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

Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology. - Nirhoshan Sivaroopan; Chamuditha Jayanga; Chalani Ekanayake; Hasindri Watawana; Jathurshan Pradeepkumar; Mithunjha Anandakumar; Ranga Rodrigo; Chamira U. S. Edussooriya; Dushan N. Wadduwage (CoRR, 2023)

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)

Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology. - Nirhoshan Sivaroopan; Chamuditha Jayanga Galappaththige; Chalani Ekanayake; Hasindri Watawana; Ranga Rodrigo; Chamira U. S. Edussooriya; Dushan N. Wadduwage (WACV, 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)