Matheus Eduardo Leusin
Wissenschaftlicher Mitarbeiter (Doktorand)
Contact:
Max-von-Laue-Straße 1
28359 Bremen
Building WIWI 2, Room F 2120
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- Person
- Academic education and degrees
- Projects
- Workshops, Conferences and Summer Schools
- Publications
Person
Since November 01, 2018 Matheus Eduardo Leusin is a PhD candidate in the working group of Prof. Dr. Jutta Günther at the University of Bremen. His experience involves the analysis of Innovation Systems based on bibliometric and patent data and the use of modeling and simulation methods for prospective analysis. During his master's degree, completed in 2018, Matheus analyzed the diffusion of wind technology in Brazil using a Technological Innovation Systems approach. Based on this analysis, incentive policies for wind diffusion in Brazil were proposed, which were further evaluated through scenario analysis involving simulation. Matheus also worked as a guest researcher at the Bremer Institut für Produktion und Logistik GmbH (BIBA), conducting research on the development of Cyber-Physical Systems.
Academic education and degrees
Since 11/2018 | PhD candidate at the Chair for Economics of Innovation and Structural Change (Prof. Dr. Björn Jindra), Faculty for Business Studies & Economics, University of Bremen, Germany |
03/2016 – 03/2018 | Master in Industrial Engineering Federal University of Santa Catarina, Brazil Major area: Operations Management Title of thesis: “Analysis of Wind Technology Diffusion In Brazil” Degree: Master of Science |
07/2009 – 12/2014 | Bachelor in Industrial Engineering Federal University of Santa Maria, Brazil Degree: Bachelor of Science |
Projects
Since 11/2018 | Research Group “The Race for Technological Leadership in Artificial Intelligence - Global Trends, Regional Specialization, and Network Structures” Project leader: Prof. Dr. Jutta Günther Duration: 42 months Project start: 01.11.2018 |
03/2016 - 03/2018 | STIER2030 - Acceleration and Dynamization of Technological Innovation Systems in Renewable Energy in Brazil: Prospective study until 2030 Project leader: Prof. Dr. Mauricio Uriona Maldonado Duration: 24 months |
03/2017 - 11/2017 | Adaptive SBO - Adaptive simulation-based optimization for the programming of distributed production systems Project leader: Prof. Dr. Enzo Morosini Frazzon Duration: 8 months |
Workshops, Conferences and Summer Schools
2021 | |
---|---|
28/01 | 1st Diginomics conference – Bremen, Germany Presentation: An evolutionary view on the emergence of Artificial Intelligence |
19/01 | Workshop: The Economics and Management of AI Technologies Presentation: An evolutionary view on the emergence of Artificial Intelligence |
2020 | |
29/01 | Diginomics Brownbag Seminar – Bremen, Germany Presentation: The Race for Technological Leadership in Artificial Intelligence |
2019 | |
30/09 - 04/10 | Scientific Seminar "New Dimensions in the Economics of Innovation" – Thiessow, Germany Presentation: The diffusion of Artificial Intelligence: Preliminary findings |
28/09 | Artificial Intelligence – Between Panacea and Skynet – Bremen, Germany Presentation: Patenting Patterns in Artificial Intelligence: Identifying National and International Greenhouses |
03/06 - 05/06 | European Meeting on Applied Evolutionary Economics 2019 (EMAEE) - Falmer, Brighton, United Kingdom Presentation: The race for technological leadership in artificial intelligence |
22/05 | Diginomics Brownbag Seminar – Bremen, Germany Presentation: The Race for Technological Leadership in Artificial Intelligence |
2017 | |
