30th Irish Conference on Artificial Intelligence and Cognitive Science


December 8th-9th, 2022
Munster Technological University

Paper Submission Deadline Extended - 5th October 25th Sep. 2022
Acceptance Notification for all Papers - 19th Oct. 1st Nov. 2022
Camera Ready Submissions (all tracks) - 26th Oct. 11th Nov. 2022

Registration and Programme Accommodation and Travel

View Full Programme


Download the Book Of Abstracts

About AICS 2022


The 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2022) will be hosted by the Department of Computer Science of Munster Technological University (MTU). The conference will be an in-person event this year.

With regular conferences dating back to 1988, the AICS Conference is Ireland’s primary forum for researchers with interests in the fields of Artificial Intelligence and Cognitive Science. While once a niche area, the fields of Cognitive Science and Artificial Intelligence, which encompass Data Analytics, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry.

Keynote and Industry Talks


Professor Barry O'Sullivan

From Trustworthy AI to Regulation and Diplomacy

Professor Barry O'Sullivan

Bio: Professor O'Sullivan is an award-winning academic with more than 25 years experience working in artificial intelligence. He is Professor of Constraint Programming at the School of Computer Science & IT at University College Cork and a member of its Governing Body. He is founding Director of both the Insight Centre for Data Analytics at UCC and Director of the SFI Centre for Research Training in AI. In July 2018 Barry was appointed Vice Chair of the European Commission High-Level Expert Group on AI. He is a Fellow and a past President of the European AI Association. He is also a Fellow and a member of the Executive Council of the Association for the Advancement of Artificial Intelligence. He is a member of the Royal Irish Academy. He chairs the Advisory Board of the GRACE project at Europol, and advises the institute at KULeuven (Belgium) and the Computational Sustainability Network, a network of universities in the USA. He is Senior Advisor for Technology Policy at INHR in Geneva. In 2019 Professor O’Sullivan was appointed by Ireland’s Minister for Health to the Health Research Consent Declaration Committee. In 2020 he was appointed Chair of the Oversight Board of Health Data Research UK (North), led by the University of Liverpool. In 2021 he was, again, appointed by the Minister for Health as Chair of the National Research Ethics Committee for Medical Devices. In 2022 he was appointed by the Minister for Trade Promotion, Digital & Company Regulation to the Enterprise Digital Advisory Forum.

Abstract: There has been an increasing interest in the role of ethics in artificial intelligence and in the notion of Trustworthy AI, in particular. The European Commission has invested significant effort in setting out its strategy and its vision for the importance of delivering Trustworthy AI, including the proposal of a new regulatory instrument, the AI Act. In this talk I will give an overview of the policy context in relation to Trustworthy AI. I will give an overview of the current European Union’s AI Act and its origins. While most of the discussion around AI tends to be in the civilian domain, I will also give a brief overview of the diplomacy of AI.


Professor Aedin Culhane

The nitty gritty of Principal Component Analysis

Professor Aedin Culhane

Bio: Aedín Culhane is a Professor of Cancer Genomics and Director of the Limerick Digital Cancer Research Center in the University of Limerick, School of Medicine. She is a computational biologist with expertise in multimodal data integration, statistical genomics and clinical bioinformatics. She has over 20 years’ experience in cancer genomics, with 15 of these in the Data Science Department at Dana-Farber Cancer Institute and Harvard University. She is a member of the Human Cell Atlas project that will describe the molecular profile of every human cell. This is an enormous undertaking as its estimated there are 37.2 trillion cells in the human body. Aedin is a leader in the Bioconductor community, a global open source, open development platform written in R for analysis of genomics data. She leads the eHealth-Hub for Cancer for federated digital health research in cancer. Her recent research focuses on development of matrix factorization approaches, machine learning and statistical algorithms for integrative analysis of multi-modal high dimensional sparse molecular data.

Abstract: Principal component analysis (PCA), is a popular matrix factorization method that is often the first step in machine learning pipelines. It is a relatively fast dimension reduction method that can scale to large datasets. I will review PCA, the relationship between PCA and singular value decomposition, the difference between PCA of a correlation and covariance matrix, the impact of scaling, log-transforming, and standardization, and how to recognize a horseshoe or arch effect in a PCA. I will describe extensions to PCA and matrix factorization approaches for the integration of multi modal data. I will discuss why pre-processing or weighting datasets within a joint or multi-dataset decomposition should be considered. These discussions will be applied to high dimensional sparse single cell molecular data in cancer, where datasets are typically thousands of rows by tens of thousands to millions of columns.

