Open to opportunities

Ahmet Cinar

@ahmetcinar

Senior computer vision engineer and applied research lead delivering deployable perception for robotics in extreme environments.

United Kingdom

Message

What I'm looking for

I’m looking to lead applied robotics perception and computer vision research—building deployable edge AI systems (Jetson/CUDA/ROS2) for real-time SLAM and 3D reconstruction in extreme, degraded, or hazardous environments.

I’m a computer vision scientist-engineer and applied research leader with over 14 years of experience (8+ years in industry, 6 years in academia), building perception systems for robotics in extreme environments. I bridge imaging physics, geometric vision, and deployable robotics perception where conventional sensing breaks down.

I specialize in underwater stereo vision, SLAM (visual + sonar), 3D reconstruction, calibration, and edge AI deployment. I’ve led the development of GPU-accelerated pipelines on NVIDIA Jetson for real-time operation, and I focus on robust localisation and mapping in degraded conditions like turbidity and backscatter.

Most recently at Frontier Robotics (Edinburgh), I led underwater perception and mapping systems that combine stereo vision, forward-looking sonar, dense mapping, and SLAM. Previously as Lead Research Associate – Applied Computer Vision at Createc (Oxford), I led real-time vision and perception work across nuclear, defence, rail, and aerospace—turning hard scientific imaging problems into field-deployable systems with strong validation in safety-critical, hard-to-measure settings.

Experience

Work history, roles, and key accomplishments

Current

Senior Computer Vision Engineer

Current

Frontier Robotics

Jan 2024 - Present (2 years 5 months)

Led the development of underwater perception and mapping systems combining stereo vision, forward-looking sonar, and SLAM for low-visibility environments. Built GPU-accelerated, real-time pipelines on NVIDIA Jetson and integrated multi-sensor uncertainty-aware stereo depth reconstruction for robust operation.

3D Reconstruction NVIDIA Jetson Docker TSDF Mapping Sensor Fusion GPU Accelerated Real Time Pipelines Sensor Fusion

Lead Research Associate

Createc

Jan 2018 - Jan 2024 (6 years)

Provided technical leadership across multiple R&D projects in nuclear, defence, rail, and aerospace, delivering real-time 3D perception for robotic inspection and manipulation. Led system design from early-stage research through TRL progression to 4+ and supported deployment readiness with rigorous algorithm validation and accuracy quantification.

Geometric Vision 3D Reconstruction Sensor Calibration Real Time Robotics Perception Safety Critical Accuracy Quantification TSDF Mapping Inspection Systems

Education

Degrees, certifications, and relevant coursework

University of Sheffield

Doctor of Philosophy (PhD), Mechanical Engineering

2013 - 2018

Activities and societies: Thesis work on DIC/DVC fracture mechanics; crack detection; synchrotron experiments (Diamond Light Source, ESRF).

Completed a PhD in Mechanical Engineering on image-based fracture mechanics using Digital Image Correlation (DIC) and Digital Volume Correlation (DVC). Developed automatic crack detection and analysis methods using surface and volumetric displacement data, supported by synchrotron imaging experiments at Diamond Light Source and ESRF.