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PhD Poster Event 2026

Image credit Rosemary Deevy

PhD Poster Event 2026

We were delighted with the turn-out for our PhD/MSc by Research Poster event on Friday 30 January 2026. 19 students prepared and displayed posters and a team of judges evaluated the posters. Our PhD poster event is a platform for research students to engage with fellow staff members, seeking valuable comments and advice to enhance the quality of their research work. It also offers a unique opportunity for staff and other participants to gain insights into the ongoing research work within the school.

There were five research themes:

  1. Bioinformatic, Health Information, HCI - 3 posters
  2. Data science, ML and AI - 6 posters
  3. Emerging Topics (Blockchain, Ethics, Quantum Computing, etc) - 1 poster
  4. Security and Network - 6 posters
  5. Software Engineering, Distributed Systems, Computing, Information systems - 3 posters

Afterwards, 50 people attended a special lunch where Assistant Professor Andrew Hines, Director of Graduate Research, presented the Outstanding Poster Prize to Md. Asif Iqbal Fahim and to Kanwal Aftab for the best presentation at the event.

Md. Asif Iqbal Fahim receiving his prize from Assistant Professor Andrew Hines. Thesis title - Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation (Supervisor - Assistant Professor Alessio Ferrari) 

Kanwal Aftab receiving her prize from Assistant Professor Andrew Hines. 

Thesis title - Computer Vision for Indoor Multimedia Geolocation (Supervisor - Associate Professor Mark Scanlon)

Image credits Rosemary Deevy

Full poster list

Student

Principal Supervisor

Research theme

Poster title

Paul Banahan

Assist. Prof. Aonghus Lawler

Bioinformatic, Health Information, HCI

Quantitative and Qualitative Assessment of Generative AI for Cross-Modal CT-to-MRI Translation in Spine Imaging

Cristina Perea del Olmo

Assoc. Prof. David Coyle

Bioinformatic, Health Information, HCI

Generative AI in the Online Mental Health Information Ecosystem: Young Adults’ Use and Perceptions

Aon Safdar

Assist. Prof. Mohamed Saadeldin

Bioinformatic, Health Information, HCI

CAViT: Channel-Aware Vision Transformer for Dynamic Feature Fusion

Fraol Gelana Waldamichael

Assist. Prof. Helard Becerra

Data science, ML and AI

Measuring What Matters: Anatomical Plausibility in Generated Medical Images

Xiao Li

Assoc. Prof. Ruihai Dong

Data science, ML and AI

From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings

Cathal Ó Faoláin

Assist. Prof. Andrew Hines

Data science, ML and AI

Éist: An Ear Inspired Speech Transformer

Zhonghe Chen

Assist. Prof. Deepak Ajwani

Data science, ML and AI

Synthesizing Fault Localization Datasets

Reyhaneh Kheirbakhsh

Assist. Prof. Aonghus Lawler

Data science, ML and AI

Modality Fusion of MRI and Clinical Data for Glioma Tumor Grading

Kanwal Aftab

Assoc. Prof. Mark Scanlon

Data science, ML and AI

Computer Vision for Indoor Multimedia Geolocation

Rashmi Ratnayake

Prof. Liam Murphy

Emerging Topics (Blockchain, Ethics, Quantum Computing, etc)

A Trust-By-Design Consensus Mechanism for Blockchains

Charuka Moremada

Assoc. Prof. Madhusanka Liyanage

Security and Network

LLM-XAI: LLM Driven Explainable AI for Network Intrusion Detection

Vidura Ravihansa

Assoc. Prof. Madhusanka Liyanage

Security and Network

Energy-Aware Security for Federated Learning: A Causal Framework

Haula Galadima

Assist. Prof. Rob Brennan

Security and Network

Evaluating Incident Response in CSIRTs using Cube Socio-technical Systems Analysis

Hongyi Guo

Assoc. Prof. Madhusanka Liyanage

Security and Network

Adaptive Model Poisoning Attacks in Federated Learning

Dinushika Chithrani

Prof. Liam Murphy

Security and Network

Privacy-Preserving LLM Framework for Secure Data Sharing in O-RAN Digital Twins

Alkabashi Alnour

Assist. Prof. Alzubair Hassan

Security and Network

Adaptive authorization as a second line of defence to mitigate residual risk

Zhenghao Wu

Assist. Prof. Hadi Tabatabaee Malazi

Software Engineering, Distributed Systems, Computing, Information systems

Resilient Services Computing in the Edge-Cloud Continuum

Shaoshu Zhu

Assist. Prof. Hadi Tabatabaee Malazi

Software Engineering, Distributed Systems, Computing, Information systems

Critical Evaluation of Energy-Carbon Trade-off in Sustainable Serverless Edge Scheduling

Md Asif Iqbal Fahim

Assist. Prof. Alessio Ferrari

Software Engineering, Distributed Systems, Computing, Information systems

Software Self-Extension with SelfEvolve:an Agentic Architecture for Runtime Code Generation

Many thanks to Rosemary Deevy and Travis Grotewald in the Postgraduate Programme Office and Assist. Prof. Andrew Hines, our Director of Graduate Research, for organising the event and also to all who came and supported the students and especially to the judges.

Graduate Research in UCD School of Computer Science

The School currently has over 100 PhD and MSc Research students, located in one of our research centres such as the (opens in a new window)Insight Centre for Data Analytics or our Centres for Research Training: (opens in a new window)ML-Labs and (opens in a new window)d-real.  Many members of faculty are active in supervising PhD students. More info here https://www.ucd.ie/cs/study/researchdegrees/

Why do a PhD?

In 2023 we recorded some of the students talking about their PhD studies. (opens in a new window)Watch it here (2 mins 40 seconds)

See our YouTube channel for (opens in a new window)more videos.

4 February 2026

UCD School of Computer Science

University College Dublin, Belfield, Dublin 4, Ireland, D04 V1W8.
T: +353 1 716 2483 | E: computerscience@ucd.ie | Location Map(opens in a new window)