Mihalis A. Nicolaou

Asst Professor

Comp. Sci. UCY

I am an Assistant Professor at the Department of Computer Science at the University of Cyprus. Previously, I was Associate Professor at the Computation-based Science and Technology Research Center at The Cyprus Institute, where I remain as adjunct Associate Professor. I obtained my MSc and PhD from the Department of Computing at Imperial College London, where I remained as a Research Associate and currently affiliated as Senior Honorary Research Fellow. I completed my undergraduate studies at the Department of Informatics and Telecommunications at the University of Athens, Greece, and have also held faculty and Visiting Researcher positions at the Department of Computing at Goldsmiths, University of London, and the Dept. of Computer Science, Rutgers University respectively.

I am interested in developing machine learning (ML) algorithms that are robust, efficient, generalizable, and interpretable - often by learning representations that carry such properties in a deep learning (DL) context.


I work in a wide range of applications, such as computer vision (CV) and natural language processing (NLP), while I am particularly interested in inter-disciplinary applications, such as machine learning for climate monitoring and earth observation, health, and science.


For more details, see my list of publications and Google Scholar.


recent papers (selected)

ICML graphical abstract
PolySAE: Modeling Feature Interactions in Sparse Autoencoders via Polynomial Decoding
P. Koromilas, A. D. Demou, J. Oldfield, Y. Panagakis, M. A. Nicolaou
International Conference on Machine Learning (ICML), 2026
NeurIPS graphical abstract
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
J. Oldfield, S. Im, Y. Li, M. A. Nicolaou, I. Patras, G. G. Chrysos
Advances in Neural Information Processing Systems (NeurIPS), 2025
NeurIPS graphical abstract
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
J. Oldfield, M. Georgopoulos, G. G. Chrysos, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, J. Deng, I. Patras
Advances in Neural Information Processing Systems (NeurIPS), 2024
Book graphical abstract
Tensor Methods in Deep Learning
Y. Panagakis, J. Kossaifi, G. Chrysos, J. Oldfield, M. A. Nicolaou, S. Zafeiriou, A. Anandkumar
Signal Processing and Machine Learning Theory, Elsevier (book chapter), 2024
TPAMI graphical abstract
Bilinear Models of Parts and Appearances in Generative Adversarial Networks
J. Oldfield, C. Tzelepis, M. A. Nicolaou, Y. Panagakis, I. Patras
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024