K.T. Yasas Mahima

PhD Candidate at UNSW Canberra


Publications | K.T. Yasas Mahima

Publications

2024 - Present

Ramindu Walgama, K.T.Y. Mahima. “FL-CycleGAN: Enhancing Mobile Photography with Federated Learning-Enabled CycleGAN” MERCon 2024 [Submitted]

K.T.Y. Mahima, Asanka Perera, Sreenatha Anavatti, Matt Garratt. “3DR-DIFF: Blind Diffusion Inpainting for 3D Point Cloud Reconstruction.” IROS 2024 [Submitted]

2023 - 2024

K.T.Y. Mahima, Asanka Perera, Sreenatha Anavatti, Matt Garratt. “Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving” MDPI Sensors: Special Issue Multi-Modal Sensor Fusion and 3D LiDARs for Vehicle Applications (doi: 10.3390/s23239579)

K.T.Y. Mahima, Asanka Perera, Sreenatha Anavatti, Matt Garratt. “Towards Robust 3D Perception for Autonomous Vehicles: A Review of Adversarial Attacks and Countermeasures” IEEE Transactions on Intelligent Transportation Systems (T-ITS) [Submitted]

Qianyao Shen, K.T.Y. Mahima, Kasun De Zoysa, Markus Flierl, Luca Mottola, and Thiemo Voigt. “CNN-Based Estimation of Water Depth from Multispectral Drone Imagery for Mosquito Control.” IEEE International Conference on Image Processing (ICIP) [Accepted]

Ashmari Pramodya, K.T.Y. Mahima, Randil Pushpananda, Ruvan Weerasinghe. “Exploring Low-resource Neural Machine Translation for Sinhala-Tamil Language Pair.” 24th Annual Conference of The European Association for Machine Translation (EAMT) [Submitted]

Damitha Sandaruwan, N.D.Kodikara, Piyumi Radeeshani, K.T.Y. Mahima, Chathura Suduwella, Sachintha Pitigala, Mangalika Jayasundara. “User Perceive Realism of Machine Learning-based Drone Dynamic Simulator.” International Journal of Advanced Computer Science and Applications (2023) 14. 884. (doi: 10.14569/IJACSA.2023.0140196)

2022 - 2023

K.T.Y. Mahima, Malith Weerasekara, Kasun De Zoysa, Markus Flierl, Luca Mottola, and Thiemo Voigt. “MM4Drone - A Multispectral Image and MmWave Radar Approach for Identifying Mosquito Breeding Grounds via Aerial Drones.” 16th EAI International Conference on Pervasive Computing Technologies for Healthcare (2022) [bibtex]

K.T.Y. Mahima, Malith Weerasekara, Kasun De Zoysa, Markus Flierl, Luca Mottola, and Thiemo Voigt. “Poster : Fighting Dengue Fever with Aerial Drones.” International Conference on Embedded Wireless Systems and Networks (EWSN) (2022)

K.T.Y. Mahima. “ATERT : A General Defense Framework for Defending against Adversarial Attacks and Physical World Adversaries on Autonomous Driving.” (2022) (doi: 10.13140/RG.2.2.10383.05286)

K.T.Y. Mahima, Mohamed Ayoob and Guhanathan Poravi. “An Assessment of Robustness for Adversarial Attacks and Physical Distortions on Image Classification using Explainable AI.” AI-Cybersec@SGAI (2022)

2021 - 2022

K.T.Y. Mahima, Mohamed Ayoob and Guhanathan Poravi. “Adversarial Attacks and Defense Technologies on Autonomous Vehicles: A Review.” Applied Computer Systems 26 (2021): 96 - 106 (doi: 10.2478/acss-2021-0012)

K.T.Y. Mahima and T.N.D.S.Ginige. “An Emotion Recognition Based Assistant for Vehicles.” 2021 International Conference on Computer Communication and Artificial Intelligence (CCAI) (2021): 1-5 (doi: 10.1109/CCAI50917.2021.9447450)

K.T.Y. Mahima, T.N.D.S.Ginige and Kasun De Zoysa. “Evaluation of Sentiment Analysis based on AutoML and Traditional Approaches.” International Journal of Advanced Computer Science and Applications 12 (2021): n. pag (doi: 10.14569/IJACSA.2021.0120277)

K.T.Y. Mahima, R. A. B. Abeygunawardana and T.N.D.S.Ginige. “Dynamic Traffic Light Controlling System Using Google Maps and IoT.” 2020 From Innovation to Impact (FITI) 1 (2020): 1-5 (doi: 10.1109/FITI52050.2020.9424870)

2020 - 2021

K.T.Y. Mahima and T.N.D.S.Ginige. “Graph and Natural Language Processing Based Recom- mendation System for Choosing Machine Learning Algorithms.” 2020 12th International Conference on Advanced Infocomm Technology (ICAIT) (2020): 119-123 (doi: 10.1109/ICAIT51223.2020.9315570)

K.T.Y. Mahima and T.N.D.S.Ginige. “A Secured Healthcare System Using Blockchain and Graph Theory.” Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control (2020): n. pag (doi: 10.1145/3440084.3441217)

Manuscripts In Preparation

Bandara, Arosha, Danny Barthaud, Jacob Blamey, K.T.Y. Mahima, Gavin Moir, Bashar Nu- seibeh, Blaine Price, Anthony Rushton, Yijun Yu, and Andrea Zisman. An extended version of the paper entitled : “LiveBox: A Self-Adaptive Forensic-Ready Service for Drones”. IEEE Computer