Randy Moore, Master of Applied Science in Electrical and Computer Engineering, Engineer in Training
I am an Engineer In Training (EIT) and MASc graduate from the Electrical and Computer Engineering program at the University of British Columbia, Vancouver, Canada, where I studied medical robotics and imaging with Professor. Tim Salcudean. I have a broad range of experiences working in large, system design for aerospace projects, clinical projects, and research organizations. At my core, I am a problem solver.
September 2022 - October 2024
University of British Columbia, Vancouver, Canada
MASc in Electrical and Computer Engineering
December 2023
Hamlyn Centre for Robotic Surgery, Imperial College, London
Hamlyn Winter School on Surgical Imaging and Vision
August 2023
Institute of Image Guided Surgery, IHU Strasbourg, France
Surgical Data Science Summer School
September 2018 - May 2022
University of Calgary, Calgary, Canada
Bachelor of Science in Electrical Engineering with a Minor in Biomedical Engineering
May - September 2022
Electrical Engineer EIT, Orb Surgical Ltd./Project neuroArm
Supervisor: Dr. Garnette Sutherland
May - August 2021
Department of Surgery Student Researcher
Supervisor: Dr. Paul B. McBeth
January 2020 - January 2021
Dry Lab Engineer at iGEM Calgary
May - April 2019
Grounds Member, Calgary Zoo
April - May 2017
Assistant Crew Leader - Parks and Labour Department - Chestermere, Alberta
April - May 2016
Machinery Operator - Parks and Labour Department - Chestermere, Alberta
January 2024 - Ongoing
Autonomous Camera System for Minimally Invasive Robotics , Robotics & Control Lab, The University of British Columbia
The da Vinci Surgical Robot uses a 4-Degree of Freedom (DOF) manipulator to place an endoscopic camera inside a patient. However, anatomy can be better viewed using an additional point of view and a more dexterous camera. This project involved the design of a
controller that uses the additional 7-DOF arm on the da Vinci robot to place an additional camera autonomously, and assesses its impact on surgical performance. Strategies investigated for autonomy include classical control and tracking as well as deep learning using
eye-gaze data and robot kinematics.
Sept 2022 - Oct 2024
Ultrasound Image Guidance for Transoral Robotic Surgery , Robotics & Control Lab, The University of British Columbia
For my masters thesis I investigated ways to introduce ultrasound image guidance into transoral robotic surgery targeting base of tongue and tonsillar tumours. This thesis details the development of two intraoperative teleoperation strategies for ultrasound imaging, including haptic feedback.
A soft-real-time C++ program was written to interface with the clinical da Vinci robot as well as a Mixed Reality application in C# using Unity for the HoloLens2.
September 2021 - May 2022
Remote Prehospital Tissue Perfusion Monitoring System, Capstone
After shadowing a trauma surgeon, I identified a need for prehospital monitoring of patients, leading to the development of a prehospital monitoring platform to provide trauma surgeons with critical patient vitals during patient transit to the hospital. My role in this project was overall system design and the design of a wearable sensor PCB that performs Near Infrared Spectroscopy to measure tissue perfusion.
May 2021 - August 2021
Satellite-Enabled Remote Ultrasound Telementoring , Department of Surgery, University of Calgary
This project aims to address the incoming need for infrastructure and evidence needed to implement telehealth in light of improved satellite communications. StarLink is set to revolutionize how we access the internet. Before utilizing this resource to improve healthcare delivery in remote regions, proof is needed of it's utility, and a plan is needed for its implementation.
September 2021 - May 2022
ANDROMEDA Flight Computer for High-Powered Rocketry , Student Organization for Aerospace Research
Flight computer developed for the solid rocket Osprey (10,000 ft) and hybrid rocket Ouroboros (30,000ft), flown at the Spaceport America Cup New Mexico in 2022
January 2020 - January 2021
Impedance-Based Vitamin A Deficiency Diagnostic Device , iGEM Calgary
Vitamin A deficiency (VAD) is a leading cause of childhood mortality and blindness. I lead the design of a field-based test which utilizes aptamers to quantify retinol binding protein concentrations in the blood. These concentrations can then be correlated to Vitamin A concentrations, enabling communities to detect VAD effectively.
This work resulted in placing amongst the top 5 teams worldwide at the International Genetically Engineered Machine (iGEM) Competition.
September 2019 - May 2020
Seamless Power Source Selection Solution for High-Powered Rocketry , Student Organization for Aerospace Research
A modular power management solution for facilitating seamless switching between ground systems, main battery, backup battery, and recovery-battery power for a high-powered rocket during its launch cycle.
Zijian Wu, Adam Schmidt, Randy Moore, Haoying Zhou, Alexandre Banks, Peter Kazanzides, Septimiu E. Salcudean. “SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking”. 2025 IEEE International Conference on Robotics and Automation (ICRA) (Submitted)
Randy Moore, Ryan Yeung, Wanwen Chen, Qi Zeng, Eitan Prisman, Septimiu Salcudean. Enabling Extracorporeal Ultrasound Imaging with the da Vinci Robot for Transoral Robotic Surgery – A Feasibility Study. IJCARS 2024. DOI: 10.1007/s11548-024-03160-9
15th International Conference on Information Processing in Computer-Assisted Interventions 2024 (Barcelona, Spain, Presented)
In my freetime I am an avid fitness enthusiast with some of my favourite pass-times being weightlifting, backcountry hiking, snowboarding, rowing, and biking. I enjoy playing both classical and jazz piano and am a huge science fiction fan.
MATLAB, Python, C#, C++, C, Linux, Robotic Operating System (ROS), Kinematics and Dynamics Library (KDL), da Vinci Research Kit (dVRK), Unity, Microsoft Mixed Reality Toolkit, WebSocket, CAD (SolidWorks, Fusion 360), Microcontrollers (Arduino, Raspberry Pi, STM32), LTSpice, Julia, Assembly Language, VHDL, TCP/IP
Computer Vision, Reinforcement Learning, Machine Learning, Classical Control, Modern Control
PCB Design (Altium), Mixed Analog-Digital PCB Design, Electromagnetic Compatibility, Communication (SPI, I2C, UART)