2 citations · 2 across the 5 of their papers we have counts for
6 papers
Inverse Design of Cellular Composites for Targeted Nonlinear Mechanical Response via Multi-Fidelity Bayesian Optimisation
Hirak Kansara, Leo Guo, Wei Tan
The rise of machine learning and additive manufacturing has enabled the design of architected materials with tailored properties that surpass those of natural materials. Inverse de…
Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures
Leo Guo, Hirak Kansara, Siamak F. Khosroshahi +2
Finite element (FE) simulations of structures and materials are getting increasingly more accurate, but also more computationally expensive as a collateral result. This development…
Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices
Leo Guo, Adwait Inamdar, Willem D. van Driel +1
Solder joint reliability related to failures due to thermomechanical loading is a critically important yet physically complex engineering problem. As a result, simulated behavior i…
Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption
Hirak Kansara, Siamak F. Khosroshahi, Leo Guo +2
In the pursuit of designing safer and more efficient energy-absorbing structures, engineers must tackle the challenge of improving crush performance while balancing multiple confli…
Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information
Yukun Jiang, Leo Guo, Xinyi Chen +1
Session-based recommender systems typically focus on using only the triplet (user_id, timestamp, item_id) to make predictions of users' next actions. In this paper, we aim to utili…
AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning
Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima +2
Computational Intelligence (CI), which includes fuzzy logic (FL), neural network (NN), and evolutionary computation (EC), is an imperative branch of artificial intelligence (AI). A…