Professor Aedin Culhane
Qualcomm Logo

Lindsey Kostas

Bio: Lindsey is a Senior Staff Machine Learning Researcher. She joined a nascent ML R&D team at Qualcomm in 2018 and since that time she has led multiple projects in ML-based CAD/EDA which have impacted global SoC design process for teams across the globe leading to significant savings in time-to-market, compute and NRE cost. She holds four pending patents related to this work and consults on a variety of ML-driven initiatives across the company in application ranging from digital and analog design to 5G to licensing. In 2021, she was honored by the Global Semiconductor Association (GSA) as the inaugural Female Up-And-Comer for her exceptional contributions toward the development, innovation, growth, and success in the semiconductor industry. Prior to joining Qualcomm, Lindsey was a 4-year scholarship athlete at Stanford University where she won two tennis national team championships and was honored as an Elite 89 Award Finalist. After graduating with distinction in Economics, she obtained her master’s degree in Computer Science with an emphasis in Artificial Intelligence from Stanford University. While in the master’s program Lindsey was a teaching assistant and a research associate for Chris Re and Jure Leskovic with an emphasis in deep representation learning.

Abstract: Since its inception, Qualcomm has led mobile SoC integration with the continuous production of next-generation IP. More recently this leadership in IP and integration has scaled beyond mobile to support everything from automotives to smart cities and home to personal devices with high performance low power on-device intelligence for everything wireless. This talk will highlight the challenges presented in the face of increasingly diverse and complex product applications and customer specifications; how state-of-art machine learning is and can be employed to address these challenges; and how one can prepare themselves to make an impact in the space of ML-based SOC Design.


Call for Papers

Artificial Intelligence

Cognitive Science


We invite submissions in the broad areas of Artificial Intelligence and Cognitive Science to communicate the advances and achievements in these fields. Areas of interest include, but are not restricted to:

  • Machine learning
  • Automated reasoning
  • Natural language processing
  • Computer vision
  • Robotics
  • Planning and scheduling
  • Decision analytics
  • Moral judgment
  • Intelligent agents
  • Concept combination
  • Knowledge representation
  • Reasoning
  • Intelligent systems
  • Machine translation
  • Knowledge graphs
  • Causal inference
  • Recommender systems
  • Semantic web/Linked data
  • Computer vision
  • Neural networks
  • Deep learning
  • Dialogue systems
  • Opinion mining
  • Information systems
  • Game-playing
  • Visual analytics
  • Digital twins
  • Smart environments
  • Neuro-symbolic integration
  • Social cognition
  • Cognitive robotics
  • Cognitive modelling
  • Cognitive neuroscience
  • Embodied and grounded cognition
  • Creative cognition
  • Counterfactuals
  • Explainability
  • Cognitive psychology
  • Humanities and linguistics
  • Neuroeconomics
  • Neuroethics
  • Neurolaw
  • AI and cognition
  • Cognition and simulation
  • Argumentation
  • Human perception
  • Language
  • Memory
  • Attention
  • Emotion
  • Fairness
  • Interpretability
  • Transparency
  • Ethics of AI
  • Deduction


We seek articles which report on in-use experiences (design, engineering, deployment, utility, and challenges) of AI-based, and cognitive-based.

We invite three types of submissions.

  • Full Paper Track: Full paper submissions should consist of original contributions (describing fundamental basic research, interesting applications, in-use experiences, or reviews of the field) not published in other forums. Papers should be 6 to 12 pages in length (references included)*.
  • Student Track: This track is designed to facilitate students who have recently completed a Bachelor’s or Master’s programme with a dissertation component. Student track submissions should consist of original contributions (describing either basic research or interesting applications), and the first author must be the student upon whose dissertation the paper is based. Papers should be 6 to 12 pages in length (references included)*.
  • * - Note each additional page over 12 pages will incur an additional fee of €50 per page.

Paper Submission


All accepted Full-paper and Student Track submissions will be presented at the conference, either orally or as posters, and included in the online conference proceedings. At least one author of each submission will be required to register for, and attend, the conference. All submissions must be made via the Easychair system online here.

Full Paper Track papers and Student Track papers must be submitted in Springer LNCS format (single column proceedings), which is also the format required for the final camera-ready copy. A sample LaTeX document in this format is available here.

