A. Meshkat (Amir), MSc
Traffic Network Management: Road traffic management is applied worldwide in order to reduce the adverse effects of road traffic. The measures applied, such as traffic signals and ramp metering, are still mostly local, whereas the problems they address, most notably the congestion problem, are network related. Therefore, currently, the big challenge in road traffic management is to manage traffic at the network level, and not just purely locally.
C. Tekinay (Cagri), MSc
My research focuses on developing a framework for supporting simulation based design of complex large-scale multi-actor systems. My main research interest is designing multi-perspective, multi-resolution models. The application domain of this research is on the design of railway systems.
Dipl.-Inf. T. Buttler (Tanja)
With my background in storytelling and computer supported collaborative work, I am particularly interested in how professionals in industry share their experiences and knowledge. My current research explores how to support professionals in sharing softer kinds of knowledge (e.g. why a long process went well or badly) through lessons learned between projects. For that purpose, I investigate how lessons learned are gathered today, and how this process can be improved.
Drs. D.W.F. van Krevelen (Rick)
My research interest is in applying Agent Technology in Business Games and Simulations. My research is about mapping and implementing supply chain management strategies onto multi-agent systems for distributed interactive micro-simulation. The goal is to evaluate and validate the link between business management strategies and operations in complex and interactive supply chain simulations for research and education purposes. Strategies and operations are made transparent and operationalised using using agent reasoning framework, allowing for clearer analysis of results of interactive simulations.
Farideh Heidari, MSc
Business process modeling is an important part of information systems design as well as of any business engineering or reengineering activity. Business process modeling techniques provide standard ways of presentation and communication between different stakeholders. A business process model is the externalization of the conceptualization of some parts of the object world that deal with those aspects that pertain to the way business transactions are carried out and supported by an information system. My research deals with an essential issue in this context namely, development of a framework, factors and metrics for understanding and measuring objectively the quality of business processes considering their goals and objectives. This objective raises three major issues, (a) the development of a quality evaluation framework that is intended to assist business process modellers and analysts to work in a systematic and generic manner when including quality factors in their BPM activities, (b) the identification of a set of key quality factors relevant to business processes and their concepts, and (c) the definition of the metrics that provide a means for objectively and quantitatively measuring quality of business processes and their concepts. My research is supervised by Professor Brazier as my promoter and Dr. van Langen as my daily supervisor.
Ir. M. Davarynejad (Mohsen), MSc
Ir. Shalini Kurapati
I have a bachelor in Mechanical Engineering from College of Engineering, Guindy, Chennai (India) and a Masters degree in Engineering and Policy Analysis from the Delft University of Technology. I'm currently pursuing my PhD research in the field of transportation and logistics. I'm studying the exciting and challenging field of global freight transportation networks, which are complex, interrelated, and comprising dynamic and ever-increasing stakeholders. Lack of awareness of the network interdependencies makes these networks vulnerable to dynamic events and disruptions, causing huge financial and operational losses and ripple effects along the network. My research focuses on exploring how shared situational awareness can be created to improve participative decision making in such complex intermodal transportation networks. My research utilizes serious games as both data collection and training tools to explore and enhance the decision-making and behavior of stakeholders in transportation networks to tackle dynamic events and disruptions
Ir. T.A. Hennis (Thieme)
Traditional learning environments often are centered around the teacher. Young and adolescent learners often do not have the same interests and ideas as the teachers, who have to deliver content (transmit knowledge) according what is established in formal rules and curricula. This can lead to disengagement from learning, and sometimes dropping out altogether. Re-engagement of learners is a complex and multi-faceted issue. In our research we deal with disengaged learners and try to get them back on track through involvement in the learning process: they are in control about the content, the process, and the environment (with whom they would like to work). This radically changes the role of the teacher, from a directive or authoritative figure to someone who has to listen and facilitate learning, even concerning topics he or she has never heard of. By expanding the learning environment using digital technology and the Internet, we are able to support teachers and learners becoming more pro-active, meanwhile developing skills in research skills, creativity, entrepreneurship, collaboration, communication, and information literacy. We are developing methodologies and frameworks that helps teachers design more participatory learning environments using the Internet and other technologies available.
Ir. Yubin Wang
I have a background in system and control engineering, and in traffic engineering. My research is in the field of traffic control. For online traffic control, there is a need for predictions of traffic flow during a short horizon to evaluate the impact of different scenarios. Fast computation is crucial for a on-line simulation model. My research topic is On-line distributed simulation for a large-scale traffic network. The main research goal is to investigate a novel approach for a distributed computation in order to simulate a large-scale traffic network in a more efficient way.
J. Janeiro (Jordan), MSc
My research focuses on providing flexible computer-mediated support in collaborative problem-solving processes. The goal of my research is to identify and define profiles of interaction support in such processes and implement them as means of flexibility in groupware. I currently use collaborative diagnosis processes in preventive maintenance as a reference scenario. I am currently assigned in the Smart Vortex project.
K.P. Clark (Kassidy), MSc
My current research focuses on building reliable, scalable frameworks for distributed resource negotiation. This includes designing robust, extensible protocols to describe, negotiate and monitor Service Level Agreements (SLA) in highly dynamic, distributed environments. One challenge of this research is designing frameworks that incorporate the concepts of trust and risk. For instance, is it possible to build trust between actors operating in an untrusted environment? Furthermore, how should interaction between actors adapt to reflect the fluctuating level of risk?
