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.
Dr. C.I.M. Nevejan (Caroline)
My research interest is focused on the design of presence and the design of trust in social interactions between people, in organizations and in larger social and political structures. I use methodologies from the social sciences as well as from the design discipline. Having a profound theoretical interest I find it a challenge to bridge knowledge, insight and skills between different domains. When 'making things happen' in a design process I am convinced this only works when the people involved contribute.
Dr. D. Cetinkaya (Deniz)
Deniz Cetinkaya is a Ph.D. student at Delft University of Technology. She is in the Systems Engineering Group of the Faculty of Technology, Policy and Management. Her research interests include Software Engineering, Modeling and Simulation, Model Driven Development, Conceptual Modeling and E-Government Applications. She received her M.Sc. in Computer Engineering from the Middle East Technical University, Turkey in 2005. She received her B.Sc. with honors in Computer Engineering from the Hacettepe University, Turkey in 2002. In 2009, she started her Ph.D research under the supervision of Prof.dr.ir. Alexander Verbraeck. Her current study focuses on MDD for Component Based Modeling and Simulation.
Dr. E. Ogston (Elth)
My research interests lie in the area of large-scale distributed systems. My work centres around the design of aggregation algorithms, and in particular decentralised algorithms that make use of dynamic, adaptive structures. Past and current topics I’ve studied in this area include clustering, sampling, summation/averaging, and consensus. My interest in aggregation stems from a curiosity about the relationship between architecture and intelligence in distributed management and control: the ways in which the quantity, accuracy and timeliness of available information impact the level of decision making responsibility that can be placed at particular locations in a distributed system.
Dr. E. Pournaras (Evangelos)
Decentralized computer networks appear in multidisciplinary domains of social, ecological and technological interest such as the Internet and the smart power grid. These networks are usually large-scale and complex computing environments formed by interactive autonomous agents that lack a generic, yet cost-effective, approach to manage. My PhD research focuses on the design and experimental study of collective synergies between the agents of decentralized networks that perform cooperative and competitive decisions to achieve their goals. The main research question is how these decisions meet the global application goals such as the minimization of power peaks to prevent black-outs. Two key components are studied for this purpose: (i) aggregation of information and (ii) organization of network interactions. Aggregation and organization can be the building blocks for self-managing networks and a driving force for handling the complexity of their applications.
Dr. Farideh Heidari
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.
Dr. H.K. Lukosch (Heide)
With my background in the social and media sciences, my main research focus lies on innovative systems to foster learning and training processes in organizations. I investigate how different media like films or serious games can be used for training and learning purposes and how they are able to influence situational awareness, communication and decision-making processes. I am also highly interested in the applicability of Microtraining in different organizations and on distinct topics like sustainable development.
Dr. ir. G.L. Kolfschoten (Gwendolyn)
I do research on collaboration between people in groups and teams. More specifically, I study collaboration support interventions; ways of structuring and focusing collaborative effort, and ways of creating commitment. She emphasizes on cognitive implications of these interventions (shared understanding, cognitive load, shared mental models, situational awareness, consensus, etc.) , and less on generic success indicators such as e.g. effectiveness or satisfaction. In this research I zoom in on the effects of interventions in the mind, and on group dynamics. The research is applicable in a variety of application domains, but will maintain a strong link to the key domains of the section such as engineering, logistics and safety/security.
Dr. Ir. J.P. van Staalduinen (Jan-Paul)
Dr. Ir. Mariëlle den Hengst-Bruggeling
Informed decisions, that's what I aim for. The use of information leads to informed, transparent decisions. The amount and availability of information is hardly an obstacle for this anymore. I focus on a diverse set of mechanisms that prohibit or advance informed decision making. Safety and Security is the application domain.
Dr. 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.
Dr. 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.
Dr. J. Barjis (Joseph)
My main research topics include enterprise engineering, systems engineering, information systems design, business process modeling and simulation, and conceptual modeling.
More information on Dr. Barjis can also be found on my personal website: www.JosephBarjis.com.
Dr. J. H. Appelman (Jaco)
Measuring, facilitating and designing change that is the main focus of my research in the fields of Safety&Security and Sustainability. Validation of Change of Practice theory that claims to predict if people are willing to adapt their routines to accommodate organizational or technology-induced changes.
Dr. J.L.M. Vrancken (Jos)
My research is in the field of Systems Engineering for Infrastructures. Most of my research deals with the roads and the datacommunications infrastructure. For the road infrastructure, my main research theme is the problem of network management for road traffic. For the datacommunications infrastructure, the main theme is the transition from the current Internet to more scalable solutions for global connectivity.
Dr. K.P. Clark (Kassidy)
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?
Dr. L.J. Kortmann (Rens)
Today's networked society offers great opportunities to all. However, this society also requires its members to adapt to new roles to participate in it. My research teaches individuals and organisations how to play their new roles through gaming and simulation. On the one hand, I study how games can make up participatory systems - systems that empower people and organisations to participate in a networked society. On the other hand, my research aims to find new methods to design these participatory systems through gaming and simulations. The development of intelligent games and simulations is regarded as a prerequisite for my aims. Therefore, the long-term aim is to develop a design methodology for a new generation of intelligent games that are grounded in the rules of participation in a networked society.
Dr. M.A. Oey (Michel)
My research focuses on complex socio-technological systems, in particular, large-scale, open, distributed systems, such as multi-agent systems. Main topics of interest include architectures, fault-tolerance, scalability, security in the field of simulations/emulations, self-management, automated SLA negotiations, and shared data spaces. I am one of the lead-designers of AgentScape, an open, distributed, scalable agent platform.
