Linda BELKESSA Modelling and Optimization of Shared E-micromobility Systems: Toward Sustainable Multimodal Transportation Networks

Her background
I graduated in 2023 from Ecole Nationale Supérieure d’Informatique d’Alger (Algeria) with an engineering and masteres degrees in computer science specialized in computer systems. 
As a dedicated computer science student, I've honed my expertise in AI, optimization, and software engineering through a series of diverse projects. My experiences have ranged from crafting intelligent algorithms to optimizing complex systems, all while maintaining a professional standard of excellence. Notably, my graduation project was situated within an industrial context, allowing me to seamlessly integrate theoretical knowledge with real-world applications. This endeavor enhanced my adaptability and problem-solving abilities, qualities essential in navigating the intricacies of professional environments. Each project has served as a platform for exploration, blending academic rigor with practical insights. As I reflect on my journey, I am driven by a steadfast commitment to innovation and continual learning. As a computer science professional, I am positioned to contribute meaningfully to the evolving landscape of technology and industry.

Key facts

  • Researcher spirit with an engineer’s efficiency 
  • Centers of interest are artificial intelligence, agent-based modelling and simulation, optimization, transportation networks and software engineering
  • Strong communication and teamwork abilities


Summary of her thesis 
In my thesis, I explore the rise of shared e-micromobility services as transformative solutions for urban transportation. These platforms, including e-pedelecs, e-scooters, and e-mopeds, address first-and-last-mile needs and alleviate congestion in city centers like Paris and Sydney. Despite their potential, current research lacks a comprehensive understanding of their impacts and interactions with existing transportation modes. Building on recent analyses, this study investigates operational strategies and regulatory frameworks to cultivate sustainable transport ecosystems. Key questions revolve around modeling, market design, and optimization of operations for competitive mixed-asset shared e-micromobility services, integrating novel approaches like agent-based modeling and artificial intelligence. Through this research, I aim to contribute to the advancement of greener, more efficient urban transportation systems.

What's next?
After the completion of my PhD, I eagerly anticipate utilizing the Clear Doc program to enhance my expertise. Balancing consultancy in Europe or academia, I seek to apply my interdisciplinary knowledge to address pressing engineering and social issues ahead.