NECTAR Track submissions must follow the following template found here.

Instructions for 1-Page Extended Abstracts can be found here.

All accepted submissions in Full Paper Track and Student Paper Track will appear in online proceedings published at Communications in Computer and Information Science by Springer.
Communications in Computer and Information Science by Springer logo

Important Dates


  • Paper Submission Deadline for all Tracks - 5th October 25th September 2022
  • Acceptance Notification for all Papers - 19th 1st Nov. 2022
  • Camera Ready Submissions (all tracks) - 26th Oct. 11th Nov. 2022
  • Conference Dates - 8th - 9th December 2022

All indicated times are EOD, 23:59 Irish time.

Registration


Registration for AICS 2022 is now open. Tickets are available from the MTU Events Portal. There are several ticket types so please review the information on the portal and select appropriately. At least one author of an accepted paper must be registered for the conference.


  • Attendee (inc. Gala dinner): €200.00
  • Student Attendee (inc. Gala dinner): €160.00
  • Attendee (ex. Gala dinner): €160.00
  • Student Attendee (ex. Gala dinner): €120.00
  • Register here: MTU Events Portal

Conference venue location: Nexus Building, MTU

Gala dinner location: The River Lee Hotel

Programme


Thursday, Dec 8th
  • 08:30 - Registration

  • 09:15 - 09:30 - Welcome, conference opening

  • 09:30 - Session #1

  • 11:00 - Coffee Break & Poster Session

  • 11:30 - Session #2

  • 13:15 - Lunch & Poster Session

  • 14:00 - Keynote

  • 14:45 - Session #3

  • 16:15 - Coffee Break & Poster Session

  • 16:45 - Session #4

  • 19:30 - Gala Dinner @ The River Lee Hotel

Friday, Dec 9th
  • 08:45 - Session #5

  • 10:00 - Keynote

  • 10:45 - Coffee Break & Poster Session

  • 11:15 - Session #6

  • 12:45 - Qualcomm Talk

  • 13:15 - Lunch & Poster Session

  • 14:00 - Session #7

  • 15:30 - Closing Remarks & conference closed

  • 15:45 - AIAI Community Meeting (invitation-only boardroom session)

