The poster event project is an event that brings together students, university members, and industrial collaborators to showcase the outcomes of Data Science MSc final year projects. It provides an opportunity to discuss data science and to meet one another.
Time: August 15th 2023, 10:30 AM – 12:30 PM
Location: Event Space of the Urban Science Building
1 Science Square
Newcastle Upon Tyne
NE4 5QL
Registration: Registrations for this event are now closed
The event is divided into two sessions:
- Session 1: Statistics, System, Process Modelling, Provenance, Visualization
10:30 AM – 11:15 AM - Session 2: Machine Learning, Image Informatics, Computer Vision, NLP
11:30 AM – 12:30 AM
The posters are available here:
Session 1 – Statistics, Systems, Process Modelling, Provenance, Visualization
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Ramesh-Exploring-the-effect-of-Dopaminergic-medication-on-mobility-in-Parkinsons-Disease-using-Machine-Learning-1024x724.png)
#1 Exploring the effect of dopaminergic medication on mobility in Parkinson’s disease
Gowdham Ramesh
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jones-Modelling-Transfer-Fees-in-Professional-Football-with-an-Emphasis-on-Bayesian-Methods-1024x726.png)
#2 Modelling Transfer Fees in Professional Football with an Emphasis on Bayesian Methods
Peter Jones
Supervisor: Joe Matthews
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Stidolph-DPDS-Evaluating-the-Capabilities-and-Limitations-of-the-Provenance-Tool-1024x722.png)
#3 DPDS: Assessing the Capabilities and Limitations of the Prototype Tool
Matthew Stidolph
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Zheng-Explainable-AI-for-Bone-Cancer-Detection-1024x723.png)
#4 Explainable AI for Bone Cancer Detection
Shipeng Zheng
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Huang-Optimization-of-deep-neural-network-framework-for-discriminating-potato-tubers-using-the-hyperspectral-dataset-1024x768.png)
#6 Understand the tuber disease and greening variation in potato varieties using spectral datasets
Xinghan Huang
Supervisor: Steve McGough
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jayanthi-Satheesh-Process-Modelling-for-Analyzing-Patient-Pathways-During-Hospital-Admission-Spells-1024x722.png)
#7 Process Modelling for Analysing Patient Pathways During Hospital Admission Spells
Chandana Jayanthi Satheesh
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Souter-Modelling-Noise-Pollution-in-Southampton-A-Multi-Variate-Machine-Learning-Approach-1024x768.png)
#8 Modelling noise pollution in Southampton based on urban morphology
Hanna Souter
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Anandan-Analyzing-Patient-Pathways-during-Hospital-Admission-Spells-through-Process-Modeling-1024x724.png)
#9 Analysing Patient Pathways during Hospital Admission Spells through Process Modelling
Jashwant Anandan
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Synnou-Optimizing-office-space-and-asset-management-activities-through-Statistical-analysis-and-Data-science-1024x839.png)
#10 Optimizing Office Space Management through Statistical Analysis and Data Science
Alexia Synnou
Supervisor: Shirley Coleman
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jones-Astro-Statistics-Supervised-Learning-for-Spectral-Classification-of-MPA-JHU-Galaxies-1024x724.png)
#11 Astro-Statistics: Analysing the Sloan Digital Sky Survey Data
Emily Jones
Supervisor: Steffen Grunewalder
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Young-A-Comparative-Analysis-of-Dynamic-Rating-Systems-For-Football-Teams-1024x724.png)
#12 A Comparative Analysis of Dynamic Rating Systems for Football Teams
Jack Young
Supervisor: Daniel Henderson
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Zeng-Statistical-Analysis-of-Seal-Integrity-in-Radioactive-Material-Containers-1024x724.png)
#13 Statistical Analysis of Seal Integrity in Radioactive Material Containers
Jialin Zeng
Supervisor: Matthew Fisher
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Clifford-Enhancing-Player-Performance-Evaluation-in-The-Premier-League-1-1024x756.png)
#15 Enhancing Player Performance Evaluation in The Premier League
Matthew Clifford
Supervisor: Daniel Henderson
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Tong-Modelling-the-Shifting-Calibration-of-Chess-Ratings-1024x768.png)
#16 Modelling the shifting calibration of chess ratings
Mingming Tong
Supervisor: David Walshaw
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Middlemas-Analysis-of-Road-Traffic-Accidents-and-Assessment-of-Predictive-Performance-with-Sparse-Data-1024x724.png)
#17 Spatial Analysis of Road Traffic Accidents to Predict Rates and Locate Areas that Need Improvements
Oliver Middlemas
Supervisor: Joe Matthews
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jia-Sample-Data-Testing-on-Two-Different-Thicknesses-of-3D-Printed-Steels-1024x724.png)
#18 Sample data testing on two different thicknesses of 3D printed steels
