Romeo Lanzino

I’m currently at my second Postdoc position as a Researcher in Artificial Intelligence at the Division of Robotics, Perception and Learning (RPL) of KTH Royal Institute of Technology, in Stockholm.

Until mid 2025, I was a Postdoc at the Computer Science Department of Sapienza University of Rome.

My research lies at the intersection of Computer Vision, Continual Learning, and Representation Learning.

I hold a PhD from the Italian National PhD in Artificial Intelligence program, where I deepened my expertise in AI and Deep Learning. My doctoral research, titled "Sparking Light on Deep Learning in EEG Research", critically examined the recent success of neural networks in physiological signal analysis, highlighting and challenging some of the more surprising claims in the field.

Before pursuing my PhD, I earned both my BSc and MSc in Computer Science at Sapienza, graduating with honors. My master’s thesis, "Laplacian-regularized Transductive Inference for Few-shot Object Detection", was supervised by Prof. Fabio Galasso.

Beyond research, I actively contribute to the academic community. I serve as a reviewer for top-tier conferences and journals such as ICCV, NeurIPS, IEEE Transactions on Multimedia, and Nature Scientific Reports, and co-organize workshops at major venues, including BISCUIT and VisionDocs at ICCV'25.