Prof. Dr. Erik Graf
Profile
Prof. Dr. Erik Graf Leiter Studiengang Data Engineering
-
Address
Berner Fachhochschule
School of Engineering and Computer Science
Lehre
Höheweg 80
2502 Biel
Activities
Responsibilities
Head of Data Engineering Specialisation
Teaching
Degree programmes
BsC Computer Science
Subjects
Database Systems
Data Engineering Life Cycle
Deep Learning
Research
Specialisations
Natural Language Processing
Fin-Tech, Legal-Tech Applications
Applied Machine Learning Applications
Interactive Machine Learning
Focus areas
Intelligent Automation
Intelligent Search
CV
Biography
- 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.
Professional experience
- 2013-2017 Chief Scientific Officer (CSO) Cortical.io
Education
- 2007-2011 PhD University of Glasgow
Projects
Memberships
Internal memberships
Data Science and Engineering Research Group
External memberships
ACM
Member of the Swiss Profile Commission "Master of Engineering Data Science"
Awards
Language skills and intercultural knowledge
Language skills
- German - Native or bilingual proficiency
- English - Native or bilingual proficiency
- French - Limited working proficiency
- Japanese - Limited working proficiency