This exciting event showcases the innovative and impactful final year projects of our MSc Data Science students. Attendees will have the opportunity to explore a diverse range of data science applications through student posters, engage in insightful discussions, and network with students and university members.
This event is a unique platform for sharing knowledge, fostering connections, and celebrating the achievements of our students in the field of data science. Don’t miss the chance to witness cutting-edge data science research and meet the bright minds behind these projects.
Time and Date
Location: Atrium (Entrance Hall)
Urban Science Building
1 Science Square
Newcastle upon Tyne
NE4 5TG
Date: 13th of August 2024
Time: 11:30 – 13:30 BST (lunch will be provided)
Attending
To attend, please book a ticket at the following link: Eventbrite Link
Recording Notice: Please be advised that by attending this event, you consent to being filmed and/or photographed. The resulting materials may be used for university marketing or promotional purposes. If you do not wish to be photographed or recorded on video, please notify one of the event photographers or videographers or contact computing.datascience@newcastle.ac.uk.
This event is free to attend and open to anyone with an interest in Data Science, so please do not hesitate to share this widely.
More Information
For more information, including proposing a project next year, please contact computing.datascience@newcastle.ac.uk.
Past Events
Plan
List of Posters
Theory of Statistical Data Science
#1 Learning Bayesian network structures from data
Mao Danlin
Supervisor: Kevin Wilson
#2 Computational Techniques in Gaussian Processes: A Comprehensive Evaluation
Feng Yiyang
Supervisor: Jere Koskela
Temporal Data Analysis
#3 Time Series Modelling of Carbon Emissions
Zhang Duby
Supervisor: Marika Asgari
#4 Reinforcement Learning in the Market
Davies Luo
Supervisor: Matthew Fisher
#5 Spatial and Temporal Analysis of Rough Sleeping in the UK
Wang Mingjun
Supervisor: Chris Oates
#6 Statistical Analysis for Generic Medicine Prices
Deng Wei
Supervisor: Hongsheng Dai
Applications of Statistical Data Science
#7 Predicting Exchange Outcomes from Conversational Data: A Supervised Learning Approach in Charity Platforms
Liu Chenxin
Supervisor: Clement Lee
#8 Mixed Effects Modelling of Prefrontal Cortex Activity: Insights into Parkinson’s Disease and its Effect on Complex Walking
Kristina Evering
Supervisor: Alex Svalova
#9 Unlock the Complexities of the Universe with Machine Learning Simulations
Zhang Harry
Supervisor: Marika Asgari
#10 Parkrun Data Analysis
Su Jinwen
Supervisor: Shirley Coleman
#11 Developing statistical methods for next generation satellite missions
Zhu Ruiqi
Supervisor: Markus Rau
#12 The 12th Man: Do Football Fans Improve Team Performance?
Tian Sara Johansson Fernstadh
Supervisor: Joe Matthews
#13 Football Transfer Fee Prediction Model: A Machine Learning and Statistical Analysis Approach
Yi Siney
Supervisor: Joe Matthews
#14 A stacking-based ensemble learning method for Global CO2 emissions prediction
Fan Wenyun
Supervisor: Marika Asgari
#15 Predicting Exchange Outcomes from Conversational Data: A Supervised Learning Approach in Charity Platforms
Su Yi
Supervisor: Clement Lee
Environmental Statistics
#16 Modelling Extreme Losses of
Netflix Stock Prices
Chen Francis
Supervisor: Vianey Palacios
#17 Simulating the extreme climate of the Gulf of Mexico
Shuhan Guo
Supervisor: Lee Fawcett
#18 Comparative Analysis of CO2 Emissions and Economic Growth: A Machine Learning Study of Developed and Developing Countries
Tian Jiwei
Supervisor: Marika Asgari
#19 Analysis of extreme temperature and precipitation in North England
Nong Kathy
Supervisor: Vianey Palacios
#20 The Modeling and Prediction of CO2 Emissions Based on GDP and Population
Chen Meicen
Supervisor: Marika Asgari
#21 Exploring rainfall patterns after dry periods in the UK
Yu Zhoufei
Supervisor: Markus Rau
Environmental and Social Sciences
#22 From Data Streams to Actionable Insights: Smart Energy Meter Analysis
Khandekar Mahammad Galib
Supervisor: Matthew Forshaw
#23 Exploring economic inactivity due to long-term sickness in Newcastle
Rutuja Jagtap
Supervisors: Kate Sheffer (Newcastle City Council), Nafisa Insan (Newcastle City Council), Daniel Archambault
#24 Navigating Hydrological Extremes: A Study of Drought-Flood Sequences in the UK’
Alexandros Modestou
Supervisor: David Walshaw
#25 Enhanced Energy Management System using Machine Learning
Adithyaa Salla Sundaram
Supervisor: Wanqing Zhao
#26 Are Newcastle house prices impacted by air pollution?
