Secondments

RISE_BPM's Innovation and Staff Exchange will be documentend in terms of secondments. They will be presented and archived within this section. 

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2016-05-26–2016-06-24: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Universidad de Sevilla (USE)

Flavia Maria Santoro

Researcher: Flavia Maria Santoro

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/5377746284077362
Goal of the stay:

The main goal of this secondment is to analyze computing concepts to real-time monitoring and control of business processes. This goal is aligned with WP3: Technological Enablers – Real-time Computing (Phase 1). Specifically, a study on the discovery of relevant context information for modeling the business process will be done. The approach to be adopted will: propose and create mechanisms to support an organization to adapt and dynamic evolution of its processes, automatically or semi-automatically based on context information. This support is accomplished through the analysis of the current context and also the reasoning of the historical process of events in previous instances.

The other goal of this second is to identify potential interests and possibilities of integrating the research on BPM related to RISE-BPM of both groups.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2016-04-05–2016-05-05: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Sebastiaan Zelst, van

Researcher: Sebastiaan Zelst, van

Researcher Category: Early stage researcher
Website: http://www.win.tue.nl/~svzelst/
Goal of the stay:

Resource Network analysis in data intensive environments. Given the omnipresence of data, and, the high velocity at which data is produced within business processes, interesting questions arise such as: what resources are currently active? what resource is causing problems? What clusters of resources can we identify? etc. During the research visit we focus on discovering, visualizing analyzing such information, using a process mining focus. We investigate the intersection of existing (process mining based) social network analysis techniques, and, techniques aiming at handling huge amounts of (streaming) data.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-04-04–2016-05-04: Technische Universiteit Eindhoven (TU/e) to Ulsan National Institute of Science and Technology (UNIST)

Maikel van Eck

Researcher: Maikel van Eck

Researcher Category: Early stage researcher
Website: http://www.tue.nl/universiteit/faculteiten/wiskunde-informatica/de-faculteit/medewerkers/detail/ep/e/d/ep-uid/20080452/
Goal of the stay:

The aim of process mining is to provide fact-based insights into the execution of processes. An important aspect of this is the discovery of process models based on behaviour captured in event data. During this research visit we investigate the discovery of state-based process models in on-line settings with changing processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-03-21–2016-04-20: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Cristina Cabanillas

Researcher: Cristina Cabanillas

Researcher Category: Experienced researcher
Website: https://www.wu.ac.at/en/infobiz/
Goal of the stay:

The goal of this secondment is to apply results of the research on resource management in
business processes conducted at WU on real projects developed at Cupenya, which is
specialized in analysing process performance. In particular, the work consists of four tasks:
(i) assess the business processes, organizational models and resource assignment
requirements that Cupenya can provide and model them using RALph as resource
assignment notation; (ii) develop a RALph modeler suitable for real needs that will later be
integrated into Cupenya's analytics tool; (iii) develop an automated technique to analyze
the involvement of resources in the key performance indicators (KPIs) defined for a
business process; and (iv) analyze requirements for resource allocation during process
execution that will be useful for continuing the work in the direction of automatic resource
allocation and organizational planning. The idea is that both parties get benefit from this
secondment: Cupenya's current business process management software lacks support for
the resource perspective, so they could leverage a resource modeler and reasoning modules;
WU would use the real scenarios to validate research results as well as to extend existing
approaches for a broader application.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Armin Stein

Researcher: Armin Stein

Researcher Category: Managerial staff
Website: http://erc.is/p/armin.stein
Goal of the stay:

During this Managerial Stay, I would like to streamline the processes of project coordination and documentation with our Brazilian partners. This inlcudes parts of the preparation of the upcoming report. Furthermore, I would like to identify opportunities to create and increase the collaboration of the partners with UNIRIO in terms of education by offering, e.g., joint seminars. For this, feasible solutions should be discussed. Finally, I would like to discuss opportunities to include Brazilian partners into the ERCIS network, which forms the basis the RISE_BPM project.


Work packages addressed: WP5: Analysis of Societal Impact Factors (Phase 1), WP10: Project Management

2016-03-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Elena Gorbacheva

Researcher: Elena Gorbacheva

Researcher Category: Experienced researcher < 10 years
Website: https://www.wi.uni-muenster.de/department/groups/is/people/elena-gorbacheva
Goal of the stay:

The collaboration between WWU and UNIRIO was strengthened within the performed secondment via
(1) the development of a joint publication reporting on the case that took place at a large Brazilian insurance company, where BPM was adopted to solve contemporary organisational challenges; and
(2) exchange of experience in promotion of study opportunities for girls in the BPM field (the under-represented group), which motivated launching a respective intervention at UNIRIO (as part of the “Digital Girls” initiative).


