Poster Event 2023

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​

#1 Exploring the effect of dopaminergic medication on mobility in Parkinson’s disease
Gowdham Ramesh

Supervisor: Jaume Bacardit

#2 Modelling Transfer Fees in Professional Football with an Emphasis on Bayesian Methods​
​Peter Jones​

Supervisor: Joe Matthews

#3 DPDS: Assessing the Capabilities and Limitations of the Prototype Tool​
Matthew Stidolph

Supervisor: Paolo Missier

#4 Explainable AI for Bone Cancer Detection
​​Shipeng Zheng

Supervisor: Deepayan Bhowmik

#6 Understand the tuber disease and greening variation in potato varieties using spectral datasets
​​Xinghan Huang

Supervisor: Steve McGough

#7 Process Modelling for Analysing Patient Pathways During Hospital Admission Spells
​Chandana Jayanthi Satheesh

Supervisor: Paolo Missier

#8 Modelling noise pollution in Southampton based on urban morphology​
​Hanna Souter

Supervisor: Tatiana Alvares-Sanches

#9 Analysing Patient Pathways during Hospital Admission Spells through Process Modelling​
​​Jashwant Anandan

Supervisor: Paolo Missier

#10 Optimizing Office Space Management through Statistical Analysis and Data Science
​Alexia Synnou

Supervisor: Shirley Coleman

#11 Astro-Statistics: Analysing the Sloan Digital Sky Survey Data
​Emily Jones

Supervisor: Steffen Grunewalder

#12 A Comparative Analysis of Dynamic Rating Systems for Football Teams​
​Jack Young

Supervisor: Daniel Henderson

#13 Statistical Analysis of Seal Integrity in Radioactive Material Containers​
​​Jialin Zeng

Supervisor: Matthew Fisher

#15 Enhancing Player Performance Evaluation in The Premier League
​​Matthew Clifford

Supervisor: Daniel Henderson

#16 Modelling the shifting calibration of chess ratings
​Mingming Tong

Supervisor: David Walshaw

#17 Spatial Analysis of Road Traffic Accidents to Predict Rates and Locate Areas that Need Improvements​
Oliver Middlemas

Supervisor: Joe Matthews

#18 Sample data testing on two different thicknesses of 3D printed steels​
​Tunan Jia

Supervisor: Chris Oates

#19 Characterising longitudinal changes in turning performance in people with Parkinson’s disease over 36 months
​Zeyu Hou

Supervisor: Steffen Grunewalder

#20 Assessing the performance of downsampling techniques applied in data streams​
​Gabriel Medina Galicia

Supervisor: Matt Forshaw

#21 Explaining Time Series Downsampling​
​Morgan Frodsham

Supervisor: Matt Forshaw

​#22 Disaggregating household water consumption​
​Omkaar Vikram Lavangare

Supervisor: Wanqing Zhao

​#23 Disaggregating household water consumption
​Prathik Pradeep

Supervisor: Wanqing Zhao

​#24 Disaggregating household energy consumption
​Rohit Kumar

Supervisor: Wanqing Zhao

#25 Disaggregating household water consumption
​Shaunak Moharir

Supervisor: Wanqing Zhao

#26 Visualizing Complex Multivariate and Heterogeneous Data for Understanding Evolving Community Behaviour: An Analysis of Echo Chambers​
​Aulia Zulkarneidi

Supervisor: Alma Cantu

#27 Creating a Interactive and Reactive Visualisation for NFL play prediction
​Harry Wright

Supervisor: Alma Cantu

#28 Compare the ocular behaviour of novices and visualization experts
​Harvey Yuan

Supervisor: Alma Cantu

#29 Improving the use of NHSCFA Data to aid with performance improvement and work planning
​Louisa Wareing

Supervisor: Alma Cantu

#30 Representing data to improve policy recommendation on corruption​
​Prathamesh Chavan

Supervisor: Alma Cantu

#33 Visual recommendations for restaurants based on online reviews​
Yuan Li

Supervisor: Alma Cantu

#34 Visualization for Data Profiling
​Yumeng Wei

Supervisor: Sara Fernstad

#35 Visual Analysis of Missingness Patterns in Data Through Clustering and Correlation​
​Zhuochun Xu

Supervisor: Sara Fernstad

#36 Understanding if current local boundaries are most effective
​Yingru Li

Supervisor: Clement Lee

Session 2 – Machine Learning, Image Informatics, Computer Vision, NLP​

#1 Biomedical deep learning from 3D retina OCT images of the UK Biobank​
​Anusha Chikke Gowda

Supervisor: Jaume Bacardit

#2 Deep learning of facial imagery for health and well-being applications​
​Gautam Lukka

Supervisor: Jaume Bacardit

#3 Can you judge a book by its cover? Predicting a books success using machine learning models​
​Georgina Talukdar

Supervisor: Jaume Bacardit

#4 Deepfake detection​
​Huinian Tan

Supervisor: Tong Xin

#5 Intelligent Food Recognition and Monitoring for patient well-being (INFORM) and food waste monitoring​
​Joyce Jaison

