Bruno Machado Pacheco Email & Phone Number

Montreal, QC, CA

Florianópolis, Santa Catarina, Brazil

• Trained state-of-the-art U-Net-based models for brain tumor segmentation and brain extraction (brain segmentation)
• Authored a journal article on deep-learning-based brain extraction methods in the tumor segmentation pipeline
• Authored a conference paper on pre-training deep learning models for brain age estimation
• Currently working on post-hoc confidence estimation for selective prediction on image segmentation tasks

Kreisfreie Stadt Aachen Area, Germany

• Developed and implemented an anomaly detector for time series data from an industry partner;
• Co-authored a scientific publication on automatic machine learning application in the production environment;
• Implemented and automated a data preprocessing pipeline for a turbomachinery milling process (+250 GB per dataset).

Florianópolis Area, Brazil

• Main activities:
• Lead 15 high qualified engineering students, managing their performances and interests;
• Study, organize and implement the group's strategic plan;
• Manage the expectation of the 4 partner companies: WEG, Embraco, CERTI Foundation and BIX Technology;

Florianópolis Area, Brazil

• NEO Empresarial is a program designed to develop engineering students with technical, managerial and personal abilities through its self administration as well as the technical execution of projects in partnerships.
• Implemented an ARIMA and a LSTM Network using Python for time series forecasting, aiming to reduce the prediction-making process and to improve its accuracy;
• Developed a library in C for micro-controllers to communicate with an I2C MEMs sensor, for a specific application;
• Developed a software to manage tests of an industrial laboratory, providing the users the ability to visualize and compare multiple results, improving the performance analysis of the tested materials.

Jaraguá Do Sul Area, Brazil

• Automatization of a bearing fault detection test using envelope analysis through LabVIEWsoftware development.
• Multiple accelerometers data acquisition using National Instruments DAQmxlibrary;
• Acceleration signal processing to generate envelope signal and its magnitudespectrum, besides other auxiliary analyis;
• Software validation using large motors.

Joinville Area, Brazil

• Development of a new production planning and control system for a disassembly line, bythe adaptation of main concepts of PPC for assembly lines. Additionally, a new demandprevisibility system was developed using.
• Analysis and adaptation of PCP and reverse manufacturing related theory;
• Enhancement of production previsibility improving human resources’ efficiencythrough idleness reduction.;

Doctor Of Philosophy - Phd, Computer Science

Master'S Degree, Systems And Automation Engineering, 9.05/10

Thesis: Deep-learning-based Primal Heuristics for MILP: Supervised Solution-prediction Models Advisor: Prof. Eduardo Camponogara Research.

Bachelor'S Degree, Control And Automation Engineering, 8.73/10

Activities and Societies: Honours course in calculus and linear algebra (PAM). Student project: part counting in RGBD images using deep.