AICS 2023 - Programme

AICS2023 PROGRAMME

Thursday December 7th

08:30 - 09:30	Registration (Tea / Coffee)
09:30 - 10:00	Welcome Address : Dr Kevin Meehan, Conference General Chair (ATU) Dr Rick Officer, VP Research and Innovation (ATU ) Professor Liam Maguire, PVC Research (Ulster University)
10:00 - 11:00	Keynote: Toju Duke
11:00 - 11:30	Networking (Tea / Coffee)
11:30 - 12:40	Presentation Session 1 (Health) - Carnegie Room 1
Automated Transparency Evaluation of Knowledge Graphs for Clinical Risk Governance Maryam Basereh, Marie Ward, Una Geary, Una Healy, Mary Fogarty, Annalina Caputo, Rob Brennan - Dublin City University, St. James’s Hospital, University College Dublin
Data Security Challenges in AI-enabled Medical Device Software Buddhika Jayaneththi, Gilbert Regan, Fergal McCaffery - Dundalk Institute of Technology
A review of the Artificial Intelligence Act Proposal and the Medical Device Regulation Karla Aniela Cepeda Zapata, Tomás Ward, Roisin Loughran, Fergal Mc Caffery - Dundalk Institute of Technology, Dublin City University
Analysis of Risk Factors and Diagnosis for Anxiety Disorder in Older People with the Aid of Artificial Intelligence: Observational Study Jinling Wang, Michaela Black, Debbie Rankin, Jonathan Wallace, Catherine F. Hughes, Leane Hoey, Adrian Moore, Joshua tobin, Mimi Zhang, James Ng, Geraldine Horigan, Paul Carlin, Kevin McCarroll, Conal Cunningham, Helene Mc Nulty, Anne M. Molloy - Ulster University, Trinity College Dublin, The Open University, St. James’s Hospital
11:30 - 12:40	Presentation Session 1 (Robotics & Security) - Carnegie Room 2
Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies Zain Ali, Kevin Meehan, Jennifer Hyndman, Thomas Dowling - Atlantic Technological University
Reinforcement Learning for Bio-Inspired Stochastic Robot Control James Gillespie, Inaki Rano, Nazmul Siddique, Jose A. Santos - Ulster University, University of Santiago de Compostela
A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud D.S. Wijenayake, Shagufta Henna, William Farrelly - Atlantic Technological University
Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks Saheed Kazeem, Shagufta Henna - Atlantic Technological University
12:45 - 13:45	Lunch
13:45 - 14:45	Keynote: Dr Salvatore Tedesco
14:45 - 15:40	Presentation Session 2 (Machine Learning) - Carnegie Room 1
Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music Abdul Shahid, Danny Diamond, James McDermott, Mathieu d’Aquin - National College of Ireland, University of Galway, University of Lorraine
On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning Evan O’Riordan, Frank Glavin, Colm O’Riordan - University of Galway
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses Mashal Khan, Frank G. Glavin, Matthias Nickles - University of Galway
14:45 - 15:40	Presentation Session 2 (Natural Language Processing) - Carnegie Room 2
Using ChatGPT to generate Gendered Language Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany - Technological University Dublin
Query-Focused Submodular Demonstration Selection for In-context Learning in Large Language Models Paul Trust, Rosane Minghim - University College Cork
ChatPapers: An AI Chatbot for Interacting with Academic Research Max Dean, Raymond Bond, Michael McTear, Maurice Mulvenna - University of Ulster
16:00 - 17:00	Presentation Session 3 (Deep Learning) - Carnegie Room 1
Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing Mark Gorman, Xuemei Ding, Liam Maguire, Damien Coyle - Ulster University, University of Bath
RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers Jack Mc Shane, Eoghan Furey, Marion McAfee, Kevin Meehan - Atlantic Technological University
InceptionCaps: A Performant Glaucoma Classification Model for Data-scarce Environment Gyanendar Manohar, Ruairi O’Reilly - Munster Technological University
16:00 - 17:00	Presentation Session 3 (Natural Language Processing) - Carnegie Room 2
Social network Analysis of Irish Covid-19 Interactions on Telegram Andreea-Clara Pricopi, Padraig Cunningham - University College Dublin
Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation Florian Freund, Philippe Tamla, Matthias Hemmje - University of Hagen
Fine-Tune it Like I’m five: Supporting Medical Domain Experts in Training NER Models using Cloud, LLM and Auto Fine-Tuning Benedict Hartmann, Philippe Tamla, Florian Freund, Matthias Hemmje - University of Hagen
19:00 - Close	Conference Dinner at Radisson Letterkenny

