Research

Main Research Interests and Significant Contributions to Research

Modeling, control, and optimization of dynamic systems;
Model-based control in advanced propulsion systems;
Energy management control and optimization in HEVs and PHEVs;
Energy storage systems- Li-ion and PbA batteries, Supercapacitors;
Battery aging modeling, state of health estimation, and life prediction for control;
Damage degradation modeling in interconnected systems;
Blockchain and Data-Driven Models for Energy Traceability and Management;
Electrochemical, Physics-Based, Hybrid, and Data-Driven Models, Physics-Informed and Purely Data-Driven Models for Prognosis and Performance Prediction;
Artificial Intelligence and Machine Learning in Power and Propulsion Systems;
Neural-Symbolic Computation and Next-Generation AI Models;
Neural Language Modeling for Natural Language Generation and Understanding;
Optimizing Energy Storage Systems with AI and Machine Learning.

Future-oriented Teaching Concept

My teaching concept is based on a student-centered approach, where I seek to engage students in active learning, using innovative methodologies such as project-based learning, collaborative learning, and gamification. I intend to integrate emerging technologies, such as artificial intelligence and augmented reality, to enrich the teaching experience. In addition, I value continuous assessment and constant feedback, allowing students to self-evaluate and improve throughout the course. Teaching will be interdisciplinary and focused on developing practical skills that prepare students for a constantly evolving job market, with a focus on sustainable solutions and social responsibility.

Leading Positions within University

Technical Responsible from THI side in tasks related to batteries and charging station integration - Project: iBattMan - EU Project
Technical Responsible - Project: PRIMA Batteries - German Project
Technical Responsible - Project: Predictive models for levelized cost of hydrogen from electrolysis in a grid-coupled and renewable energy system - ANP Funded. Project partner: Total Energies
Technical Responsible - Project: Blockchain platform for the digital passport of batteries and its respective contribution to unraveling aging mechanisms during the first life and its consequences in the second use - ANP Funded. Project partner: Total Energies
Coordinator of the technical course in Logistics at the Cristiano de Souza State School. Period: May 7, 2018 to July 26, 2018.
Coordinator of the technical course in Real Estate Transactions. Period: September 6, 2017 to December 31, 2017.

Leading Position outside University

Process coordinator - Cal Oeste Ltda (Industry) - Period: 2015-2016

HOW THE BLOCKCHAIN TECHNOLOGY CAN TO IMPACT THE BATTERY MARKET?

WHAT'S SECOND-LIFE BATTERIES?

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