intern (2020 – 2021) – Hydrotec Water and Environment Consulting Engineers Ltd., Aachen, Germany πŸ’»

  • Estimator (Part-time) (2018 – 2021) – LLC StoneCRO Ltd., Boston, USA πŸ’Ό

πŸ† Suitability for Young Researcher Award

Mr. Andro Rak is a highly promising early-career researcher and teaching assistant whose achievements in computational fluid dynamics (CFD), aerodynamics, and high-performance computing (HPC) make him an exceptional candidate for the Young Researcher Award. With a solid foundation in mechanical engineering and a research portfolio that bridges advanced simulations with experimental validation, Mr. Rak is a rising talent in the field of engineering sciences.

πŸ”Ή Professional DevelopmentΒ 

Andro Rak continuously enhances his expertise in CFD, optimization methods, and aerodynamics. In 2023, he participated in the AirShaper MotoGP and F1 Aerodynamic Challenges 🏍️, applying CFD simulations to optimize vehicle performance. He also pursued courses on machine learning for fluid mechanics 🧠 and completed modules in race engineering at MIA School of Race Engineering in Silverstone 🏁. His work with wind tunnel testing, HPC, and large-scale simulations ensures ongoing growth in computational mechanics πŸ–₯️. Andro’s commitment to professional development is evident through his participation in global conferences, like ISC 2022 in Hamburg 🌍, and his focus on cutting-edge aerospace research πŸš€.

πŸ”Ή Research FocusΒ 

Andro Rak’s research focuses on the intersection of aerodynamics and computational fluid dynamics (CFD) 🌬️. His primary areas of expertise include analyzing fluid flow around complex geometries, such as bio-inspired wings and aerodynamic components of racing vehicles 🏎️. Andro uses advanced CFD techniques like Large Eddy Simulation (LES), Direct Numerical Simulation (DNS), and Lattice Boltzmann Method (LBM) to study boundary layer stability, flow separation, and aeroacoustic interactions πŸ”. His work is instrumental in advancing the efficiency of aerodynamic designs, particularly in motorsport and aerospace applications ✈️. He also explores HPC solutions for high-performance simulations on cutting-edge architectures πŸ–₯️.

πŸ… Awards & Honors:

  • Best Result in Aerodynamics Test (2023) – MIA School of Race Engineering, Silverstone πŸ†

  • Research Published in Q1 Excellence Journal (2023) – For CFD and wind tunnel comparison research πŸ“š

  • Top Achiever in F1 Aerodynamics Challenge (2023) – AirShaper 🏁

  • Award for Best Performance in ISC 2022 (Hamburg) – International Supercomputing Conference πŸ…

  • Best Aerodynamic Data Analysis (2021) – MIA Race Engineering 🏎️

Publication Top Noted

  1. Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil – Int. J. of Numerical Methods for Heat & Fluid Flow (2023) πŸ“š5 βœˆοΈπŸ’¨πŸ“Š
  2. Computational Fluid Dynamics Analysis of Ballast Water Treatment System Design – J. of Marine Science and Engineering (2025) πŸ“šβ€“ πŸŒŠβš™οΈπŸ›³οΈ
  3. Modeliranje strujanja zraka oko urbanih struktura – University of Rijeka, Faculty of Engineering (2021) πŸ“šβ€“ πŸŒ†πŸŒ¬οΈπŸ™οΈ

Assist Prof Dr. Safyan Mukhtar | Computational Fluid Dynamics | Best Researcher Award

Assist Prof Dr. Safyan Mukhtar | Computational Fluid Dynamics | Best Researcher Award

Assist Prof Dr. Safyan Mukhtar, King Faisal University, Saudi Arabia

Dr. Safyan Mukhtar is an Assistant Professor at King Faisal University’s Department of Basic Sciences, specializing in applied mathematics. He earned his Ph.D. from COMSATS University Islamabad, focusing on numerical solutions of population balance models, following M.S. and M.Sc. degrees from Quaid-e-Azam University. His research interests include modeling and simulation of particulate processes, computational fluid dynamics, and fractional calculus, with a particular emphasis on numerical solutions of fractional differential equations. Previously, he served at Bacha Khan University in Pakistan and was honored with the Research Productivity Award from COMSATS Institute of Information Technology in 2011 for his significant contributions to the field.

Professional Profile:

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πŸŽ“ Education:

Dr. Safyan Mukhtar holds a Ph.D. in Applied Mathematics from COMSATS University Islamabad, Pakistan, with a focus on numerical solutions of population balance models. He also earned his M.S. in Applied Mathematics and M.Sc. in Mathematics from Quaid-e-Azam University, Islamabad.

πŸ’Ό Employment:

Dr. Mukhtar has been an Assistant Professor at King Faisal University’s Department of Basic Sciences since February 2018. Previously, he served as an Assistant Professor and Lecturer at Bacha Khan University in Pakistan, contributing to the Department of Mathematics & Statistics.

πŸ”¬ Research Interests:

His research spans modeling and simulation of particulate processes, computational fluid dynamics, and numerical solutions of differential equations. He is particularly interested in fractional calculus and the numerical investigation of fractional differential equations.

πŸ† Awards:

Dr. Mukhtar received the Research Productivity Award from COMSATS Institute of Information Technology in April 2011, recognizing his significant contributions to research in applied mathematics.

Publication Top Notes: