\n\t\t\t\tList of Posters<\/h2>\n\n\n\nTheory of Statistical Data Science <\/h3>\n\n\n\n #1 Learning Bayesian network structures from data<\/strong>Supervisor: Kevin Wilson<\/em><\/p>\n\n\n\n#2 Computational Techniques in Gaussian Processes: A Comprehensive Evaluation <\/strong> Supervisor: Jere Koskela<\/em><\/p>\n\n\n\nTemporal Data Analysis<\/h3>\n\n\n\n #3 Time Series Modelling of Carbon Emissions <\/strong> Supervisor: Marika Asgari<\/em><\/p>\n\n\n\n #4 Reinforcement Learning in the Market <\/strong> Supervisor: Matthew Fisher<\/em><\/p>\n\n\n\n #5 Spatial and Temporal Analysis of Rough Sleeping in the UK <\/strong> Supervisor: Chris Oates<\/em><\/p>\n\n\n\n #6 Statistical Analysis for Generic Medicine Prices <\/strong> Supervisor: Hongsheng Dai<\/em><\/p>\n\n\n\nApplications of Statistical Data Science <\/h3>\n\n\n\n #7 Predicting Exchange Outcomes from Conversational Data: A Supervised Learning Approach in Charity Platforms <\/strong> Supervisor: Clement Lee<\/em><\/p>\n\n\n\n #8 Mixed Effects Modelling of Prefrontal Cortex Activity: Insights into Parkinson’s Disease and its Effect on Complex Walking <\/strong> Supervisor: Alex Svalova<\/em><\/p>\n\n\n\n #9 Unlock the Complexities of the Universe with Machine Learning Simulations <\/strong> Supervisor: Marika Asgari<\/em><\/p>\n\n\n\n #10 Parkrun Data Analysis <\/strong> Supervisor: Shirley Coleman<\/em><\/p>\n\n\n\n #11 Developing statistical methods for next generation satellite missions <\/strong> Supervisor: Markus Rau<\/em><\/p>\n\n\n\n #12 The 12th Man: Do Football Fans Improve Team Performance? <\/strong> Tian Sara Johansson Fernstadh<\/strong> Supervisor: Joe Matthews<\/em><\/p>\n\n\n\n #13 Football Transfer Fee Prediction Model: A Machine Learning and Statistical Analysis Approach <\/strong> Supervisor: Joe Matthews<\/em><\/p>\n\n\n\n #14 A stacking-based ensemble learning method for Global CO2 emissions prediction <\/strong> Supervisor: Marika Asgari<\/em><\/p>\n\n\n\n #15 Predicting Exchange Outcomes from Conversational Data: A Supervised Learning Approach in Charity Platforms <\/strong> Supervisor: Clement Lee<\/em><\/p>\n\n\n\nEnvironmental Statistics <\/h3>\n\n\n\n #16 Modelling Extreme Losses of<\/strong> Netflix Stock Prices<\/strong> Supervisor: Vianey Palacios<\/em><\/p>\n\n\n\n #17 Simulating the extreme climate of the Gulf of Mexico <\/strong> Supervisor: Lee Fawcett <\/em><\/p>\n\n\n\n #18 Comparative Analysis of CO2 Emissions and Economic Growth: A Machine Learning Study of Developed and Developing Countries <\/strong> Supervisor: Marika Asgari<\/em><\/p>\n\n\n\n #19 Analysis of extreme temperature and precipitation in North England<\/strong> Supervisor: Vianey Palacios<\/em><\/p>\n\n\n\n #20 The Modeling and Prediction of CO2 Emissions Based on GDP and Population <\/strong> Supervisor: Marika Asgari<\/em><\/p>\n\n\n\n #21 Exploring rainfall patterns after dry periods in the UK <\/strong> Supervisor: Markus Rau<\/em><\/p>\n\n\n\nEnvironmental and Social Sciences<\/h3>\n\n\n\n #22 From Data Streams to Actionable Insights: Smart Energy Meter Analysis <\/strong> Supervisor: Matthew Forshaw<\/em><\/p>\n\n\n\n #23 Exploring economic inactivity due to long-term sickness in Newcastle <\/strong> Supervisors: Kate Sheffer (Newcastle City Council), Nafisa Insan (Newcastle City Council), Daniel Archambault<\/em><\/p>\n\n\n\n #24 Navigating Hydrological Extremes: A Study of Drought-Flood Sequences in the UK’ <\/strong> Supervisor: David Walshaw<\/em><\/p>\n\n\n\n #25 Enhanced Energy Management System using Machine Learning <\/strong> Supervisor: Wanqing Zhao<\/em><\/p>\n\n\n\n #26 Are Newcastle house prices impacted by air pollution? <\/strong> Supervisor: Tatiana Alvares-Sanches<\/em><\/p>\n\n\n\n #27 Predictive maintenance of water supply pumps based on machine learning <\/strong> Supervisor: Wanqing Zhao<\/em><\/p>\n\n\n\n #28 Carbon Intensity Forecasting of Power Grids by Machine Learning <\/strong> Supervisor: Wanqing Zhao<\/em><\/p>\n\n\n\n #29 Use GIS and AI techniques to understand the canopy and disease variation in potato and wheat varietal plots <\/strong> Supervisor: Deepayan Bhowmik<\/em><\/p>\n\n\n\n #30 Optimisation of site selection for the location of offshore wind farms <\/strong> Supervisor: Tatiana Alvares-Sanches<\/em><\/p>\n\n\n\nHealthcare and Medical Imaging<\/h3>\n\n\n\n #31 Utilising AI to help assist doctors under NICE guidelines <\/strong> Supervisors: Sandip Kafle (UpaCare), Navdeep Nath (UpaCare), Huizhi Liang<\/em><\/p>\n\n\n\n #33 Self-supervised learning for medical image\/video processing <\/strong> Supervisor: Huizhi Liang<\/em><\/p>\n\n\n\n #34 Investigating the impact of ageing and Parkinson\u2019s