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Matheus Eduardo Leusin

Matheus Leusin

Wissenschaftlicher Mitarbeiter (Doktorand)



Max-von-Laue-Straße 1
28359 Bremen
Building WIWI 2, Room F 2120

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  • Artificial Intelligence
  • Innovation Systems
  • Technological development

Research Gate


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


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


30/09 - 04/10

Scientific Seminar "New Dimensions in the Economics of Innovation" – Thiessow, Germany

Presentation: The diffusion of Artificial Intelligence: Preliminary findings

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


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


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



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.