'I am part of the networks and the networks are part of me...I link, therefore I am.'1.[i] In today's networked society, our ‘electronicaly and digitally enhanced bodies’ are often present at one location and ‘meet’ simultaneously with others at several other locations, temporalities and social settings. This project contributes to the foundations of the design of trust, from the perspective of experience, both in private and public spaces, physical and virtual. ‘Tele_Trust’ focuses on exploration of the sensory experience of visibility, presence, reciprocity, and trust in contemporary mediated society. The implications for design of embodiment in participatory systems is core to this project. The research questions address (1) design for perception and experience of trust, (2) design of the experience of physical closeness in mediated realities , (3) design of situational awareness in public and private spaces. Research through art practice includes the design of a series of experimental ‘social labs’ as ‘meeting places’. These ‘social labs’ are designed on the basis of artistic and scientific analysis, created as artistic work, and presented in smart public spaces in different geo-political contexts and socio- cultural domains. The public will be invited to participate and reflect as co-researchers on their experience of important concepts related to embodiment and trust (e.g. ’presence’, ‘identity’, and ‘community’). The methodology of reflective witnessing will provide a source of information for analysis, synthesis and understanding of embodiment and intersubjective engagement in participatory networked systems.
In ‘Tele_Trust’ new insights, innovative technologies, and the human body meet to initiate and inspire new types of intersubjective engagement.
[i] William J. Mitchell, ME++: The Cyborg Self and the Networked City, 2004.
Email: Lipika Bansal
Home page: http://www.pollinize.org
My research is part of a practice based PhD at the Technical University of Delft at the Participatory Systems Initiative in collaboration with Ankur, Society for Alternatives in Education in New Delhi.
In complex communities of systems, networks play an important role. However connecting them is a challenge. This research explores how technology can be designed to facilitate a context where trust can emerge. The main question is: How can technology be designed to empower individuals in interaction with each other, in and between existing systems? The aim of this research is to identify design challenges and opportunities for technology based community communication services for residents of Indian urban slums. The research will be based on ethnographic field research done in an urban slum of New Delhi, India. The research is conducted with creative research methodologies, such as storytelling- and writing, in which adolescents are actively involved in the research and design process. It can be identified as a participatory bottom-up exploration.
My research interest is on how to delineate the participation experience individuals have at moments in their social lives when being spatially distributed. Instead of focusing on the interaction itself, I pay more attention to how the rules that implicitly define the situation shape the individual performances and meanings generated within it. Fundamental to this research are the voluntary and involuntary movements, actions, negotiations and the degree of attachment experienced in the situations that occur in the intersections of physical and mediated networks in day-to-day interactions. I attempt to develop a new epistemology that will assist the design of innovative participatory strategies. This research challenges the bridging of different domains.
M. Zhang (Mingxin), MSc.
My research focus on how to develop a large-scale multi-agent simulation based decision support system. Currently I am trying an attempt to build a PRS(Procedural reasoning system)-based reasoning agent model using the DEVS framework and show how the DEVS-based reasoning agent model is extensible and can serve as a component in large-scale multi-agent system simulation. After that I will also build a distributed simulation platform for LMS(large-scale multi-agent simulation) to improve the simulation performance. The final objective is to find how will the LMS results be a support to decision making together with cognitive agents.
Marco Wilde Dipl. Ing. MST (Micro System Technology)
Complex systems engineering in large international organizations is more and more dependent on efficient and well-functioning collaborative ecosystems. The design and operation of such an asset is seen as an important challenge and therefore it is currently discussed from a multi-disciplinary perspective. In my research I focus on the individual’s appraisal of such an ecosystem and respective coping mechanisms. Understanding motivational implications and emotional coping helps to design and influence collaboration ecosystems according the needs of actors and organizations. The research is done is close cooperation with industrial partners.
Qingzhi Liu, MSc
My main research focus is on adaptation in large scale sensor networks, in particular self-adaptive and self-organizing wireless sensor networks. My Research is funded by the SHINE (Sensing Heterogeneous Information Network Environment) project. SHINE is the flagship project of DIRECT (Delft Institute for Research on ICT at Delft University of Technology). The aim of the project is to gather and process data from sensor technology, social media and smartphones for answering heterogeneous information needs. My other research topic is Wireless Power Transfer Networks, which aims to harvest the radio frequency energy from specific charging networks and wireless networks for the power supply of mobile wireless devices. Adaptation also plays an important role here.
Seyed Alireza Rezaee, MSc
My intended research is about improving the performance of supply chains in complex environments. The research goal is to introduce a framework for designing and implementing multi agent based supply chain management by conducting a multi disciplinary research in the fields of Multi Agent Systems, Systems Engineering and Management Science.
V. Dang (Vivian), MSc (external)
For a large companies, it is more important than ever to be able to decide how and when to offer training, and to fully understand the dynamics of offering training in the various disciplines. One area that has been difficult to align training to is the ever changing field of technology. Gartner's hype cycles offer an overview of relative maturity of technologies in certain domains. My main goal for this research is to develop and test a technology prediction model for technical training courses for the Boeing Company to use, and to base this on mathematical modeling and a solid statistical analysis of training course development and technology adoption within Boeing.
Xu Xie, MSc
My research focuses on large-scale Agent-based simulation. In many complex systems, such as social system, economic system, Agent-based modeling is an inescapable and also efficient way to model the system and the model is definitely large scale. If we want to conduct what-if analysis and study dynamic properties of the system, we must conduct simulation on the model. My main work now is to find ways to implement and improve this relatively new simulation method, so that it can be a more general, faster and more user-friendly modeling and simulation paradigm for complex system modeling and simulation.
Y. (Yakup) Koç, MSc
My current research focuses on robustness of intelligent power grids (SmartGrids) with a particular attention on cascading failures. In a power grid, the cascading failure phenomenon is related to both topological properties and flow dynamics. Accordingly, increasing the grid robustness requires real-time optimization of the grid topology as well as network flow. The objective of my research is designing a system to increase power grid robustness against cascading failures through dynamical network reconfigurations.