Dr. M.D. Seck (Mamadou)
I have a background in systems and information sciences, and in industrial engineering. My main interest is to apply modeling and simulation to the design and operation of complex socio-technical systems. These systems are characterized by rich theoretical diversity. Adopting a single theoretical perspective does not allow capturing the complexity of such systems and leads to simulation models with weak predictive power. Multi-perspective modelling is an approach in which multiple, non-isomorphic models of the same system are jointly used in a simulation to mutually complement predictions of one another. My main research goal is to investigate the system formalisms and the methodologies of multi-perspective modelling and simulation, and to apply them to relevant problems.
Dr. M.E.D. van den Bogaard (Maartje)
I am interested in facilitating change and innovation in knowledge intensive systems. Learners, trainers and managers share similar goals, but they often have different interests, ideas and motivations on how to get there. This makes it very difficult to design effective solutions. I combine social science research with modelling techniques to understand the dynamics of such systems and to find out what works and why. Currently I am involved in a project on student success: over the past years governments and universities have tried to improve student success, but none of the efforts for change had lasting effects. We focus on the questions why this is the case and on the conditions for real change in this area.
Dr. P. de Vries (Pieter)
My research domain is workplace and mobile learning with the focus on new strategies and concepts to improve human performance and improve the organizations' capacity for change and innovation. The main issues are: business scenarios for learning in the extended enterprise, learning value management, impact assessment, informal and autonomous learning and learning technology. To date I am involved in development and research projects with industries and higher education, including the service industry, automotive, do-it-yourself, energy and defense.
Dr. R. Haydarlou (Reza)
My main research focus lies on autonomic systems. I investigate how to use the general principles of Autonomic Computing to make the self-management of existing distributed software systems possible. My approach is use-case driven. As I use Semantic Web to represent various behaviours of a distributed software system and autonomic properties, I am also highly interested in the Semantic Web research area.
Dr. S. van Splunter (Sander)
With my background in artificial intelligence, my main research focus is to enable adaptation within dynamic complex systems. Systems are considered multi-layered, where each layer contains structures and processes, whose interactions results in complex behaviours. For designing for change, knowledge needs to be made explicit to support local adaptations. Integration of such knowledge in both structures and processes, and knowledge representations are key issues of my research.
Dr. Z. Genc, (Zulkuf)
Zulkuf Genc received a B.S. degree in Computer Engineering from Istanbul Technical University, Istanbul, Turkey, in 2003 and an M.Sc. degree in Electrical and Computer Engineering from Koc University, Istanbul, Turkey, in 2006. He worked on digital home and use of 60 GHz radio in home networks during his Ph.D. study between 2006 and 2011 in the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) of Delft University of Technology (TUDelft), Netherlands. He is currently working as postdoctoral researcher in the Systems Engineering and Simulation Section of the Technology, Policy and Management (TPM) Faculty in TUDelft. His research focuses on the application of multi-agent paradigm in understanding, design and evaluation of complex socio-technical systems.
Dr.-Ing. S.W. Werner Knoll (Stefan)
My current research focuses on technological support for collaboration in multinational organizations. For that purpose, I investigate how to collect, manage and share knowledge about collaboration, facilitate collaborative actions across distributed environments, and provide intuitive and adaptive technological support.
Dr.Ir. D. Datcu (Dragos)
My research interests focus on the perception of presence as well as context awareness in teams working jointly on complex problem solving in new interaction spaces such as augmented reality. In the considered interaction scenarios human expertise is often a scarce and expensive resource. The research ambition is to design novel augmented reality-driven solutions that enable participation among distributed. To establish such participatory systems, the foundations of merging realities need to be researched from a technical but also human experience perspective. To address current issues around presence, awareness and human experience in interaction spaces such as augmented reality I intend to apply affective computing technology for automatic emotion analysis. Recognizing emotions will help to adapt novel interaction spaces to the needs and dynamics of the participating users.
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.
Drs. W.S.J. Geerling (Wilfred)
Ir. M. Davarynejad (Mohsen), MSc
Ir. R. Poelman (Ronald)
With my background in the design and engineering sciences, my main research focus lies on innovative spatial-aware pervasive systems to fuse the advantages of virtual reality with physical reality. I investigate how human-computer interaction, computer vision and wearable computing can improve, situational awareness, communication and decision-making processes. It is my firm believe that we should not learn to understand a computer but that a computer should understand us.
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
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. My research focuses on design for empowerment. 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 self-organization 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 worker's settlements. I work together with adolescent co-researchers from workers' settlements, using creative research methodologies, such as (digital) 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. I have conducted research with young women on their relation with mobile phones. Next I involved youth to understand their relation with water. Finally I conducted research on Water & Health and organized water labs and design labs.
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. Sedighi (Mohammad), MSc.
Enterprise social networks (ESN) have been developed in large organization as a contemporary knowledge management system. As a main challenge, participation through ESN needs to be addressed by participants’ perceived benefits. In my research, I focus on the participants’ engaggement by exploring perceived benefits and costs in organizational networks. Exploring different perceived benefits and costs, which are promoted by ESNs’ prosperities, helps to design socio-technical incentive plans for participation. Moreover, the scope of my research is restricted to the resource-constrained environments.
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.
Prof. Dr. Ir. A. Verbraeck (Alexander)
My main research interests are distributed simulation, and simulation-based design, decision support and training environments, which can be used in a multitude of settings in industry and government. This research is the first step to what has been termed "Star Trek's holodeck" where realistic simulations of complex technical systems are seamlessly integrated with high-end virtual reality and augmented reality environments, enabling new forms of training, learning, and decision making in three-dimensional interaction spaces. Multiple stakeholders and users can interact in these spaces to support their business processes. The use of the DEVS formalism from the simulation field, the latest developments in the computer science and graphics world, and theories from social sciences will be combined in a unique toolkit that can be deployed in many different settings.
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.
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.