Research of Achim Hoffmann
Research Interests:
My research interests lie at the core of the emerging field of Data
Science: The problem of building systems capable of making complex
decisions based on large quantities of available data. Statistical
methods and Machine Learning use data to support this process. However,
the data by itself is often not sufficient to achieve sensible results. The
suitable choice of a representation of the data as well as a suitable bias of
the (learning) method used is often instrumental to achieve good results even
where large amounts of data are available.
E.g. a linear function cannot properly reflect a non-linear relationship.
Hence, I am interested in both, in automatic learning methods (Machine Learning, Neural Networks, Statistics)
as well as interactive approaches to building
knowledge bases utilising the human expert as well as available data.
I
believe a combined approach of both, analysing data as well as
interacting with human experts is the most effective way to cover the
technical side in the field of Data Science.
Graduated Research Students:
- Filippo Galgani (PhD)
- Han Xu (MSc by Research)
-
Yuanyong Wang (MSc by Research)
-
Seung Yeol Yoo (PhD)
-
Jochen Bekmann (PhD)
-
Son Bao Pham (PhD)
- Abdus Salam Khan (PhD)
- Ghassan Beydoun (PhD)
- Mark Pendrith (PhD)