Vishal Raul
PhD | Design Optimization Research | CFD | Surrogate Modeling | Aerodynamics | Experimental Testing | Product Development
- Role
- Senior Researcher Aerodynamics, Thermal Management and Machine Learning at General Motors
- Location
- Detroit, MI, US
- LinkedIn followers
- 500 followers
About Vishal Raul
Research in multidisciplinary design, analysis, and optimization for solving challenging problems in engineering.• 6 years of research experience with simulation-based design optimization methods and aerodynamic shape optimization• 6 years of CFD, 3 years of wind tunnel testing, 3 years of product development, 1.5 years of manufacturing experience• Strong background in machine learning models, surrogate modeling, reduced-order modeling, and design of experiments• Experience with machine learning and deep learning methods through research, courses, and projects• Proficient with Python and MATLAB, experience with Bash scripting, Linux, and HPC computing• Experience with CAD, meshing and CFD/FEA tools (SOLIDWORKS, SU2, STAR-CCM+, OpenFOAM, COMSOL)• 3 years of experience in research and development of multiphase flow measurement systems for the oil & gas industry.• Lead development of two products through system development, testing, and validation phase.• Trinect Fellowship award (2018-19) to enhance elementary teacher preparedness to teach STEM subjects.• Strong troubleshooting, analytical, work planning, organizational, teamwork, and leadership skills.• Excellent oral and written communication, technical presentation, and interpersonal skills.
Experience
Senior Researcher Aerodynamics, Thermal Management and Machine Learning
Mar 2023 — Present
Spearhead development of AI-driven aerodynamic learning systems utilizing ROM, CNN, GNN and Neural Operator for efficient aerodynamic surface design development.• Explore the application of generative inverse design approaches (CINN) for vehicle aerodynamic surface development/optimization.• Research and develop machine learning models to enhance occupant thermal comfort.• Oversee projects focused on aerodynamic shape optimization and heat sink design leveraging advanced ML techniques such as Kriging, Cokriging, and RBF.• Innovate and evaluate active-passive solutions to improve EV aerodynamic efficiency.• Conceive next-generation concepts, propose new project initiatives, author technical reports and publications, and contribute to intellectual property through inventions and patents.
Education
Wichita State University
Master of Science, Aerospace Engineering
2010 — 2013
University of Mumbai
Bachelor of Engineering (B.E.), Mechanical Engineering
2004 — 2008
Iowa State University
Doctor of Philosophy - PhD, Aerospace Engineering
2017 — 2021
Skills
- Numerical Simulation
- Troubleshooting
- Wind Turbines
- Heat Transfer
- Fluid Mechanics
- Aerodynamics
- Microsoft Powerpoint
- Wind Tunnel Testing
- Statistics
- Microsoft Excel
- Tpm
- Mathematical Modeling
- Pro Engineer
- Solidworks
- Microsoft Office
- Computational Fluid Dynamics (Cfd)
- Cfd
- Testing
- Technical Writing
- Root Cause Analysis
- Engineering Design
- Experimental Research
- Fmea
- Computer-Aided Design (Cad)
- Analysis
- Non-Conventional Energy Sources
- Xfoil
- C++
- Mechanical Engineering
- Technical Support
- Research and Development (R&D)
- Icem Cfd
- Engineering Analysis
- Engineering
- Aerospace
- Fluid Dynamics
- Ansys
- Fortran
- Prototyping
- Data Analysis
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.