Rate My Professor Uditha Wijewardhana

Dr. Uditha Wijewardhana serves as a Senior Lecturer in the Department of Electrical and Electronic Engineering at the University of Sri Jayewardenepura since December 2016. He holds a B.Eng. degree in Electronics and Telecommunications Engineering from the University of Moratuwa obtained in 2009, an M.Eng. degree in Information Communications Technologies from the Asian Institute of Technology in Thailand in 2011, and a Ph.D. degree in telecommunications engineering from the Centre for Wireless Communications at the University of Oulu, Finland, in 2020. His academic and research focus lies in telecommunications engineering, compressive sensing, signal processing, and cognitive radio networks.

Wijewardhana has authored numerous peer-reviewed publications in leading journals and conferences, contributing to advancements in wireless communications and signal recovery techniques. Key publications include 'A Bayesian Approach for Online Recovery of Streaming Signals from Compressive Measurements' in IEEE Transactions on Signal Processing (2017, co-authored with Marian Codreanu); 'An Interior-Point Method for Modified Total Variation Exploiting Transform-Domain Sparsity' in IEEE Signal Processing Letters (2017, with Marian Codreanu and Matti Latva-aho); 'Weighted Sum-Rate Maximization for MISO Downlink Systems with Channel Uncertainty via Worst-Case Optimization' in IEEE Transactions on Communications (2015, with Satya Joshi, Marian Codreanu, and Matti Latva-aho); and 'A Robust Beamformer Design for Underlay Cognitive Radio Networks Using Worst Case Optimization' in EURASIP Journal on Wireless Communications and Networking (2014, with Marian Codreanu, Matti Latva-aho, and Anthony Ephremides). Additional notable works encompass 'Ultra Reliable Communication via Optimum Power Allocation for Type-I ARQ in Finite Block-Length' presented at IEEE International Conference on Communications (2017, with E. Dosti, H. Alves, and Matti Latva-aho); 'Signal Recovery in Compressive Sensing via Multiple Sparsifying Bases' at Data Compression Conference (2017, with E. Belyaev, Marian Codreanu, and Matti Latva-aho); 'Bayesian Method for Image Recovery from Block Compressive Sensing' at Asilomar Conference on Signals, Systems, and Computers (2016); and more recent contributions such as 'Joint Minimization of Spectrum and Power in Impairment-Aware Elastic Optical Networks' (2021) and 'Visible Light Communication for Underwater Applications: Principles, Challenges, and Future Prospects' (2025). He supervises M.Phil. students including S. Sivanatham and N. M. Kumara.