UCD School of Computer Science Graduate Students

Current PhD Students

Student	Thesis	Research Keywords
Aayush Singha Roy	Recommender Systems	Recommender System, Fuzzy Logic, Statistical methods
Abdul Wadud	Fifth Generation Open Radio Access Networks	Optical Networks, Wireless Communication and Networks, Software Defined Networks, Open Radio Access Networks, 5G, 6G, Optical Wireless Communication and Networks
Badri Narayanan	Using machine-learning-based image processing for extracting indicators from agricultural imagery from multiple sources	Deep Learning, Machine Learning, Smart Agriculture, Water Management
Chamara Sandeepa	AI Privacy	Privacy, Federated Learning, B5G/6G, Edge AI, Blockchain
Cheng Xu	Multimodal Fuzzy System for Fake News Detection	Fake News Detection, Deep Learning, Data Mining, Multimodal Learning, Fuzzy Logic
Courtney Ford	TBD	machine learning; XAI; explainable AI
Déaglán Connolly Bree	AREAS – Automated Refactoring for Energy-Aware Software	software engineering, Software Refactoring, Search-Based Software Engineering, Energy-aware Software
Dena Tayebi	Learning exact solutions for geometric set cover and related problems	Machine Learning, Optimization Problem, Set-Cover Problem, NP-hard Problems, Classification Task, Supervised Learning
Eddie Antonio Santos	Automatically resolving and eliminating syntax errors in pedagogical programming environments	compiler error messages; CS1; novice programmers; pedagogy
Edoardo D'Amico	Graph based recommender systems	recommender systems, GCNs, Graph convolutional neural networks, graph
Elayne Ruane	Quality Assessment of Intelligent Conversational Agents	conversational agent, chatbot, software testing, robustness testing, quality assurance, artificial intelligence
Faithful Chiagoziem ONWUEGBUCHE	Application of Machine Learning and Blockchain Technology in Finance/Security	Machine Learning, blockchain technology, FinTech, Data Science and Mathematics.
Fanny Rivera Ortiz	Engineering Forensic-Ready Software Systems	software engineering, Digital Forensics, CyberSecurity, Forensic Readiness, Logs, Security Incidents
Haula Sani Galadima	Leveraging Cyber Incident Response for Organisational Cyber Resilience	Incident Response, Cybersecurity Incidents, Cyber Resiliency, Ontology, Incident Learning, Knowledge Base
Hrishikesh Dilip Mulay	Annotated lip reading for Augmented Educational Systems	Extended Reality (XR), Immersive Technologies, Machine Learning, Augmented Reality, Virtual Reality
James Kok Konjaang	Optimization Novel Heuristic Algorithms for Efficient Scientific Workflow Task Assignment in Cloud Computing Environment	Cloud Computing, Scientific Workflow, Scheduling and Makespan
Joyce Mahon	TBD	Machine Learning, artificial intelligence, Education, Explainable AI (XAI)
Kalyani Yogeswaranathan	The Design of Cloud-Fog-Edge infrastructure for Smart Agriculture	Cloud-Fog-Edge Computing
Manya Singh	Robust and Interpretable Machine Learning with Abstention	Machine Learning, Predictive Multiplicity, interpretability, Explainability
Maryam Saeedi	Visioning Depression: Knowledge-Distilled Learning with Siamese Vision Transformer for Analyzing Altered fMRI Brain Connectivity	artificial intelligence, Deep Learning, Image processing, Signal processing
Mehran Alizadeh Pirbasti	Mehran Alizadeh Pirbasti	Hedgerow, Deep Learning, Remote sensing, Synthetic aperture radar (SAR)
Minh Anh Nguyen	Large Language Models as Coding Assistants for Secure Software Development	AI, Coding Assistant, Secure Software Development, IDE, Large Language Models, Distributed Computing, Computer-Human Interactions
Misgina Tsighe Hagos	Interpretable Human-in-the-loop Modelling Solutions for Medical Images Classifications	explainable ai, interpretability, Interactive Learning, HITL, Medical Images Classification, Knee Injury Detection
Muhammad Zahid Iqbal	Machine Learning agents in Augmented Reality applications to facilitate adaptive and kinesthetic learning in STEM Education	Augmented Reality, Machine Learning, Mixed Reality, Virtual Reality, Education
Namasivayam Gomathi Sankar	Exploring the synergies between Quantum computing and Machine learning	Quantum machine learning, optimization, quantum computing, artificial intelligence
Negin Zarbakhsh	Ground-Level Multisource Geospatial Data For Point-Of-Interests (POIs) Activity Class Recognition	Human Mobility, Machine Learning (ML), Marketing research, Spatiotemporal Analysis.
