Summary
Ismail Elezi is a Principal Research Scientist and Tech Lead at Huawei Noah’s Ark Lab London with 11 years of experience advancing computer vision and multi-modal learning. He leads a multi-modality team and has driven research across knowledge distillation, long-tail detection, 3D reconstruction and diffusion models, with publications in top CV and ML venues (CVPR/ICCV/ECCV/NeurIPS/ICML/ICLR/tPAMI). Previously a postdoc at TUM, his work spans metric learning, active and semi-supervised learning, open-world detection and generative models, and he has industry experience from Nvidia and Argo AI. He earned a PhD split between Venice and Zurich focusing on contextual information, and consistently contributes to peer review—earning outstanding reviewer awards at CVPR and ICCV. Ismail is open to mentoring top-tier first-author interns and is actively interested in LLMs and visual LLM work, reflecting a rare mix of deep academic rigor and product-facing research exposure. An underrated detail: he keeps hands-on engineering roots (internships and applied projects) while steering high-level research strategy.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Machine Learning/Computer Vision, Honors, Doctor of Philosophy (Ph.D.), Machine Learning/Computer Vision, Honors at Ca' Foscari University of Venice
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of Prishtina
English, Albanian, Italian