Work packages addressed: WP4: Technological Enablers – Big Data Technology (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-07–2016-03-03: Wirtschaftsuniversität Wien (WU) to CUPENYA B.V. (CUP)

Andreas Solti

Researcher: Andreas Solti

Researcher Category: Experienced researcher
Website: http://www.wu.ac.at/infobiz/team/rogge-solti/en/
Goal of the stay:

Many organizations run their business processes without a centralized process orchestration engine. Instead organizations rely often on IT systems without process awareness, like ERP systems, CRM systems and issue tracking systems. Nevertheless, it is business processes that are executed and the goal is to be able to monitor these processes with performance indicators. If we are able to tap into the source of events that track ongoing work in the IT systems and connect them to the process models which describe the processes on a higher level, we enable monitoring and decision support on the process level. The goal of this work is to ease the painful manual task of wiring low level events from IT systems to the process model at hand by an automated matching algorithm that takes also nonstructured textual descriptions into account. By leveraging semantic technology, we expect to get a significant improvement over conventional matching using only structural information.


Work package addressed: WP1: Technological Enablers – Social Media (Phase 1)

2016-02-03–2016-04-06: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Friedrich Chasin

Researcher: Friedrich Chasin

Researcher Category: Early stage researcher
Website: http://erc.is/p/chasin
Goal of the stay:

The goal of the secondment is to analyze the processes and the structure of the businesses within the Sharing Economy that are part of the Sharing City Seoul Initiative. Sharing City Seoul is a governmental project that created partnerships with NGOs and private companies to make sharing an integral part of Seoul's economy. A particular goal is to understanding how smart devices are utilized by these sharing businesses in order to facilitate the sharing between individuals. Currently, several barriers exist, which limit the possible scenarios for exercising peer-to-peer sharing of various resources between individuals. An effective use of 'intelligent' devices is a potential solution for the emerged challenges and have high implications for the BPM within the domain of Sharing Economy of tomorrow. By analyzing the state of the art of the processes in the Sharing Economy businesses, it is our goal to be able to add knowledge to the body of research and provide implications for the emerging businesses in the practice. The aim of the project is therefore directly aligned with the goals defined in the WP2. Furthermore, given the nature of the Sharing Economy phenomenon, the project adds knowledge in regard to the societal impact factors in BPM to the outcome of the WP5.


Work packages addressed: WP2: Technological Enablers – Smart Devices (Phase 1), WP5: Analysis of Societal Impact Factors (Phase 1)

2016-02-01–2016-03-31: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Hendrik Scholta

Researcher: Hendrik Scholta

Researcher Category: Early stage researcher
Website: http://www.erc.is/p/hendrik.scholta
Goal of the stay:

Predictive e-government services are a concept for future governments to use available data, which may include sensor data, in order to increase their customers’ convenience and efficiency of processes. In the course of such services, governments predict life events of customers and make recommendations for governmental services that may be relevant to customers, e.g. the extension of a driver’s license when it is supposed to expire. The aim of this secondment is to investigate the suitability of predictive services to eliminate forms. Predictive services fundamentally change the way governments operate and thereby influence their processes. Therefore, this secondment makes a contribution to the analysis of prospects and challenges of entirely new smart e-government services, which affect BPM in governmental institutions.


Work package addressed: WP2: Technological Enablers – Smart Devices (Phase 1)

2015-12-02–2016-02-29: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Westfälische Wilhelms-Universität Münster (WWU)

Kate Revoredo

Researcher: Kate Revoredo

Researcher Category: Experienced researcher
Website: http://lattes.cnpq.br/0814717344017544
Goal of the stay:

Evaluate the benefits of contextual information to business process management. Contextual Information can be leveraged from social media or smart devices. Investigate how they can be obtained, extracted and then integrated to the business process aiming at improve it are the goals of this secondment and are aligned with WP01 and WP02.


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP2: Technological Enablers – Smart Devices (Phase 1)

2015-11-07–2015-12-10: Technische Universiteit Eindhoven (TU/e) to University of Liechtenstein (UNI-LI)

Bart Hompes

Researcher: Bart Hompes

Researcher Category: Early stage researcher
Website: https://www.tue.nl/en/university/departments/mathematics-and-computer-science/the-department/staff/detail/ep/e/d/ep-uid/20107238/
Goal of the stay:

In many domains, analysis of processes down to the level of process models is either too complex, meaningless or even unwanted. Often times, however, process owners carry or share liability for any issues in these processes. Process mining techniques can be used to automatically check key performance indicators and service level agreements (SLAs). For example, how to reduce cost and improve speed and reliability are important issues in today's healthcare processes. Due to the flexible nature of processes in the healthcare domain, the size and complexity of these data is increasing continuously. SLAs concerning cost and performance are commonplace in healthcare environments.

