Dr Vitaly Schetinin

Senior Lecturer in Computing and Information Systems

Dr Vitali Schetinin

Dr Schetinin has obtained a PhD in Computer Science (Computational Intelligence) in 1997. He worked as a post-doctoral researcher at the University of Jena (Germany) and then at the University of Exeter. He joined the department in 2005.

Research Interests

  • Computational Intelligence, Machine Learning
  • Statistical Analysis, Bayesian Modelling, Risk Assessment
  • Pattern Recognition, Computer Vision
  • Data Mining and Knowledge Discovery


  • Concepts and Technologies of Computational Intelligence (UG, Module Coordinator)
  • Decision Support Systems and Data Mining (UG)
  • Robotics, Computer Vision (UG)
  • Intelligent Agents, and Data Mining (PG)
  • Applied Statistics, and Operational Research (PSU)
  • Optimal Control Theory (PSU)
  • Supervising UG, PG, and PhD projects

PhD Projects Supervised

  • 1999, Models of Group Method of Data Handling for Quality Control Systems
  • 1998, Statistical Models for Predicting Post-Operative Complications in Abdominal Surgery

Research Grants

  • 2009-2012, Bayesian Assessment of Newborn Brain Maturity from clinical EEG. Leverhulme Trust, £82,500
  • 2008 – 2009, Statistical Modelling of Radio Wave Propagation. EPSRC

Reviewer for

  • IEEE, Pattern Analysis and Machine Intelligence
  • IEEE, Evolutionary Computing
  • IEEE, Neural Networks
  • IEEE, Industrial Electronics
  • IEEE, Biomedical Engineering
  • IEEE, Intelligent Systems
  • Elsevier, Signal Processing

Member of Technical Committees

  • The 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE), 2010
  • The World Congress in Computer Science, Engineering and Applied Computing, 2008
  • The 4th International Conference on Natural Computation, 2008
  • The International Conferences on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2004 - 2006


Contact details

Dr Vitaly Schetinin
E: vitaly.schetinin@beds.ac.uk
T: +44 (0)1234 400400


University switchboard
During office hours
(Monday-Friday 08:30-17:00)
+44 (0)1234 400 400

Outside office hours
(Campus Watch)
+44 (0)1582 74 39 89



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