Founder & CEO
AwareAI | Startup
Building multimodal AI systems for aviation safety, pilot alertness, and human-centered decision support.
AI Engineering | MCP | Smart Robotics | Aerospace & Aviation
Alireza Ghaderi, PhD
AI and Aerospace Engineer, Founder, Pilot and Robotics Systems Builder
Tehran, Iran | Open to international research, technical leadership, advisory, and commercial collaboration
Professional Profile
AI and aerospace engineer, Founder and CEO of AwareAI, university lecturer, and CPL/IR pilot building MCP-enabled agent systems, smart and autonomous robots, flight simulation, and aviation intelligence for pilot performance, flight test, and safer operations. I build technically ambitious systems, document them for real users, and connect academic research with commercial aviation and robotics. I am interested in serious international teams, founders, research groups, and investors working on peaceful, lawful, high-impact technology.
Core Capabilities
Civil Aviation and Safety
Pilot vigilance, flight testing, aircraft performance, fatigue risk management, airline analytics, and human factors.
AI and Computer Vision
Multimodal learning, gaze and head-pose tracking, real-time perception, AI agents, and human-in-the-loop systems.
Robotics and Autonomy
PX4, MAVLink, MAVSDK, multi-vehicle operations, vision-guided control, mission planning, and field validation.
Simulation and Software
X-Plane and SITL integration, scientific computing, full-stack tools, Linux infrastructure, APIs, and developer workflows.
Professional Experience
Aerospace Engineer and Consultant
International commercial projects | Consulting
Flight simulation, autonomous systems, fleet software, commercial drone operations, technical training, and system integration for international clients.
Flight Test Laboratory Instructor
Sharif University of Technology | Part-time academic
Created and teaches the Virtual Flight Test Laboratory, combining flight dynamics, aircraft performance, piloting concepts, embedded programming, and simulation.
Aviation Analytics Consultant
ATA Airlines | Consulting
Applied machine learning and operational analysis to airline payload, fuel, revenue, and performance questions.
Web and Database Administrator
Sharif Alumni Association | Part-time
Maintains web infrastructure, databases, and operational systems for a long-running academic community platform.
Technical Simulation Team Contributor
Aseman Airlines Flight 3704 investigation | Technical advisory
Contributed flight-simulation analysis to the technical investigation team.
Selected Projects and Open Source
MDS - Mission-Directed Swarm
An open-source MAVLink fleet operations platform for PX4 drones, simulation, synchronized drone shows, search-and-rescue workflows, cooperative autonomy, and operational validation.
Python | React | FastAPI | PX4 | MAVLink | MAVSDK | SITL
PixEagle
A modular computer-vision and autonomous tracking suite for PX4 drones and ground vehicles, combining OpenCV, YOLO, MAVSDK, streaming, telemetry, and a real-time web dashboard.
Python | OpenCV | YOLO | MAVSDK | FastAPI | WebSocket | React
PX4-XPlane
A cross-platform X-Plane plugin connecting PX4 SITL with realistic aircraft simulation for fixed-wing, multirotor, hybrid VTOL, and advanced-air-mobility research.
C++ | PX4 SITL | X-Plane | UDP | CI/CD
Python Gaze and Face Tracker
A real-time eye, iris, facial-landmark, blink, head-pose, and gaze tracking toolkit for aviation research, human-computer interaction, and interactive systems.
Python | MediaPipe | OpenCV | Computer Vision | UDP
DroneSphere
An MCP-based interface for structured natural-language interaction with PX4 simulation and drone workflows, combining deterministic safety checks with AI-agent orchestration.
Python | MCP | FastAPI | n8n | MAVSDK | SITL
MAVLink Anywhere
A portable MAVLink routing dashboard for companion computers, ground-control links, LTE, Wi-Fi, VPNs, UDP, serial connections, and field telemetry.
Python | MAVLink | Linux | Networking | Telemetry
Education and Aviation Training
PhD, Aerospace Engineering
Sharif University of Technology
Dissertation on fatigue-risk-management-based pilot alertness monitoring using multimodal deep learning. Defended August 27, 2025.
MSc, Aerospace Engineering
Sharif University of Technology
Flight-test engineering research that became the Virtual Flight Test Laboratory course.
BSc, Aerospace Engineering
Sharif University of Technology
Designed and built a functional flapping-wing mechanism for the final project.
Commercial Pilot Licence with Instrument Rating
Parsis Aviation Training Center
CPL/IR completed. ATP Integrated theoretical ground course completed, with continuing flight-training records.
Peer-Reviewed Publications
Relationships Between Pilot Gaze Patterns and Control Lapses in Challenging Instrument Approach Flight
The International Journal of Aerospace Psychology | https://doi.org/10.1080/24721840.2025.2531740
Real-Time Pilot Cognitive Monitoring via Multimodal Fusion of Gaze and Control Signals: A Wavelet Scalogram Deep Learning Approach
Lecture Notes in Networks and Systems | https://doi.org/10.1007/978-3-031-97992-7_10
Enhancing Pilot Vigilance Assessment: The Role of Flight Data and Continuous Performance Test in Detecting Random Attention Loss in Short IFR Flights
Journal of Air Transport Management | https://doi.org/10.1016/j.jairtraman.2024.102673
Academic peer-review service includes the Journal of Air Transport Management and Ergonomics.
Selected International Recognition
Invited Speaker
PX4 Developer Summit 2023
Invited Speaker
Istanbul Zaim University Smart Drones Event 2024
First Place
Future of Unmanned Civil Aviation Ideas, Sochi Youth Festival 2017
Team Leader
NASA/AAS CanSat Competition, Texas, 2018
Technical Skills
Languages
Python, C/C++, MATLAB, JavaScript, TypeScript, PHP, Java, SQL
Ai
PyTorch, TensorFlow, OpenCV, YOLO, MediaPipe, AI agents, MCP, n8n
Aerospace
PX4, MAVLink, MAVSDK, Simulink, X-Plane, QGroundControl, Flight testing
Platform
React, Node.js, FastAPI, Docker, Linux, Git, WebSocket, REST APIs