Management of Technology & Entrepreneurship Institute

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Wake‑Up Call for Switzerland: New Study Explores Innovation Slowdown

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  • Research
Read moresur Tech Transfer.

Switzerland still has strong innovation centres and globally competitive sectors. However, signs of fatigue and fragmentation are visible. This is shown by a new study conducted by FHNW, the KOF Institute, EPFL (Prof. Dominique Foray) and the University of St. Gallen. It examines how Swiss innovation models are changing and where they are stagnating. Politics and business must respond in order to enable a new wave of transformative innovations that create new companies, industries and markets.

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Self-Learning Part Feeder Wins “AI-Powered Innovation” Prize

NewsEducation

Since 2019, every year the graduate course “Innovation and Entrepreneurship in Engineering” (MGT-555) brings together students from across EPFL to develop product-innovation projects with industry partners. Led by Prof. Véronique Michaud and Prof. Thomas A. Weber, the Autumn 2025 edition focused on “AI-Powered Innovation.” Seven multidisciplinary teams delivered working demonstrators and business cases, with explicit attention to sustainability and risk. The top prize (the 2025 IEE Prize) was awarded to Team 5 for “GRASP,” a self-learning robotic part-feeding add-on for flexible manufacturing, developed with HUMARD Automation. The runner-up was Team 1 for “OptiFlow,” an AI-powered shelf-layout and customer-flow optimization concept developed with Decathlon.

“I apply an engineer's mindset to a non-engineering discipline”

NewsEPFL

Michaël Aklin likes to challenge students to think about what happens outside the “safe space” of the laboratory. Named the 2025 best teacher in the management of technology and entrepreneurship section, he reminds those who attend his classes that new technology inevitably has ripple effects across society.

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The establishment of the Management of Technology & Entrepreneurship Institute demonstrates a commitment to advancing knowledge and understanding in the areas of technology management, entrepreneurship, and public policy. Institutes like these play a crucial role in promoting research, fostering innovation, and developing programs that equip individuals with the skills and knowledge needed to succeed in these fields.

By combining these three domains, the Management of Technology & Entrepreneurship Institute aims to create a comprehensive understanding of how technology, entrepreneurship, and public policy intersect and influence each other. This interdisciplinary approach is crucial for addressing the challenges and opportunities in today’s rapidly evolving business and societal landscape.

MTEI teaching programs

Fields of Competences

  • Business analytics
  • Economic Analysis
  • Entrepreneurial strategies
  • Machine Learning
  • Management of innovation
  • Operations & supply chain management
  • Optimization
  • Policy & Sustainability
  • Technology commercialization
  • Technology & IP Policy 

UPCOMING EVENTS

Entrepreneur Club Founder's Ideathon

 14.03.202615.03.2026  

Category: Conferences – Seminars
Target audience: General public

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RECENT PUBLICATIONS

2026

Group-and-cut approach for dynamic programming with Fréchet-distributed quantizers

A. Timonina-Farkas 

Omega (United Kingdom). 2026. Vol. 141, p. 103502. DOI : 10.1016/j.omega.2025.103502.

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A dataset of scientific citations in U.S. patent Office Actions

K. Higham; H. Kotula; E. Scharfmann; S. Gong; G. de Rassenfosse 

Scientific Data. 2026. DOI : 10.1038/s41597-026-06720-7.

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Adaptive Robust Markov Decision Process for Wide-Area Surveillance with Collaborative Combat Aircraft

J. Choi; M. Li; M. Z. Li 

2026. AIAA Science and Technology Forum and Exposition, Orlando, FL, US, 2026-01-12 – 2026-01-16. DOI : 10.2514/6.2026-2884.

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Steering towards circularity: Systemic pathways to a more sustainable use of resources in the EU automotive industry

E. Chiarotti; B. Thurm; P. Paruta; G. Baudry; L. Schwartzmann et al. 

Sustainable Production and Consumption. 2026. Vol. 62, p. 12 – 27. DOI : 10.1016/j.spc.2025.12.003.

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Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

M. Li; T. Sutter; D. Kuhn 

SIAM Journal on Optimization. 2026. Vol. 36, num. 1, p. 120 – 151. DOI : 10.1137/24M1631250.

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CONTACT

Director of the Institute:
Prof. Daniel Kuhn
EPFL CDM MTEI
Odyssea, Station 5, 1015 Lausanne

Administration:
Amandine Weissbrodt
T: +41 21 693 0122