Research output per year
Research output per year
Personal profile
Research Interests
Systems Science, Computer based Control, Machine Learning, Artificial Intelligence, Natural Language Processing
Operations Research, Smart Manufacturing, Ad Hoc/5G Wireless Networks, Robust Control, Robust Performance Assessment,
Structured Singular Value, Digital Power Control, Power/Energy Management, Biomedical Systems.
Teaching Interests
Automatic Control EE4216,
Digital (Computer) Control EE6452,
Electrical Power Systems EE4005,
Electrical Engineering EE4001
Biography
2021 - Present andnbsp;andnbsp;Professor of Digital Technologies and Academic lead for the HCI UL@Work project.
2017 - 2021 andnbsp; andnbsp;Head, Department of Electronic and Computer Engineering.
1995 - 2017 Assistant Lecturer, Lecturer above the Bar and Senior Lecturer, Department of Electronic and Computer Engineering, University of Limerick.
1992- 1995 Researcher at the Control Systems Group, Department of Electronic Engineering Dublin City University.andnbsp;
1993 - 1995 Lecturer (Part-Time) at the Institute of Technology, Tallaght.andnbsp;
1989 - 1992 Research Officer at the Electronics Manufacturing Centre, AMT Ireland.andnbsp;
1987 - 1988 Technician at the Teagasc Research Centre, Moorepark, Fermoy, Co. Cork.
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):
Education/Academic qualification
PhD, Ph.D., Dublin City University
Award Date: 1 Jan 1997
Masters, M.Eng
Award Date: 1 Jan 1992
Bachelor, B Eng
Award Date: 1 Jan 1989
Fingerprint
Dive into the research topics where Martin Hayes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
AI-driven real-time failure detection in additive manufacturing
Bhattacharya, M., Penica, M., O'Connell, E. & Hayes, M., 2024, In: Procedia Computer Science. 232, p. 3229-3238 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A Survey of Incremental Deep Learning for Defect Detection in Manufacturing
Mohandas, R., Southern, M., O’Connell, E. & Hayes, M., Jan 2024, In: Big Data and Cognitive Computing. 8, 1, 7.Research output: Contribution to journal › Review article › peer-review
Open Access -
Subjective Scoring Framework for VQA Models in Autonomous Driving
Rekanar, K., Ahmed, A., Mohandas, R., Sistu, G., Eising, C. & Hayes, M., 2024, In: IEEE Access. 12, p. 141306-141323 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments
Mohandas, R., Mongan, P. & Hayes, M., Oct 2024, In: Sensors. 24, 20, 6553.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptable Decision Making Chatbot System: Unlocking Interoperability in Smart Manufacturing
Penica, M., Bhattacharya, M., O'Brien, W., McGrath, S., Hayes, M. & O'Connell, E., 2023, Proceedings - 2023 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2023. Miraz, M. H., Southall, G., Ali, M., Ware, A., Campbell, C. & Walcott, T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 23-29 7 p. (Proceedings - 2023 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review