• B.S. in Mathematics, University of Sri Jayewardenepura (Sri Lanka, 2009)
• M.S. in Mathematics, Tennessee Tech University (2013)
• Ph.D. in Mathematics, University of Kentucky (2020)

I joined as an assistant professor in the Department of Mathematics at Tennessee Tech University in 2022.  My research interests lie in Machine learning/Deep learning applications focusing on Recurrent Neural Networks (RNN) and other networks. I was focusing on hyperparameter optimization in machine learning/deep learning for computer vision applications, during my postdoctoral research at the University of Notre Dame. I completed my Ph.D. at the University of Kentucky in 2020, with a focus on understanding and exploiting unitary and symmetric structures in deep neural networks. When I am not working, I enjoy spending time with my family. 

Publications:

• Maduranga, K.D.G., Zadorozhnyy, V. and Ye, Q. (2022) Symmetry-structured convolutional neural networks - neural computing and applications, SpringerLink. Springer London. Available at: https://link.springer.com/article/10.1007/s00521-022-08168-3.
• Maduranga, K. D. G., Helfrich, K., and Ye, Q. (2018). Complex unitary recurrent neural networks using scaled cayley transform. In Proceedings of AAAI 2019. https://doi.org/10.1609/aaai.v33i01.33014528
• Maduranga, K.D. G. and R. Ablamowicz: Representations and characters of Salin-garos vee groups of low order, Bull. Soc. Sci. Lettres Lodz Ser. Rech. Deform. 66(1) (2016), 4375

‪Kehelwala Dewage Gayan Maduranga - ‪Google Scholar 

Gayan225 (Kehelwala Dewage Gayan Maduranga) (github.com)