Dr Gordon Hunter

About

I have a BA in Mathematics from the University of Cambridge (Churchill College), an MSc in Electronic Engineering & Computer Science and a PhD in Speech, Hearing and Phonetic Sciences (Computer Speech Technology), both from University College London.

Prior to joining Kingston University as a Senior Lecturer in 2003, I had previously worked as a researcher at the British Antarctic Survey, the University of Portsmouth and University College London, and as a Lecturer at St. Mary's College (now St. Mary's University, Twickenham) and the University of Westminster.

My research interests encompass many aspects of Artificial Intelligence and Machine Learning (especially Statistically-Based Learning) and their applications (particularly to speech and language processing, to healthcare and in education). I also have interests in Mathematical & Computational Modelling in Sport, in Educational Technology for assisting the teaching and learning of Mathematics and Computer Science, and in Statistical Physics.

Academic responsibilities

Senior lecturer in Mathematics and Computing

Qualifications

  • BA (Hons), Mathematics, University of Cambridge, UK
  • MA, University of Cambridge, UK
  • MSc, Electronic Engineering and Computer Science, University College London, UK
  • PhD, Computer Speech Technology, University College London, UK
  • Chartered Mathematician, CMath, Fellow of the Institute of Mathematics and its Applications (FIMA)
  • Fellow of the Royal Statistical Society (FSS)
  • Member of the Institution of Engineering and Technology (MIET)
  • Member of the Institute of Acoustics (MIOA)

Teaching and learning

Research

My research has covered quite a wide variety of topics over the years, but recently it has been primarily focused on applications of Pattern Recognition and Statistical Machine Learning. Example applications on which I have worked include :

Statistical modelling of Natural Language (primarily comparing patterns in spoken and written English).

Modelling and monitoring liver tumours, observed using ultrasound imaging. 

Modelling the progression of Chronic Kidney Disease in patients.

Monitoring and modelling the well-being of honeybee colonies, using data from a variety of sensor modalities (sound, temperature, etc.)

Modelling and predicting sports results and performances (notably for cricket, tennis and association football), and investigating evidence of match fixing and other betting irregularities.

Research student supervision

Main supervision

Other supervision

Publications