teaching experience
teaching experience
Department of Electrical and Computer Engineering (ECE)
University of Michigan – Dearborn, MI, USA
Fall 2025
ECE 3100 - Data Science I (Instructor, 20 students)
This course provides an overview of the mathematical and computational solution methodologies needed in the field of data science, including, data processing, analysis and visualization, regression, pattern recognition and classification, time series prediction, and clustering. The course includes case studies or assignments that require students to work on real-life data science problems
ECE 517 - Advanced Power Electronics and Motor Drives (Instructor, 20 students)
This is an advanced course on power electronics and electric drives. Example topics include DC, induction, synchronous and reluctance drives; industrial and residential application of power electronics; practical aspects of design of power electronics devices including heat sink and magnetic components designs. Three lecture hours per week.
Summer 2025
ECE 4981-001 - Engineering Design II (Advisor, 2 teams with 4 students each)
- First Team: Developed a real-time signal processor system able to tune, amplify, or compensate sound harmonics and components.
- Second Team: Developed a portable 12W buck converter with a PI controller for small loads.
Winter 2025
ECE 385 - Elec Materials and Devices (Instructor, 32 students)
Introduction to properties of conductors, semi-conductors, and insulators. Definitions of stress and strain. Description of the mechanical behavior of solids. Characterization of selected materials; circuit models for resistors, capacitors, inductors, junction and field-effect transistors, etc. Three lecture hours per week.
Obtained an overall evaluation (85% response rate) as instructor of 4.73/5.
ECE 544 - Mobile Robots (Instructor, 27 students)
This course gives an introduction to all the fundamentals of mobile robots, ranging from theory, such as kinematics, over hardware, such as sensors and motors, to core algorithms for sensory information processing, motion planning and control, and etc. A high level-overview of different types of mobile robots is presented first. Then, theoretical methods for analyzing the kinematic and dynamic properties of a mobile robot are discussed, followed by the discussion on the key subsystems of a mobile robot, including perception, localization, planning and control. For each subsystem, the discussion includes relevant methods for understanding and constructing the model of the environment or planning and controlling the motion of the robot.
Obtained an overall evaluation (67% response rate) as instructor of 4.83/5.
ECE 4981-001 - Engineering Design I (Advisor, 2 teams with 4 students each)
ECE 4981-002 - Engineering Design II (Advisor, 3 teams with 4 students each)
- First Team: Developed an electronic chessboard, with an integrated camera for identifying the pieces in real-time and a Raspberry system with running an AI algorithm for playing against a human.
- Second Team: Developed an automatic greenhouse system that controls humidity, temperature and collect this information and display to the user in an external environment for taking care of small plants.
- Third Team: Developed an integrated system for disability people, for identifying guests via camera, and provide lights dimming and lock controls via smart gestures using a ML algorithms in a Rasp camera. (This team won a distinction as one of Top 3 projects in 2025 Senior Design Day!)
Fall 2024
ECE 3100 - Data Science I (Instructor, 8 students)
This course provides an overview of the mathematical and computational solution methodologies needed in the field of data science, including, data processing, analysis and visualization, regression, pattern recognition and classification, time series prediction, and clustering. The course includes case studies or assignments that require students to work on real-life data science problems
Obtained an overall evaluation (100% response rate) as instructor of 4.98/5.
ECE 4981-001 - Engineering Design I (Advisor, 3 teams with 4 students each)
Summer 2024
ECE 4981-002 - Engineering Design II (Advisor, 2 teams with 4 students each)
- First Team: Developed a maze solving robot using a Raspberry Pi, ultrasonic sensors and a camera. The robot was able to identify a direction and get out a predefined maze.
- Second Team: Developed an automatic ABS system for bikes, enabling to detect wheel slippage and necessity to go for ABS system to avoid crashes. (This team won as best project in 2024 Senior Design Day!)
Winter 2023:
ECE 4981-001 - Engineering Design I (Advisor, 2 teams with 4 students each)
ECE 4981-002 - Engineering Design II (Advisor, 3 teams with 4 students each)
- First Team: In development of an electric scooter from a standard mechanical scooter. The electrical scooter comprehends a 350W motor, as well as an LCD, GPS, and measurements of voltages, currents, and temperature.
- Second Team: In development of an electronic punch-bag system for smart workout. The system contains punch pressure and accuracy measurements and is customizable according to the user necessities. (This team won a distinction as one of Top 3 projects in 2024 Senior Design Day)
- Third Team: In development of a heath care system for plants, with a built-in camera that run ML algorithms for identifying pathogens and issues during the plant growth process.