Supervisor: Deepayan Bhowmik

#6 Enhancing Cross-Domain Deepfake Video Detection with Few-Shot Learning​
​Kwee How Chiap Kin

Supervisor: Tong Xin

#7 Skin cancer classification using deep learning method​
​Maheswara Mukku

Supervisor: Tatiana Alvares-Sanches

#8 Self-supervised representation learning for medical image processing​
​Manish Bhardwaj

Supervisor: Varun Ojha

#9 Detection of diabetic eye disease from retinal images using deep learning​
​Naga Kanchi

Supervisor: Tatiana Alvares-Sanches

#10 Computer vision-based planogram matching in retail businesses​
​Panida Wiriyachaiporn

Supervisor: Deepayan Bhowmik

#11 Advancements in Deepfake Detection: Exploring Techniques to Identify Synthetic Images​
​Urmila Gurung

Supervisor: Tong Xin

#12 Detecting Trace of Deepfake Images after Spectrum Normalization​
​Zhen Zhang

Supervisor: Deepayan Bhowmik

#13 The effect of added noise on the trainability of an image classifier​
​Himika Mishra

Supervisor: Jacek Cala

#14 Biomedical image segmentation​
​Joyce Gitau

Supervisor: Boguslaw Obara

#15 Multi-modal image processing and data analysis​
​Lichen Yang

Supervisor: Boguslaw Obara

#16 2D Empirical wavelet transform and exponential analysis for texture classification​
​Naksatra Bailung

Supervisor: Deepayan Bhowmik

#17 Different Factors and indicators that effect the NHS hospitals performance in an A&E situation​
​Sabrina Hossain

Supervisor: Boguslaw Obara

#18 Comparative Analysis of Energy Disaggregation Methods and Transfer Learning for Performance Enhancement​
​Akash Mohandoss

Supervisor: Wanqing Zhao

#19 Bert-based disease prediction from electronic health record​
​Akhil Rajan

Supervisor: Paolo Missier

#20 Using Stability analysis to determine Multi morbidities prevalence and Patient trajectory similarity​
​Arushi Nautiyal

Supervisor: Paolo Missier

#21 High performance neuromorphic vision systems​
​Subham Singh

Supervisor: Deepayan Bhowmik

#23 Predicting disease clusters for a patient based on their stability conditions​
​Gokul Gopakumar Sreekala

Supervisor: Paolo Missier

#24 Smart Water Management: Disaggregating and Optimizing Household Water Use through Supervised Machine Learning​
​Haozhe Wang

Supervisor: Wanqing Zhao

#25 Machine learning-based energy demand forecasting​
​Honghao Wang

Supervisor: Wanqing Zhao

#26 Building predictive models using machine learning for patient readmission in a UK BioBank cohort of patients​
​Hugo Calero

Supervisor: Paolo Missier

#27 Analysis of large-scale heterogenous and longitudinal data from clinical studies for the discovery of patient subgroups​
​Jagadeesh Ravichandran

Supervisor: Jaume Bacardit

#28 Development and Comparison of Machine Learning Approaches to Predict Metastatic Disease in Cutaneous Squamous Cell Carcinoma​
​Jake Bonnici

Supervisor: Jaume Bacardit

#29 Predicting annual average daily traffic by vehicle type using machine learning techniques​
​Jordan Wilson

Supervisor: Tatiana Alvares-Sanches

#30 Applying machine learning techniques to football data to find counter tactics​
​Kieran McAdoo

Supervisor: Boguslaw Obara

#31 Short-term carbon emission intensity prediction for urban transport based on machine learning​
​Lu Wang

Supervisor: Wanqing Zhao

#32 Protein Function Prediction
Mamatha Kalali Paithara

Supervisor: Phil Lord

#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

#34 Stock market portfolio creation with machine learning
​Richard Carasala Joe Domnic

Supervisor: Tatiana Alvares-Sanches

#35 Annual average daily traffic estimation in England​
​Rishabh Malik

Supervisor: Tatiana Alvares-Sanches

#36 Deep Bidirectional Transformers for Predictive Health Care​
​Sahla Muhammed Ali

Supervisor: Paolo Missier

#38 User classification and Behaviour Analysis based on the Purchasing behaviour of Chinese Taobao users​
​Siyuan Li

Supervisor: Alma Cantu

#39 Impact of the use of weather information on the accuracy of power production models for offshore wind turbines​
​Vinit Paul

Supervisor: Jacek Cala

#40 Deep learning-based methods to understand signalling dynamics in intestinal stem cells​
​Yash Borikar

Supervisor: Deepayan Bhowmik

#41 Carbon emissions prediction for oil, hybrid and electric vehicles based by machine learning​
​Youyang Wu

Supervisor: Wanqing Zhao

#42 NLP for Disease analysis (Self supervised learning)​
​Ashwin Uniyal

Supervisor: Varun Ojha

#43 Analysing Semantic Textual Similarity of University Module Catalogue Entries for Linking Modules Comparable in Content​
​Luke Kaye

Supervisor: Matthew Fisher

#44 Character Profiling in Literature using Natural Language Processing​
​Subin Jung

Supervisor: Huizhi Liang