Projecten per jaar
Organisatieprofiel
Introductie / missie
The Information Systems (IS) group studies design, optimization and computer-aided decision support in operational processes within and between organizations.
Highlighted phrase
Create value through intelligent processing of business information
Over de organisatie
The Information Systems (IS) Group at Eindhoven University of Technology (TU/e) operates within the general area of business information systems. Our research focuses on the design, optimization and computer-aided support of operational processes within and between organizations through business process engineering. We study implications for information systems, information system design, governance and decision support. The research focus includes design methods, analysis tools, information system architectures, data mining and intelligent systems development using advanced prototypes. Our approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases.
Business organizations increasingly depend on their information systems to align internalorganization structures and deal with the complexity and changeability of markets. Up-to-date, complete and accurate information from big data has become a necessity to survive in an increasingly competitive world. As overseeing operations becomes too complicated for humans, business requirements related to information systems are growing exponentially. Rapid developments in information technology enable application types unimaginable a few years ago. Information systems are vital for the design and control of successful operational processes. Increasing complexity and dependence on information systems are driving significant changes across many sectors, from logistics, mobility services and hi-tech manufacturing to healthcare.
IS research concentrates on the following:
- Process modeling, architecture design and software management
- Optimal decision support and intelligent system design
- Balancing theoretical foundation and practical application
- Harmonizing demand-pull and technology-push developments in the field
- Business Process Engineering for Smart Mobility and HealthCare
The IS group studies implications for information system architectures and design, business process modeling, governance and decision support and distinguishes three research clusters: Business Engineering, Process Engineering and Business Intelligence. Application areas include hightech industry, logistics, mobility, healthcare, and services.
Business Engineering (BE) focuses on the investigation and development of new concepts, methods, and techniques for the development and implementation of innovative business solutions. This involves the support for the engineering of business models into business processes, organizational structures, architectures, and information systems, and connecting all aspects of digital transformation. It emphasizes on customer/user orientation and focuses not only on the technical design of new business solutions, but also on their strategic, governance, human and cultural dimensions.
Process Engineering (PE) is devoted to the investigation and development of new concepts, models, techniques, tools and application scenarios for the analysis and (re)design of operational business processes. Topic areas include data-driven engineering of business processes, human aspects of process engineering, decision support for business processes, process mining, mapping business models to business processes, mapping business processes onto system architectures.
Business Intelligence (BI) develops methods, techniques and tools for advanced analysis of business processes and optimal decision-making in their execution. Data mining, text mining, process mining, machine learning and computational intelligence methods are applied for building consistent models that make use of different modalities of data from multiple sources. These approaches can be used to design and improve information system for developing intelligent decision support with which organizations can fulfil their goals of operational excellence and improved decision making.
Vingerafdruk
Netwerk
Profielen
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Alexia Athanasopoulou
- Department of Industrial Engineering & Innovation Science, Information Systems IE&IS - Universitair Docent
Persoon: UD : Universitair Docent
projecten
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873087-SHOP4CF Smart Human Oriented Platform for Connected Factories
Vanderfeesten, I. T. P., Vanderfeesten, I. T. P., Grefen, P. W. P. J., Traganos, K., Domagala-Schmidt, Z. & Labres Mallmann, G.
1/01/20 → 31/12/23
Project: Onderzoek direct
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Improved Traceability of Parts and Products
Dijkman, R. M., Dijkman, R. M. & Eryilmaz, U.
1/10/18 → 31/05/21
Project: Onderzoek direct
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Gamification for Overweight prevention and Active Lifestyle (GOAL)
Van Gorp, P., Van Gorp, P., Kaymak, U. & Nuijten, R. C. Y.
1/02/18 → 31/01/21
Project: Onderzoek direct
Onderzoeksoutput
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Acceptance of AI for delegating emotional intelligence: Results from an experiment
Leyer, M., Aysolmaz, B. & Iren, D., 5 jan 2021, Proceedings of the 54th Hawaii International Conference on System Sciences. blz. 6307-6316 10 blz.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand -
An Experimental and Computational Protocol to Study Cell Proliferation in Human Acute Myeloid Leukemia Xenografts
Vlachou, T., Nobile, M. S., Ronchini, C., Besozzi, D. & Pelicci, P. G., 2021, Leukemia Stem Cells: Methods and Protocols. Cobaleda, C. & Sánchez-García, I. (redactie). Springer, blz. 241-258 18 blz. (Methods in Molecular Biology; vol. 2185).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic › peer review
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Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts
Reijnen, R., Zhang, Y., Nuijten, W. P. M., Senaras, C. & Goldak-Altgassen, M., 5 jan 2021, 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020). IEEE Press, blz. 2647-2654Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand
Datasets
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Business protocol adaptors for flexible chain formation and enactment
Seguel Pérez, R. E. (Ontwerper), Technische Universiteit Eindhoven, 2012
DOI: https://doi.org/10.4121/uuid:c0d66060-4d6c-431d-9a10-567fe63b1bc8
Dataset
Prijzen
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2nd prize in The Executable Paper Grand Challenge
Van Gorp, Pieter (Ontvanger), 2011
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Annual PhD thesis prize "Ing. Salvatore Valenti"
Genga, Laura (Ontvanger), 2017
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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Best Demo Award
Dijkman, Remco M. (Ontvanger), 2019
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Activiteiten
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International Conference on Business Process Management (BPM 2021) (Evenement)
Irene T.P. Vanderfeesten (Lid redactieraad)
mrt 2021 → apr 2021Activiteit: Types publicaties van collegiale toetsing en redactioneel werk › Publicatie peer-review › Wetenschappelijk
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22nd International Conference on Business Process Modeling, Development and Support (BPMDS 2021) (Evenement)
Irene T.P. Vanderfeesten (Lid redactieraad)
mrt 2021 → apr 2021Activiteit: Types publicaties van collegiale toetsing en redactioneel werk › Publicatie peer-review › Wetenschappelijk
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BNVKI (Externe organisatie)
Emil Rijcken (Voorzitter)
1 jan 2021Activiteit: Types lidmaatschap › Lidmaatschap van bestuur › Wetenschappelijk
Knipsels
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Neural network helps explain relapses of heart failure patients
11/08/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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-Eindhoven University of Technology: New neural network helps doctors explain relapses of heart failure patients
10/08/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Eindhoven University of Technology: New Neural Network Helps Doctors Explain Relapses of Heart Failure Patients
8/08/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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Accelerating the process of pricing automotive options
Auteur: Bakermans, M., 29 mei 2020Begeleider: Dabadghao, S. S. (Afstudeerdocent 1), Türetken, O. (Afstudeerdocent 2) & Mutlu, N. R. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Accurate response to fluctuating demand with regard to promotions in the online retailing industry
Auteur: Kiemeneij, N., 31 jan 2018Begeleider: Atan, Z. (Afstudeerdocent 1), Mutlu, N. (Afstudeerdocent 2) & Firat, M. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
Achieving more accurate truck warning lights by descriptive and predictive analytics
Auteur: van de Donk, W., 31 mei 2019Begeleider: Zhang, Y. (Afstudeerdocent 1), Kaymak, U. (Afstudeerdocent 2) & Zervanou, K. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand