Student Projects

2020/21

Individual Projects

  • Lucas Cosier (UCL)
  • Nanxi Zhang (UCL)
  • Zuka Murvanidze (UCL)
  • Alexander Norcliffe (UCL)
  • Antoine Khoury (UCL)
  • Chanel Sadrettin-Brown (UCL)
  • Eiki Shimizu (UCL)
  • Ilana Sebag (UCL)
  • Kai Biegun (UCL)
  • Kamiylah Charles (UCL)
  • Piotr Tarasiewicz (UCL)
  • Ross Murphy (UCL)
  • Rui Li (UCL)

2019/20

Individual Projects

  • Andreas Hochlehnert (UCL): A Contact-Aware Symplectic Integrator Network
  • Carlos Xu (UCL): Autoencoder Gaussian Process for High-Dimensional Bayesian Optimization
  • Lorenzo Minto (UCL): Gaussian Process Regression and Multi-task Learning for Commodity Spot Price Forecasting
  • Michelangelo Conserva (UCL): A Novel Kernel for Ranked Data
  • Neil Leiser (UCL): Nowcasting Solar Photovoltaics Output based on Satellite Images
  • Thomas French (Imperial College): Analyzing Fuel Load from GPS

2018/19

Individual Projects

  • Mergahney Mohammed (AIMS Rwanda): Deep Convolutional Gaussian Process Residual Learning for Image Recognition
  • Jonas Ngnawé (AIMS Rwanda): Scalable Inference with the Wasserstein Barycenter of Distributed GPs
  • Jean Kaddour (Imperial College): Active Learning of Task Space
  • Alexandre Maraval (Imperial College): Robust MPC with Learned Gaussian Process Dynamics Models
  • Samuel Ogunmola (Imperial College): Likelihood-Free Variational Inference and Model-Based Trajectory Matching

2017/18

Individual Projects

  • Zhe Dong (Imperial College): Distributional Robust Adversarial Training
  • Mike Scott (Imperial College): Neural Network Transparency through Comparison to Regression Models

2016/17

Individual Projects

  • Karl Taylor: (Imperial College) Symposter: A Minimally Intrusive Application for Enhancing Poster Session Effectiveness
  • James Gartland (Imperial College)
  • Riccardo de Lutio (Imperial College)
  • Georg Grob (Imperial College): Predicting when customers return: a recurrent neural network-based survival model
  • Pavan Pinnaka (Imperial College): Robust Grasping & Projectile Catching
  • Samuel Coope: Arbitrary Program Generation Using Deep Learning
  • George Ivanov (Imperial College): Deep Generative Models for Musical Notation
  • Charles Avornyo (AIMS Senegal): Algorithm for Large-Scale Bayesian Optimization with Gaussian Processes

Group Projects

  • Paul Vidal, Elyas Addo, Louis Blin, Florian Emile, Corentin Herbinet, Saturnin Pugnet: House Price Predictions in London

2015/16

Individual Projects

  • Rajkumar Conjeevaram Mohan (Imperial College): Speech Recognition using Deep Learning
  • Ahmed Osman (Imperial College): Data Efficient Learning and Control in Partially Observable Markov Decision Processes
  • Ryutaro Oikawa (Imperial College): Variational Inference and Expectation Propagation for State-Space Estimation
  • Steven Kingaby (Imperial College): Postr: The Poster Competition Voting System
  • Bryan Liu (Imperial College): On Overlapping Community-based Networks: Generation, Detection, and their Applications
  • Ross Baker (Imperial College): Unsupervised Learning of Low-Dimensional Representations with Autoencoders
  • Katsushi Minamizono (Imperial College): A Survey of Anomaly Detection Methods using Machine Learning
  • Sanket Kamthe (Imperial College): EEG Data Modelling
  • Simon Olofsson (Uppsala University): Probabilistic Feature Learning Using Gaussian Process Auto-Encoders
  • Mawulolo K. Ameko (AIMS Senegal): Human Motion based Classification of Friedreich’s Ataxia Disease

Group Projects

  • Radu Gheorman, Adela Baciu, Christopher Lockwood, Suryansh Rastogi, Alfonso White: Delta (Imperial College): A London House Price Prediction App
  • Michaelbrian Cheung, Chun Chan, Yuliya Gitlina, Chun Ho, Artem Kalikin, Samuel Wong (Imperial College): Guess my Social Age (Project with Starcount, supervised by Ben Chamberlain)
  • Steven Kingaby, Ilie-Cosmin Paunel, James Stewart, Dharmesh Tailor, Karl Taylor (Imperial College): Parallel Ninja: Practical Topic Modelling on Domains
  • Dragos Dumitrache, Tudor Cosmiuc, Daniel Hernandez, Claudia Mihai, Madalina-Ioana Sas, Alvaro Sevilla (Imperial College):
  • Seek: Topic Modelling and Semantic Interpretation on Unstructured Data

2014/15

Individual Projects

  • Aaron Ng (Imperial College): Machine Learning for a London Housing Price Prediction Mobile Application
  • Pete Turnbull (Imperial College): Predicting the Outcome of Online eBay Auctions using Techniques from Machine Learning
  • John Assael (Imperial College): From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Networks
  • Doniyor Ulmasov (Imperial College): Fast Bayesian Optimization with Dimension Scheduling
  • Adrien Payan (Imperial College): Predicting Car Tyre Degradation in Formula One Races
  • Ioannis Kasidakis (Imperial College): Pit Stop Predictions in Formula One with Machine Learning
  • John Gingell (Imperial College): Data Analysis in the Context of Formula One Racing: State Estimations from Race Car GPS
  • Graham Walker (Imperial College): Race Car Lap Time Prediction from GPS
  • Ian Walker (Imperial College): Deep Convolutional Neural Networks for Brain Computer Interface using Motor Imagery
  • Johan Kestenare (Imperial College): Wearable Sensors for Skier Movement Analysis (with Paul Ginzberg and MotionMetrics)
  • Adrian Millea (Imperial College): Information Geometry for Machine Learning

Group Projects

  • Vitalii Protsenko, Michael Douglas, Sangwon Lee, Ben Magistris, James Rodden, Yeona Kim (Imperial College): Insight — London Housing Price Prediction App, 2015
  • Christophe Steininger, Finlay Curran, Jaime Lennox, Ben Lindsey, Louis Mackie, Thomas Kaplan (Imperial College): AI Racing Challenge, 2015 (Project with G-Research)

2013/14

Individual Projects

  • Jun Wei Ng (Imperial College): Hierarchical Gaussian Processes for Large-Scale Bayesian Regression
  • Yuanruo Liang (Imperial College): Model-based Apprenticeship Learning for Robotics in High-Dimensional Spaces
  • Pedro A Martínez Mediano (Imperial College): Data-Efficient Reinforcement Learning for Autonomous Helicopters

Group Projects

  • Ying Deng, Edward Khon, Yuanruo Liang, Terence Lim, Jun Wei Ng, Lixiaonan Yin (Imperial College): GPU Implementation of Gaussian Processes, 2014
  • Albert Busquets Armengol, Michele Lo Russo, Francesco Perrone (Imperial College): Practical State Representation in the Invasive Species Domain of the Reinforcement Learning Competition