Who we are
The MaaSlab is one of the leading research teams on new mobility services gathering cutting edge innovative knowledge and insights for use in mobility services design, transport planning, and policy. Researchers from different disciplines, such as transport modelling, data and computer sciences, mathematics, and economics merge their powers to deliver cutting edge research regarding the technology, the data, the business models and the demand management needed for the digital era in the transport sector.
Maria is the Head of MaaSLab. She is an expert in the MaaS concept. Her work mainly focuses on MaaS product design and pricing, demand and supply analysis, and business models. She has extensive experience in consumer choice modelling, big data handling, survey design and transport modeling. She is a Lecturer in Transport & Energy at UCL Energy Institute.
Melinda's expertise focuses on analysing and modelling the demand for Mobility as a Service. She works on big data and GPS traces analysis, and smartphone based travel survey tools connecting and exploiting open API information. She has a background in economics and is currently a Doctoral Researcher at UCL Energy Institute.
Weibo's expertise focuses on modelling transport mode choice behaviour using big data, forecasting transport demand and developing urban mobility solutions. He has plentiful research experience in big data handling, fusions and analysis. He is a Doctoral Researcher at UCL Energy Institute.
Kuba's expertise focuses on modelling demand for transport. His work centres around big data, new mobility services and sustainable transport. He has a background in economics and planning and is currently a Doctoral Researcher at UCL Energy Institute
Transport Operations Modeller
Lampros' expertise focuses on modelling, developing and assessing MaaS operations and the complex interdependent MaaS demand and supply dynamics. He works on simulation-based modelling, optimization and integration of supply and demand for intelligent mobility systems. He has a background in transportation engineering and operations research and is currently a Doctoral Researcher in UCL Energy Institute.
Weijian’s expertise focuses on analysing travel behaviour developments and forecasting travel demand based on new mobility services. He has a background in transportation modelling and big data analysis and is currently a Doctoral Researcher at UCL Energy Institute.
Sridhar is a software developer. He has extensive experience in the urban mobility domain building mobility-related apps and handling big data. He has a software engineering background having worked in the industry for more than 12 years. He is a Research Assistant at UCL Energy Institute.
Dimitris is a data scientist. His areas of expertise are big data handling and storing, cloud computing architectures, open data architectures and platforms, machine learning and open source entrepreneurship. He is a Research Assistant at UCL Energy Institute.
Energy Demand Modeller
Andreas is Professor of Energy and Transport, Director of Research at the Bartlett School of Environment, Energy and Resources, and a Visiting Professor at Stanford University. He is an expert in energy demand for transport.
Transport Policy Analyst
Anne’s research centres around public policy development and standardization of implementation of new mobility services. Her background is in program management and functional solution architecture design for public transport technologies, working in the industry for over 15 years. She is a Doctoral Researcher at UCL Energy Institute.
Ricky's work focuses on preparing cities for initiating Mobility as a Service schemes by exploring several aspects such as data openness, transport operators openness, infrastructure integration and citizens' openness to new mobility concepts. He has a background in Geography and Economics and Policy of Energy and the Environment.
Katerina's expertise focuses on transportation engineering, urban and regional planning and development, transportation planning, design and construction of road pavements. She has a background on Matlab software modeling and is currently an Erasmus+ placement student in Maaslab.
Rita’s expertise focuses on management engineering. For her MSc dissertation she works on forecasting bike travel demand and developing an optimization model for free floating bike relocation operations. She has a background in operations research and logistics and is currently a MSc student in Maaslab.