Optimization | AI | Energy & Mobility Systems
I design optimization-driven and AI-powered systems for electrified transportation.
Focus: EV fleets, smart charging, and grid-integrated mobility.
Approach: combine optimization, machine learning, and system modeling.
Goal: build solutions that are robust, scalable, and deployable.
- Electric fleet optimization
- Decision-making under uncertainty
- Smart charging and V2G
- Hybrid physics + ML models
- Mobility and energy system integration
15+ publications in energy and mobility systems
👉 https://scholar.google.com/citations?user=IJKz2_gAAAAJ&hl=pt-PT
⚡ Electric Bus Smart Charging Platform
👉 https://github.com/jmanzolli/SMaRTE-electric-bus-smart-charging-platform
End-to-end platform for planning and operating electric bus fleets.
Core components:
- smart charging and load management
- peak shaving and cost optimization
- grid-aware fleet coordination
Focus: operational deployment of optimization-driven energy management.
🔋 Battery Degradation & Optimization
👉 https://github.com/jmanzolli/Electric-Bus-Battery-Degradation-and-Optimization
Modeling battery behavior for lifecycle-aware decision-making.
Core components:
- degradation-aware optimization
- hybrid physics + machine learning models
- cost and lifetime trade-off analysis
Focus: integrating battery health into operational optimization.
🌐 EV Charging Grid Simulator
👉 https://github.com/jmanzolli/EV-Charging-Grid-Simulator
Simulation framework for EV-grid interaction at system scale.
Core components:
- charging demand modeling
- infrastructure stress and load analysis
- coupling with optimization models
Focus: understanding system constraints under large-scale electrification.
⚡ Energy Surplus Retrieval
👉 https://github.com/jmanzolli/energy-surplus-retrieval
Optimization of distributed energy utilization and balancing.
Core components:
- surplus detection and allocation
- energy balancing strategies
- efficiency improvement mechanisms
Focus: maximizing utilization of available energy resources.
Background & Experience
Education
- PhD, Sustainable Energy Systems, University of Coimbra
- MSc, Energy for Sustainability
- BSc, Electrical Engineering, Unicamp
- Exchange, Technical University of Munich
Experience
- Postdoc, McGill University (IMaTS)
- Researcher, INESC Coimbra
- Engineer, IAV (Germany)
Highlights
- SYLFF Fellow
- MIT Innovation Workshop
- EDP Challenge Finalist