AdamAl Ashiri
M.Sc. Innovation, Defence & Security · Swedish Defence University
KTH Royal Institute of TechnologySwedish Defence University
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M.Sc. Candidate
Swedish Defence University
2026–28 ▶
B.Sc. Computer Engineering
KTH Royal Institute of Technology
2023–26
Naval Engineer
Swedish Armed Forces
2020–21
Hobby Project — Projectile Detection & Trajectory Simulation
GungnirHuginn
A high-performance defence research system for real-time projectile detection and trajectory simulation. Combining computer vision, sensor fusion, and physics-based modelling for threat assessment and situational awareness.
Object Detection (YOLO11)
IMM Tracking
C++
Kinematics & Ballistics
Physics Modelling
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About

Who I Am

Adam Al Ashiri

Defence innovation specialist bridging technology, strategy, and security. B.Sc. in Computer Engineering from KTH Royal Institute of Technology, now pursuing an M.Sc. in Innovation, Defence and Security at the Swedish Defence University — a unique programme at the intersection of engineering and defence systems.

Proven leadership in technology strategy: led cross-functional teams in industry, driving GenAI product strategy and distributed systems architecture. Military background as Engineering Officer in the Swedish Armed Forces provides first-hand understanding of operational requirements and mission-critical environments.

Focused on capability development, defence technology strategy, and bridging the gap between technical teams and strategic decision-makers in the security sector.

Education

Academic Path

Swedish Defence University
M.Sc. Defence Systems
Swedish Defence University
2026 — 2028
Interdisciplinary master's programme at the Swedish Defence University, developed in collaboration with defence agencies and industry. Focus on systems engineering, capability development, and strategic leadership in the defence and security sector.
KTH Royal Institute of Technology
B.Sc. Computer Engineering
KTH Royal Institute of Technology
2023 — 2026
Comprehensive engineering degree covering software architecture, AI/machine learning, distributed systems, computer security, and systems engineering. Thesis: AI-driven code review analysis for mission-critical enterprise systems.
Projects

Selected Work

Hobby Project — Defence R&D
Gungnir / Huginn
Real-time detection and trajectory simulation
A high-performance system for detecting projectiles in motion and simulating their trajectories in real time. Huginn handles the detection layer — utilizing YOLO11 for object detection and IMM filters for precision tracking. Gungnir runs the core engine in C++, performing complex physical calculations to model ballistic paths and predict impact points.
Built for low-latency defence applications, bridging computer vision and classical kinematics for threat assessment.
YOLO11IMM FilterC++KinematicsBallisticsPhysics Engine
CV
Detection layer
RT
Real-time processing
3D
Trajectory simulation
API
Modular interface
DetectionHuginn
SimulationGungnir
ProcessingReal-time
StatusIn Development
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Open to roles in defence innovation, capability development, systems engineering, and security leadership.