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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2016-12-12–2017-01-29: 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)

2016-09-17–2016-09-30: Universidad de Sevilla (USE) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Adela del-Rio-Ortega

Researcher: Adela del-Rio-Ortega

Researcher Category: Experienced researcher
Website: http://www.isa.us.es/adela.delrio
Goal of the stay:

This is the second part of a one-month secondments split into two shorter stays, the first started in June 2016, the 28th and finished in July 2016, the 15th. The goals for this second period remain the same as the ones defined for the first one. I copy them below:

The goals of this secondment are framed into two contexts: Process model understandability and validation and Business Process-Oriented Knowledge Management (BPO-KM). In the following we introduce them and set the goals:

  1. Business process models are artifacts that can be used to support the understanding of how to obtain a service or product. However, the misunderstanding produced by “hard” process model notations prevents not only the understanding of the process, but also the implementation of appropriate tools to support them and the current practice of a service. One goal of this secondment is to build upon previous research results of the collaborating groups (from UNIRIO and USE) and other existing approaches to investigate possible mechanisms to automatically obtain highly understandable process models from existing BPMN models.
  2. Knowledge Management aims to promote the growth, communication and preservation of knowledge within an organization, which includes managing the appropriate resources to facilitate knowledge sharing and reuse. Business Process-Oriented Knowledge Management (BPO-KM) focuses on discovering and representing the dynamic conversion of existing knowledge among participants involved in executing business processes. In this context, Knowledge-Intensive Processes (KPIs) are a very important and challenging specific subclass of processes, since they strongly involve socialization and informal exchanges of knowledge among participants. BPO-KM aims at identifying, modeling, analyzing and refining KIPs. As part of this, the performance measurement of KIPs plays a key role for their holistic management and improvement. In this secondment we plan to investigate how existing approaches for the definition of process performance indicators can be adapted or extended to measure the performance of KIPs.

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

2016-09-15–2016-10-18: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Monika Malinova

Researcher: Monika Malinova

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

A process map is an abstract and visual overview of all business processes of an organization and the relations between them. It is considered as the level one of a process architecture and is intended to show how an organization operates without necessarily going into the process details. The main goal of this secondment is to empirically evaluate a visual language for designing process maps. During the secondment we will collaborate with an industry partner of UNIRIO, a Brazilian company situated in Rio de Janeiro, with the aim to design their process map using the newly developed language. In addition, we will apply Natural Language Processing techniques on process documentation provided to us by the company to analyze and discover patterns of appropriate labelling of processes seen on process maps.      

 


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

2016-08-30–2016-09-30: Wirtschaftsuniversität Wien (WU) to Universidade Federal do Estado do Rio de Janeiro (UNIRIO)

Saimir Bala

Researcher: Saimir Bala

Researcher Category: Early stage researcher
Website: https://www.wu.ac.at/en/infobiz/team/bala/en
Goal of the stay:

Software development projects often need to adhere to predefined guidelines or carried out according to a specific process. This is, for instance, when building software for human and data centric processes, which are subject to strict rules and regulations. However, normally the software development process is not managed by a process engine. To ease the burden of the monitoring or the retrospective analysis of its activities, an automated discovery of the software development process is required. The goal of this secondment is to research effective ways to discover clues of software development activities by analysing log data from Version Control Systems. Natural language processing (NLP) techniques will be used in order to classify user comments into specific activities of a software development process.

 


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

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