Analyzing Opportunistic Request Routing in Wireless Cache Networks. - Jerome Dinal Herath; Anand Seetharam (ICC, 2018)

RAMP: Real-Time Anomaly Detection in Scientific Workflows. - Jerome Dinal Herath; Changxin Bai; Guanhua Yan; Ping Yang 002; Shiyong Lu (IEEE BigData, 2019)

SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance. - Dinuni K. Fernando; Siddharth Kulshrestha; Jerome Dinal Herath; Nitin Mahadik; Yanzhe Ma; Changxin Bai; Ping Yang 002; Guanhua Yan; Shiyong Lu (CIC, 2019)

A Deep Learning Model for Wireless Channel Quality Prediction. - Jerome Dinal Herath; Anand Seetharam; Arti Ramesh (ICC, 2019)

A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks. - Jerome Dinal Herath; Anand Seetharam (IEEE Trans. Veh. Technol., 2019)

DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. - Adita Kulkarni; Anand Seetharam; Arti Ramesh; Jerome Dinal Herath (IEEE Trans. Veh. Technol., 2020)

Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs. - Jerome Dinal Herath; Ping Yang 002; Guanhua Yan (CODASPY, 2021)

CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs. - Jerome Dinal Herath; Priti Prabhakar Wakodikar; Ping Yang 002; Guanhua Yan (DSN, 2022)

Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation. - Oshan Mudannayake; Disni Rathnayake; Jerome Dinal Herath; Dinuni K. Fernando; Mgnas Fernando (IEEE Access, 2022)

Virtual Machine Proactive Fault Tolerance Using Log-Based Anomaly Detection. - Pratheek Senevirathne; Samindu Cooray; Jerome Dinal Herath; Dinuni K. Fernando (IEEE Access, 2024)