Organisation


Organising Committee

PC Member Affiliation
James Vincent PattenUniversity of Limerick
Enrique NaredoUniversity of Limerick
Malachy EatonUniversity of Limerick
Eoin GruaUniversity of Limerick
Meghana KshirsagarUniversity of Limerick
Pepijn Van de VenUniversity of Limerick
John NelsonUniversity of Limerick
Ciaran EisingUniversity of Limerick
Katie CrowleyUniversity of Limerick
Suzanne EganUniversity of Limerick
Muftah FraiferUniversity of Limerick
Conor HayesUniversity of Galway
Josephine GriffithUniversity of Galway
Pilib O BroinUniversity of Galway
Colm O'RiordanUniversity of Galway
Paul BuitelaarUniversity of Galway
Michael SchukatUniversity of Galway
James McDermottUniversity of Galway
John P. McCraeUniversity of Galway
Frank GlavinUniversity of Galway
Elham AlghamdiUniversity College Dublin
Declan DelaneyUniversity College Dublin
Arjun PakrashiUniversity College Dublin
Padraig CunninghamUniversity College Dublin
Ellen RusheUniversity College Dublin
Georgiana IfrimUniversity College Dublin
Brendan MurphyUniversity College Dublin
Brian Mac NameeUniversity College Dublin
Simon CatonUniversity College Dublin
Barry SmythUniversity College Dublin
Rob BrennanUniversity College Dublin
Derek GreeneUniversity College Dublin
Fintan CostelloUniversity College Dublin
Fred CumminsUniversity College Dublin
Mark KeaneUniversity College Dublin
Aonghus LawlorUniversity College Dublin
Rem CollierUniversity College Dublin
Ruihai DongUniversity College Dublin
Barry O'SullivanUniversity College Cork
Guillaume EscamocherUniversity College Cork
Begum GencUniversity College Cork
Ken BrownUniversity College Cork
Andrea BaloghUniversity College Cork
Mark O SullivanUniversity College Cork
Gregory ProvanUniversity College Cork
Derek BridgeUniversity College Cork
Darryl CharlesUlster University
Paul Mc KevittUlster University
Debbie RankinUlster University
Michaela BlackUlster University
Ivana DusparicTrinity College Dublin
Lucy McKennaTrinity College Dublin
John GilliganTechnological University Dublin
Bianca Schoen PhelanTechnological University Dublin
Eoin RogersTechnological University Dublin
Anh Duong TrinhTechnological University Dublin
Bujar RaufiTechnological University Dublin
Pierpaolo DondioTechnological University Dublin
Bojan BožićTechnological University Dublin
Sarah Jane DelanyTechnological University Dublin
Lucas RizzoTechnological University Dublin
Robert RossTechnological University Dublin
Hung NgoTechnological University Dublin
James UsherTechnological University Dublin
Susan MckeeverTechnological University Dublin
Luca LongoTechnological University Dublin
Elizabeth HunterTechnological University Dublin
Xhemal ZenuniSEE University in Tetovo
Conor LynchNimbus Research Centre (MTU)
Ted ScullyMunster Technologicial University
Ryan DonovanMunster Technologicial University
Ignacio CastineirasMunster Technologicial University
Kashif AhmadMunster Technological University
Ruairi O'ReillyMunster Technological University
Alison O'SheaMunster Technological University
Niall O MahonyMunster Technological University
Brian MurphyMunster Technological University
Daniel RiordanMunster Technological University
Diarmuid GrimesMunster Technological University
Haithem AfliMunster Technological University
Alex VakaloudisMunster Technological University
Christian BederMunster Technological University
Louise ConnellMaynooth University
Ralf BierigMaynooth University
Diarmuid O'DonoghueMaynooth University
Deirdre DesmondMaynooth University
Anila MjedaLero
Tiziana MargariaLero
Luis QuesadaInsight Centre for Data Analytics (UCC)
Nic WilsonInsight Centre for Data Analytics (UCC)
Julia DietlmeierInsight Centre for Data Analytics
Steve PrestwichInsight Centre for Data Analytics
Diego CarraroInsight Centre for Data Analytics
Ken DuffyHamilton InstituteMaynooth University
Takfarinas SaberDublin City University
Alan SmeatonDublin City University
Suzanne LittleDublin City University
Lifeng HanDublin City University
Gareth JonesDublin City University
Marija BezbradicaDublin City University
Julio Noe Hernandez TorresDublin City University
Liam MarnaneUniversity College Cork
Seamus DowlingAtlantic Technological University
Harshvardhan J. PanditADAPT Centre (TCD)
Brian DavisADAPT Centre
Paul WalshAccenture
Alexey Tarasov2K Games Dublin

AICS Sponsors 2022


If you are interested in sponsoring AICS2022 then please download the AICS2022 sponsorship prospectus. A sincere thanks to our sponsors to date:

Accommmodation


Hotels
# Venue Dist. Conf. Travel Prices
The River Lee Hotel* 4km Bus 205/220/208 From €240
The Kingsley Hotel 2.5km Bus 220/201 From €189
Jurys Inn Cork 5.5km Bus 205/220/208 From €179

* Note the Gala dinner is taking place in the River Lee Hotel. 15% off best available rate on the day of booking - booking reference for the River Lee is CCGM081222 and guests can contact cork@doylecollection.com to book or call the hotel direct quoting reference number (Subject to availability).

B & Bs
# Venue Dist. Conf. Travel Prices
Lancaster Lodge 4.1km Bus 205/208/220 From €149
Redclyffe Guesthouse 3.3km Bus 205/220 From €95
Shandon Bells Guest House 3.7km Bus 205/220 From €125
Hostels
# Venue Dist. Conf. Travel Prices
Bru Bar & Hostel 5.6km Bus 205/220/208 From €37
Sheilas Cork Hostel 5.7km Bus 205/220/208 From €26

Travel


Cork city is accessible via train, bus and air. Kent train station is located on the Lower Glanmire Road and is connected to MTU via bus no. 205, 208 and 220 (205 is the most direct). For payment it is best to use Leapcard or have the cash fare (€1.90). The main bus station is on Parnell Place (https://goo.gl/maps/Pe92FEQ1tRFzdULP8), with bus no. 205, 220 or 208 best connected to MTU. The Aircoach and Gobus stops in Cork on Lower Glanmire road, with best connectivity to MTU being bus no. 205.

In general bus no. 205, 208 and 220 go in the direction of MTU from the city center with 205 stopping the closest.