Tunan Jia
Supervisor: Chris Oates
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Hou-Performance-comparison-of-classifiers-in-people-with-Parkinsons-disease-turning-data-in-36-months-1024x764.png)
#19 Characterising longitudinal changes in turning performance in people with Parkinson’s disease over 36 months
Zeyu Hou
Supervisor: Steffen Grunewalder
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Medina-Galicia-Measuring-the-performance-of-downsampling-techniques-implemented-on-time-series-data-streams-1024x724.png)
#20 Assessing the performance of downsampling techniques applied in data streams
Gabriel Medina Galicia
Supervisor: Matt Forshaw
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Frodsham-The-Explainability-of-Downsampling-1024x683.png)
#21 Explaining Time Series Downsampling
Morgan Frodsham
Supervisor: Matt Forshaw
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Lavangare-Disaggregation-of-household-water-consumption-using-Hybrid-Deep-Learning-Architecture-1024x573.png)
#22 Disaggregating household water consumption
Omkaar Vikram Lavangare
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Pradeep-Disaggregating-Household-Water-End-Uses-A-Transformer-Based-Approach-1024x733.png)
#23 Disaggregating household water consumption
Prathik Pradeep
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Kumar-Transfer-Learning-For-Energy-Disaggregation-1024x707.png)
#24 Disaggregating household energy consumption
Rohit Kumar
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Moharir-Non-Intrusive-Water-Disaggregation-Improving-Water-End-Use-Consumption-Monitoring-through-Deep-Learning-Techniques-1024x763.png)
#25 Disaggregating household water consumption
Shaunak Moharir
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Zulkarneidi-Echo-Chambers-Detection-1024x728.png)
#26 Visualizing Complex Multivariate and Heterogeneous Data for Understanding Evolving Community Behaviour: An Analysis of Echo Chambers
Aulia Zulkarneidi
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wright-Creating-an-interactive-and-customisable-machine-learning-visualisation-for-NFL-play-prediction-721x1024.png)
#27 Creating a Interactive and Reactive Visualisation for NFL play prediction
Harry Wright
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Yuan-Compare-The-Ocular-Behaviour-of-Novices-and-Visualisation-Experts-1024x576.png)
#28 Compare the ocular behaviour of novices and visualization experts
Harvey Yuan
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wareing-Improving-the-use-of-data-in-the-NHS-Counter-Fraud-Authority-724x1024.png)
#29 Improving the use of NHSCFA Data to aid with performance improvement and work planning
Louisa Wareing
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Chavan-Representing-Data-to-Improve-Policy-Recommendation-on-Corruption-1024x724.png)
#30 Representing data to improve policy recommendation on corruption
Prathamesh Chavan
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Li-Visual-Recommendation-For-Restaurants-Based-on-Online-Reviews-1024x724.png)
#33 Visual recommendations for restaurants based on online reviews
Yuan Li
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wei-Visualization-for-Data-Profiling-1024x724.png)
#34 Visualization for Data Profiling
Yumeng Wei
Supervisor: Sara Fernstad
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Xu-Visual-Analysis-of-Missingness-Patterns-Z-in-Data-Through-Clustering-and-Correlation-1024x724.png)
#35 Visual Analysis of Missingness Patterns in Data Through Clustering and Correlation
Zhuochun Xu
Supervisor: Sara Fernstad
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Li-Freegle-Metrics-Enabling-Seamless-Exploration-of-User-Transaction-Data-1024x724.png)
#36 Understanding if current local boundaries are most effective
Yingru Li
Supervisor: Clement Lee
Session 2 – Machine Learning, Image Informatics, Computer Vision, NLP
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Chikke-Gowda-Analysis-of-OCT-Retina-images-from-UK-Biobank-using-Deep-Learning-1024x724.png)
#1 Biomedical deep learning from 3D retina OCT images of the UK Biobank
Anusha Chikke Gowda
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Lukka-Deep-Learning-of-Facial-Imagery-for-Health-and-Well-Being-Applications-1024x726.png)
#2 Deep learning of facial imagery for health and well-being applications
Gautam Lukka
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Talukdar-Can-You-Judge-a-Book-by-its-Cover-Predicting-a-books-success-using-machine-learning-models-1024x724.png)
#3 Can you judge a book by its cover? Predicting a books success using machine learning models
Georgina Talukdar
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Tan-Enhancing-Robustness-Deepfake-Detection-with-Federated-Learning-1024x768.png)
#4 Deepfake detection
Huinian Tan
Supervisor: Tong Xin
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jaison-Intelligent-Food-Recognition-and-Monitoring-1024x764.png)
