Scholar
Nir Lipovetzky
Google Scholar ID: us3IGxsAAAAJ
Associate Professor, The University of Melbourne, School of Computing and Information Systems
Citations & Impact
Citations
1,564
H-index
20
i10-index
39
Publications
20
Co-authors
37
list available
Publications
Resume (English only)
Academic Achievements
- - 2024 ECAI Paper: Count-based Novelty Exploration in Classical Planning
- - 2024 AAMAS Best-Student Paper Award: Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability
- - 2024 AAAI Paper: Generalized Planning for the Abstraction and Reasoning Corpus
- - 2023 ICPM Paper: Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
- - 2023 AIJ Paper: Fast and accurate data-driven goal recognition using process mining techniques
- - 2023 ECAI Paper: Diverse, Top-k, and Top-Quality Planning Over Simulators
Research Experience
- - Research fellow for 3 years under the supervision of Prof. Peter Stuckey and Prof. Adrian Pearce, working on solving Mining Scheduling problems through automated planning, constraint programming, and operations research techniques.
Education
- - 2020, Graduate Certificate in University Teaching, The University of Melbourne
- - 2012, PhD in Artificial Intelligence, Universitat Pompeu Fabra, supervised by Prof. Hector Geffner
- - 2007, MEng in Artificial Intelligence, Universitat Pompeu Fabra
- - 2004, BSc in Computer Science, Universitat Pompeu Fabra
Background
- Associate Professor in Artificial Intelligence at the School of Computing and Information Systems, The University of Melbourne. He is a member of the Agent Lab group and the Digital Agriculture, Food and Wine lab. His research focuses on introducing different approaches to the problem of inference in sequential decision problems, as well as applications to autonomous systems in agriculture.
Miscellany
- Interests include AI planning, search, learning, verification, constraint programming, operations research, intention recognition, sequential decision problems, and autonomous systems.
