Secondments

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

Pages

2017-01-16–2017-02-03: 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:

In this visit we will investigate how process mining techniques can be applied to analyze SLA in real time situation. The main of the secondment is to combine the SLA & BPM-based monitoring platform for the andalusian regional government health care system and a process mining tool. 


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

2017-01-11–2017-03-11: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Claudio Di Ciccio

Researcher: Claudio Di Ciccio

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

The declarative modelling of business processes is based upon the specification of behavioural rules that constrain the work-flows enactment. It is meant not to explicitly specify every possible execution path from the beginning to the end: The carry-out of the process is up to the actors, who can vary the execution dynamics as long as they do not violate the constraints imposed by the declarative model. The constraints specify the conditions that require or forbid the execution of activities, either considering them singularly or depending on the occurrence of other ones. In contrast, classical imperative process models are intended to depict all allowed executions for a business process in a single comprehensive model, which encompass each stage of the process execution from the beginning to the end. Nevertheless, languages have been introduced that specify the behavioural relations which hold true within imperative process models. Behavioural relations mainly consist in mutual execution bindings between pairs of activities. The perspective of behavioural relations and declarative process model languages are thus conceptually overlapping. The aim of the cooperative research endeavour is thus to analyse their differences and similarities in terms of their expressive power, study to what extent they can be translated into one another, and what their interdependencies are, with the final objective to bridge the two viewpoints into a single framework. In our work, formal and practical aspects will be investigated.


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

2017-01-02–2017-02-03: Universidade Federal do Estado do Rio de Janeiro (UNIRIO) to Wirtschaftsuniversität Wien (WU)

Kate Revoredo

Researcher: Kate Revoredo

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

In this secondment, techniques for automatically elicitating process models through stories told by actors of a process will be applied to project mining. It is a continuation of the work started during the secondment of Saimir Bala to UNIRIO, where a first analysis of the application of story mining contributed with some pointers for researches. So, in this secondment the focus will be in the analyse of software development processes  from the perspective of the changes made to the files. For that the log will be analysed considering both strucutred and unstructured data and also the time dependency.


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

2016-12-12–2017-01-29: Wirtschaftsuniversität Wien (WU) to Queensland University of Technology (QUT)

Andreas Solti

Researcher: Andreas Solti

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

The relatively young research topic of process mining can benefit from other research disciplines, for example natural language processing (NLP). Semantic relationships between words are more and more understood in NLP, they can potentially be leveraged for process discovery tasks as well. The goal of the stay is to investigate this potential and to apply translational research from the domain of natural language processing to the domain of business process management.


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

2016-11-13–2016-11-26: Wirtschaftsuniversität Wien (WU) to University of Liechtenstein (UNI-LI)

Jan Mendling

Researcher: Jan Mendling

Researcher Category: Experienced researcher > 10 years
Website: http://www.wu.ac.at/infobiz/team/mendling/en/
Goal of the stay:

The goal of this research stay is to collaborate on a joint edited book on different case studies of Business Process Management, specifically in novel digital scenarios as envisioned by RISE-BPM. The editors Prof. vom Brocke and Prof. Mendling will discuss the selection and preparation of the candidate cases and the operational steps towards publishing the edited book.

https://www.uni.li/de/alle-veranstaltungen/@@event_detail/49511.67


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

2016-11-07–2016-12-08: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Alfonso E. Marquez-Chamorro

Researcher: Alfonso E. Marquez-Chamorro

Researcher Category: Experienced researcher
Website: https://www.lsi.us.es/personal/pagina_becario.php?id=28
Goal of the stay:

The goals of the secondment are framed in the context of the predictive monitoring of business processes. This is is one of the main issues in process mining and aims to provide proactive and corrective actions to improve process performance and mitigate risks. The main value of predictive monitoring of business process is to predict quantifiable metrics of a running process instance with the generation of predictive models. These metrics evaluate the performance of a business process in terms of efficiency and effectiveness, or help to evaluate risks or predict possible SLA violations. According to this context, a main work has been developed between the groups: evaluation of the influence of the process context information in the predictive monitoring of BP indicators in real time. Other two works were planned during this period: a qualitative comparison of the predictive rules achieved by two different approaches of the groups for the prediction of process indicators and a comparison among approaches for context discovery (data-driven and expert-driven).