#5 Intelligent Food Recognition and Monitoring for patient well-being (INFORM) and food waste monitoring
Joyce Jaison
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/How-Chiap-Kin-Enhancing-Deepfake-Video-Detection-With-Few-Shot-Learning-1024x832.png)
#6 Enhancing Cross-Domain Deepfake Video Detection with Few-Shot Learning
Kwee How Chiap Kin
Supervisor: Tong Xin
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Mukku-Skin-Cancer-Classification-Using-Deep-Learning-Method-A-Study-on-Skin-Cancer-MNIST-Dataset-1024x803.png)
#7 Skin cancer classification using deep learning method
Maheswara Mukku
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Bhardwaj-Self-supervised-Representation-Learning-For-Medical-Image-Processing-1024x768.png)
#8 Self-supervised representation learning for medical image processing
Manish Bhardwaj
Supervisor: Varun Ojha
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Kanchi-Detection-of-Diabetic-Eye-Disease-From-Retinal-Image-Using-Deep-Learning-1024x569.png)
#9 Detection of diabetic eye disease from retinal images using deep learning
Naga Kanchi
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wiriyachaiporn-Computer-Vision-based-planogram-matching-in-retail-businesses-1024x725.png)
#10 Computer vision-based planogram matching in retail businesses
Panida Wiriyachaiporn
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Gurung-Advancements-in-deepfake-detection-Exploring-techniques-to-identify-artifacts-in-images-generated-by-Diffusion-Models-1024x724.png)
#11 Advancements in Deepfake Detection: Exploring Techniques to Identify Synthetic Images
Urmila Gurung
Supervisor: Tong Xin
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Zhang-Detecting-Trace-of-Deepfake-Images-after-Artifact-Removal-Attack-1024x768.png)
#12 Detecting Trace of Deepfake Images after Spectrum Normalization
Zhen Zhang
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Mishra-To-Study-the-Effect-of-Added-Noise-in-Trainability-of-an-Image-Classifier-1024x724.png)
#13 The effect of added noise on the trainability of an image classifier
Himika Mishra
Supervisor: Jacek Cala
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Gitau-A-Robust-medical-image-Segmenta3on-Model-with-a-focus-on-Brain-MRI-images-1024x906.png)
#14 Biomedical image segmentation
Joyce Gitau
Supervisor: Boguslaw Obara
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Yang-A-Feature-based-Registraion-Method-for-Multi-Modal-Medical-Images-1024x724.png)
#15 Multi-modal image processing and data analysis
Lichen Yang
Supervisor: Boguslaw Obara
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Bailung-2D-Empirical-Wavelet-Transform-and-Exponential-Analysis-for-texture-classificatio-1024x724.png)
#16 2D Empirical wavelet transform and exponential analysis for texture classification
Naksatra Bailung
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Hussain-Analysing-Patient-Distribution-in-Different-Categories-within-a-Specific-Hospitals-AE-Department-for-2021-22-A-Comprehensive-Visual-Study-1024x768.png)
#17 Different Factors and indicators that effect the NHS hospitals performance in an A&E situation
Sabrina Hossain
Supervisor: Boguslaw Obara
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Mohandoss-Comparative-Analysis-of-Energy-Disaggregation-Methods-and-Transfer-Learning-for-Performance-Enhancement-1024x724.png)
#18 Comparative Analysis of Energy Disaggregation Methods and Transfer Learning for Performance Enhancement
Akash Mohandoss
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Rajan-Bert-Based-Disease-Prediction-from-Electronic-Health-Record-1024x724.png)
#19 Bert-based disease prediction from electronic health record
Akhil Rajan
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Nautiyal-Early-Cluster-Prediction-for-Patients-with-Multi-Morbidities-1024x725.png)
#20 Using Stability analysis to determine Multi morbidities prevalence and Patient trajectory similarity
Arushi Nautiyal
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Singh-Extreme-Machine-Vision-High-Performance-Neuromorphic-Vision-System-1024x574.png)
#21 High performance neuromorphic vision systems
Subham Singh
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Gopakumar-Sreekala-Predicting-Disease-Clusters-for-A-Patient-1024x724.png)
#23 Predicting disease clusters for a patient based on their stability conditions
Gokul Gopakumar Sreekala
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wang-Smart-Water-Management-Disaggregating-and-Optimizing-Household-Water-Use-through-Supervised-Machine-Learning-1024x724.png)
#24 Smart Water Management: Disaggregating and Optimizing Household Water Use through Supervised Machine Learning
Haozhe Wang
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wang-Building-energy-demand-prediction-Machine-learning-based-energy-demand-forecasting-1024x768.png)
#25 Machine learning-based energy demand forecasting
Honghao Wang
