Quantum Realtime Algorithm for Wildfire Containment

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Start: 18.06.2025 @ 18:00

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This event will provide you with the opportunity to learn about revolutionary approaches to tackling wildfires – one of the greatest global environmental threats. It will begin with an introduction to the challenges of wildfires and their impact on ecosystems and human lives, and then continue with quantum algorithms and artificial intelligence through the Quantum Realtime Algorithm for Wildfire Containment (QuRAWC) platform. It will demonstrate how the combination of quantum computing and AI enables real-time decision-making for fire prevention and control. Examples of predicting fire behavior and optimizing fire containment strategies will be discussed. Finally, a discussion will be opened about the future of such technologies and their potential for saving lives and protecting nature.

About the speakers

Petar Krstevski AI Engineer @Talnets - Graduated engineer in electrical engineering and information technologies with a specialization in computer engineering. He is currently part of a startup focused on football scouting and finding young undiscovered talents. He works on developing artificial intelligence models with audio/video data for application in football matches.

Nikola Gilev Machine Learning Engineer @CodeChem with experience in full-stack application development and a passion for artificial intelligence. Recently, his focus has been on LLMs and Retrieval-Augmented Generation (RAG) systems, where he actively researches and implements solutions based on advanced language models. He is currently working on a project in the field of machine vision, which uses images from Google Maps to extract useful information.

Alek Pachemski Front-End Engineer @ Marek Engineering He actively contributes to the development of modern web-first ERP systems. He has previously worked with ML models and streaming ML predictive pipelines, and today in his free time he develops ML tools through knowledge graphs and SQL databases, transformed into graph structures, in order to ask questions based on databases, enabling more advanced interaction with data. He has a strong technical foundation and a passion for solving complex challenges.

Call for presenters

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Do you enjoy sharing knowledge and like public speaking? Do you just enjoy sharing knowledge but are unsure how you feel about public speaking? Even if you're not 100% about public speaking, PyData is a very welcoming community and we appreciate any talks about sharing knowledge given by anyone passionate enough to share them.

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