Since Feb. 2026, I am an Associate Professor - Theoretical ML with CSE at the University of New South Wales (UNSW), Sydney. From June 2023, I was a Principal (now Visiting) Research Scientist in the StatML Research Group at Data61/CSIRO (former NICTA). I am also an Honorary Associate Professor at the Australian National University (ANU) and an Adjunct Full Professor at the Griffith University.

I received a BSc in Telecommunications and Software Engineering in 2004 from the Warsaw University of Technology, Poland, and completed a PhD in Computer Vision in 2013 at CVSSP, University of Surrey, UK. With my PhD students, I have received several awards such as the Sang Uk Lee Best Student Paper Award from ACCV’22, and the Runner-up APRS/IAPR Best Student Paper Award from DICTA’22, the Best Paper Award for Science-fundamental Research from ADS/Data61, 2024, and the Merit Award from The Pattern Recognition and Machine Intelligence Association (PREMIA), 2025.

I have served as a Workshop Program Chair for NeurIPS’23 and the Web. Conf. (WWW) 2025. I have served as a Program Chair for NeurIPS’25, and will serves as a Senior Workshop Program Chair for NeurIPS’26, Sydney.

PhD

I work on representation learning (contrastive & self-supervised learning, vision-language models (VLMs), LLMs, deep & graph neural nets), image classification & action recognition, zero-, one- & few-shot learning, domain adaptation, incremental learning, object segmentation & detection, generative nets, adversarial robustness, spectral, tensor & hyperbolic learning, RKHS, optimal transportation (OT).

My latest favorite topics include Machine UNlearning, optimal MLLM multimodal token fusion, and generative/diffusion models.

See: www.koniusz.com

Accepting strong candidates for PhD study. Must have A* publicatons such as CVPR, ECCV, ICCV, AAAI, WACV, BMVC, ICLR, NeurIPS, ICML, KDD, WWW, TPAMI, or similar high quality output.