Applied Research & Industry Projects
Engineering intelligence for next-generation industrial systems.
Automatic mesh generation for optimal CFD of a blade passage using deep reinforcement learning
Multi-condition multi-objective airfoil shape optimization using deep reinforcement learning
Multi-Agent Reinforcement Learning for
NASA-GE E3 Gas Turbine
Compressor for Data-Center Cooling Systems
- Blade count: 13 → 7 (Lower cost, lighter system)
- +23 % prssure rise (higher output)
- +20 % efficiency (major energy saving)
Environmental hazard prediction in semiconductor manufacturing process
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