Fall 2023:
ECE 4981-001 - Engineering Design I (Advisor, 3 teams with 4 students each)
ECE 4981-002 - Engineering Design II (Advisor, 2 teams with 4 students each)
- First Team: Developed a 3-D printed arm-based robot with 4 DC motors and a claw, that is wireless controlled by the user's hand position and movement.
- Second Team: Developed a voice-based robot that understand the user's voice commands and follow the movement instructions accordingly.
Summer 2023
ECE 4981-001 - Engineering Design I (Advisor, 2 teams with 4 students each)
ECE 4981-002 - Engineering Design II (Advisor, 3 teams with 4 students each)
- First Team: Developed an electronic glove with machine learning that reads the fingers position and send it via wireless to a robotic hand, which mimics the user hand movement.
- Second Team: Developed a drone control system with a machine learning algorithm that interpret the gestures and translate it to motors throttle in real-time.
- Third Team: Developed a non-intrusive blood sugar measurement system, which monitors the blood sugar and keeps a report and available data in a smartphone application.
Winter 2022:
ECE 4981-001 - Engineering Design I (Advisor, 3 teams with 4 students each)
First Semester Electrical Engineering Design and Computer Engineering Design. These courses are conducted as a guided project design course over a two semester period, with the class divided into teams, each assigned a specific design project. Periodic progress reports, a final written report, an oral presentation and project demonstration are required. Cost analysis, societal impact, safety issues, evaluation of design alternatives and application of engineering principles are emphasized.
Fall 2022
ECE 4432 - Renewable Electrical Power Systems (Instructor, 29 students)
Introduction to traditional power grids as well as renewable electric power systems. This course covers long-distance transmission of electric power with emphasis on admittance and impedance modeling of components and systems, complex power-flow studies, symmetrical and unsymmetrical fault calculations, economic operation of large-scale generation and transmission systems, an overview of emerging renewable energy technologies (e.g. wind and solar) and the impact of grid integration of renewable energy on power grids.
Obtained an overall evaluation (90% response rate) as instructor of 4.78/5.
Assistant Professor (Jan. 2025 - present)
University of Michigan - Dearborn, MI, USA
Research Investigator & Adjunct Lecturer (Sept. 2023 - Dec. 2024)
University of Michigan - Dearborn, MI, USA
Research Fellow & Adjunct Lecturer (Jul 2022 - Aug. 2023)
University of Michigan - Dearborn, MI, USA
R&D Electrical Engineer (Jan. 2022 - July 2022)
GEPOC - Power Electronics and Control Research Group, Part Time, Santa Maria, RS, Brazil.
R&D Electrical Engineer (Apr. 2017 - July 2017)
National Institute for Space Research (INPE), Brazil, Full Time, Santa Maria, RS, Brazil.
Embedded Systems Automotive Engineer (July 2014 - Dec. 2016)
Bombaja UFSM Team, Volunteer Internship , Santa Maria, RS, Brazil.
Hardware and Software Engineer (Oct. 2015 - May 2016)
Research Group of Power Electronics and Control (GEPOC), Internship, Santa Maria, RS, Brazil.
Software and Security Engineer (June 2015 - Dec. 2015)
Defii – Melgarejo Digital Systems, Internship, Santa Maria, RS, Brazil.
Software and Hardware Developer (Sept. 2013 - Aug. 2015)
Brazilian National Institute for Space Research (INPE), Internship, Santa Maria, RS, Brazil.
Embedded Systems Engineer (Aug. 2011 - July 2013)
Power Electronics and Control Group (GSEC), Internship, Santa Maria, RS, Brazil.
Hardware and Software Deginer (Jan. 2010 - July 2010)
Stara S/A - Agricultural Machinery Industry, Internship, Não Me Toque, RS, Brazil
Ph.D. in Electrical Engineering: Energy Processing (Applied Control) , 2019-2021
Federal University of Santa Maria (UFSM), RS, Brazil - Power Electronics and Control Group (GEPOC)
Advisor: Dr. Hilton Abilio Grundling
MSc. in Electrical Engineering: Energy Processing (Applied Control), 2017-2019
Federal University of Santa Maria (UFSM), Brazil - Power Electronics and Control Group (GEPOC)
Advisor: Dr. Mário Lúcio da Silva Martins
BSc. in Electrical Engineering, 2011-2016
Federal University of Santa Maria (UFSM), Brazil