Biography
Albin Uruqi works at the intersection of artificial intelligence research and engineering, focusing on the design and deployment of scalable AI systems across industries such as energy, business, healthcare, and cybersecurity. His work emphasizes bridging advanced research with real-world applications, with particular expertise in Agentic AI, intelligent automation, and machine learning systems integrated into production environments.
Experience
AI Lead at Arpya
Founding Researcher at KAG AI
AI Consultant at Berna Consulting
Education
Master of Science (MSc) in Engineering with specialization in Data Science; Lucerne University of Applied Sciences and Arts (ongoing)
Bachelor of Science (BSc) in Computer Science; The Open University & The American College of Thessaloniki (with honors)
Peer-Reviewed Journal Articles
An Energy-Aware AIoT Framework for Intelligent Remote Device Control (Mathematics, 2025)
https://www.mdpi.com/2227-7390/13/24/3995
A Novel Framework Leveraging Large Language Models to Enhance Cold-Start Advertising Systems (Future Internet, 2025)
https://www.mdpi.com/1999-5903/17/8/360
Exploiting Spiking Neural Networks for Click-Through Rate Prediction in Personalized Online Advertising Systems (Forecasting, 2024)
https://www.mdpi.com/2571-9394/7/3/38
Peer-Reviewed Conference Articles
A Comparative Analysis of Spiking and Traditional Neural Networks for Online Advertising (ICOAEF 2025 Conference Proceedings Paper)
https://www.icoaef.com/wp-content/uploads/2025/10/FULL-PAPER-PROCEEDING-2025-ICOAEF-13-23825_.pdf#page=158
