Claim Hochschule Weihenstephan-Triesdorf - University of Applied Sciences
Palfreyman Niall

Prof. Dr. Niall Palfreyman

Wissensbasierte Systeme und Künstliche Intelligenz

Hochschule Weihenstephan-Triesdorf
Vöttinger Str. 27
85354 Freising

Raum C5.212

T +49 8161 71-4814
F +49 8161 71-3057

niall.palfreyman [at]hswt.de

Sprechstunde: Dienstag 10 Uhr in Raum C5.212

Funktionen

  • Studienfachberater für den Studiengang Bioinformatik / Bioprozessinformatik

Lehrveranstaltungen

  • Mathematical Foundations of Biology
  • Foundations of Physics
  • Biological Systems
  • Dynamical Systems
  • Scientific Programming
  • Biomathematics
  • Soft Computing
  • Systems Biology
  • Conflict and Dialogue

Patente

  • Method for Producing a Marker - European patent EP99/113624.3 (July 1999)
  • Method and System for Automatic Marker Making - European patent EP98/02940 (March 1998)

Persönliche Daten

  • Name:
Dr. Niall Malcolm Palfreyman
  • Geburtsdatum / -ort:
15. 09. 1957 in Abingdon, England
  • Staatsangehörigkeit:
British
  • Schulstudium:
1970-1976, Beechen Cliff School, Bath, England.
  • Hochschulstudium:
     1976-1980B.Sc. (Hons) in Mathematics with Education, University of Nottingham
     1980-1981M.Sc. in Mathematical Physics, University of Aberdeen
     1981-1984 Ph.D. in Mathematical Physics, University of Leicester
  • Berufliche Tätigkeiten:
     1984-1986 CICS Software-Entwickler, IBM (UK) Ltd., Winchester, England.
     1986-1990Post-doctoral Research Fellow, Open University, Milton Keynes, England.
     1990-1991Scientific Assistant,
Organisch-Chemisches Institut, TU München.
     1991-1995 Consultant und Trainer, AT&T (Deutschland) GmbH., Augsburg.
     1995-2000

Project leader Automarking, assyst GmbH., Kirchheim bei München.

Further information

  • Additional training:
Group-analytic group psychotherapy
NLP Master Health Practitioner
  • Interests:
Modelling, simulation and optimisation of complex dynamical systems. Complexity, non-linear dynamics, incompleteness and non-reductionistic methods.
Computational and theoretical biology: genetics, ecology, morphology and immunology. Disease and health as systemic phenomena.
The Learning Organisation - in particular group learning and problem-solving communication in design teams and education. Emotion and conflict as team-forming processes.
Design of learning materials and experiences, particularly for small groups context - especially in the areas of mathematics, physics and computer science.
Interreligious dialogue, folk-guitar, walking.