Friday December 8th

08:30 - 09:30	Registration (Tea / Coffee)
09:30 - 10:30	Keynote: Dr Róisín Loughran
10:30 - 12:00	Poster Session
12:00 - 12:45	Presentation Session 4 (Health) - ATU Lecture Theatre 1401
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images Aryan Singh, Pepijn Van de Ven, Ciarán Eising, Patrick Denny - University of Limerick
R’enyi Differential Privacy analysis of Graph-based Federated Learning under Internet of Health Things Mohamed Amjath, Shagufta Henna - Atlantic Technological University
Global-Local Influence Maximization Subgraph Sampling for Innate Immune Response Classification Mallikharjuna Sakhamuri, Shagufta Henna, Leo Creedon, Kevin Meehan - Atlantic Technological University
12:45 - 13:45	Lunch
13:45 - 14:45	Presentation Session 5 (Signal Processing) - ATU Lecture Theatre 1401
Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data Oshana Dissanayake, Sarah McPherson, Joseph Allyndree, Emer Kennedy, Pádraig Cunningham, Lucile Riaboff - University College Dublin, Animal & Grassland Research and Innovation Centre, SFI Research Centre
Air Pollution Monitoring using Online Recurrent Extreme Learning machine Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia - Atlantic Technological University
A Systematic Review of Multi-class and One-vs-Rest Classification Techniques for Near-Infrared Spectra of Crop Cultivars Aaron Flanagan, Frank Glavin - University of Galway
Learning Music Representations with wav2vec 2.0 Alessandro Ragano, Emmanouil Benetos, Andrew Hines - University College Dublin, Queen Mary University of London
14:45 - 15:15	Prizegiving and Closing Remarks by Mr. John Andy Bonar, VP Research, Equality and External Affairs (ATU Donegal)

