Josué Labaki, PhD. I graduated in mechanical engineering from the São Paulo State University at Ilha Solteira-SP, then went on to obtain my MSc and PhD from the University of Campinas (Unicamp), with a four-year post-doc at Simon Fraser University - Canada, and Unicamp. I'm currently an assistant professor at the School of Mechanical Engineering/Unicamp. CV.
Amanda Oliveira, MSc is the only civil engineer in our laboratory. In her Master's program, she derived a model of piled structures exchanging energy through the soil. In her PhD, she is deriving novel models of pile group vibration. CV.
Aldemar Siqueira, MSc develops methods to study topology optimization of buried structures such as foundations for surface structures and reinforcements for canals and tunnels.
Leonardo Antoniazzi is studying how decorative roadside boulders can be used to attenuate ground vibration.
Cassiano Bueno is a mechanical engineer from the Brazilian Synchrotron Light Source. He investigates how deep learning strategies can help us make sense of seismic signals with poor signal-to-noise ratios.
David Carneiro, MSc* used coupled boundary- and finite-element methods to understand how a heavy mass such as a long wall on the surface of the soil alters the vibration profile of its surroundings. CV. MSc Dissertation.
Iago Cavalcante, MSc* derived advanced numerical integration schemes to deal with singular, transcendental integrands. CV; MSc Dissertation.
Ana Carolina Vasconcelos, MSc* crafted an efficient implementation of the impedance-matrix method for massively large pile groups. CV; MSc Dissertation.
Emanuel Tavares, MSc* investigated how the flexibility of the foundation affects the topology optimization of piled structures. CV; MSc Dissertation.
(* marks alumni)
Beatriz Bragaglia is studying how self-weight loading affects the optimal topologies of large-scale structures.
Beatriz Oba is studying optimal orientation for buried structures to induce maximum ground vibration attenuation.
Aline Guillermo is using DeepONet machine learning for high performance evaluation of numerical integrals.
Maria Eduarda Xavier is implementing a deep learning keylogger to crack passwords based on the sounds from typing.
Davi dos Anjos is studying how decorative roadside boulders can attenuate ground vibration generated by vehicle traffic.
Miguel Ribeiro* developed a mobile platform to collect sensor signals to feed and train neural networks hosted in the cloud.
André Pimentel* worked in a joint project with our neighbor Laboratory of Rotating Machinery (Lamar) to try and extract rotor and bearing characteristics off of experimental spectrograms using deep learning.
Bruno Eduardo Oliveira* worked on a deep learning-based remote-sensing password cracker, and implemented a mobile platform for signal acquisition and neural network training in the cloud. In a separate project, he also developed an Arduino-based device for automatic, fraud-free attendance control in classrooms.
Marcos Ueda* worked on a deep learning scheme to solve jigsaw-like puzzles, as well as reassemble torn up documents.
Matheus Dias* studied stress distribution in truss-based cranes through matrix analysis of structures.
Levi Farias* was responsible for selecting and evaluating online tools for occasional distance teaching. The results of his work are here and were featured at Unicamp's portal.
Felipe Takaoka* wrote an application to model tree roots as mathematical graphs based on actual biological parameters, to be used for mechanical analyses.
Karina Lin works with commercial software to understand failure criteria and failure mechanisms of natural-fiber composite materials.
Lucas Del Rey will use topology optimization tools to improve the design of one of Unicamp's formula cars.
Lucas Mamedes is studying topology optimization of 3D dynamic soil-structure interaction problems.
Diego Oliveira is using multiphysics topology optimization to improve the aerodynamics of model aircraft for our extracurricular aerodesign team Urubus.
Vitor Mancusi is using granular media modeling to study the structural stability of ant nests.
Thomás Gaiotto* studied how we can use statistical analyses of human typing patterns to identify what's being typed in a computer keyboard.
Gabriel Marques* used the CRootBox package together with Abaqus to model tree roots for mechanical analyses.
Pedro Henrique Pinto* used deep learning to identify pitch and timbre of string instruments from experimental spectrograms.
Mateus Mendes* developed a script in Abaqus to incorporate the effect of foundation flexibility in dynamic analyses of arbitrarily-shaped structures.
Gabriel Negrucci* worked with topology optimization of three-dimensional structures supported by piles, under static loads.
Reinaldo de Melo* looked into deep learning classification problems involving multiple labels: programming a deep learning network to recognize the timbre of an instrument.
Bruno Carreiro* was Unicamp E-Racing's team captain. In this work, he used commercially-available software for topology optimization of a component of their formula car.
Subha Pushpita* was a Bangladeshi Computer Science and Engineering, Mathematics student at MIT. Her work in our group was to understand how human typing patterns can help us crack passwords.
Felipe Wyatt Varga* was a mechatronics technician from Cotuca - Technical College of Campinas. In this internship with our group he built and programed a robot than can bypass recaptchas - a fun gimmick for UPA 2020, Unicamp's annual open-campus event.
João Vitor Pereira* was an eletroelectronics technician at Cotuca. In this internship, he designed a workout-grade whack-a-mole arcade for presentation at UPA 2020.