Petre Lameski
Papers
3
Total Citations
66
H-Index
3
About
Petre Lameski is a researcher at the forefront of ambient assisted living (AAL) and artificial intelligence, with a focus on creating intelligent systems that enhance human well-being. His most cited work, a 2022 scoping review on AAL (57 citations), provides a comprehensive analysis of AI models, domains, and technologies, establishing him as a key voice in this critical field. Lameski’s contributions span deep learning and computer vision, including explorations into dense image captioning—a technique that bridges natural language processing and visual understanding to improve assistive technologies and robotics. Earlier in his career, he tackled mobile robot localization using FuzzyART neural networks, demonstrating an enduring interest in autonomous systems and environmental perception. His research not only advances theoretical frameworks but also addresses practical challenges in healthcare, daily living support, and human-robot interaction. With a growing citation impact and a portfolio that blends AI, robotics, and assistive innovation, Lameski is shaping the future of technology that learns from and adapts to human needs.
Research Focus
Key Achievements
Top Papers
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