Nils Höhing	Grounded Language Understanding	NLP, NLU, language understanding, vision and language, multimodal
Paul Banahan	Radiologist in the Loop: Generative AI cross modality image translation for out-of-hour emergency applications	Medical imaging, Generative AI, Radiology
Priscilla Adong	Estimating near-surface particulate matter concentrations using satellite-derived aerosol optical depth and machine learning	Machine Learning, Remote sensing, Air Quality
Quang-Tien Tran	A Deep Learning Model for Robust Drift Detection	Concept Drift, Drift Detection, Machine Learning Fundamentals, Explainable ML
Rashmi Erandika Ratnayake	Machine Learning-Driven Solutions for Bad Data Management in Blockchain-Enabled IoT Systems	Blockchain, Machine Learning, Bad Data, Data Trust, IoT
Sajjad Karimian	Integrating Human Factors into Trustworthy AI for Healthcare	Trustworthy AI
Shalitha Wijethilaka	Improve the security of network slicing enabled IoT in future networks	Network Slicing, Security, 5G, IoT
Shamima Nasrin Runa	Exploring Sense of Belonging in Undergraduate Students in College of Science	Sense of Belonging, belongingness, undergraduate students, science
Sourodip Ghoshdastidar	Methods and tools for efficient, accurate and portable component-level energy modelling of applications	High performance computing, GPU Computing
Stephen Pilli	Nudging humans to have ethically aligned conversation using AI	Nudge Theory, Machine Ethics, NLP, NLU, Chatbots, Conversational AI
Tharindu Lakshan Yasarathna	Autonomous Anomaly Detection in IoT Devices	Autonomous anomaly detection, IoT security, Machine Learning, Unsupervised learning
Yunan Li	Spatial Data Analysis in digital Agriculture	Machine Learning, Data Prediction, Crop growth

Graduated PhD Students

Student	Thesis	Research Keywords
Abeba Birhane	Personhood and technology: Towards a Relational Ethics	Ethics, AI, Data Science, Embodied Cognition, Complex Adaptive Systems, Intersectionality, Enaction, Dialogism
Anna Markella Antoniadi	The application of explainable artificial intelligence in modelling quality of life and caregiver burden in Amyotrophic Lateral Sclerosis to inform clinical decision-making	clinical decision support system, Explainable Artificial Intelligence, xai, Machine Learning, ALS
Antonio Bevilacqua	Machine Learning Applied to Rehabilitative Health Sience	machine learning rehabilitation segmentation
Asanka Priyadarshana Sayakkara	Electromagnetic Side-Channel Analysis for Digital Forensics on Internet of Things	Electromagnetic Side-Channel Analysis, Software Defined Radio, Digital Forensics, Internet of Things
Ashish Kumar Singh	Multivariate Time Series Classification for Sport Science Application	time series data classification, time series data, interpretable, sequential data
Bhaskar Dhariyal	Scalable Multivariate Time Series Classification	Scalable, Multivariate, Time Series, Classification
Chamin Nalinda Lokugam Hewage	Cloud based storage models for Full Waveform LiDAR data	Full Waveform, LiDAR, Spatial Temporal Databases, Aerial Laser Scanning, Spatial Indexing
Claudia Orellana-Rodriguez	Data Analytics Methods for the Dissemination and Consumption of News	Text Analytics, News, Audience Analysis, NLP, Sentiment Analysis, Social Media
Congcong Wang	Classifying actionable categories of crisis-related tweets and estimating their criticality using computational techniques	NLP, Social Media Analytics, Machine Learning
Duncan Wallace	ADAM: Application of Data Mining Techniques to Service Modelling and Evaluation at Medical Companies	medical-informatics, Data Mining, Machine Learning, big data, Deep Learning, artificial neural networks
Emin Nuriyev	Optimization of MPI collective operation	Parallel programming, Homogeneous cluster, Heterogeneous cluster, MPI
Eoin Kenny	Using Case-Based Reasoning to Explain Artificial Intelligence	Case-based reasoning, artificial neural networks, Deep Learning, Machine Learning, explainable ai, interpretability
Eoin O'Neill	Exploring Multi-Agent Microservices for Linked Data enabled Smart Agriculture Decision Support Systems	Microservices, MAS, Linked Data
Faisal Ghaffar	Social Network Formation for career development at work	social network formation, enterprise network analysis, strategic social networking, social capital, career development
Gevorg Poghosyan	Addressing Information Overload through Text Mining across News and Social Media Streams	News, information overload, social annotations
