Deepdynasim Engineering & Consulting Ltd. Co

Company Overview: DeepDynaSim Engineering & Consultancy is a high-tech R&D and consulting firm specializing in the fusion of physics-based modeling and artificial intelligence to tackle complex engineering problems. Founded by Dr. Çağlar Uyulan, the company operates at the intersection of control engineering, mechanical systems, and machine learning—developing intelligent digital twin platforms, predictive diagnostic algorithms, and simulation tools that align with real-world physics. We partner with academic institutions, research centers, and industry stakeholders to create next-generation engineering tools that are accurate, scalable, and adaptive. Core Focus Areas: Physics-Informed Neural Networks (PINNs) and Transformer-based Models Digital Twin Systems for smart mobility, drones, and energy Battery Management System (BMS) diagnostics using AI-driven SOH, SOC, and RUL estimation Thermal & Structural Optimization through reduced-order modeling (POD, SINDy) AI-Assisted Simulation Software for turbo compressors and aerospace components Transfer Learning and real-time data analytics for predictive maintenance Flagship Projects: Digital Twin Development for Drone Battery Systems Integrated Transformer & PINN models for real-time SOH/SOC/RUL prediction AI-based thermal management and cell balancing algorithms Transfer learning implementation and prototype battery testing for delivery drones AI-Assisted Software for Hydrogen & Air Turbo Compressor Design Custom throughflow solver with AI-driven optimization tools User interface with 3D design visualization for accelerated prototyping Targets defense, aerospace, and renewable energy industries by reducing dependency on imported design platforms