prof.dr. (Gui) G Liberali

prof.dr. (Gui) G Liberali

Professor of Digital Marketing

Full professor Rotterdam School of Management, Erasmus University Department of Marketing Management
Location
Burg. Oudlaan 50, Rotterdam
Room
T10-14
Email
liberali@rsm.nl
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Profile

Gui Liberali is the full Professor of Digital Marketing at Rotterdam School of Management (RSM) of the Erasmus University. He holds a doctorate in marketing and a B.Sc. in computer science. His work has appeared on Marketing Science, Management Science, International Journal of Marketing Research, Sloan Management Review, and European Journal of Operational Research. His research interests include optimal learning, multi-armed bandits, digital experimentation, morphing theory and applications (e.g., website morphing, ad morphing), dynamic programming, machine learning, and product line optimization. Personal webpage: *www.guiliberali.org*  For more details on professional experience, education, and latest news please visit my linkedin page at  www.linkedin.com/in/gui-liberali/

  • Gui Liberali (2018) - Management Science (Journal)
  • Gui Liberali (2014) - International Journal of Research in Marketing (Journal)

  • G (Gui) Liberali (2019) - 2019 Long Term Impact Award
  • G (Gui) Liberali (2018) - 2018 Long Term Impact Award
  • G (Gui) Liberali (2017) - 2017 Long Term Impact Award
  • Gui Liberali (2016) - Research & development grant - Takeoff studies - Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
  • Gui Liberali (2013) - Top Talent Researcher, Erasmus School of Economics 2013
  • Gui Liberali (2010) - John D.C. Little Best Paper Award - Finalist
  • Gui Liberali (2010) - Salary Grant (Two Years) - Marie Curie Actions - European Comission
  • Gui Liberali (2009) - Emerald Group Citation of Excellence, top 50 of 15000 Papers in Management Journals

Hyper Morphing Technologies

Start date approval
March 2021
End date approval
March 2024
Place
ROTTERDAM

Unsupervised Machine Learning

Level
Master
Year
2021
Year Level
Master
Course Code
EBDS20103-F

Learning from big data

Year
2021
Year Level
bachelor 3, bachelor, bachelor 3
Course Code
B3MIN1039

Using Business Analytics and Machine Lea

Level
master
Year
2021
Year Level
master
Course Code
BM-IM04CC

  • Xin Zhou

    E-commerce success: traffic, bouncing and conversion
  • Agapi-Thaleia Fytraki

    Behavioral Effects in Consumer Evaluations of Recommendation Systems
  • Ibrahim Usame Cikrikcioglu

    Doctoral Research in Marketing (Marketing Science)
  • Bob Jan Jouke Rombach

    Doctoral Research in Marketing (Marketing Science, Consumer Behaviour or Consumer Neuroscience)
  • Zeynep Aydin

    Mobile Consumers and Applications: Essays on Mobile Marketing
  • Marina Lenkovskaya

    Doctoral Research in Marketing (Marketing Science, Consumer Behaviour or Consumer Neuroscience
  • Ting-Yi Lin

    Doctoral Research in Marketing (Marketing Science, Consumer Behaviour or Consumer Neuroscience

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