Mohammad Sarabian: Unlocking the Potential of AI-Driven CFD

As a multifaceted Computational Fluid Dynamics (CFD) scientist and Artificial Intelligence (AI) expert, I bring a unique blend of technical prowess, research acumen, and problem-solving skills to the table. With a strong foundation in mechanical engineering and a passion for leveraging cutting-edge technologies, I have developed a comprehensive skill set that allows me to tackle complex challenges across diverse engineering disciplines.

Core Competencies:

  • Mathematical Modeling: With a deep understanding of mathematical principles and their applications in engineering, I excel in developing sophisticated mathematical models that capture the essence of complex systems. My expertise in mathematical modeling allows me to bridge the gap between theoretical concepts and practical applications, enabling me to create accurate and predictive models that drive innovation and optimization across various domains, from fluid dynamics to biomedical sciences. By leveraging my skills in numerical analysis, differential equations, and mathematical optimization, I develop elegant and efficient models that provide valuable insights and guide data-driven decision-making.
  • Computational Fluid Dynamics (CFD): With extensive experience in developing and implementing advanced CFD models, I possess a deep understanding of fluid mechanics, heat transfer, and complex flow phenomena. My expertise in CFD enables me to optimize the design and performance of various systems, from medical devices to industrial processes.
  • Artificial Intelligence and Machine Learning: As an AI researcher, I have pioneered the development of state-of-the-art deep learning algorithms, physics-informed neural networks (PINNs), and reduced-order models. My proficiency in AI and machine learning allows me to create innovative solutions that accelerate simulations, enhance prediction accuracy, and drive data-driven decision-making.
  • Biomedical Sciences: With a strong focus on leveraging CFD and AI in the biomedical domain, I have made significant contributions to the fields of cerebrovascular disease diagnosis, hemodynamic analysis, and medical device optimization. My interdisciplinary expertise enables me to bridge the gap between computational methods and real-world clinical applications, driving advancements in patient care and outcomes.

Technical Skills:

Programming Languages:
Python 95%
My Skill
MATLAB 90%
Java 80%
Fortran 95%
CFD Softwares:
STAR-CCM+ 98%
My Skill
COMSOL 85%
ANSYS (Workbench Meshing Tool, Fluent, CFX, SpaceClaim) 90%
OpenFoam 70%
Deep Learning Frameworks
PyTorch 98%
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TensorFlow/Keras 90%
High-Performance Computing (HPC):
Domain Decomposition Parallelization Technique 80%
My Skill
Master-Slaves Technique 70%
Numerical Techniques:
Immersed Boundary Method 98%
My Skill
Finite Element Method 90%
My Skill
Finite Volume Method 95%
Visualization Techniques:
Particle Image Velocimetry (PIV) 90%
My Skill
Particle Tracking Velocimetry (PTV) 90%
My Skill
Refractive Index Matching (RIM) 95%

Soft Skills:

  • Research and Analytical Skills: With a proven track record of conducting groundbreaking research and publishing in prestigious journals, I possess strong analytical skills and a keen eye for detail. My ability to design and execute complex studies, interpret data, and draw meaningful conclusions allows me to drive innovation and advance scientific knowledge.
  • Problem-Solving and Critical Thinking: I approach challenges with a creative and analytical mindset, employing a systematic approach to problem-solving. By breaking down complex issues into manageable components and leveraging my expertise in CFD and AI, I develop innovative solutions that address the root cause of problems and drive tangible results.
  • Communication and Collaboration: As a researcher and team player, I understand the importance of effective communication and collaboration. I possess excellent written and verbal communication skills, enabling me to convey complex ideas in a clear and accessible manner. My ability to work collaboratively with cross-functional teams, including experimentalists, mathematicians, and clinicians, allows me to drive interdisciplinary projects and foster a culture of innovation.
  • Leadership and Mentorship: Throughout my career, I have demonstrated strong leadership skills, guiding research teams, mentoring students, and driving projects to successful completion. My ability to inspire and motivate others, combined with my commitment to fostering an inclusive and supportive work environment, enables me to build high-performing teams and nurture the next generation of scientists and engineers.

With this unique combination of technical expertise, research prowess, and soft skills, I am well-equipped to tackle the most pressing challenges in CFD, AI, and biomedical sciences. As I continue to push the boundaries of innovation, I remain committed to leveraging my skills and knowledge to drive transformative change and create lasting impact across diverse engineering fields.