Projects

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]

  • Segmentation Network to Locate and Predict Damage to Bikes

    For teams managing shared bikes and e-scooters, they currently have no way to see or predict what types of issues will happen. This leads to endless support tasks and frustration for riders. We aim to solve this by building machine learning models to input an image and output a prediction of the type of damage and location of damage on the vehicle.

  • Dashboard for a Solar-Electric Vehicle

    The project is a user interface for an electric vehicle that displays vehicle information such as speed, battery charge, etc.

  • [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.

  • Develop a demand forecasting time series models and MIP optimisers.

    PreWarp is focused on helping fashion brands earn more and waste less. We are building demand forecasting and revenue-maximising models using data science and mathematical optimisation algorithms.

  • Perform unsupervised clustering of documents to detect similarities.

    Explore datasets of pdf documents (images) using unsupervised learning techniques like clustering and anomaly detection methods.

  • “Computer! Sort Out my PDF”: Build an ML model that identifies the structure of a pdf containing multiple documents

    Extend our ML service which aims to classify and paginate documents in a PDF using computer vision and natural language processing techniques.

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.

  • [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.

  • 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.

Past Projects

  • 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.

  • HelioRec

    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

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