Summary
Luca Ciampi is a researcher in computer vision and deep learning with a Ph.D. in Information Engineering from the University of Pisa and nine years of experience tackling image and video understanding problems. Based at ISTI-CNR in Pisa, he focuses on visual counting, object detection, medical image analysis, domain adaptation, and deep learning under data scarcity, often leveraging synthetic data and few-shot strategies. His work bridges theory and practice, addressing not only algorithmic accuracy but also deployment challenges in resource-constrained environments. Luca has a strong international track record of short-term research visits across Europe and Turkey, reflecting collaboration on multimodal AI and transfer learning. Beyond typical academic contributions, he combines engineering experience in Java EE and accessible web platforms with cutting-edge deep learning research, making him adept at turning complex models into usable systems.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Information Engineering (Artificial Intelligence and Computer Vision), Doctor of Philosophy - PhD, Information Engineering (Artificial Intelligence and Computer Vision) at Università di Pisa
Italian, English