research
Machine LearningDeep LearningArtificial Intelligence

Research

Welcome to my research page.

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Reasearch Interests

My research has always revolved around the topics of machine learning (ML) and deep learning (DL), covering the application of ML algorithms in diverse domains. Specifically, I focus on the application of game theory to model advanced ML problems and determine optimal strategies.

I hold a profound interest in neural networks, particularly in their applications within the commercial realm. Additionally, I derive great joy from exploring the fascinating field of natural language processing, which offers a multitude of possibilities for enhancing human-computer interactions and extracting valuable insights from textual data.

Nowadays, my research interest heavily lies in Generative AI, with a much greater focus on Generative Adversarial Networks (GANs) & Generative Pre-Trained Transformers (GPTs).

Moreover, I have found immense fascination in cloud computing due to its computational power, enabling me to test and verify computationally complex ML/DL algorithms effectively.

Previously, I had the opportunity to work as a research assistant in the MPACT research Lab at the Department of Electrical & Computer Engineering, Florida International University, USA, under the supervision of Professor. Ismail Guvenc. I dedicated approximately 1 year to this role, where my focus was on the application of reinforcement learning and game theory for spectrum sharing, particularly in the context of LTE in Unlicensed Spectrum.

Before my time as a research assistant in the MPACT research Lab, I had the opportunity to conduct research as an undergraduate student in the field of "V2X communications." This research was conducted in association with the Department of Electronic & Telecommunications Engineering at the University of Moratuwa, Sri Lanka. There I designed a virtual traffic light control algorithm that can dynamically optimize the flow of traffic in road intersections using IEEE 802.11p/1609.x as the standards for the V2V data dissemination.

You can find some of my publications below.

"Our Intelligence is what makes us human, and AI is an extension of that quality." — Yann LeCun

Publications


Conference Papers

  1. D. Athukoralage, I. Guvenc, W. Saad, and M. Bennis. "Regret based learning for UAV assisted LTE-U/WiFi public safety networks." in IEEE Global Communications Conference (GLOBECOM), pp. 1-7, 2016. [PDF]

Thesis/Dissertation

  1. D. Athukoralage, "IEEE WAVE (802.11P/1609.X) based adaptive traffic control system for a four way junction using vehicle to vehicle (V2V) communication." in B.Sc. Dissertation, University of Moratuwa, April 2013. [PDF]