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Calero-Diaz-Interpretable-Machine-Learning-Based-Decision-Support-System-for-Hospital-Readmission-Prediction-1024x724.png)
#26 Building predictive models using machine learning for patient readmission in a UK BioBank cohort of patients
Hugo Calero
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Ravichandran-Analysis-of-large-scale-heterogenous-and-longitudinal-data-from-clinical-studies-for-the-discovery-of-patient-subgroups-1024x669.png)
#27 Analysis of large-scale heterogenous and longitudinal data from clinical studies for the discovery of patient subgroups
Jagadeesh Ravichandran
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Bonnici-Machine-Learning-Approaches-to-predict-Metastatic-cSCC-1024x726.png)
#28 Development and Comparison of Machine Learning Approaches to Predict Metastatic Disease in Cutaneous Squamous Cell Carcinoma
Jake Bonnici
Supervisor: Jaume Bacardit
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wilson-Traffic-Estimation-by-Vehicle-Type-using-Machine-Learning-1024x724.png)
#29 Predicting annual average daily traffic by vehicle type using machine learning techniques
Jordan Wilson
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/McAdoo-Unraveling-the-Beautiful-Game-Decoding-Football-Playstyles-Predicting-the-Effectiveness-of-Counter-Tactics-1024x724.png)
#30 Applying machine learning techniques to football data to find counter tactics
Kieran McAdoo
Supervisor: Boguslaw Obara
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wang-Short-term-Carbon-Emission-Prediction-For-Urban-Transport-Based-On-Machine-Learning-1024x768.png)
#31 Short-term carbon emission intensity prediction for urban transport based on machine learning
Lu Wang
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Kalali-Paithara-Protein-Function-Prediction-1024x614.png)
#32 Protein Function Prediction
Mamatha Kalali Paithara
Supervisor: Phil Lord
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Atru-Prakash-Quantifying-Newcastles-Air-Quality-Machine-Learning-Approaches-for-Pre-During-and-Post-COVID-19-Analysis-in-Air-Quali-1024x768.png)
#33 Quantifying Newcastle’s Air Quality: Machine Learning Approaches for Pre, During, and Post-COVID-19 Analysis in Air Quality
Pruthveesh Atru Prakash
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Carasala-Joe-Dominic-Stock-Market-Portfolio-Creation-with-Machine-Learning-1024x768.png)
#34 Stock market portfolio creation with machine learning
Richard Carasala Joe Domnic
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Malik-Annual-Average-Daily-Traffic-Estimation-in-Liverpool-1024x724.png)
#35 Annual average daily traffic estimation in England
Rishabh Malik
Supervisor: Tatiana Alvares-Sanches
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Muhammed-Ali-Deep-bidirectional-transformers-for-predictive-health-care-1024x768.png)
#36 Deep Bidirectional Transformers for Predictive Health Care
Sahla Muhammed Ali
Supervisor: Paolo Missier
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Li-Research-on-User-Classification-and-Behavioural-Analysis-and-Visualisation-Based-on-Taobao-Users-Purchasing-Behaviour-1024x683.png)
#38 User classification and Behaviour Analysis based on the Purchasing behaviour of Chinese Taobao users
Siyuan Li
Supervisor: Alma Cantu
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Paul-Impact-of-The-Use-of-Weather-Information-on-The-Accuracy-of-Power-Production-Models-for-Offshore-Wind-Turbines-1024x724.png)
#39 Impact of the use of weather information on the accuracy of power production models for offshore wind turbines
Vinit Paul
Supervisor: Jacek Cala
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Borikar-Deep-Learning-based-methods-to-understand-signalling-dynamics-in-Intestinal-Stem-Cells-ISCs-1024x768.png)
#40 Deep learning-based methods to understand signalling dynamics in intestinal stem cells
Yash Borikar
Supervisor: Deepayan Bhowmik
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Wu-Machine-Learning-Based-Carbon-Emission-Prediction-for-Registered-Vehicles-1024x724.png)
#41 Carbon emissions prediction for oil, hybrid and electric vehicles based by machine learning
Youyang Wu
Supervisor: Wanqing Zhao
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Uniyal-Predicting-Parkinsons-disease-using-self-supervised-learning-by-analysing-speech-signals-1024x724.png)
#42 NLP for Disease analysis (Self supervised learning)
Ashwin Uniyal
Supervisor: Varun Ojha
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Kaye-Semantic-Textual-Similarity-of-University-Module-Catalogue-Entries-1024x723.png)
#43 Analysing Semantic Textual Similarity of University Module Catalogue Entries for Linking Modules Comparable in Content
Luke Kaye
Supervisor: Matthew Fisher
![](https://blogs.ncl.ac.uk/datascienceandaimsc/files/2023/09/Jung-Speaker-Extraction-from-Literature-using-Transformer-Based-Models-1024x576.png)
#44 Character Profiling in Literature using Natural Language Processing
Subin Jung
Supervisor: Huizhi Liang