 


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

2016-11-02–2016-12-02: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

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:

The goal of the secondment is to look at how contextual information about process instances and activities is causally related to process performance over time. For example, different schedules for different resources can have an influence on the waiting time for activities performed by those resources. This in term can affect the total duration of a process.

Causal relation discovery techniques are available in the time series field, and seem applicable to the field of process mining. In this secondment, the applicability of these techniques will be investigated, and a technique that discovers causal relations between process performance indicators will be developed.


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

2016-10-26–2016-12-02: Technische Universiteit Eindhoven (TU/e) to Queensland University of Technology (QUT)

Niek Tax

Researcher: Niek Tax

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/20143162/
Goal of the stay:

This visit took place from the 26th of October until the 2nd of December. The goal of the stay is to investigate applications of deep learning in the area of process mining. Deep learning, and specifically Recurrent Neural Networks, have shown impressive performance in other sequence-based analysis tasks such as in Natural Language Processing (NLP). We will investigate whether these techniques can be succesfully applied for prediction tasks in business processes.


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

2016-10-12–2016-12-19: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Antonio Manuel Gutierrez Fernandez

Researcher: Antonio Manuel Gutierrez Fernandez

Researcher Category: Early stage researcher
Website: http://www.isa.us.es/members/antoniomanuel.gutierrez
Goal of the stay:

The goal of the secondment is to find ways how to evaluate the accomplishment of the transparancy laws of governments by analyzing the legal document to automate it their application and analysis.


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

2016-10-05–2016-12-14: Westfälische Wilhelms-Universität Münster (WWU) to Queensland University of Technology (QUT)

Florian Plenter

Researcher: Florian Plenter

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

The goal of the stay is to analyze business models for peer-to-peer sharing and collobarative consumption services and the influence of smart devices as enablers for new business models and the respective business processes.

 

 


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

2016-10-01–2016-11-02: Universidad de Sevilla (USE) to Ulsan National Institute of Science and Technology (UNIST)

Carlos Müller

Researcher: Carlos Müller

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/members/carlos.muller
Goal of the stay:

Research Context

The present stay is part of the WP3: Real-Time Computing involved in the first phase of the RISE BPM Project. Specifically, the objectives of this WP are:

  • To analyse real-time computing concepts and technology for the low latency monitoring and control of business process.
  • Analysis of the influence of real-time computing on the four areas of BPM.
  • Investigation of the mechanisms enabling organisations to respond to changes in their processes efficiently and effectively.

Since our research group have been working hard in the recent months on an interesting SLA & BPM-based monitoring platform for the andalusian regional government health care system, the main goal of the secondment is to combine such a platform with the techniques applied by Minseok group to the Korean health care system or to the samsung company.

 

Work Plan

During the present stay, the following types of activities are planned:

  • Seminars. In this activities several interactive lectures to present specific works and provide a rich understanding of the details of those works.
  • Workshops. In this activity a joint discussion to breed innovative ideas
  • Meetings. In this activity a decision-making activity will be carried out about specific issues.

 

In order to sequence these activities a three-step phase decomposition is planned; to this respect, this decomposition represent an initial plan that should be evolved and adapted to the different timing constraints of the researchers that are members of the team at the University of Postech (Pohang) that are part of the RISE BPM Project (formerly Ulsan University).

Following, we outline each of the phases in the  work plan:

Phase I (Week 1 ):

In this phase a set of introductory seminars about the expertise at the University of Sevilla and Postech.

Phase II (Weeks 2 to 3):

In this phase a set of Workshops would be developed in order to build a list of potential collaboration activities and scenarios.

