Spatial Feature Reduction in Long-term EEG for Patient-specific Epileptic Seizure Event Detection. - Nipun Dilesh Perera; Chamara Madarasingha; Anjula C. De Silva (ICSPS, 2017)

SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Kwon Nung Choi; Achintha Wijesinghe; Chamara Manoj Madarasingha Kattadige; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (LCN, 2020)

VASTile: Viewport Adaptive Scalable 360-Degree Video Frame Tiling. - Chamara Madarasingha; Kanchana Thilakarathna (ACM Multimedia, 2021)

Viewport-aware dynamic 360° video segment categorization. - Amaya Dharmasiri; Chamara Kattadige; Vincent Zhang; Kanchana Thilakarathna (NOSSDAV, 2021)

360NorVic: 360-degree video classification from mobile encrypted video traffic. - Chamara Kattadige; Aravindh Raman; Kanchana Thilakarathna; Andra Lutu; Diego Perino (NOSSDAV, 2021)

PhD Forum: Encrypted Traffic Analysis & Content Awareness of 360-Degree Video Streaming Optimization. - Chamara Kattadige (WOWMOM, 2021)

VideoTrain: A Generative Adversarial Framework for Synthetic Video Traffic Generation. - Chamara Kattadige; Shashika Ranga Muramudalige; Kwon Nung Choi; Guillaume Jourjon; Haonan Wang; Anura P. Jayasumana; Kanchana Thilakarathna (WOWMOM, 2021)

VAD360: Viewport Aware Dynamic 360-Degree Video Frame Tiling. - Chamara Kattadige; Kanchana Thilakarathna (CoRR, 2021)

SETA++: Real-Time Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Chamara Kattadige; Kwon Nung Choi; Achintha Wijesinghe; Arpit Nama; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (IEEE Trans. Netw. Serv. Manag., 2021)

Edge assisted frame interpolation and super resolution for efficient 360-degree video delivery. - Chamara Madarasingha; Kanchana Thilakarathna (MobiCom, 2022)

OpCASH: Optimized Utilization of MEC Cache for 360-Degree Video Streaming with Dynamic Tiling. - Chamara Madarasingha; Kanchana Thilakarathna; Albert Y. Zomaya (PerCom, 2022)

VideoTrain++: GAN-based adaptive framework for synthetic video traffic generation. - Chamara Madarasingha; Shashika Ranga Muramudalige; Guillaume Jourjon; Anura P. Jayasumana; Kanchana Thilakarathna (Comput. Networks, 2022)

SyNIG: Synthetic Network Traffic Generation through Time Series Imaging. - Nirhoshan Sivaroopan; Chamara Madarasingha; Shashika Muramudalige; Guillaume Jourjon; Anura P. Jayasumana; Kanchana Thilakarathna (LCN, 2023)

DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction. - Yanlong Li; Chamara Madarasingha; Kanchana Thilakarathna (ECCV (46), 2024)

Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Aruna Seneviratne; Phil Ridley (SIGCOMM (Posters and Demos), 2024)

NetDiffus: Network traffic generation by diffusion models through time-series imaging. - Nirhoshan Sivaroopan; Dumindu Bandara; Chamara Madarasingha; Guillaume Jourjon; Anura P. Jayasumana; Kanchana Thilakarathna (Comput. Networks, 2024)

Demo: P4 Based In-network ML with Federated Learning to Secure and Slice IoT Networks. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Albert Y. Zomaya; Aruna Seneviratne; Phil Ridley (WoWMoM, 2025)

Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting. - Chamara Madarasingha; Nasrin Sohrabi; Zahir Tari (CoRR, 2025)

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning. - Nirhoshan Sivaroopan; Kaushitha Silva; Chamara Madarasingha; Thilini Dahanayaka; Guillaume Jourjon; Anura P. Jayasumana; Kanchana Thilakarathna (CoRR, 2025)