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ABOUT US

We are dedicated to revolutionizing fleet management with innovative, AI-powered solutions for sustainable transportation.


OUR PEOPLE

Meet the McGill team shaping the future of fleet electrification.

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Jônatas Manzolli

Jônatas Manzolli is a postdoc researcher at McGill with expertise in sustainable energy systems, optimization, electric mobility, and artificial intelligence.

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Luis Miranda-Moreno

Luis Miranda-Moreno is a Professor at McGill with over 15 years of experience in sustainable mobility and emerging transport technologies.

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Kaan Gun

Kaan Gun is a engineer with expertise in artificial intelligence, energy systems, and cybersecurity, with a a Master’s in Electrical Engineering at McGill University.

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Yanxin Li is a Master Student of Management in Analytics at McGill University (Desautels), with a background in finance and communications.

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Sarah Matmati

Sarah Matmati is a 4th-year Computer Science & AI student at McGill University, passionate about backend development, Java/Spring Boot, and data-driven systems.

OUR MISSION

Our mission at Nextdriv is to empower fleet operators to transition to sustainable, efficient, and future-ready transportation systems. By leveraging cutting-edge AI, optimization, and data-driven solutions, we aim to simplify fleet management while maximizing environmental and economic benefits. We are committed to driving innovation that reduces carbon footprints, enhances operational efficiency, and supports a greener, smarter future for all.

RESEARCH & DEVELOPMENT

Backed by years of research and peer-reviewed publications, we empower operators to achieve efficiency, cut costs, and reduce environmental impact.

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Optimizing Electric Bus Fleet Charging Using a Simulation-Based Energy Consumption Model
Journal: IEEE Access

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Electric bus coordinated charging strategy considering V2G and battery degradation
Journal: Energy

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Electric bus fleet charging management: An optimization framework addressing battery, time-of-use tariffs, and energy consumption
Journal: Applied Energy

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Optimization of an electric bus charging strategy considering a semi-empirical battery degradation model and weather conditions
Journal: IEEE Access

Ready to get started?

We deliver consulting and optimization for fleet owners to manage charging intelligently, lower operational costs, and extend battery lifespan.

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