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Prof. Dr. Lukas Hollenstein

Portrait Prof. Dr. Lukas Hollenstein

Prof. Dr. Lukas Hollenstein

ZHAW School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Schloss
8820 Wädenswil

+41 58 934 54 02
lukas.hollenstein@zhaw.ch

Work at ZHAW

Position

Focus

Modelling, simulation and optimization of complex systems. Core topics include production and logistics systems with complex interdependences and control strategies; application of simulation based optimization methods.

Teaching

Professional development teaching

CAS in Digital Life Sciences

Experience

  • Co-Head Digital Labs & Production, ICLS, ZHAW
    ICLS Institute of Computational Life Sciences, ZHAW
    01 / 2022 - today
  • Head Simulation & Optimization
    ICLS Institute of Computational Life Sciences, ZHAW
    05 / 2019 - today
  • Senior Lecturer
    ICLS Institute of Computational Life Sciences, ZHAW
    09 / 2013 - today
  • Postdoc
    Institute of Theoretical Physics, CEA Saclay, France
    2012 - 2013
  • Visiting Postdoc
    Institute of Theoretical Astrophysics, University of Oslo, Norway
    2012 - 2013
  • Postdoc
    Postdoc, Department of Theoretical Physics, University of Geneva, Switzerland
    2009 - 2012

Education and Continuing education

Education

  • PhD / Theoretical Cosmology
    University of Portsmouth, UK
    2006 - 2009
  • Diploma / Theoretical Physics
    University of Zurich
    2000 - 2005

Continuing Education

  • CAS Teaching and Learning in Higher Education
    Zurich University of Teacher Education (PHZH)
    2017
  • Project Management for Researchers
    ZHAW
    2015

Network

Membership of networks

ORCID digital identifier

ORCID ID: 0000-0002-2317-6071

Social media

Projects

Publications

Articles in scientific journal, peer-reviewed

Book chapters, peer-reviewed

Hollenstein, L. et al. (2019) 'Unsupervised learning and simulation for complexity management in business operations', in Braschler, M., Stadelmann, T., and Stockinger, K. (eds) Applied data science : lessons learned for the data-driven business. Cham: Springer, pp. 313–331. doi: 10.1007/978-3-030-11821-1_17.

Written conference contributions, peer-reviewed

Other publications

Oral conference contributions and abstracts

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