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Nominations: Nominations closed

Voting: Voting closed

Vacancies
1
Results

Winner(s)

Re-open nominations is a winner
No
Count information
Date count run21 Nov 2025
Election rulesERS97 STV
Candidates running3
Available position1
Total ballots3
Valid votes3
Invalid votes0
Round 1
Ming Song [26864]3.00
Paul Vincent Bezzina [27397]0.00
RON (Re-open Nominations)0.00
Exhausted0.00
Surplus1.50
Threshold1.50
Count of first choices. The initial quota is 1.50. Candidate Ming Song [26864] has reached the threshold and is elected.

Winner is Ming Song [26864].

Candidates

Paul Vincent Bezzina

My name is Paul Vincent Bezzina and I am a first year Electronic & Electrical Engineering student from Malta. 

I believe that I would be a good fit for this role because of my past hands-on projects. I designed and built a 3D-printed robotic arm from scratch using Fusion 360 and an Arduino Mega, and developed a custom Arduino-based control system for an RC plane. I am familiar with C++ and Python for implementing these control algorithms.

I also have practical experience in schematic design and PCB layout. My projects include reverse-engineering the Flipper Zero with custom STM32 schematics, designing an NFC business card using an ATmega328P, and I am currently developing my own Zynq-7020 FPGA development board. While my experience with high-power systems is limited to a 400W solar project.

Ming Song

I am standing for Technical Officer because I’m deeply passionate about robotics and eager to help the UCL Robotics Society grow as a hub for innovation, collaboration, and hands-on learning. Over the past few years, I’ve designed and built multiple robotic systems, including a 6-DOF robotic arm, a tendon-driven robotic wrist (“Omni Dexter”), and a humanoid robot. I’ve also led projects integrating computer vision (YOLOv8) and multimodal AI for intelligent perception and decision-making.

As Technical Officer, I aim to make our society’s workshops and projects more technically engaging and accessible. I want to establish structured technical training sessions, enhance the documentation of ongoing builds, and support members in mastering tools like ROS, CAD, and embedded systems. My experience with mechanical design, control systems, and AI integration allows me to assist teams across diverse technical domains.

I believe in fostering an environment where members not only build robots but also understand the reasoning behind each subsystem. With a balance of creativity, engineering rigor, and mentorship, I hope to contribute to advancing both the society’s projects and its community spirit.