Dr. Emanuele Laurenzi
Dr. Emanuele Laurenzi
Activities at FHNW
- Lecturer at MSc in Business Information Systems, MSc Medical Informatics, BSc in Business Information Technology, BSc in International Management, CAS AI for Business Processes.
- Senior researcher at the competence center Intelligent Information Systems.
- Researcher in the fields of Enterprise Modelling, Semantic Meta-modelling, Knowledge Representation and Reasoning (subfield of AI)
- Teacher and coach in Business Process Management, Enterprise Application Integration, Business Process & Project Management, Information Management (Bachelor)
- Teacher and coach in Innovation in the Digital Age, International Field Trip, Manager’s Shadow Project, Digitalization of Business Processes (Master)
- Coaching and supervision of Master’s Thesis and Bachelor’s Thesis
- Founder of the FHNW ImpactLab
- Responsible of the FHNW OmiLab Node
- Coordinator of the Meetup BIS’n’Beer
Areas of expertise:
- Knowledge Engineering (Semantic Web, Ontologies, Knowledge Graphs, Knowledge Processing)
- Business Process Management
- Decision Logic Modelling and Process Logic Integration
- Business-IT Alignment
Teaching Activities:
Master of Science in Business Information Systems
- Innovation in the Digital Age
- International Field Trip
- Digitalization of Business Processes
- Manager’s Shadow Project
- Master’s Thesis
Bachelor of Science in Business Information Technology
- Business Process Management
- Enterprise Application Integration
Bachelor of Science in International Management
- Business Process & Project Management
- Information Management
Consulting Activities:
- Business Processes, Information Management, Knowledge Engineering
- Knowledge Representation and Reasoning
- Ontologies and Knowledge Graphs
- Enterprise Modelling
- Semantic Meta-modeling
- Domain-Specific Modelling Language
Ph.D. Project:
- AOAME: An Agile and Ontology-Aided Meta-modeling Environment
European Research Projects:
- CloudSocket - Business and IT-Cloud Alignment for Business Process as a Service (BPaaS)
- LearnPAd - Model-Based Social Learning for Public Administrations
Inno Suisse Projects:
- Patient-Radar
- SmartCoping
- Policy Modelling
- APPRIS - Integrated Early Warning System for Procurement using Semantic Technologies
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No peer reviewed content available
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Peer reviewedEgger, N. C., & Laurenzi, E. (2022). Value creation patterns for industry-relevant model-based cyber-physical systems. In L. Ferreira Pires, S. Hammoudi, & E. Seidewitz (Eds.), MODELSWARD 2022. 10th International Conference on Model-Driven Engineering and Software Development. Proceedings (Vol. 1, pp. 364–370). SciTePress. https://doi.org/10.5220/0010984400003119
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Peer reviewedPrater, R., & Laurenzi, E. (2022). A hybrid intelligent approach for the support of higher education students in literature discovery. In A. Martin, K. Hinkelmann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, & F. van Harmelen (Eds.), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022). https://doi.org/10.26041/fhnw-7307
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Peer reviewedSandhu, G., Kilburg, A., Martin, A., Pande, C., Witschel, H. F., Laurenzi, E., & Billing, E. (2022). Practice track: a learning tracker using digital biomarkers for autistic preschoolers. In K. Hinkelmann & A. Gerber (Eds.), Proceedings of the Society 5.0 Conference 2022 - Integrating digital world and real world to resolve challenges in business and society (pp. 219–230). https://doi.org/10.29007/m2jx
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Laurenzi, E., Hinkelmann, K., Montecchiari, D., & Goel, M. (2020). Agile visualization in design thinking. In R. Dornberger (Ed.), New trends in business information systems and technology (pp. 31–47). Springer. https://doi.org/10.1007/978-3-030-48332-6_3
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Peer reviewedHinkelmann, K., Laurenzi, E., Martin, A., Montecchiari, D., Spahic, M., & Thönssen, B. (2020). ArchiMEO: A standardized enterprise ontology based on the ArchiMate conceptual model. In S. Hammoudi, L. Ferreira Pires, & B. Selić (Eds.), Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development (Vol. 1, pp. 417–424). https://doi.org/10.5220/0009000204170424
