Francesco Alesiani
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    • Adaptive Width Neural Networks accepted at ICLR 2026
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    • On learning from inaccurate and incomplete traffic flow data
    • Reinforcement learning-based bus holding for high-frequency services
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    • A Scenario-Oriented Approach for Noise Detection on Traffic Flow Data
    • Drift3flow: Freeway-incident prediction using real-time learning
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    • 2014 Index IEEE Intelligent Transportation Systems Magazine Vol. 6
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    • Opportunistic solution-space reduction techniques for reducing the time complexity of dynamic speed control with microsimulation on motorways
    • Optimization of charging stops for fleet of electric vehicles: A genetic approach
    • Afshin Abdi, Qualcomm Milad Abolpour, University of Oulu Ibrahim Abou-Faycal, American University of Beirut Maria Abu-Sini, Technion
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    • Blind receiver for space-time differentially-encoded CDMA systems on multipath fading channels
    • Demonstrator 1 Negotiated Priority at Intersections: The Oslo Case Study
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    • Presented "Guidance of Diffusion-Based Conditional Generative Models for Antibody Design" at PriGM@EurIPS 2025
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    • Paper on DIMOS (PyTorch molecular dynamics framework) accepted in J. Chem. Phys.
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Locally growing rapid tree (LGRT) motion planning for autonomous driving

Jan 1, 2016·
Francesco Alesiani
,
Chairit Wuthishuwong
· 0 min read
Last updated on Jan 1, 2016
← Reliable bus dispatching times by coupling Monte Carlo evaluations with a Genetic Algorithm Jan 1, 2018
Remote testimony: How to trust an autonomous vehicle Jan 1, 2016 →

© 2026 Francesco Alesiani. This work is licensed under CC BY NC ND 4.0

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