Professor Cunningham is professor of Knowledge and Data Engineering in the School of Computer Science at University College Dublin. His current research focus is on the analysis of graph and network data and on the use of machine learning techniques in processing high-dimension data.
After completing his PhD, he worked with Digital Equipment Corporation as a software engineer and with Hitachi Europe Ltd. as a research scientist. He joined Trinity College Dublin as a lecturer in 1992. After promotion to senior lecturer and then associate professor at TCD, he moved to University College Dublin in 2006 to take up a full professorship in the School of Computer Science and Informatics.
Moreover, he is a former director of New World Commerce, now New WorldIQ, a Dublin e-commerce IT company. He is also a former director of Prediction Dynamics a Dublin company specialising in software for financial trading. He was also programme chair for PAIS 2004, Prestigious Applications of Intelligent Systems (ECAI applications track).
Professor Cunningham has published over 170 peer-reviewed papers in the general area of applied AI, focusing on machine learning and knowledge based systems for decision support in engineering, e-commerce, finance and medicine. Over the last 10 years, he has brought in over 2.5M in research grants, from industry, EU funding sources and from national funding sources. He is a member of the Editorial Board of Artificial Intelligence Review. He was co-chair for the European Workshop on Case-Based Reasoning in 1998. He also chaired the Irish AI and Cognitive Science conference in 2003, having co-chaired that conference in 1994. Between 2002 and 2004, he served as Irish Director of ERCIM (www.ercim.org), the European consortium of national ICT research institutions.
Blanzeisky, W., & Cunningham, P. (2022). Addressing Underestimation Bias in Machine Learning Through Multi-Objective Optimization. Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD 22 program, IRT SystemX [IRT SystemX], Sep 2022, Grenoble, France, France. Ffhal-03773367f
Blanzeisky, W., Smyth, B., & Cunningham, P. (2022). Algorithmic Bias and Fairness in Case-Based Reasoning. Lecture Notes in Computer Science book series (LNAI,volume 13405)
Blanzeisky, W., & Cunningham, P. (2022). Algorithmic Factors Influencing Bias in Machine Learning. Communications in Computer and Information Science book series (CCIS,volume 1524)