Researcher on Human Centered Design at IRT SystemX and Assistant Professor at CentraleSupélec, she joined the Anthropolis chair in 2016 and is the chair holder since September 2022. Before, she was assistant professor at the Mechanical Systems Engineering Department of the Université de Technologie de Compiègne (UTC). She graduated in mechanical engineering design at the ENS Cachan (1993), and obtained a Master’s degree in industrial design from UTC in 1999. In 2012, she completed a PhD on the dimensions of eco-design practices towards education of engineering designers. She is a member of the French EcoSD (Eco-Conception de Systèmes Durables) network and of the Design Society. Her fields of interest are practices of eco-design and eco-innovation in industry and for education, human centered approaches in design and eco-design.
Yann Briand is responsible for the mobility and logistics domain at IRT SystemX. Fostering applied digital engineering, Yann takes part in the setting up and coordination of collaborative projects, at national and European level. Yann is involved in mobility challenges for more than 15 years, supporting industrials and academics in their innovation programs. Yann connects the chair’s prospective activities with IRT SystemX R&D projects. Yann Briand graduated from Ecole des Mines and Sciences Po.
Jakob Puchinger is professor in Supply Chain Management and Logistics. He joined EM Normandie in 2022. He is also affiliate professor at the Laboratoire Génie Industriel at CentraleSupélec, Université Paris-Saclay and co-director of the Future Cities Lab with Centrale Pékin. His main research interests are in logistics and urban mobility, disruptive technologies and the optimization of the underlying transport systems. Before joining EM Normandie, Jakob Puchinger was Anthropolis Chair Holder at IRT SystemX and CentraleSupélec for which he remains active as scientific advisor. Jakob Puchinger co-authored more than 80 scientific publications.
Julien Baltazar’s thesis deals with developing territorial environmental assessment for passenger mobility. He aims to create a diagnosis and simulation tool that would be useful to local authorities to design their mobility plans and projects. During a collaborative project within the EcoSD Network, he worked on electric vehicle performances considering long-distance trips. Julien Baltazar teaches engineering design, circular economy, and industrial ecology at CentraleSupélec.
Researcher and PhD candidate on Stochastic Optimization and Reinforcement Learning for the design of an on-demand mobility service by simulation at IRT SystemX and Laboratoire Genie Industriel. Tarek Chouaki obtained a Master’s degree in Artificial Intelligence from Sorbonne Université in 2019. His major fields of interest are Artificial Intelligence and Multi-Agent Systems.
Researcher and PhD candidate on Human-centred Scenarios for Urban Mobility Futures at IRT SystemX and Laboratoire Genie Industriel. Tjark obtained a MSc Urban Management and Development from IHS, Erasmus University Rotterdam in 2018, and a MSc Architecture with focus on Urban Design from the Technical University Braunschweig in 2019. His interest lies in participatory practices and the interface between data and design.
Researcher and PhD candidate on “Mobility as a Service: Concepts, governance and business models.” Mariana completed a degree in Architecture and a diploma in Urban Planning and Management of Metropolitan Mobility in Mexico. She joined the Chair in November 2020, after successfully completing a MSc in Urban Planning, Transportation and Mobility at the Ecole d’Urbanisme de Paris with the research topic of “Governance of Mobility as a Service and its effects on public transport systems”.
Researcher and PhD student at Laboratoire Génie Industriel and IRT SystemX in Université Paris-Saclay. Yue SU obtained a double-master degree in both Ecole Centrale de Lille and Southwest Jiaotong Université. Her PhD thesis is pickup and delivery problem with electric vehicles. Her research interests also include traffic network design optimization, and deep learning.