Vudtiwat is a theoretical physicist and a Senior Lecturer in the School of Physics at the University of Sydney. He received a PhD in Physics from the University of Cambridge (UK), where he worked on ultracold quantum gases in the Theory of Condensed Matter (TCM) Group within the Cavendish Laboratory. He has held postdoctoral positions at Okinawa Institute of Science and Technology (Japan), Northwestern University (IL, USA) and CUNY Graduate Center (NY, USA). He was also affiliated with Fermi National Accelerator Laboratory (Fermilab) and the Center for the Physics of Biological Function (CPBF), a joint effort between Princeton University and CUNY Graduate Center.
Vudtiwat's research seeks to understand fundamental principles that govern how microscopic components conspire to generate new, collective behaviour at the macroscopic scale. This type of behaviour includes some of the most remarkable phenomena from magnetism to bird flocking to synchronous neural activity to learning in deep networks.
His current aim is to understand the fundamentals of learning in complex systems, including biological and physical systems and deep neural networks.
Examples of his recent work include cellular sensing, statistical inference of couplings in complex networks, information-theoretic analysis of overfitting, learning-theoretic characterisation of critical phenomena, learnability of protein sequence-function relationship, and cryptographic interpretation of spin glasses.
PHYS1901 - Thermal Physics
PHYS3x36 - Condensed Matter Physics
Publications
Journals
- Ngampruetikorn, V. (2024). Anomalous Hall effects in chiral superconductors. Frontiers in Physics, 12. [More Information]
- Ngampruetikorn, V., Sachdeva, V., Torrence, J., Humplik, J., Schwab, D., Palmer, S. (2022). Inferring couplings in networks across order-disorder phase transitions. Physical Review Research, 4(2). [More Information]
- Ngampruetikorn, V., Schwab, D., Stephens, G. (2020). Energy consumption and cooperation for optimal sensing. Nature Communications, 11(1). [More Information]
Conferences
- Ngampruetikorn, V., Schwab, D. (2022). Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality. 36th Conference on Neural Information Processing Systems, NeurIPS 2022, United States: Neural Information Processing Systems Foundation.
- Ngampruetikorn, V., Schwab, D. (2021). Perturbation Theory for the Information Bottleneck. 35th Conference on Neural Information Processing Systems, NeurIPS 2021, United States: Neural Information Processing Systems Foundation.
2024
- Ngampruetikorn, V. (2024). Anomalous Hall effects in chiral superconductors. Frontiers in Physics, 12. [More Information]
2022
- Ngampruetikorn, V., Sachdeva, V., Torrence, J., Humplik, J., Schwab, D., Palmer, S. (2022). Inferring couplings in networks across order-disorder phase transitions. Physical Review Research, 4(2). [More Information]
- Ngampruetikorn, V., Schwab, D. (2022). Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality. 36th Conference on Neural Information Processing Systems, NeurIPS 2022, United States: Neural Information Processing Systems Foundation.
2021
- Ngampruetikorn, V., Schwab, D. (2021). Perturbation Theory for the Information Bottleneck. 35th Conference on Neural Information Processing Systems, NeurIPS 2021, United States: Neural Information Processing Systems Foundation.
2020
- Ngampruetikorn, V., Schwab, D., Stephens, G. (2020). Energy consumption and cooperation for optimal sensing. Nature Communications, 11(1). [More Information]
- Ngampruetikorn, V., Sauls, J. (2020). Impurity-Induced Anomalous Thermal Hall Effect in Chiral Superconductors. Physical Review Letters, 124(15). [More Information]
2019
- Ngampruetikorn, V., Sauls, J. (2019). Effect of inhomogeneous surface disorder on the superheating field of superconducting RF cavities. Physical Review Research, 1(1). [More Information]
2017
- Bauer, M., Graf, I., Ngampruetikorn, V., Stephens, G., Frey, E. (2017). Exploiting ecology in drug pulse sequences in favour of population reduction. PLoS Computational Biology, 13(9). [More Information]
2016
- Ngampruetikorn, V., Stephens, G. (2016). Bias, belief, and consensus: Collective opinion formation on fluctuating networks. Physical Review E, 94(5). [More Information]
2015
- Ngampruetikorn, V., Parish, M., Levinsen, J. (2015). High-temperature limit of the resonant Fermi gas. Physical Review A, 91(1). [More Information]
2013
- Ngampruetikorn, V., Levinsen, J., Parish, M. (2013). Pair correlations in the two-dimensional Fermi gas. Physical Review Letters, 111(26). [More Information]
- Ngampruetikorn, V., Parish, M., Levinsen, J. (2013). Three-body problem in a two-dimensional Fermi gas. EPL, 102(1). [More Information]