Scholar
Maurice Pagnucco
Google Scholar ID: lqjmockAAAAJ
Professor, The University of New South Wales
Citations & Impact
Citations
1,557
H-index
23
i10-index
43
Publications
20
Co-authors
30
list available
Publications
Resume (English only)
Academic Achievements
- Publications can be obtained from DBLP and Google Scholar. A list of the competitive grants with which he has been involved can be accessed.
Research Experience
- Currently the Deputy Dean (Education) of the Faculty of Engineering at UNSW. Previously served as the Head of the School of Computer Science and Engineering (CSE) from July 2010 to September 2019. Holds roles such as Fellow of the Australian Academy of Technological Sciences & Engineering (ATSE), Deputy Director of Creative Robotics Lab (CRL), Co-Director of the Intelligent Environments Lab, Professorial Fellow at the iCinema Centre for Interactive Cinema Research, Director & Chair Lifetime Awards of Pearcey Foundation, Vice President of Computing Research and Education Association of Australasia (CORE), Executive of the Australian Council of Engineering Deans (ACED), College of Experts of the Australian Research Council (ARC), and Member of the Artificial Intelligence (AI) & Ethics Committee of the Australian Computer Society (ACS). Previous roles include President (mid-2016 -- mid-2018) and Immediate Past President (mid-2018 -- mid-2020) of the Australian Council of Deans of ICT (ACDICT), Chair of NICTA (now Data61; Australia's national ICT centre of excellence) University Partner Committee, and Chair of NSW Steering Committee for Digital Careers.
Education
- Ph.D. dissertation (1996): The Role of Abductive Reasoning within the Process of Belief Revision. It deals mainly with the belief revision framework developed by Alchourrón, Gärdenfors and Makinson (AGM) and uses this theory to investigate various abductive belief revision operators.
Background
- Main research interests lie in Artificial Intelligence: Knowledge Representation and Reasoning, Belief Change, Cognitive Robotics, Reasoning About Actions, Computational Machine Ethics, Neurosymbolic Machine Learning, Trustworthy Artificial Intelligence, Reasoning and Truthfulness in Large Language Models, Robotic Vision.
Miscellany
- Actively recruiting PhD, Masters by Research, Postgraduate Coursework Masters research project, and Honours/Thesis students. Involved in two Vertically Integrated Projects: R2: Robo-re-Cycle and AI4Everyone.