Poster Presentations (Short Papers) - ATU Letterkenny Campus

10:30 - 12:00	Poster Presentations - ATU Letterkenny Campus
POSTER 1	Exploring Abductive Reasoning in Language Models for Data-to-Text Generation Kristyna Onderková, Matthias Nickles - University of Galway
POSTER 1
POSTER 2	Resume Parsing Across Multiple Job Domains Using a BERT-based NER Model Madhumita Srivastava, Paul Greaney - Atlantic Technological University
POSTER 2
POSTER 3	A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words? Siddhant Jaydeep Mahajani, Shashank Srivastava, Alan Smeaton - Dublin City University
POSTER 3
POSTER 4	Reducing Media Bias in News Headlines Qin Ruan, Brian Mac Namee, Ruihai Dong - University College Dublin
POSTER 4
POSTER 5	Identifying Influential Citations in Scientific Papers Mathew James, Vikas Palakkat, Gareth J. F. Jones - Dublin City University
POSTER 5
POSTER 6	Complex Adaptive Systems and Psychophysiological Data - An exploratory Approach Zachary Dair, Samantha Dockray, Ruairi O’Reilly - Munster Technological University, University College Cork
POSTER 6
POSTER 7	Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI Gautam Patil, Tanaya Patil, Kishor Wagh - AISSMS Institute of Information Technology, MKSSS Cummins College of Engineering
POSTER 7
POSTER 8	3D Human Pose Estimation Model Analysis: Gait Analytics for Spectrum Disorder Detection Benn Henderson, Pratheepan Yogarajah, Bryan Gardiner, Martin McGinnity - Ulster University
POSTER 8
POSTER 9	Cardiac Magnetic Resonance Phase Detection Using Neural Networks Carles Garcia-Cabrera, Kathleen Curran, Noel E. O'Connor, Kevin McGuinness - Dublin City University, University College Dublin
POSTER 9
POSTER 10	Speech-Based Alzheimer Disease Classification System with Noise-Resilient Feature Optimization Virender Kadyan, Puneet Bawa, Mohd Mujtaba Akhtar, Muskaan Singh - University of Petroleum and Energy Studies, Chitkara University, Ulster University
POSTER 10
POSTER 11	Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques Oladimeji Oladosu, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan - Atlantic Technological University
POSTER 11
POSTER 12	Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction Hanyang Chen, Zhouting Zhao, Tin Lok James Ng - Trinity College Dublin
POSTER 12
POSTER 13	Comprehensive Phonological Analysis for Clinical Implication using Self-Attention based Grapheme to Phoneme modelling under low-resource conditions Puneet Bawa, Virender Kadyan, Muskaan Singh - Chitkara University, University of Petroleum and Energy Studies, Ulster University
POSTER 13
POSTER 14	Digital-Twin enabled Dairy Farming for Greenhouse Gas Emission Tracking Elif Ak, Khayal Huseynov, Berk Canberk, Muhammad Fahim, Octavia A. Dobre, Trung Q. Duong - Istanbul Technological University, BTS Group, Edinburgh Napier University, Queen’s University Belfast, Memorial University
POSTER 14
POSTER 15	AI-Based Crop Disease Detection: Evaluation of Wheat Rust Disease Detection and Classification Using Deep Learning and Machine Learning Approaches Temitayo Akinosun, Omar Nibouche - Ulster University
POSTER 15
POSTER 16	Machine Learning-Assisted Multi-Objective Optimization of Biomass Combustion Process Ataklti Kahsay, Manojkumar Ramteke - Institute of Technology Delhi
POSTER 16
POSTER 17	Improved Variable-Relationship Guided LNS for the Data Centre Machine Reassignment Problem Filipe Souza, Dairmuid Grimes, Barry O’Sullivan - SFI Centre for Research Training in Artificial Intelligence, Munster Technological University, University College Cork
POSTER 17
POSTER 18	Pre-processing Techniques to mitigate Against Algorithmic Bias Maliheh Heidarpour Shahrezaei, Róisín Loughran, Kevin Mc Daid - Dundalk Institute of Technology
POSTER 18
POSTER 19	Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency Asif Yar, Shagufta Henna, Marion McAfee, Salem S. Gharbia - Atlantic Technological University
POSTER 19
POSTER 20	Reinforcement Learning for Stock Option Trading James Garza - CCT College Dublin
POSTER 20

Organisation

Conference Chairs

Dr Kevin Meehan (Atlantic Technological University), kevin.meehan@atu.ie - General Chair
Dr Karla Muñoz Esquivel (Atlantic Technological University), karla.munozesquivel@atu.ie - Co-chair
Dr Jennifer Hyndman (Atlantic Technological University), jennifer.hyndman@atu.ie - Co-chair
Professor Michaela Black (Ulster University), mm.black@ulster.ac.uk - Co-chair
Dr Muskaan Singh (Ulster University), m.singh@ulster.ac.uk - Co-chair
Dr Fatemeh Golpayegani, (University College Dublin), fatemeh.golpayegani@ucd.ie - Co-chair

Organising Committee

Dr Marion McAfee (Atlantic Technological University)
Dr Gerry McWilliams (Atlantic Technological University)
Dr Bryan Gardiner (Ulster University)
Dr Tara Doherty (Atlantic Technological University)
Dr Michael O’Grady (University College Dublin)
Professor Hujun Yin (University of Manchester)
Mallikharjuna Rao Sakhamuri (Atlantic Technological University)
Faisal Pathan Khan (Atlantic Technological University)
Gemma Lynch (Atlantic Technological University)

Session Chairs

Professor Michaela Black (Ulster University)
Dr Emmett Kerr (Atlantic Technological University)
Dr Eoghan Furey (Atlantic Technological University)
Dr Muskaan Singh (Ulster University)
Dr Karla Muñoz Esquivel (Atlantic Technological University)
Dr Bryan Gardiner (Ulster University)
Dr James Connolly (Atlantic Technological University)
Dr Marion McAfee (Atlantic Technological University)