12/10 - 14/10 | 2nd IAEE Eurasian Conference - Zagreb, Croatia Presentation: Technological Innovation Systems: Understanding the Wind Energy Diffusion Dynamics in Brazil |
17/08 - 21/08 | PhD Summer School in Frontiers in Innovation Systems: Measuring and Modelling Dynamics in Innovation Systems - Utrecht, Netherlands |
03/07 – 07/07 | 2nd LogDynamics Summer School: Coopetitive Control of Supply Chains - Bremen, Germany |
27/04 - 28/04 | 2nd PhDs in Transitions Conference - Lausanne, Switzerland Presentation: Modelling the functions of innovation systems: understanding the wind energy technology diffusion in Brazil |
2016 | |
19/10 - 21/10 | XIV Congresso Latinoamericano de Dinâmica de Sistemas, 2016 - São Paulo, Brazil Presentation: Energia eólica no Brasil: análise do comportamento atual e cenários futuros utilizando Dinâmica de Sistemas |
Publications
2021 | |||
Leusin, M. E., Jindra, B., Hain, D. S. (2021). An evolutionary view on the emergence of Artificial Intelligence. ArXiv preprint: 2102.00233, available at https://arxiv.org/abs/2102.00233. | |||
2020 | |||
Leusin, M. E., Günther, J., Jindra, B., & Moehrle, M. G. (2020). Patenting patterns in Artificial Intelligence: Identifying national and international breeding grounds. World Patent Information, 62, 101988. | |||
Maldonado, M. U., Leusin, M. E., de Albuquerque Bernardes, T. C., & Vaz, C. R. (2020). Similarities and differences between business process management and lean management. Business Process Management Journal. | |||
2018 | |||
Leusin, M. E., Frazzon, E. M., Uriona Maldonado, M., Kück, M., & Freitag, M. (2018). Solving the Job-Shop Scheduling Problem in the Industry 4.0 Era. Technologies, 6(4), 107. | |||
Leusin, M. E., Kück, M., Frazzon, E. M., Maldonado, M. U., & Freitag, M. (2018). Potential of a multi-agent system approach for production control in smart factories. Paper presented at the 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM). | |||
Leusin, M. E., Vaz, C. R., & Maldonado, M. U. (2018). Mapeamento Tecnológico de Patentes em Energia Eólica no Brasil. Future Studies Research Journal: Trends and Strategies, 10(2). | |||
2017 | |||
Leusin, M. E., Maldonado, M. U., & Frazzon, E. M. (2017). Mapeamento da produção científica sobre os Sistemas Ciber-Físicos (CPS) com foco na troca de dados. Paper presented at the SIMPOI 2017, São Paulo, Brazil. | |||
Leusin, M. E., Maldonado, M. U., Vaz, C. R., & Miguel, P. C. (2017).Technological Innovation Systems: Understanding the Wind Energy Diffusion Dynamics in Brazil. Paper presented at the Energy in Eurasia: Economic Perspectives on Challenges, Risks and Opportunities, 2nd IAEE Eurasian Conference, Oct 12-14, 2017. | |||
Leusin, M. E., Vaz, C. R., & Maldonado, M. U. (2017).Prospecção tecnológica de patentes sobre a energia eólica no Brasil. Buchkapitel in Portuguese in “Aplicações de Bibliometria e Análise de Conteúdo em casos da Engenharia de Produção”, 1ed. Florianópolis: UFSC, Brazil, p. 336-354. | |||
2016 | |||
Leusin, M. E., Grobbelaar, S. S., & Maldonado, M. U. (2016).Wind Energy Technology Diffusion: a comparative study between South Africa and Brazil. Paper presented at the 4th Annual System Dynamics Conference. | |||
Leusin, M. E., Zucco, L. H., & Maldonado, M. U. (2016).Energia eólica no Brasil: análise do comportamento atual e cenários futuros utilizando Dinâmica de Sistemas. Paper presented at the XIV Congresso Latinoamericano de Dinâmica de Sistemas, São Paulo, Brazil. | |||
2013 | |||
Leusin, M. E., Lemos, H. C. M., Rios, P. F., & Hoss, M. (2013).Metodologia MASP e ciclo PDCA na criação de um plano de ação: estudo de caso em uma empresa de varejo calçadista. Paper presented at the Encontro Nacional de Engenharia de Producao. |