Director of Engineering & Principal 3D Computer Vision (SLAM) Engineer
Kudan Computer Vision and Artificial Perception Ltd, Bristol, UK
Senior engineering leader and computer vision researcher with 20+ years at the intersection of academia and industry. I architect SLAM and 3D perception systems that enable machines to autonomously navigate the physical world.
01 — About
Principal Computer Vision Engineer with a PhD in Computer Vision from the University of Bristol and over 20 years of combined academic and industrial experience in AI algorithm development and applied research. My expertise centres on Visual and LiDAR SLAM, 3D perception, and real-time sensor fusion for localisation and mapping systems for robotics, AR/VR, and autonomous navigation. I combine rigorous mathematical foundations with hands-on, efficient implementation to deliver robust, production-grade solutions.
As Director of Engineering at Kudan, I lead cross-functional teams in architecting mapping and localisation systems that enable machines to autonomously navigate the physical world. My role bridges technical strategy with delivery—translating cutting-edge research into scalable, industrial-strength products while mentoring engineers and shaping the technical roadmap.
Prior to my industry career, I spent nearly a decade as an academic lecturer at Razi University, teaching topics ranging from fundamental principles to advanced concepts in algorithm design and AI programming. This academic foundation strengthens my ability to communicate complex technical concepts and mentor engineering teams.
02 — Experience
January 2025 — Present
Leading engineering teams and driving innovation in SLAM and perception systems for industrial applications.
February 2024 — March 2025
Managed software development initiatives and coordinated cross-functional engineering efforts.
April 2023 — January 2024
Led specialised SLAM development team, overseeing technical direction and delivery of core algorithms.
July 2020 — March 2025
Advanced R&D on state-of-the-art SLAM systems for industrial applications.
September 2018 — July 2020
Developed state-of-the-art SLAM systems for industrial applications.
July 2014 — July 2018
Conducted research in video monitoring work package. Also served as Teaching Support Assistant for Image Processing, Computer Vision, C Programming, and Signals courses.
February 2005 — July 2014
Taught wide range of computer engineering topics from fundamentals to advanced AI and algorithm design.
February 2003 — February 2005
Developed embedded systems for dams, power stations, and industrial facilities including data loggers, turbine controllers, and fibre-optic communication systems.
August 2002 — February 2003
Developed data communication platforms and weather monitoring systems for national infrastructure projects.
03 — Education
2014 — 2018
University of Bristol, United Kingdom
2002 — 2005
Amirkabir University of Technology (Tehran Polytechnic), Iran
1998 — 2002
National University of Iran (Shahid Beheshti University), Iran
04 — Publications
Introduces a novel depth-based photoplethysmography (dPPG) approach using two opposing RGB-D sensors to reduce motion artefacts in respiratory measurements. The method decouples trunk movements from respiratory motions, significantly improving accuracy of 11 clinical PFT measures compared to single-sensor approaches.
View on Scholar →Proposes a remote, non-invasive approach to pulmonary function testing using a depth sensor. By constructing 3D models of the chest and estimating volume variation, the method generates clinical spirometry measures (FVC, FEV1, VC, IC) validated against 85 patients, establishing that chest surface motion is linearly related to lung volume changes.
View on Scholar →Presents a vision-based, motion-tolerant approach for remote lung volume estimation during spirometry tests. Using temporal modelling of trunk shape from two opposing Kinects, the method extracts chest-surface respiratory patterns via PCA on geometrical features, enabling accurate assessment despite subject movement.
View on Scholar →Presents an open-source data acquisition and calibration system using two opposing Kinect V2 sensors for dynamic 3D object reconstruction. The method estimates relative pose through calibration and registers point clouds at frame level, enabling accurate measurements validated on known-size objects and human subjects.
View on Scholar →Explores using consumer 3D time-of-flight cameras for remote respiratory monitoring. The study validates chest volume estimation during spirometry on 100 patients with various respiratory conditions, demonstrating accurate respiratory rate tracking and FVC estimation within ±1%, with potential for low-cost home monitoring.
View on Scholar →Proposes an improved ant colony algorithm for medical image segmentation. The approach incorporates ant direction and tendency when calculating site selection probability, balancing directional influence with pheromone distribution. Applied to brain MRI segmentation and tumour diagnosis with enhanced efficiency.
View on Scholar →05 — Skills
06 — Contact
Interested in collaborating on computer vision projects, discussing SLAM technologies, or exploring research opportunities? I'd love to hear from you.