CONFERENCE KEYNOTE SPEAKERS
Invited speakers
Nikolay Bogoychev, Research scientist, Meta, United Kingdom
Presentation topic: MultiLoKo, a multilingual local knowledge benchmark for LLMs
Nikolay Bogoychev (or Nick for short) is a language nerd with a passion for foreign languages and cultures. He graduated with a degree in computer science from the University of Edinburgh. After completing his PhD in Machine Translation at the University of Edinburgh, he continued working there as a postdoc, working on creating free, open-source, high-quality translation models for end users. After a brief stint at a startup, he landed at Meta, where he works on training and evaluating LLaMa models and relentlessly advocates for improved multilingual support in all large language model products.
Links: https://nbogoychev.com/about
https://scholar.google.com/citations?user=z2hWTDMAAAAJ&hl=en
Alexander Gegov, Professor, DSc, School of Computing, Faculty of Technology, University of Portsmouth, United Kingdom
Presentation topic: Explainable AI: Recent Developments and Future Directions
Alexander Gegov is Associate Professor in Computational Intelligence in the School of Computing at the University of Portsmouth. He is also Visiting Professor in Control Theory in the English Faculty of Engineering at the Technical University of Sofia. His research interests are in development of artificial intelligence and machine learning methods using fuzzy systems, neural networks and evolutionary algorithms, validation of these methods for management, modelling, simulation and control of complex systems and networks characterised by nonlinearity, uncertainty, dimensionality and connectivity, application of these methods in areas such as public security (in collaboration with NATO), financial forecasting, medical diagnosis and environmental modelling and their evalution in terms of feasibility, accuracy, efficiency and transparency.
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