The idea is that we can improve processes(es) by learning from historical behavior. For example, we might find early signs of potential problems later on in the process. We want to find these anomalies and early predictors for SLA violations in the data in order to be able to gain insight into the process(es) at hand and in order to optimize the process as a whole.

The goal of this stay is to investigate which techniques exist concerning SLAs as to be able to develop a framework in which SLAs are centric in the performance analysis of business processes.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-26–2015-11-25: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Maikel Leemans

Researcher: Maikel Leemans

Researcher Category: Early stage researcher
Website: http://www.tue.nl/staff/m.leemans
Goal of the stay:

The overall aim of the exchange with QUT in the context of RISE_BPM is to make fundamental advancements in the area of analyzing Big Data event logs for the enhancement and improvement of (existing) process models. Hence, these fundamental advancements will contribute to the effective use of Big Data event logs during the analysis phase of the business process lifecycle; and can be positioned in the context of process mining.

The focus of the exchange with QUT is on process enhancement and improvement. Based on contact prior to the exchange, the challenge of process repair has been selected as a common topic of interest for both parties.
Key academic and technical challenges revolves around the question: how can we effectively and efficiently utilize large (big data) event logs and process models to analyze and repair deviations in said process models?
We believe that the above challenge calls on the joint expertise of both QUT and TU/e.

Objectives of the exchange project with QUT:
• Novel contribution to the area of process model enhancement and improvement. Ideally, the work should be captured in a scientific paper.
• Exchange of knowledge in the area of data science, and specifically, process mining.
• International experience.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-26–2015-11-25: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Xixi Lu

Researcher: Xixi Lu

Researcher Category: Early stage researcher
Website: https://www.tue.nl/universiteit/faculteiten/wiskunde-informatica/de-faculteit/medewerkers/detail/ep/e/d/ep-uid/20080623/
Goal of the stay:

Noise and deviance detection. In business process management, Big Data, which refers to rich and possibly unstructured data sources, creates new opportunities but also challenges in analyzing them. One of the challenges is how to clean these unstructured and noisy event data, which may manifest themselves as imperfect patterns, in preparation for conducting process analysis projects. Another interesting challenge is how to align these event data with normative process specifications, detect deviance, and check process compliance. The goal of this project is to further investigate these two problems and propose new approaches for detecting imperfect patterns and deviations that occur in event data. The focus is to efficiently align event data (observed behavior) with process specifications (normative behavior) in order to check process compliance and detect process deviations.


Work package addressed: WP4: Technological Enablers – Big Data Technology (Phase 1)

2015-10-21–2015-10-30: Ulsan National Institute of Science and Technology (UNIST) to Universidad de Sevilla (USE)

Changyong Lee

Researcher: Changyong Lee

Researcher Category: Experienced researcher > 10 years
Website: http://tmlab.unist.ac.kr
Goal of the stay:

The goal of this stay is to investigate open issues in real-time computing and BPM. Several topics related to real time computing such as resource management, SLAs/Commitments, predictions in the organizational domain, performance measurement, technology supporting big data analysis are discussed in this secondment. For example, for the technology support real-time computing, comparison of the performance between open-source platform and a commercial software (e.g. ParStream) could be one of the interesting topics. It is also interesting to create dashboards with mechanisms that helps the user to select the best graphs for it (maybe after analyzing the features of the data that is going to be represented using some kind of statistical analysis or similar). In this visit, we will elaborate each topic.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

2015-10-21–2015-10-30: Ulsan National Institute of Science and Technology (UNIST) to Universidad de Sevilla (USE)

Minseok Song

Researcher: Minseok Song

Researcher Category: Experienced researcher > 10 years
Website: http://mssong.postech.ac.kr
Goal of the stay:

The goal of this stay is to investigate open issues in real-time computing and BPM. Several topics related to real time computing such as resource management, SLAs/Commitments, predictions in the organizational domain, performance measurement, technology supporting big data analysis are discussed in this secondment. For example, for the technology support real-time computing, comparison of the performance between open-source platform and a commercial software (e.g. ParStream) could be one of the interesting topics. It is also interesting to create dashboards with mechanisms that helps the user to select the best graphs for it (maybe after analyzing the features of the data that is going to be represented using some kind of statistical analysis or similar). In this visit, we will elaborate each topic.


Work package addressed: WP3: Technological Enablers – Real-time Computing (Phase 1)

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