Campina Grande, Paraíba, Brasil
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🔬 I am a software engineer, researcher, and educator with a strong academic and industry…

Artículos de Mirko

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Licencias y certificaciones

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Experiencia de voluntariado

  • Gráfico Best Buddies International

    One-to-One Friendship

    Best Buddies International

    Servicios sociales

    Being able to participate in a one-to-one friendship with an adult with IDD and giving him the opportunity to be integrated into the community to reach their full potential and achieve their dreams. Also, permitting who are disabled to be involved in campus and community life at ONU.

Publicaciones

  • A Model-Based Architecture for Testing Cyber-Physical Systems

    Symposium on Applied Computing, 2014

    Understanding the human body dynamics in response to any medical treatment makes automated decision systems for healthcare quite complex. In this paper, we present an architecture for Medical Cyber-Physical Systems to help developers to generate test cases for their applications using models already validated. It is based on component models to simulate the operation of medical devices and patient data. Medical guidelines and a clinical database have been used together with statistical…

    Understanding the human body dynamics in response to any medical treatment makes automated decision systems for healthcare quite complex. In this paper, we present an architecture for Medical Cyber-Physical Systems to help developers to generate test cases for their applications using models already validated. It is based on component models to simulate the operation of medical devices and patient data. Medical guidelines and a clinical database have been used together with statistical techniques to create regression models that simulate vital signs. A controlled experiment of a clinical scenario has been developed to validate the proposed architecture components. The results of this study indicate that models for the healthcare domain are a promising alternative to test their applications.

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  • Using Survey and Weighted Functions to Generate Node Probability Tables for Bayesian Networks

    BRICS-CCI 2013

    Recently, Bayesian networks became a popular technique to represent knowledge about uncertain domains and have been successfully used for applications in various areas. Even though there are several cases of success and \emph{Bayesian} networks have been proved to be capable of representing uncertainty in many different domains, there are still two significant barriers to build large-scale Bayesian networks: building the Directed Acyclic Graph (DAG) and the Node Probability Tables (NPTs). In…

    Recently, Bayesian networks became a popular technique to represent knowledge about uncertain domains and have been successfully used for applications in various areas. Even though there are several cases of success and \emph{Bayesian} networks have been proved to be capable of representing uncertainty in many different domains, there are still two significant barriers to build large-scale Bayesian networks: building the Directed Acyclic Graph (DAG) and the Node Probability Tables (NPTs). In this paper, we focus on the second barrier and present a method that generates NPTs through weighted expressions generated using data collected from domain experts through a survey. Our method is limited to Bayesian networks composed only of ranked nodes. It consists of five steps: (i) define network's DAG, (ii) run the survey, (iii) order the NPTs' relationships given their relative magnitudes, (iv) generate weighted functions and (v) generate NPTs. The advantage of our method, comparing with existing ones that use weighted expressions to generate NPTs, is the ability to quickly collect data from domain experts located around the world. We describe one case in which the method was used for validation purposes and showed that this method requires less time from each domain expert than other existing methods.

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  • A Model to Detect Problems on Scrum-Based Software Development Projects

    The 28 th Annual ACM Symposium on Applied Computing

    There is a high rate of software development projects that fails. Whenever problems can be detected ahead of time, software development projects may have better chances of success, and therefore save money and time. In this paper, we present a probabilistic model to help ScrumMasters to
    apply Scrum in organizations. The model's goal is to provide information to the project's ScrumMaster to help him to be aware of the project's problems and have enough information to guide the team and…

    There is a high rate of software development projects that fails. Whenever problems can be detected ahead of time, software development projects may have better chances of success, and therefore save money and time. In this paper, we present a probabilistic model to help ScrumMasters to
    apply Scrum in organizations. The model's goal is to provide information to the project's ScrumMaster to help him to be aware of the project's problems and have enough information to guide the team and improve the project's chances of success. We published a survey to collect data for this study and validated the model by applying it to scenarios. The results obtained so far show that the model is promising.

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  • Thinks: Use your mind to dial your phone

    2011 IEEE International Conference on Consumer Electronics (ICCE)

    Integration between Brain Computer Interface and mobile devices allows the development of mobile applications for people with severe neuromuscular diseases. These applications can increase their quality of life. This paper presents a mobile application that enables disabled people to make a phone call to a desired on their phone's address book solely using their brain activity.

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Proyectos

  • SigHealth Platform

    - actualidad

    SigHealth is a platform for remote patient health monitoring and data management. It enables patient homecare by using wireless Personal Health Devices and seamless, automatic data synchronization with a safe and secure Internet server backend.

    The server provides information and services for health professionals, patient and family, allowing tracking health conditions and evolution. These services include alarms on critical situations, definition of targets to be achieved by patients,…

    SigHealth is a platform for remote patient health monitoring and data management. It enables patient homecare by using wireless Personal Health Devices and seamless, automatic data synchronization with a safe and secure Internet server backend.

    The server provides information and services for health professionals, patient and family, allowing tracking health conditions and evolution. These services include alarms on critical situations, definition of targets to be achieved by patients, and graphical visualization of patient information, among others.

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Idiomas

  • English

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  • Portuguese

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