Tomonori Honda

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User-centered approaches to design can guide teams towards an understanding of users and aid teams in better posing design problems. This paper investigates the role of user-centered design approaches in design process and outcome within the context of design team projects. The value of interaction with users is examined at several stages throughout the(More)
The design of large-scale engineering systems requires design teams to balance a complex set of considerations. Formal approaches for optimizing complex system design assume that designers behave in a rational, consistent manner. However, observation of design practice suggests that there are limits to the rationality of designer behavior. This paper(More)
During the formative stage of the design cycle, teams engage in a variety of tasks to arrive at a design, including selecting among design alternatives. A key notion in design alternative selection is that of "preference" in which a designer assigns priorities to a set of design choices. This paper presents a preliminary approach for extracting a projection(More)
As engineering systems grow in complexity, the teams that design them require increasingly disparate expertise and must operate in a distributed fashion. At the same time, the teams that design subsystems need to compete and compromise with each other for a limited set of resources. Thus, it becomes crucial to establish a system-level understanding of the(More)
As engineering systems grow in complexity, it becomes more challenging to achieve system-level designs that effectively balance the trade-offs among subsystems. Lewis and others have developed a well-known, traditional game-theoretic approach for formally modeling complex systems that can locate a Nash equilibrium design with a minimum of information(More)
Detection of fraud, waste, and abuse (FWA) is an important yet difficult problem. In this paper, we describe a system to detect suspicious activities in large healthcare claims datasets. Each healthcare dataset is viewed as a heterogeneous network of patients, doctors, pharmacies, and other entities. These networks can be large, with millions of patients,(More)
One of the key challenges of engineering complex systems is to rapidly explore the range of possible solutions. As systems become more complex, the time required to generate candidate solutions can take prohibitively long, forcing the engineer to make decisions based on poor or missing data. Genetic Algorithms are one method to help explore the design space(More)
One of the challenges in accurately applying metrics for life cycle assessment lies in accounting for both irreducible and inherent uncertainties in how a design will perform under real world conditions. This paper presents a preliminary study that compares two strategies, one simulation-based and one set-based, for propagating uncertainty in a system.(More)