Greta Warren	Counterfactuals and Explainable AI	Explanation, counterfactual, xai
Gunjan Kumar	A Sequence-based and Context Modelling Framework for Recommendation	recommender systems, Machine Learning, artificial intelligence
H. Egemen Ciritoglu	Adaptive Replication Management for Large-Scale Data-Intensive Clusters	Big Data Storage, Hadoop Distributed File System (HDFS), Replication Management, Block Placement, Software Performance
Hamed Z. Jahromi	Network QoE Management for Interactive Web Applications	QoE, QoS, Network Management, SDN
Hung Quoc Ngo	Data Mining Model and Techniques for Very Large, Complex Crop Data Sets	Natural Language Processing, Data Mining, Ontology Engineering
Ioannis Karvelas	The Role of Feedback Mechanisms of Programming Environments in Novices' Programming Behavior	compiler error messages, CS1, educational data mining, novice programmers, programming, programming process data
John Francis Leader	Mixed Reality Therapy	mixed reality therapy, Mixed Reality, therapy, psychology, cognitive science, artificial intelligence, cognition, learning
Karl Roe	An Extensible Framework for Intelligent Ubiquitous Sensing Within Precision Agriculture	IoT, ubiquitous computing, sensors, consus, precision agriculture
Lan Wei	Development of an EEG based sleep assessment scoring system using an Interpretable Machine Learning Approach	EEG, sleep, Machine Learning, infants
Linyi Yang	Deep Context in Financial Forecasting and Risk Early Warning	Financial Forecasting, Deep Learning, Explanation
Manaz Kaleel	Improving Protein Structure and Subcellular Localization Prediction using Deep Learning	bioinformatics, Machine Learning
Maryanne Doyle	Visualising the Temporal Dynamics of Power Laws in Large Data Sets	data visualisation, user study, Twitter, power law
Mehran hossein Zadeh Bazargani	Deep Novelty	anomaly detection, data streams, sequences
Mirko Torrisi	Predicting Protein Structural annotations by Deep and Shallow Learning	Deep Learning, Machine Learning, bioinformatics
Pasika Sashmal Ranaweera	Enhancing Security in Multi-Access Edge Computing (MEC) and Internet of Things (IoT) Integration	Multi-Access Edge Computing (MEC), Security, Privacy, 5G, IoT
Philipp Wicke	Computational Embodied Creativity	artificial intelligence, Computational Creativity, Computational Linguistics
Qinqin Wang	Transfer Learning on Recommender System	Machine Learning, Transfer Learning, Recommender System
Ranul Deelaka Thantilage	Study of multimodal data warehouse and data mining techniques on cardiology datasets and their sources	big data, Data Warehousing, Cardiology, Security
Saeedeh ghanadbashi	Collaborative goal generation and goal achievement with cognitive agents	Multi-agent Systems, Goal reasoning, goal evolution and generation, cognitive agents
Sanaz Rasti	Proximal Sensing for Estimation of Crop Growth and Prediction of Yield	Machine Learning, Deep Learning, Neural Network, Crop Growth Metrics
Severin Gsponer	Effective Algorithms for Sequence Learning in All-Substring Feature Spaces	Sequence Learning, Linear Models, Pattern
Siobhán Grayson	Identifying structure in multi-relational social networks	networks, reddit, Machine Learning
Sixun Ouyang	Explainable Models for Recommender Systems	Recommender System, Explanation, Deep Learning, Text generation
Suchana Datta	Causality driven Information Retrieval
Swathi Ramachandra Upadhya	Predicting protein abundance from cancer genomes and transcriptomes	Proteomics, Transcriptomics, Genomics, Cancer, Machine Learning, Regression
Taimur Hafeez	A Robust Computing Framework for Sustainable Internet of Things (IoT) Utilising The Edge Computing Paradigm	IoT, Edge Computing
Vivek Mahato	Real-time Machine Learning in Manufacturing	Machine Learning, Time-Series, Classification, Regression, Data Science
Weipeng Huang	Studying Hierarchical Clustering via Probabilistic and Statistical Approaches	Bayesian Modeling, Hierarchical Clustering
xingyu pan	Through the looking glass: Context aware non-HMD	Mixed Reality, Virtual Reality, Augmented Reality, context awareness, AI agent
Xuanhui Xu	Virtual Reality Canine Anatomy Education	Virtual Reality, Veterinary
Yu An	Automatic Geological Fault Interpretation And Modelling	Computer Vision, Fault Interpretation, Deep Learning
Yuhan Du	Modeling the Effect of Maternal Diet on Health Outcomes of both Mother and Child	Machine Learning, pregnancy