Teaching
Modules for 2024-25
Instrumentation & Control
Module code: ELEC207
Role: Teaching
Supervised Theses
- A Novel Approach to Imaging using a Dual Field-of-View Sensor
- An Exploration of Traffic Signal Control using Multi-agent Market-based Mechanisms
- An Investigation into Trust and Reputation Frameworks for Autonomous Underwater Vehicles
- Analysing Large-scale Surveillance Video
- Bayesian methods for protein quantification in mass spectrometry proteomics
- Comparing target tracking algorithms
- Developing a Hybrid Machine Learning Model for VELO Upgrade Track Reconstruction
- Disease Surveillance using Bayesian Methods
- Distributed Hypothesis Generation & Evaluation
- Enhancing Sensor Performance with Statistical Data Analytics
- Examining Rapport Based Approaches with High Value Suspects
- Fast Bayesian Deep Learning
- Improved Signal Detection of Drug-Drug Interactions in the Post-Marketing Phase: Reference Sets, Quantitative Methods and Systems Pharmacology Aspects
- Improving Efficiency and Accuracy of Safety Related Algorithms for Unmanned Aircraft Systems
- Integrating Uncertainty in Memory-Preserving Neural Networks: A Biological Memory and Bayesian Approach
- Mathematical Models and Monte-Carlo Algorithms for Improved Detection of Targets in the Commercial Maritime Domain
- Multi-target detection and tracking using Distributed Acoustic Sensing
- Multiple-Object Estimation Techniques for Challenging Scenarios
- Parallelised Bayesian Optimisation for Deep Learning
- Scalability and Interpretability in Tree-Based Machine Learning: A Bayesian Ensemble Learning Approach
- Scalability and Interpretability in Tree-Based Machine Learning: A Bayesian Ensemble Learning Approach
- Scalable Sequential Monte Carlo Samplers for Numerical Bayesian Inference
- Sequential Monte Carlo Samplers for Structure Discovery
- Some Monte Carlo Methods and Their Application to Bayesian Inference
- Streaming Multi-core Sample-based Bayesian Analysis
- The Air Defence Task: Understanding what motivates automation usage to support classification decisions in practice
- The Mechanical Psychologist: How Computational Techniques Can Aid Social Researchers in the Analysis of High-Stakes Conversation