Coordinators of the Smart Connected Bike programme:
Prof. dr. Paul Havinga, full professor in the Computer Science department, Head of Pervasive Systems Group; Faculty of Electrical Engineering, Mathematics and Computer Science. Currently his research themes have focussed on: wireless sensor networks, Internet of Things, distributed networked systems, and energy-efficient wireless communication. The common theme in these areas is on the development of large-scale, heterogeneous, wireless, distributed systems. Research questions cover architectures, protocols, programming paradigms, algorithms, and applications. Personal page
Prof. dr. ing. Karst Geurs, full professor at the Transport Engineering and Management Group, Department of Civil Engineering, Faculty of Engineering, University of Twente. His research focuses on the interactions between land use, mobility and mobility innovations, transport policy and planning, dynamics in travel behaviour, accessibility analysis, societal impacts of transport (including traffic safety). Personal page
PhD researchers:
Mario Boot joined the Transport Engineering and Management Group at the University of Twente in March 2021. His PhD research focusses on user experience of emerging bike technology. I am fascinated by human-computer integration: collaboration between the bike, the cyclist, and other nearby actors. In my research, I will examine the design, implementation and evaluations of interfaces and applications which are crucial elements to safety and comfort in the cycling experience. Personal page
Deepak Yeleshetty joined the Pervasive Systems Group, department of Computer Science at the University of Twente in January 2021. Deepak’s research focuses on collaborative intelligence with secure data sharing in a smart connected-bike ecosystem. He will investigate the methods to gather reliable cycling insights from a network of smart-bikes, traffic infrastructure and other vehicles for the stakeholders involved in the ecosystem. He will use distributed learning methods such as Federated Learning and secure multi-party data computation to gain global insight from a group of bikes whilst maintaining riders’ data privacy. Personal page
Wo Meijer joined the at the Department of Industrial Design Engineering, Technical University Delft in April 2021. Before starting my PhD I worked as a bike designer on smart connected ebikes. The focus of my research is to look at Digital Twins as a material for the (co)design of new bikes and bike services systems. Digital Twins are a virtual representation that’s in sync with the physical “twin” of riders and their bikes. Digital Twins can capture and explore the interactions and context of a bike journey in much more detail, all in a way that’s easy to understand and perfect to share with other stakeholders such as bike designers, other users, and municipalities. Personal page
Georgios Kapousizis joined the Transport Engineering and Management Group at the University of Twente in September 2020. Georgios will focus his research on the traffic safety implications of Smart Connected Bikes. The main aim on my PhD research is to evaluate the impacts of smart connected bikes prototypes on traffic safety and user’s acceptance level. Georgios will examine the market potential of smart connected e-bikes and the user satisfaction, journey experience of cyclist assistance/control systems. Personal page
Akhil Reddy Pallamreddy joined the Pervasive Systems Group, department of Computer Science at the University of Twente in May 2021. My research explores learning various parameters by the connected intelligent bike through advanced digital technologies to improve road safety, reduce pollution, and developing sophisticated rider assistance systems. I will use Artificial Intelligence methodologies to make the bikes intelligent. Personal page
Khalil Ben Fredj joined the Pervasive Systems Group on August 2021 at the University of Twente. Khalil was graduated from the University of Paris Saclay where he worked on an internet of things project, reducing energy consumption of connected devices by using the most suitable wireless communications protocols. So his added value in this smart connected Bikes programm would be by investigating a reliable, robust and low cost communication mechanism that connects Bikes, pedestrians, cars and infrastructure.
Researchers and PhD supervisors:
Dr. Yanqiu Huang, assistant professor at the Pervasive Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science. Her particular interest is the interaction between communication, control, signal processing and network optimization, especially for resource constrained networks and systems. Personal page
Prof. dr. Gert Kortuem, Department of Industrial Design Engineering, Technical University Delft. My research focuses on the intersection of the Internet of Things and Design and explores data, algorithms, and smart materials as key building blocks for intelligent products and services in domains such as healthcare, wellbeing, smart cities, and sustainability. I am particularly interested in data-centric design approaches where (sensor and big) data is used to bootstrap creativity, ideation and evaluation of intelligent products and services. Personal page
Dr. Baran Ulak, assistant professor of smart mobility at the Transport Engineering and Management Group, Department of Civil Engineering, Faculty of Engineering, University of Twente. My research interest focus on transportation safety, accessibility, smart mobility, urban science, resilience, and disaster assessment. Personal page
Dr. Wouter Teeuw, lector Applied Data Science, Ambient Intelligence research group, Saxion University of Applied Science. In our Ambient Intelligence lab we develop smart applications related to safety and sports. We also investigate ways of providing people with feedback from measurements, to change their behaviour for example. Personal page
Dr. Jeroen Linssen, Associate lector Applied Data Science, Ambient Intelligence research group, Saxion University of Applied Science. His research interests are data science, artificial intelligence and human-computer interaction.
Iris Heerlien, researcher at the Ambient Intelligence research group, Saxion University of Applied Science. Her research in the Smart Connected Bike programme focuses on human computer interaction, and data science with a focus on machine learning. Personal page