disease on the gait cycle using mixed effect models <\/strong> Supervisor: Alex Svalova<\/em><\/p>\n\n\n\n #35 Predictive Modelling for CBT Treatment Outcomes <\/strong> Supervisor: Huizhi Liang<\/em><\/p>\n\n\n\n #36 Reconstruction of human activity from synthetically generated data using inertial motion sensors <\/strong> Supervisor: Jacek Cala (NICD)<\/em><\/p>\n\n\n\n #37 Development and Comparison of Machine Learning Approaches to Predict Metastatic Disease in Cutaneous Squamous Cell Carcinoma <\/strong> Supervisor: Jaume Bacardit<\/em><\/p>\n\n\n\n #38 Integrating NLP and Machine Learning for Mental Health <\/strong> Supervisor: Huizhi Liang<\/em><\/p>\n\n\n\n #40 Transfer Learning for Enhanced Classification of Common and Rare Lymphoma Types in Medical Imaging <\/strong> Supervisor: Tong Xin<\/em><\/p>\n\n\n\n#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 <\/strong> Supervisor: Tong Xin<\/em><\/p>\n\n\n\nData Analytics and Visualisation<\/h3>\n\n\n\n #42 Identifying Vendors using Topological Data Analysis methods <\/strong> Supervisors: Mahbub Gani (Sage), Tong Xin<\/em><\/p>\n\n\n\n #43 Investigating combinatorial optimisation in breeding groups with multi-objective constraints <\/strong> Supervisor: Matthew Forshaw<\/em><\/p>\n\n\n\n#44 The use of data sonification as an aid to understanding data <\/strong> Supervisor: Tatiana Alvares-Sanches<\/em><\/p>\n\n\n\n #45 Analysis of electric vehicle charging station usage and profitability in UK based on real time data <\/strong> Supervisor: Sanchari Deb<\/em><\/p>\n\n\n\n 46 A Comparative Analysis of Perception and Interpretation in 2D and Stereoscopic 3D Environments <\/strong> Supervisor: Alma Cantu<\/em><\/p>\n\n\n\n #47 Visualization for Data Profiling <\/strong> Supervisor: Sara Johansson Fernstad<\/em><\/p>\n\n\n\n #48 Beyond Aesthetics: Understanding Dimensions in Data Story Design <\/strong> Supervisor: Xinhuan Shu<\/em><\/p>\n\n\n\nComputer Vision and Robotics<\/h3>\n\n\n\n #49 Remote sensing classification using Quantum Image Processing <\/strong> Supervisor: Deepayan Bhowmik<\/em><\/p>\n\n\n\n #50 Real-Time Monitoring of Urban Drainage Systems Using Street-Level Image Analysis and Machine Learning <\/strong> Supervisors: Maria-Valasia Peppa, Xinhuan Shu<\/em><\/p>\n\n\n\n #51 The effect of added noise on the trainability of an image classifier <\/strong> Supervisor: Jacek Cala (NICD)<\/em><\/p>\n\n\n\n #52 Detection of multiple documents from photos using computer vision \/ AI <\/strong> Supervisors: Ernest Chow (Sage), Charanpal Dhanjal (Sage), Boguslaw Obara<\/em><\/p>\n\n\n\n #53 Rapid Localisation and Mapping of Unmapped Terrain for Autonomous Vehicle Navigation<\/strong> Supervisor: Chris Holder<\/em><\/p>\n\n\n\n #54 Tackling fake media <\/strong> Supervisor: Deepayan Bhowmik<\/em><\/p>\n\n\n\nMachine Learning and Generative AI<\/h3>\n\n\n\n #55 Evaluation of Model Compression Techniques in Federated Learning under Bandwidth Constraints <\/strong> Supervisors: Peter Michalak (NICD), Jacek Cala (NICD)<\/em><\/p>\n\n\n\n #56 Constructing a Comprehensive Human-Level Attributes Lexicon <\/strong> Supervisor: Huizhi Liang<\/em><\/p>\n\n\n\n #57 Bringing Emerging Technologies Together – A Media Monitoring Tool (BettMMT) <\/strong> Supervisor: Alma Cantu<\/em><\/p>\n\n\n\n #58 Personalized Music Generation and Recommendation for Art Works: Research Based on Multimodal Model <\/strong> Supervisor: Huizhi Liang<\/em><\/p>\n\n\n\n #59 Optimizing Electric Vehicle Charging Infrastructure through Comprehensive Data Analysis <\/strong> Supervisor: Sanchari Deb<\/em><\/p>\n\n\n\n #60 Optimising car sharing profitability with a regional pricing strategy<\/strong> Supervisors: Richard Falconer (Co-wheels), Robert Schopen (Co-wheels), Alma Cantu<\/em><\/p>\n\n\n\n #61 Exploring the domain of Quantum Machine Learning and its relevance with advantages over classical machine learning<\/strong> Supervisor: Abolfazl Lavaei, Vladimiro Gonzalez<\/em><\/p>\n\n\n\n #62 Continual Learning in Deep Networks <\/strong> Supervisor: Mehmet Cengiz, Daniel Archambault<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"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 […]<\/p>\n","protected":false},"author":7588,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/users\/7588"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":45,"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":542,"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/pages\/2\/revisions\/542"}],"wp:attachment":[{"href":"https:\/\/blogs.ncl.ac.uk\/datascienceandaimsc\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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