Mairo Leier is an Estonian researcher and senior academic specializing in embedded artificial intelligence and computer systems. He serves as a Senior Researcher and Head of the Embedded Artificial Intelligence Research Laboratory at Tallinn University of Technology (TalTech). He completed his doctoral studies in 2016 at Tallinn University of Technology with a dissertation on scalable open platforms for reliable medical sensorics. His academic training also includes a master’s degree in informatics and international studies at Karlsruhe Institute of Technology, along with foundational engineering education in mechanics and embedded systems. Leier’s research interests encompass machine learning on embedded systems, optimization techniques, edge computing, and neural network compression and acceleration for resource-constrained hardware. He has authored and co-authored numerous peer-reviewed articles on topics such as smart sensor systems, autonomous systems, and deep learning model optimization. Leier is also active in supervising graduate student research projects and laboratory-based instruction in embedded systems and AI-enabled devices.
In addition to his academic duties, he has participated in industry collaborations focused on rapid prototyping and technology transfer in embedded hardware and IoT platforms. His work contributes to both theoretical developments and practical applications in intelligent systems integration. Leier’s academic leadership and research outputs have helped advance TalTech’s profile in embedded artificial intelligence and smart systems research. His contributions span interdisciplinary domains at the intersection of computing, automation, and applied AI technologies.