Research team

Laboratory Head

• 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.

PhD candidates

• 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.

MSc candidates

• 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)

Undergraduates

• 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.

Senior undergraduates

• 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.

International students

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.

Interns

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.