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Witschel, H. F., Pande, C., Martin, A., Laurenzi, E., & Hinkelmann, K. (2020). Visualization of patterns for hybrid learning and reasoning with human involvement. In R. Dornberger (Ed.), New trends in business information systems and technology (pp. 193–204). Springer. https://doi.org/10.1007/978-3-030-48332-6_13
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Laurenzi, E. (2020). An agile and ontology-aided approach for domain-specific adaptations of modelling languages [University of Pretoria]. https://irf.fhnw.ch/handle/11654/42970
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Peer reviewedLaurenzi, E., Hinkelmann, K., Jüngling, S., Montecchiari, D., Pande, C., & Martin, A. (2019). Towards an assistive and pattern learning-driven process modeling approach. In A. Martin, K. Hinkelmann, A. Gerber, D. Lenat, F. van Harmelen, & P. Clark (Eds.), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019). https://doi.org/10.26041/fhnw-6431
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Peer reviewedLaurenzi, E., Hinkelmann, K., Izzo, S., Reimer, U., & van der Merwe, A. (2018). Towards an agile and ontology-aided modeling environment for DSML adaptation. Advanced Information Systems Engineering Workshops (CAiSE 2018), 222–234. https://doi.org/10.1007/978-3-319-92898-2_19
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Peer reviewedKritikos, K., Laurenzi, E., & Hinkelmann, K. (2018). Towards business-to-IT alignment in the cloud. In Z. Á. Mann & V. Stolz (Eds.), Advances in service-oriented and cloud computing. Workshops of ESOCC 2017, Oslo, Norway, September 27-29, 2017, revised selected papers (pp. 35–52). https://doi.org/10.1007/978-3-319-79090-9_3
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Peer reviewedLaurenzi, E., Hinkelmann, K., & van der Merwe, A. (2018). An agile and ontology-aided modeling environment. In R. A. Buchmann, D. Karagiannis, & M. Kirikova (Eds.), The Practice of Enterprise Modeling. 11th IFIP WG 8.1 Working Conference, PoEM 2018, Vienna, Austria, October 31-November 2, 2018, proceedings (pp. 221–237). Springer. https://doi.org/10.1007/978-3-030-02302-7_14
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Hinkelmann, K., Laurenzi, E., Martin, A., & Thönssen, B. (2018). Ontology-based metamodeling. In R. Dornberger (Ed.), Business information systems and technology 4.0. New trends in the age of digital change (pp. 177–194). Springer. https://doi.org/10.1007/978-3-319-74322-6_12
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Peer reviewedEmmenegger, S., Thönssen, B., Laurenzi, E., Martin, A., Zhang Sprenger, C., Hinkelmann, K., & Witschel, H. F. (2016). An Ontology-based and Case-based Reasoning supported Workplace Learning Approach. Communications in Computer and Information Science. http://hdl.handle.net/11654/24551
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Peer reviewedEmmenegger, S., Laurenzi, E., Thönssen, B., Zhang Sprenger, C., Hinkelmann, K., & Witschel, H. F. (2016). Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner. Proceedings of Special Session on Learning Modeling in Complex Organizations (LCMO) at MODELSWARD′16. https://doi.org/10.26041/fhnw-1012
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No peer reviewed content available
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Peer reviewedLaurenzi, E. (2022). AOAME 4 Society 5.0: Towards the creation and maintenance of knowledge graphs through enterprise modelling. Society 5.0 - Integrating digital world and real world to resolve challenges in business and society. https://irf.fhnw.ch/handle/11654/43264
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Peer reviewedKurjakovic, S., Lammel, B., Laurenzi, E., Woitsch, R., & Hinkelmann, K. (2016, November 2). A Semantically-Enhanced Modelling Environment for Business Process as a Service. 4th International Conference on Enterprise Systems. http://hdl.handle.net/11654/24288
Contact
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Dr. Emanuele Laurenzi
- Lecturer, MSc Business Information Systems
- Telephone
- +41 62 957 28 26 (direct)
- ZW1hbnVlbGUubGF1cmVuemlAZmhudy5jaA==
- FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Business
Riggenbachstrasse 16
CH – 4600 Olten