Prof. Dr. Erik Graf

Profil

Prof. Dr. Erik Graf Leiter Studiengang Data Engineering

  • Adresse Berner Fachhochschule
    Technique et informatique
    Lehre
    Höheweg 80
    2502 Biel

Activités

  • Head of Data Engineering Specialisation

Enseignement

  • BsC Computer Science

  • Database Systems

  • Data Engineering Life Cycle

  • Deep Learning

Recherche

  • Natural Language Processing

  • Fin-Tech, Legal-Tech Applications

  • Applied Machine Learning Applications

  • Interactive Machine Learning

  • Intelligent Automation

  • Intelligent Search

Parcours professionnel

  • Professor Graf has over 12 years’ industrial R&D experience in the fields of natural language processing and information retrieval in multinational companies and startups. His passion lies in the development of scalable artificial-intelligence and machine-learning solutions for real-world problems. He obtained his PhD at the University of Glasgow, exploring information retrieval based on human information processing. His general research interest lies at the intersection of cognitive science, IR, and NLP. He has worked or collaborated with several academic and industry research groups, including the HP Information Dynamics Lab, IBM Labs, the Glasgow IR Group, and the Sheffield NLP Research Group. As Chief Scientific Officer at Cortical.io, he has been responsible for the development of successful commercial NLP solutions for large enterprises. These include the Cortical.io Retina, which enables semantic searching of big text data, and the Cortical.io Contract Intelligence Engine, which automates extraction of key information from large volumes of legal documents. His current role as Professor for Data Engineering centres around the successful application of "AI" technologies in the context of applied research, teaching and entrepreneurship.
  • 2013-2017 Chief Scientific Officer (CSO) Cortical.io
  • 2007-2011 PhD University of Glasgow

Projets

Affiliations

  • Data Science and Engineering Research Group

  • ACM

  • Member of the Swiss Profile Commission "Master of Engineering Data Science"

Distinctions

Connaissances linguistiques et connaissances de pays

  • Allemand - Locuteur bilingue ou de langue maternelle
  • Anglais - Locuteur bilingue ou de langue maternelle
  • Français - Compétence professionelle limitée
  • Japonais - Compétence professionelle limitée