Chiara Piacentini
Computational Scientist, Augmenta AI
I am currently a computational scientist at Augmenta, working on combinatorial optimization problems for generative design.
Previously, I was a postdoctoral research fellow in the in the Toronto Intelligent Decision Engineering Laboratory at the University of Toronto. My research focused on the use of Mixed Integer Programming and Constraint Programming techniques for AI planning with time and resources.
I obtained my Ph.D. from King’s College London working under the supervision of Maria Fox and Derek Long. During my Ph.D., I worked on various projects based on the application of AI planning and scheduling to real-world problems. These involve non-linear numeric effects, discrete optimization, and probabilistic reasoning, particularly in the area of smart grid and search and track missions.
news
Jan 13, 2020 | I joined Augmenta AI! |
Feb 6, 2019 | Paper accepted to ICAPS-19: An Admissible Heuristic for Delete-Free Planning Based on a Discrete Relaxation |
Nov 1, 2018 | I will be giving a talk on Linear and Integer Programming for Cost-optimal Numeric Planning in IBM Symposium on Recent Advances in AI Planning |
Feb 1, 2018 | Paper accepted to ICAPS-18: Compiling Optimal Numeric Planning to Mixed Integer Linear Programming |
Nov 10, 2017 | Paper accepted to AAAI-18: Linear and Integer Programming-based Heuristics for Cost-optimal Numeric Planning |