most citedA Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AI2026

BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines

Eranga Bandara, Xueping Liang, Asanga Gunaratna +19

DNA sequencing pipelines, spanning quality control, alignment, variant calling, and annotation, are now reliably executed by workflow management systems that orchestrate establishe…

cs.AI2026

Human-AI Agent Interaction as a Neuroplastic Training Environment

Eranga Bandara, Ross Gore, Asanga Gunaratna +17

Interaction with AI agents has become one of the most frequent activities of everyday digital life. Whether conversing with an assistant, working with a coding copilot, or generati…

cs.AI2026

Towards an Agent-First Web: Redesigning the Web for AI Agents

Eranga Bandara, Ross Gore, Ravi Mukkamala +18

The World Wide Web was built on an assumption held for three decades: the primary consumer of web content is a human being. This permeates every layer; its access model presumes hu…

cs.AI2026

MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder

Eranga Bandara, Ross Gore, Asanga Gunaratna +16

Post-Traumatic Stress Disorder (PTSD) is fundamentally a neuroplastic problem traumatic contact events encode over-reactive neural pathways through Hebbian long-term potentiation,…

cs.AI2026

Think Before You Act -- A Neurocognitive Governance Model for Autonomous AI Agents

Eranga Bandara, Ross Gore, Asanga Gunaratna +12

The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance gap. Existing approaches, runtime…

cs.AI2026

Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support

Eranga Bandara, Asanga Gunaratna, Ross Gore +9

Privacy represents one of the most critical yet underaddressed barriers to AI adoption in mental healthcare -- particularly in high-sensitivity operational environments such as mil…

cs.AI2026

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains

Eranga Bandara, Ross Gore, Sachin Shetty +15

Retail supply chain operations in supermarket chains involve continuous, high-volume manual workflows spanning demand forecasting, procurement, supplier coordination, and inventory…

cs.AI2026

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments

Eranga Bandara, Asanga Gunaratna, Ross Gore +11

The accelerating adoption of large language models, retrieval-augmented generation pipelines, and multi-agent AI workflows has created a structural governance crisis. Organizations…

cs.CY2026

A Practical Guide to Agentic AI Transition in Organizations

Eranga Bandara, Ross Gore, Sachin Shetty +14

Agentic AI represents a significant shift in how intelligence is applied within organizations, moving beyond AI-assisted tools toward autonomous systems capable of reasoning, decis…

cs.AI2025

Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning

Eranga Bandara, Tharaka Hewa, Ross Gore +12

Agentic AI represents a major shift in how autonomous systems reason, plan, and execute multi-step tasks through the coordination of Large Language Models (LLMs), Vision Language M…

cs.AI2025★ 1 cited

A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows

Eranga Bandara, Ross Gore, Peter Foytik +11

Agentic AI marks a major shift in how autonomous systems reason, plan, and execute multi-step tasks. Unlike traditional single model prompting, agentic workflows integrate multiple…

cs.SE2025

Agentsway -- Software Development Methodology for AI Agents-based Teams

Eranga Bandara, Ross Gore, Xueping Liang +12

The emergence of Agentic AI is fundamentally transforming how software is designed, developed, and maintained. Traditional software development methodologies such as Agile, Kanban,…