Dr. Matheus Eduardo Leusin

Picture Matheus Eduardo Leusin

Guest Research Assistant


Max-von-Lauen-Str. 1
28359 Bremen
Building WIWI2, Room F 2140
Phone: +49 (0)421 218-666-13


  • Artificial Intelligence
  • Innovation Systems
  • Technological development


Google Scholar


ORCID Profile

Personal details

Since June 01, 2022, Matheus Eduardo Leusin is a Postdoc in the working group of Prof. Dr. Christian Cordes at the University of Bremen. Matheus has a background in industrial engineering and has concluded his Ph.D. in Economics at the University of Bremen. His Ph.D. research deals with the worldwide emergence and diffusion of technologies linked to Artificial Intelligence (AI). Taking an evolutionary perspective, his research provides a comprehensive overview of the technological development of AI, how this development was reflected in countries’ exploration of these technologies, and how the most recent wave of AI development affects the innovative activities of firms that introduce AI innovations. During his Ph.D., Matheus also researched the emergence of digital-sustainability technologies, which are at the heart of the European Green Deal objectives. In his master's, completed in 2018, Matheus analysed the emergence and diffusion of wind technologies in Brazil. He also worked during his master’s as a guest researcher at the Bremer Institut für Produktion und Logistik GmbH (BIBA), researching the development of Cyber-Physical Systems.

Curriculum Vitae

2009-2014 University of Santa Catarina, Brasil - Degree: Bachelor of Science
2016-2018 University of Santa Catarina, Brasil - Degree: Master of Science
2018           Universität Bremen: Guest Reaserch Assistant (Ph.D candidate)



Leusin, M. E., Maldonado, M. U., & Herrera, M. M. (2024). Exploring the influence of Brazilian project cancellation mechanisms on new wind power generation. Renewable Energy, 221, 119755. DOI: https://doi.org/10.1016/j.renene.2023.119755


Leusin, M. E. (2022). Technological change and absorptive capacity: An evolutionary perspective of Artificial Intelligence. Dissertation. DOI: https://doi.org/10.26092/elib/1653.

Leusin, M. E. (2022). The development of al in multinational enterprises-effects upon technological trajectories and innovation performance. DOI: https://doi.org/10.26092/elib/1443

Jindra, B., & Leusin, M. (2022). The development of digital sustainability technologies by top R&D investors. Publications Office of the European Union. DOI: https://doi.org/10.2760/150239


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.


Leusin, M. E., Günther, J., Jindra, B., & Moehrle, M. G. (2020). Patenting patterns in Artificial Intelligence: Identifying national and international breeding grounds. World Patent Information62, 101988. DOI: https://doi.org/10.1016/j.wpi.2020.101988

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. DOI: https://doi.org/10.1108/BPMJ-09-2019-0368


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).


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.


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.


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.