See full Programme Committee

PC Member	Affiliation
James Vincent Patten	University of Limerick
Enrique Naredo	University of Limerick
Malachy Eaton	University of Limerick
Eoin Grua	University of Limerick
Meghana Kshirsagar	University of Limerick
Pepijn Van de Ven	University of Limerick
John Nelson	University of Limerick
Ciaran Eising	University of Limerick
Katie Crowley	University of Limerick
Suzanne Egan	University of Limerick
Muftah Fraifer	University of Limerick
Conor Hayes	University of Galway
Josephine Griffith	University of Galway
Pilib O Broin	University of Galway
Colm O'Riordan	University of Galway
Paul Buitelaar	University of Galway
Michael Schukat	University of Galway
James McDermott	University of Galway
John P. McCrae	University of Galway
Frank Glavin	University of Galway
Elham Alghamdi	University College Dublin
Declan Delaney	University College Dublin
Arjun Pakrashi	University College Dublin
Padraig Cunningham	University College Dublin
Ellen Rushe	University College Dublin
Georgiana Ifrim	University College Dublin
Brendan Murphy	University College Dublin
Brian Mac Namee	University College Dublin
Simon Caton	University College Dublin
Barry Smyth	University College Dublin
Rob Brennan	University College Dublin
Derek Greene	University College Dublin
Fintan Costello	University College Dublin
Fred Cummins	University College Dublin
Mark Keane	University College Dublin
Aonghus Lawlor	University College Dublin
Rem Collier	University College Dublin
Ruihai Dong	University College Dublin
Barry O'Sullivan	University College Cork
Guillaume Escamocher	University College Cork
Begum Genc	University College Cork
Ken Brown	University College Cork
Andrea Balogh	University College Cork
Mark O Sullivan	University College Cork
Gregory Provan	University College Cork
Derek Bridge	University College Cork
Darryl Charles	Ulster University
Paul Mc Kevitt	Ulster University
Debbie Rankin	Ulster University
Michaela Black	Ulster University
Ivana Dusparic	Trinity College Dublin
Lucy McKenna	Trinity College Dublin
John Gilligan	Technological University Dublin
Bianca Schoen Phelan	Technological University Dublin
Eoin Rogers	Technological University Dublin
Anh Duong Trinh	Technological University Dublin
Bujar Raufi	Technological University Dublin
Pierpaolo Dondio	Technological University Dublin
Bojan Božić	Technological University Dublin
Sarah Jane Delany	Technological University Dublin
Lucas Rizzo	Technological University Dublin
Robert Ross	Technological University Dublin
Hung Ngo	Technological University Dublin
James Usher	Technological University Dublin
Susan Mckeever	Technological University Dublin
Luca Longo	Technological University Dublin
Elizabeth Hunter	Technological University Dublin
Xhemal Zenuni	SEE University in Tetovo
Conor Lynch	Nimbus Research Centre (MTU)
Ted Scully	Munster Technologicial University
Ryan Donovan	Munster Technologicial University
Ignacio Castineiras	Munster Technologicial University
Kashif Ahmad	Munster Technological University
Ruairi O'Reilly	Munster Technological University
Alison O'Shea	Munster Technological University
Niall O Mahony	Munster Technological University
Brian Murphy	Munster Technological University
Daniel Riordan	Munster Technological University
Diarmuid Grimes	Munster Technological University
Haithem Afli	Munster Technological University
Alex Vakaloudis	Munster Technological University
Christian Beder	Munster Technological University
Louise Connell	Maynooth University
Ralf Bierig	Maynooth University
Diarmuid O'Donoghue	Maynooth University
Deirdre Desmond	Maynooth University
Anila Mjeda	Lero
Tiziana Margaria	Lero
Luis Quesada	Insight Centre for Data Analytics (UCC)
Nic Wilson	Insight Centre for Data Analytics (UCC)
Julia Dietlmeier	Insight Centre for Data Analytics
Steve Prestwich	Insight Centre for Data Analytics
Diego Carraro	Insight Centre for Data Analytics
Ken Duffy	Hamilton InstituteMaynooth University
Takfarinas Saber	Dublin City University
Alan Smeaton	Dublin City University
Suzanne Little	Dublin City University
Lifeng Han	Dublin City University
Gareth Jones	Dublin City University
Marija Bezbradica	Dublin City University
Julio Noe Hernandez Torres	Dublin City University
Liam Marnane	University College Cork
Seamus Dowling	Atlantic Technological University
Harshvardhan J. Pandit	ADAPT Centre (TCD)
Brian Davis	ADAPT Centre
Paul Walsh	Accenture
Alexey Tarasov	2K Games Dublin

