I bridge the gap between high-performance systems engineering and advanced aerospace technologies. My expertise spans real-time flight controls, hardware-software co-design, deep learning, and advanced multifunctional energy systems.
My primary interests are:
- 🔲 FPGA Design (VHDL)
- ⚡ Power Electronics
- 💻 Embedded C/C++ Development
✈️ Flight Control Systems- 🚁 Autonomous UAV Software
- 📡 Sensor Fusion & State Estimation
- 🤖 AI for Aerospace Applications
I enjoy developing hardware, complete and reliable aerospace software stacks — from embedded firmware and avionics to flight control, simulation, and verification.
| Area | Repository |
|---|---|
| 🚁 Flight Control | Autonomous UAV Avionics Control Stack |
| 🛩️ Embedded Avionics | Embedded Avionics Software Stack |
| 🔧 Embedded Firmware | STM32 CAN Telemetry Node |
| 📡 FPGA & DSP | Intel FPGA DSP Measurement |
| 📶 Radar Signal Processing | S32R45 Radar DSP Pipeline |
- Guidance, Navigation, and Control (GNC): UAV Flight Controls, PID/modern control implementation, 6-DOF aircraft/interceptor dynamics, PN/APN guidance laws, LQR/optimal control, and robust Monte Carlo flight simulations.
- Autonomous Systems & UAV Development: Native flight stack architecture development using PX4 Autopilot and ArduPilot, ground control systems configuration (QGroundControl), robotic simulation (Gazebo, ROS/ROS2), and end-to-end flight software validation using Software-in-the-Loop (SITL), Hardware-in-the-Loop (HIL/HITL), and Processor-in-the-Loop (PIL) testing frameworks.
- Embedded Systems & FPGAs: Production-grade C/C++ firmware development, bare-metal microcontrollers (STM32/ARM Cortex), driver software for hardware/sensor integration, VHDL digital design for reconfigurable architectures, low-latency communication protocols (CAN, SPI, I2C, UART), FPGA interfacing, and FPGA-based Digital Signal Processing (DSP).
- Robotics & Perception: Multi-object radar/lidar tracking, real-time sensor fusion algorithms (Kalman Filtering), computer vision pipelines, and Edge AI deployment.
- Artificial Intelligence & Machine Learning: Deep learning architectures (CNNs, Transformers, RNNs), deep reinforcement learning (DRL) for guidance and navigation, computer vision pipelines, multi-sensor perception modeling, Edge AI model quantization.
- Power Electronics & Energy Systems: Design and modeling of high-efficiency power conversion stages (DC-DC converters, inverters), battery management systems (BMS), brushless motor control (BLDC/PMSM) electronic speed controllers (ESCs), and power management distribution circuits for electric aircraft, robotic systems, and structural battery networks.
- Structural Energy Storage: Researching next-generation multifunctional composites, including ambient-temperature sodium-ion structural batteries and structural supercapacitors to optimize flight vehicle efficiency.
- 🎓 Credentials: Holder of 4 Specialized Engineering Master's Degrees:
- M.Sc. Aeronautical and Space Systems – ISAE-SUPAERO (Toulouse, France)
- M.Sc. Nanotechnology – RPTU Kaiserslautern (Kaiserslautern, Germany)
- M.S. Electrical Engineering – University of Colorado Boulder (Boulder, USA)
- M.S. Artificial Intelligence – University of Texas at Austin (Austin, USA)
- 🔬 Affiliations: Formerly German Aerospace Center (DLR) Institute of Flight Systems / SE²A Cluster of Excellence (TU Braunschweig).
- 📝 Publications: Explore my peer-reviewed research on Google Scholar and ResearchGate.
- 👔 Professional Network: LinkedIn
- 📱 Technical Discussions & Research Updates: @iyer_vasan on X (formerly Twitter)