Automatically generated programs: myth or reality?

Date/Time:
Thursday 8 May 2014, 6.00pm - 8.00pm

Venue:
The Davidson Building, 5 Southampton Street, London WC2E 7HA. The nearest underground stations are Covent Garden and Charing Cross.

Speaker:
Dr Tatiana Kalganova

Summary:

In computer science, the auto-coding techniques (also called code-generation or automatic program synthesis) are concerned with the translation of high-level specifications into code while, in artificial intelligence, researchers have developed methods where computers automatically create program code from a description of the problem to be solved. Two of the most popular forms of automated program creation are called Evolutionary Programming (EP) and Genetic Programming (GP). In Evolutionary programming the structure of the program is fixed while the parameters are allowed to be changed. In Genetic Programming, both the structure and parameters of the program code can be changed. The aim of this presentation is to diminish the gap between these two areas and explorer the potential of its applications in computer science.

Bio:

Dr Tatiana Kalganova (TK) is a lecturer in intelligent systems in the School of Engineering and Design at Brunel. She has more than 15 years of experience in the development of intelligent systems for design and optimisation of relatively complex systems. She has led and contributed to a number of research projects on evolutionary design and optimisation applied to real-world applications. She was a principal investigator on EPSRC funded project that developed scalable evolvable hardware approach. She has also led a number of projects funded by industry, for example a project co-funded by Caterpillar and EPSRC to develop new software that allows completing automatic routing and design of hydraulic systems.

She was a co-investigator on an EU funded project, GridCC, which involved the development of remote control of devices using Grid technologies. The unique approach developed for Demand Strategy Competition organised by Caterpillar has produced the best performing results among 3 out of 4 categories. Her team secured a 2nd place in this competition. Currently she is leading and managing several industry-funded projects in the area of automatic design, forecast and supply chain optimisation for industrial applications using intelligent systems. She published over 100 papers in highly respect journal and in conference proceedings and hold 1 patent with 3 patents filed recently. She has been a guest speaker at a number of events and presented invited papers at conferences and has been a member of a number of Conference organising and programme committees.

Admission:

Free. To gain admission please email your name to our Membership Secretary, Algirdas Pakstas, at a.pakstas@londonmet.ac.uk in advance of the meeting, including the title of the event and your name in the subject line of your email. Attendance lists will normally be finalised on the Monday preceding each meeting but late admission may be accepted by signing in to the Davison Building as a visitor.

Slides:

YouTube video of the event