Phase III (Week 4):

This final phase involve the development of Meetings to outline the plan of future collaboration activities with a prioritization of goals.


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

2016-09-21–2016-10-23: Westfälische Wilhelms-Universität Münster (WWU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Nadine Ogonek

Researcher: Nadine Ogonek

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

The goal of the secondment is to find ways how to increase the transparancy of governments by analyzing their language that needs to be understood by citizens in order to be efficient. Another goal will be to work on the education of citizens in order for them to better understand govermental orders and documents.


Work package addressed: WP5: Analysis of Societal Impact Factors (Phase 1)

2016-09-20–2017-03-20: Ulsan National Institute of Science and Technology (UNIST) to Technische Universiteit Eindhoven (TU/e)

Minsu Cho

Researcher: Minsu Cho

Researcher Category: Early stage researcher
Website: http://aim.postech.ac.kr
Goal of the stay:

The goal of the secondment is to continue and improve works on healthcare process analyses with process mining. We will try to find a way how to combine existing knowledge from two organizations and develop more innovative works. Also, another goal of the stay is to investigate open issues for making a bridge between the big-data technology and process mining. 


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

2016-09-20–2016-11-18: Westfälische Wilhelms-Universität Münster (WWU) to Ulsan National Institute of Science and Technology (UNIST)

Moritz von Hoffen

Researcher: Moritz von Hoffen

Researcher Category: Experienced researcher
Website: http://erc.is/p/moritz.von.hoffen
Goal of the stay:

During my secondment at POSTECH university, I would like to pursue two different research endeavors. 

The first idea is to work on the application of sentiment analysis methods in the domain of the Sharing Economy. This research is closely related to WP1. In this context, I would like to conduct sentiment analysis on two different kinds of data provided from users of the Airbnb service. At first, tweets mentioning the hashtag #airbnb were collected over a duration of a couple of prior to my secondment. These tweets will be analyzed using techniques of Natural Language Processing (NLP) and sentiment analysis to derive insights regarding factors affecting service delivery in the Sharing Economy. Complementary to the analysis of tweets, reviews provided on the Airbnb website will also be analyzed. This serves the cause to investigate, whether the sentiments contained in tweets are in line with the ones mentioned in reviews.

The second idea that I would like to work on is the analysis of charging transaction data of electric vehicle’s charging transaction. Due to the real-time analytics and the involved smart charging stations, the WP2 and WP3 and possibly WP4 will benefit from this research. The enrichment of charging transaction data with contextual information, e.g. weather and POIs nearby, can be used to learn about charging behavior. In previous communication, the option of retrieving charging transaction data of the Korean-based PMGROW was discussed. Such a data set would allow for application of the different approaches for analytics and should yield interesting results.  


Work packages addressed: WP1: Technological Enablers – Social Media (Phase 1), WP3: Technological Enablers – Real-time Computing (Phase 1), WP4: Technological Enablers – Big Data Technology (Phase 1)

2016-09-17–2016-11-17: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Bedilia Estrada-Torres

Researcher: Bedilia Estrada-Torres

Researcher Category: Early stage researcher
Website: http://www.us.es/acerca/directorio/ppdi/personal_13052
Goal of the stay:

Knowledge Intensive Processes are unstrutured or ad-hoc processes that contain activities that typically involve or exchange a great amount of tacit knowledge in their execution and almost no rules about the subsequent activities are defined beforehand. This information, involved or exchanged, may provide valuable information about the performace of a process execution and may act as an indicator of it. The Process Performance Indicators (PPIs) are quantifiable measures that provide valuable insights about the performance of processes and the organizations where they are applied. These PPIs are usually applied to a tradicional structured business process.

The goal of this secondment is to identify how PPIs can be defined over KIP. In order to do this, two ontologies have been analysed: PPINOT, an ontology focused in the definition of PPIs over business processes, and Knowledge-Intensive Process Ontology (KIPO) that reflects the main aspects that characterize KIPs.


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

Pages