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The University of Southampton
Centre for Risk Research

Quantifying Uncertainties: Classical, Frequentist and Subjective Interpretations Event

Professor Kiril Tenekedjiev
22 November 2017
Highfield Campus, Building 4, Room 4005

Event details

This seminar will dive into the broad area of uncertainty quantification. It will start from the basics of probabilities and their interpretation. It will then take the audience to a more detailed discussions around the essence of subjective probabilities, their axiomatic justification and methods for elicitation that minimize cognitive biases. At a final stage, the talk will present uncertainty quantification techniques that include the construction of subjective ribbon distributions, the design and implementation of new types of simulation based risk analysis and its potential application areas.

Speaker information

Professor Kiril Tenekedjiev,University of Tasmania,Kiril Tenekedjiev is a professor in the Faculty of Engineering (Dept. IT) of Nikola Vaptsarov Naval Academy – Bulgaria, and a fixed-term professor with the National Centre for Maritime Engineering and Hydrodynamics (NCMEH) of the Australian Maritime College, University of Tasmania. His research interests are in the broad area of systems engineering, with achievements in quantitative decision analysis, simulation-based risk analysis, simulation modelling, applied mathematics and statistical pattern recognition. Kiril has published over 200 articles in four languages in peer-reviewed journals, book chapters and international conferences. He serves as editorial board member in three internationally renowned computational intelligence journals. Kiril is an IEEE Senior member, a Fulbright Scholar, and is also a member of the IEEE Computational Intelligence Societies, SIPTA, and EADM. Kiril currently serves as member of TFEU Program Committee "Smart, Green and Integrated Transport", Horizon 2020 of the EU, as representative for Bulgaria for the period 2014-2020. He has attracted over $10 000 000 of research funding over the course of his career, and has supervised PhD students in a variety of topics spanning from economic analysis and IT to transport management and mechanical engineering.

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