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Dr Kasun Fernando Akurugodage
Lecturer in Mathematics

Summary

I am a mathematician, math educator, and a machine learning & data science enthusiast.

Previously, I was a Junior Visitor in Dynamical Systems at the Centro di Ricerca Matematica Ennio De Giorgi, Scuola Normale Superiore di Pisa in Italy and was a postdoctoral fellow at the University of Toronto in Canada where I conducted research in chaotic dynamical systems & Markov processes, and branched out into inferential statistics & machine learning.

Apart from research work, I am actively involved in the mathematical community as an educator. Due to my commitment to teaching, in 2020, I won the Award for Teaching Excellence by a Junior Member of the Mathematics Department, University of Toronto.

Also, since the beginning of my undergraduate studies, I have been contributing to many outreach projects in Canada, Sri Lanka, and the US with the hope of popularizing mathematics among the general public and promoting diversity in STEM.

Qualifications

  • PhD in Mathematics, University of Maryland                                                                                                  Dissertation: Higher Order Asymptotics for the Central Limit Theorem and Large Deviation Principles.
  • BSc in Mathematics, University of Colombo

Newest selected publications

Ramasinghe, S., Fernando, K., Khan, S. and Barnes, N. (2022) 'A Robust Normalizing Flow using Bernstein-type Polynomials'.The 33rd British Machine Vision Conference (BMVC 2022). London, UK. 21 - 24 November. The 33rd British Machine Vision Conference Proceedings. pp. 1 - 19.Open Access Link

Conference paper

Fernando, K. and Pène, F. (2021) 'Expansions in the Local and the Central Limit Theorems for Dynamical Systems'. Communications in Mathematical Physics, 389 (1). pp. 273 - 347. ISSN: 0010-3616 Open Access Link

Journal article

Fernando, K. and Hebbar, P. (2021) 'Higher order asymptotics for large deviations - Part i'. Asymptotic Analysis, 121 (3-4). pp. 219 - 257. ISSN: 0921-7134 Open Access Link

Journal article

Fernando, K. and Liverani, C. (2021) 'Edgeworth expansions for weakly dependent random variables'. Annales de l'institut Henri Poincare (B) Probability and Statistics, 57 (1). pp. 469 - 505. ISSN: 0246-0203 Open Access Link

Journal article

Fernando, K. and Hebbar, P. (2020) 'Higher order asymptotics for large deviations-Part II'. Stochastics and Dynamics, 21 (5). pp. 2150025 - 2150025. ISSN: 0219-4937

Journal article
More publications(5)