Moe Sani
Edge AI 路 Robotics 路 Embedded Systems

Moe Sani

Visionary engineer and innovator specializing in robotics, embedded systems, and machine learning. Currently contributing to cutting-edge advancements in edge AI.

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Moe Sani portrait
Edge AIDeployment, optimization, tooling
RoboticsTeleoperation, autonomy, interfaces
Embedded SystemsMCUs, sensors, edge devices

About

Mohammad Fattahi Sani (Moe Sani) is a visionary engineer and innovator specializing in robotics, embedded systems, and machine learning.

Currently, he contributes to cutting-edge advancements in edge AI at Edge Impulse, the leading platform for developing and deploying AI on edge devices. At Edge Impulse, Moe leverages his expertise to empower developers worldwide in building intelligent, low-latency solutions for microcontrollers, sensors, and cameras.

Prior to this, Moe served as Associate Principal Software Engineer at Dyson's Future Robotics department. Recognized as Exceptional Global Talent by UK Tech Nation in 2021, he also serves as an Industrial Mentor at Dyson Institute of Technology (DIET) and University of Bristol.

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Expertise

Machine Learning Robotics Edge AI Embedded Systems IoT Computer Vision Software Engineering Innovation

Edge Impulse

Edge AI leadership

Dyson Future Robotics

Associate Principal Engineer

Bristol Robotics Laboratory

Surgical robotics research

Featured Projects

Selected projects spanning surgical robotics, teleoperation, and edge AI systems.

馃彞 SMARTsurg Project

Contributed to surgical robotics research at Bristol Robotics Laboratory, focusing on intelligent assistance systems and precision automation.

Robotics Healthcare AI Research

馃 Robot Teleoperativo

Developed advanced teleoperation systems at Italian Institute of Technology for remote robotic control in hazardous environments.

Teleoperation Robotics VR Safety

馃 Edge AI Solutions

Leading innovation in edge AI deployment, helping developers build intelligent IoT solutions with reduced latency and cost.

Edge AI IoT ML Optimization
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Selected Publications

Peer-reviewed contributions in robotics, edge AI, and intelligent systems.

Mapping Surgeons Hand/Finger Movements to Surgical Tool Motion During Conventional Microsurgery Using Machine Learning

International Journal of Computer Assisted Radiology and Surgery 路 2022

Surgical Robotics ML

Automatic navigation and landing of an indoor AR drone quadrotor using ArUco marker and inertial sensors

International Conference on Robotics and Automation for Humanitarian Applications 路 2016

Drones Navigation

Experimental study of reinforcement learning in mobile robots through spiking architecture of Thalamo-Cortico-Thalamic circuitry of mammalian brain

International Journal of Advanced Robotic Systems 路 2016

Reinforcement Learning Robotics
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Featured Video

Watch my latest insights on technology and innovation.

Get In Touch

Looking for technical advice, expert consultation, or a quick chat? Reach out and tell me about the challenge you are working on.