Personal profile
Biography
Dr Matthias Nickles is a Lecturer Above the Bar (~ tenured Assistant Professor) in the School of Computer Science at University of Galway, Ireland. He commenced his current position after studying Computer Science with Psychology at Ludwig Maximilians University Munich (LMU), obtaining a PhD in Computer Science/Artificial Intelligence from Technical University of Munich (TUM), Germany, and working in research and teaching positions at TUM and University of Bath (UK). His main research interests are in Artificial Intelligence, in particular Agents and Multi-Agent Systems, Reinforcement Learning, and Knowledge Representation and Logic. He has authored or co-authored more than 90 publications in his research areas and has been a member of more than 40 program committees and 12 organization committees of international workshops or conferences. He was appointed a W3C Invited Expert on Web Uncertainty Reasoning and has been active in several collaborative research projects in his research areas.
Research Interests
Artificial Intelligence (AI), in particular Multi-Agent Systems, Intelligent Agents, Reinforcement Learning, and Knowledge Representation and Logic
Related documents
Education/Academic qualification
BSc, MSc, PhD
Keywords
- QA75 Electronic computers. Computer science
- QA76 Computer software
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
- 1 Similar Profiles
-
FedQAM: Quality Assurance Mechanism in Federated Learning Using Client-Side Testing and Thresholding
Khan, M., Nickles, M. & Glavin, F. G., 2026, Distributed Computing and Artificial Intelligence, Special Sessions 2, 22nd International Conference. Marreiros, G., Martinho, D., Hernández, G., Caron, A.-C., Rocha, T., Román, J. Á., González-Vidal, A., Gil-Merino, R. & Parra, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 529-539 11 p. (Lecture Notes in Networks and Systems; vol. 1630 LNNS).Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
-
Empowering Federated Learning: Tackling Client Drift and Resource Constraints with Knowledge Distillation by Combining Losses
Khan, M., Glavin, F. G. & Nickles, M., 2023, 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. Institute of Electrical and Electronics Engineers Inc., (2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023).Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
1 Citation (Scopus) -
Exploring Abductive Reasoning in Language Models for Data-to-Text Generation
Onderkova, K. & Nickles, M., 2023, 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023. Institute of Electrical and Electronics Engineers Inc., (2023 31st Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2023).Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
-
Federated Learning as a Privacy Solution - An Overview
Khan, M., Glavin, F. G. & Nickles, M., 2022, In: Procedia Computer Science. 217, p. 316-325 10 p.Research output: Contribution to a Journal (Peer & Non Peer) › Conference article › peer-review
Open Access67 Citations (Scopus) -
diff-SAT - A Software for Sampling and Probabilistic Reasoning for SAT and Answer Set Programming
Nickles, M., 2021, In: CoRR. abs/2101.00589Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Activities
- 2 Current Postgraduates (Research) Supervised
-
Mashal Khan
Nickles, M. (Co-Supervisor)
2024 → …Activity: Other › Current Postgraduates (Research) Supervised
-
Bentolhoda Binaei
Nickles, M. (Primary Supervisor)
2024 → …Activity: Other › Current Postgraduates (Research) Supervised