AICS2023 PROGRAMME

Thursday December 7th

Automated Transparency Evaluation of Knowledge Graphs for Clinical Risk Governance

Data Security Challenges in AI-enabled Medical Device Software

A review of the Artificial Intelligence Act Proposal and the Medical Device Regulation

Analysis of Risk Factors and Diagnosis for Anxiety Disorder in Older People with the Aid of Artificial Intelligence: Observational Study

Optimising Swarm Robotic Navigation: A Comparative Analysis of Fastest Path vs. Nearest Neighbour Path Projection Strategies

Reinforcement Learning for Bio-Inspired Stochastic Robot Control

A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud

Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks

Ensemble Machine Learning Models for Root Note Detection in Irish Instrumental Dance Music

On the Emergence of Fairness in the Evolutionary Dictator Game with Edge Weight Learning

Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses

Using ChatGPT to generate Gendered Language

Query-Focused Submodular Demonstration Selection for In-context Learning in Large Language Models

ChatPapers: An AI Chatbot for Interacting with Academic Research

Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing

RIVERS: Real-Time Identification of Various Environmental Pollutants in Rivers

InceptionCaps: A Performant Glaucoma Classification Model for Data-scarce Environment

Social network Analysis of Irish Covid-19 Interactions on Telegram

Towards Improving Clinical Practice Guidelines Through Named Entity Recognition: Model Development and Evaluation

Fine-Tune it Like I’m five: Supporting Medical Domain Experts in Training NER Models using Cloud, LLM and Auto Fine-Tuning

Friday December 8th

Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images

R’enyi Differential Privacy analysis of Graph-based Federated Learning under Internet of Health Things

Global-Local Influence Maximization Subgraph Sampling for Innate Immune Response Classification

Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data

Air Pollution Monitoring using Online Recurrent Extreme Learning machine

A Systematic Review of Multi-class and One-vs-Rest Classification Techniques for Near-Infrared Spectra of Crop Cultivars

Learning Music Representations with wav2vec 2.0

Poster Presentations (Short Papers) - ATU Letterkenny Campus

Exploring Abductive Reasoning in Language Models for Data-to-Text Generation

Resume Parsing Across Multiple Job Domains Using a BERT-based NER Model

A Comparison of Lexicon-Based and ML-Based Sentiment Analysis: Are There Outlier Words?

Reducing Media Bias in News Headlines

Identifying Influential Citations in Scientific Papers

Complex Adaptive Systems and Psychophysiological Data - An exploratory Approach

Bridging Neuroscience and Minds: Exploring Collective Intelligence through Brain Duplication using AI

3D Human Pose Estimation Model Analysis: Gait Analytics for Spectrum Disorder Detection

Cardiac Magnetic Resonance Phase Detection Using Neural Networks

Speech-Based Alzheimer Disease Classification System with Noise-Resilient Feature Optimization

Lightweight Deep Learning for Breast Cancer Diagnosis Based on Slice Selection Techniques

Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction

Comprehensive Phonological Analysis for Clinical Implication using Self-Attention based Grapheme to Phoneme modelling under low-resource conditions

Digital-Twin enabled Dairy Farming for Greenhouse Gas Emission Tracking

AI-Based Crop Disease Detection: Evaluation of Wheat Rust Disease Detection and Classification Using Deep Learning and Machine Learning Approaches

Machine Learning-Assisted Multi-Objective Optimization of Biomass Combustion Process

Improved Variable-Relationship Guided LNS for the Data Centre Machine Reassignment Problem

Pre-processing Techniques to mitigate Against Algorithmic Bias

Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency

Reinforcement Learning for Stock Option Trading

Organisation

Conference Chairs

Organising Committee

Session Chairs