Tilly Stephenson
Supervisor: Tatiana Alvares-Sanches
#27 Predictive maintenance of water supply pumps based on machine learning
Yingting Yang
Supervisor: Wanqing Zhao
#28 Carbon Intensity Forecasting of Power Grids by Machine Learning
Savier Meledath Jacob
Supervisor: Wanqing Zhao
#29 Use GIS and AI techniques to understand the canopy and disease variation in potato and wheat varietal plots
Praveen Murugan
Supervisor: Deepayan Bhowmik
#30 Optimisation of site selection for the location of offshore wind farms
Sandra Niño Arbelaez
Supervisor: Tatiana Alvares-Sanches
Healthcare and Medical Imaging
#31 Utilising AI to help assist doctors under NICE guidelines
Mahirul Islam
Supervisors: Sandip Kafle (UpaCare), Navdeep Nath (UpaCare), Huizhi Liang
#33 Self-supervised learning for medical image/video processing
Jianfei Xu
Supervisor: Huizhi Liang
#34 Investigating the impact of ageing and Parkinson’s disease on the gait cycle using mixed effect models
Feijing Chen
Supervisor: Alex Svalova
#35 Predictive Modelling for CBT Treatment Outcomes
George Williamson-Snape
Supervisor: Huizhi Liang
#36 Reconstruction of human activity from synthetically generated data using inertial motion sensors
Koustav Barik
Supervisor: Jacek Cala (NICD)
#37 Development and Comparison of Machine Learning Approaches to Predict Metastatic Disease in Cutaneous Squamous Cell Carcinoma
Bryn Jones
Supervisor: Jaume Bacardit
#38 Integrating NLP and Machine Learning for Mental Health
Jones Kirubakaran
Supervisor: Huizhi Liang
#40 Transfer Learning for Enhanced Classification of Common and Rare Lymphoma Types in Medical Imaging
Dimitrios Poulimenos
Supervisor: Tong Xin
#41 Enhancing Diagnostic Accuracy of Non-Hodgkin’s Lymphoma Subtypes Using Transfer Learning: A Study on Chronic Lymphocytic Leukemia, Follicular Lymphoma, and Mantle Cell Lymphoma Classification from Medical Images
Alexantros Tamboutsiaris
Supervisor: Tong Xin
Data Analytics and Visualisation
#42 Identifying Vendors using Topological Data Analysis methods
Deepika Chandramouli
Supervisors: Mahbub Gani (Sage), Tong Xin
#43 Investigating combinatorial optimisation in breeding groups with multi-objective constraints
Alice Galatola
Supervisor: Matthew Forshaw
#44 The use of data sonification as an aid to understanding data
James Harrison
Supervisor: Tatiana Alvares-Sanches
#45 Analysis of electric vehicle charging station usage and profitability in UK based on real time data
Kaustubh Kulkarni
Supervisor: Sanchari Deb
46 A Comparative Analysis of Perception and Interpretation in 2D and Stereoscopic 3D Environments
Rongwei Zhang
Supervisor: Alma Cantu
#47 Visualization for Data Profiling
Astle Arockiaraj
Supervisor: Sara Johansson Fernstad
#48 Beyond Aesthetics: Understanding Dimensions in Data Story Design
Preethi Asokan
Supervisor: Xinhuan Shu
Computer Vision and Robotics
#49 Remote sensing classification using Quantum Image Processing
Hrithik Kumar
Supervisor: Deepayan Bhowmik
#50 Real-Time Monitoring of Urban Drainage Systems Using Street-Level Image Analysis and Machine Learning
Siyin Li
Supervisors: Maria-Valasia Peppa, Xinhuan Shu
#51 The effect of added noise on the trainability of an image classifier
Sara Johansson Fernstadh Moin
Supervisor: Jacek Cala (NICD)
#52 Detection of multiple documents from photos using computer vision / AI
Mohamed Aljaz
Supervisors: Ernest Chow (Sage), Charanpal Dhanjal (Sage), Boguslaw Obara
#53 Rapid Localisation and Mapping of Unmapped Terrain for Autonomous Vehicle Navigation
Abdullah Alshadadi
Supervisor: Chris Holder
#54 Tackling fake media
Zhuzikai Zheng
Supervisor: Deepayan Bhowmik
Machine Learning and Generative AI
#55 Evaluation of Model Compression Techniques in Federated Learning under Bandwidth Constraints
Vaishnavi Jeurkar
Supervisors: Peter Michalak (NICD), Jacek Cala (NICD)
#56 Constructing a Comprehensive Human-Level Attributes Lexicon
Ambika Reddy
Supervisor: Huizhi Liang
#57 Bringing Emerging Technologies Together – A Media Monitoring Tool (BettMMT)
Joe Bett
Supervisor: Alma Cantu
#58 Personalized Music Generation and Recommendation for Art Works: Research Based on Multimodal Model
Jalynn Hong
Supervisor: Huizhi Liang
#59 Optimizing Electric Vehicle Charging Infrastructure through Comprehensive Data Analysis
Elsun Nabatov
Supervisor: Sanchari Deb
#60 Optimising car sharing profitability with a regional pricing strategy
Tejas Navalkhe
Supervisors: Richard Falconer (Co-wheels), Robert Schopen (Co-wheels), Alma Cantu
#61 Exploring the domain of Quantum Machine Learning and its relevance with advantages over classical machine learning
Judah Rajarathnam
Supervisor: Abolfazl Lavaei, Vladimiro Gonzalez
#62 Continual Learning in Deep Networks
Konrad Sobczak
Supervisor: Mehmet Cengiz, Daniel Archambault