Join a project to create novel research or commercial products.
We run challenging projects throughout the year that are proposed by experts in their fields (Researchers/PhDs/Entrepreneurs). If you are interesting in joining a project team, please apply using the link below.
Apply for a project
If you want to propose your own project idea. Please fill in the project proposal form. We will help you build a team and provide the resources to get it started.
Propose a project
If you have any administrative questions for the projects (e.g. joining a running project if you are SUPER keen) contact us on facebook or email, rather than contacting supervisors.
- - Research
- - Commercial
- - JumpStart
- - Consulting
New Projects [accepting applications]
[Flagship Project - Convertible Internship Available] Developing a calendar-based nudge tool helps senior leaders make small but impactful changes in behaviour and communication at work.
Use Machine Learning to create a tool that reads data from a calendar and create unique nudges. The nudges should be relevant to their next meeting; fitting within the natural flow of work. A nudge follows a learning curriculum which uses predictive modelling to calibrate present, priority and missing skills.
ML-Enhanced Computer Vision Change Detector System for Satellite Images Analysis
To fight climate change by inspect the world’s ocean to detect oil spills and land for damage estimation following natural disasters.
Developing an integrated, personalized medicine platform using digital twins extrapolated from real-patient data
By extracting each patient’s unique biological signature, we aim to redefine the dynamic between patient, drug and treatment. Analogous to online ads targeted to your online identity, Aiina aims to accelerate therapeutic and clinical solutions to your unique biological signature.
Active Projects [closed applications]
Dissecting deep learning for systematic generalisation
We carry out an empirical study on the effective computational power of deep learning methods (transformers in particular) for systematic generalisation.
Head Circumference Measuring App
The aim of this study is to devise and validate a mobile app utilising modern smartphone camera technology to allow parents and caregivers to reliably measure infant HC. An accurate head circumference (HC) measurement is essential when clinically evaluating a neonate or infant. HC outside the normal range may indicate a disorder of brain development, hydrocephalus, or an intracranial mass lesion. A project hosted in collaboration with Addenbrooke's.
Automatic Rowing Boat Steering System
[missing app developer] Create a low cost auto pilot aiming system for small boats and rowing boats using the computing power on a mobile phone.
Open Source DNA Imaging System with Raspberry Pi - In Collaboration With
Design and build a DNA imaging system using a Raspberry Pi Camera for use in resource-constrained labs like Biomakespace and our partner labs in Africa.
Deep learning for data validation in industrial formulations and processes
Deep neural networks are implemented to automatically validate and extract inter-property correlations from complex and expensive experimental data. This data is typically recorded at source in a non-systematic way that is prone to error and leads to delays in R&D pipelines. Our deep learning tool, Alchemite, can uniquely interpret numerical data in a way that is consistent across all domains.
Applying Explainable AI to Deep Learning across Industries
Untangle AI has a experimental SDK/toolkit for explaining deep learning models. This project involves testing and improving the toolkit applied to problems such as Breast Cancer and Object Detection.
Create Remixes of Musical Pieces Using Deep Learning
Analyze audio and extract central features using deep learning applied audio and forge remixes by mixing features in complex ways while keeping the identity of the music.
App-Building for those Affected by Allergy-Like MAST - Collaboration with ITIC
Create a platform for patients suffering from MAST and build a profile on what is causing their allergy-like symptoms.
Accelerating Homomorphically-Encrypted Neural Networks on an FPGA
This project seeks to implement an accelerator for homomorphically-encrypted neural networks on an FPGA. We will be competing in the Xilinx Open Hardware 2020 competition, in the Accelerator category.
Building an impact metric through quantitative analysis
[Consulting] InsideUni is a charity that aims to make Oxbridge accessible to everyone. The charity is currently in need of sophisticated analysis of vast datasets to understand the impact of its website and other channels on various stakeholders.
Customer and Volunteer Profiling through analytics
[Consulting] This is a LSC Hackbridge project with SolidariTee that aims to develop a comprehensive and holistic profile of their customers and volunteers to better inform any strategic decisions such as their product lines, community engagement models and marketing campaigns.
Open Source Protein Electrophoresis - In Collaboration With
Design and build an open source, safer, affordable protein gel electrophoresis system for use in resource-constrained labs like Biomakespace and our partner labs in Africa.
Open Source UV Spectrophotometer - In Collaboration With
Design and build an open source UV spectrophotometer for quantifying DNA and proteins for use in resource-constrained labs like Biomakespace and our partner labs in Africa.
Reinforcement learning with a robotic arm- In Collaboration With
Detailed task to be specified in the first meeting, options are robot playing a game like Jenga or Mikado or learning to grasp objects with a passive anthromorphic hand. Details of one option in proposal.
Generative models for 2D and 3D cancer imaging
Developing 2D or 3D GANs to generate medical scans of cancer as a means of data augmentation for cancer segmentation models.
Sensor Fusion for Automated Driving
Reduce computational requirement for multi-level sensor fusion - Implementing full-stack algorithms to allow autonomous navigation of vehicles in virtual hardware environment
Dynamic Vehicle Weight Sensors
The aim of the project is to develop a system to accurately measure the weight of each axle of a lorry as it drives past at highway speed.
Application to Resolve the Knowing Doing Gap
We’re testing a product which helps founders, execs and managers of fast paced companies resolve the knowing-doing gap. The Knowing-Doing Gap is when we are busy and stressed, we forget to apply the behaviours, we know will optimise team performance, and default to old ways.
BitFear: fear indeces for cryptocurrencies
Develop a volatility index for cryptocurrencies
Virtual Metrology on Plasma Etching
Build a machine learning algorithm for predicting the result of a quality test after a plasma etching process taking as input machine variables (temperature, pressure,...) recorded during the process.
Matching and Optimisation Algorithm on Pooled Data
Designing and implementing a data-matching and optimisation algorithm, on encrypted financial and personal data. The project also includes transforming the input data (and as a bonus, integrating your work into our existing user flow).
NLP for News Topic Classification
Natural Language Processing classification algorithm for multi-media news content.
An offshore floating solar power plant manufactured from recycled plastic: sustainable, scalable, rapid-to-deploy, reliable and cost-effective source of power generation..
Designing an Automated Marine Steering System
Designing a low cost auto pilot aiming system for small boats and rowing boats using the computing power on a mobile phone. Proposed by the Founder of Hawk-eye - Paul Hawkins
NLP for News Clustering
Natural Language Processing clustering algorithm for multi-media news content.
Combating Food Waste With Computer Vision
Developing a computer vision algorithm to recognise food ingredients, used for recommending recipes for leftover food.
Image Classification Using a Sequential Attention Mechanism
Developing a new image classification method, in which a neural network looks at an image multiple times before making a decision
Investigating The Gravitational Collapse of Planetary Atmospheres
Study the collapse of planetary atmospheres via hydrodynamic simulations.
Video Generation via Generative Adversarial Networks
Producing realistic video sequences using GANs
Hypervault - Blockchain-based Secure Resource Access System
Designing a secure resource access system that makes it easy to safely share confidential information
6DOF Object Pose Detection from Monocular Images
Re-implementation and possibly extension of a neural network architecture for 6DOF object detection from monocular images.
Beta Go - A Reimplementation of AlphaGo Zero
Reimplementing a scaled down version of Deepmind’s AlphaGo Zero, playing on a 5x5 board
Mandarin Tone Trainer
Using machine learning to develop a system that can recognise and correct Mandarin tones, for people learning the language