|Oct 2007 -
Fatronik Foundation: Researcher
I moved to Fundación Fatronik-Tecnalia (Spain) in order to develop my interests in Artificial Intelligence.
These interests can be stated generally as "Probabilistic methods for uncertain reasoning".
I am interested in using probability under uncertainty for reasoning, planning, learning, perception, prediction, and decision making.
At Fatronik, I worked in the Neurengineering department. The department of neuroengineering was active in the field of applied neuroscience;
our research primarily involved projects in the domains of Bio-inspired Devices and Algorithms through A.I. & Computational Neuroscience.
As part of my work here, I travelled to Zürich (Switzerland) for a 4.5 month internship.
Also as part of my work in the Neuroengineering department, and after my internship in Zürich, I discovered Jeff Hawkins' "On intelligence"
and Dileep George's "How the brain might work: a hierarchical and temporal model for learning and recognition". I worked with HTM models for about a year and a half.
|Oct 2005 -
specialised in Gambling Consultancy (NOF
For the last three and a half years I have been working as
an operational researcher developing probability models of
slot machine games for the gambling industry. These models
are necessary to calculate the probability distribution of
the prizes and adjust the long-term percentage return and
also, albeit less importantly, to control the hit rate and
the volatility of the game. The "percentage return" is the
percentage of the collected money the game will return to
the players in the long term.
The models of the games are also necessary to perform risk analysis.
Although the law
of large numbers assures that the percentage return will approach
the theoretical percentage return in the long term, the casino
operators must know and understand that in the short term
there is a risk that the amount of money awarded in prizes
by the games exceeds the amount of money paid by the players.
Understanding and managing the risk is especially important
when large jackpots are involved.
Modelling these games requires
the use of Operational Research techniques, Probability and
Stochastic Processes. For those games in which the player
must make choices, the win distribution must be calculated
according to the optimal strategy. These models are developed
with a spreadsheet, when possible, but more often programming
languages such as C++, Java or Visual Basic must be used.
In every case, it is convenient to develop a Monte Carlo simulation
model along the mathematical model to double-check the results.
For a year and a half
I worked as a Mathematician for Barcrest Games. My job
consisted mainly in calculating the return percentage
of the games. Typical different parts of the games nowadays
include the following features: traditional spins, scatters,
free spins, gambles, bonus games etc. The calculations
for most of the features are quite straightforward.
However, Bonus Games are the feature that allows the
most variety; they can be anything from a trail to a
Battleships game and even a gamble. Therefore, their
analysis and calculations have to be done on a case-by-case
basis. Often, these games can be modelled as Markov
Chains. To model these processes I used either Excel
spreadsheets or C++, depending on which was more appropriate
in each case. I also used Stochastic Dynamic Programming
and Decision Theory to calculate the best strategy for
(National Air Traffic Services LTD.): Analyst:
I used to work for the Safety
Analysis group of the Analysis & Research department
of NATS. My role involved very different tasks from
analysing data and producing documents to reporting
the results of the analysis to doing the parameter review
for the Short Term Conflict Alert (STCA) system. STCA
alerts air traffic controllers to potential conflicts
Gifts Ltd. - Optimisation project:
EGL sell products by mail
order. The standard box dimensions needed to be optimised
to reduce the amount of wasted space and, therefore,
Lancaster University, Management Science Department
- Website design for the Combinatorial Optimisation 2004 Conference
City Council - Data analysis:
An analysis of Lancaster City Council’s
HMO database has been carried out to help evaluate the impact
of the ‘Turning the Tide’ Single Regeneration
Budget funded regeneration program. The first stage of the
· Building profiles
of the HMOs in the Morecambe area to determine their characteristics.
· Analysing the levels of shared amenities in HMOs.
· Calculating the number of units of accommodation
and analysing the levels of occupation of HMOs.
· Analysing the standard of means of escape from fire
The second stage of the
analysis involves analysing the trends in number, condition
and quality of HMOs in the Morecambe area by comparing the
results of the analysis outlined above with the results of
the same analysis carried out in the 1994 HMO database.
|Sept 1999 -
Collaborated in a project
for DERA ‘An academic
study of re-use technologies’.
Reviewed current and emerging approaches to software
construction, composition and re-use.
© Noelia Oses