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

1 citations · 1 across the 17 of their papers we have counts for

collaborators

19 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.HC2026

Train the Trainers -- An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments

Atmaram Yarlagadda, Eranga Bandara, Ross Gore +8

Modern military operations expose soldiers to sustained psychological stress, leading to acute reactions, post-traumatic stress symptoms, and other mental health issues. Although t…

cs.NI2026

An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading

Eranga Bandara, Ross Gore, Sachin Shetty +9

6G networks are expected to be AI-native, intent-driven, and economically programmable, requiring fundamentally new approaches to network slice orchestration. Existing slicing fram…

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.AI2025

ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications

Eranga Bandara, Amin Hass, Ross Gore +8

AI agent-based systems are becoming increasingly integral to modern software architectures, enabling autonomous decision-making, dynamic task execution, and multimodal interactions…

cs.NI2025

SRE-Llama -- Fine-Tuned Meta's Llama LLM, Federated Learning, Blockchain and NFT Enabled Site Reliability Engineering(SRE) Platform for Communication and Networking Software Services

Eranga Bandara, Safdar H. Bouk, Sachin Shetty +7

Software services are crucial for reliable communication and networking; therefore, Site Reliability Engineering (SRE) is important to ensure these systems stay reliable and perfor…

cs.CR2025

Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments

Bikash Chandra Singh, Md Jakir Hossain, Rafael Diaz +3

The rapid growth of smart devices such as phones, wearables, IoT sensors, and connected vehicles has led to an explosion of continuous time series data that offers valuable insight…

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,…

cs.CR2025

Model Context Contracts - MCP-Enabled Framework to Integrate LLMs With Blockchain Smart Contracts

Eranga Bandara, Sachin Shetty, Ravi Mukkamala +9

In recent years, blockchain has experienced widespread adoption across various industries, becoming integral to numerous enterprise applications. Concurrently, the rise of generati…

cs.CV2025

Standardization of Neuromuscular Reflex Analysis -- Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System

Eranga Bandara, Ross Gore, Sachin Shetty +9

Accurate assessment of neuromuscular reflexes, such as the H-reflex, plays a critical role in sports science, rehabilitation, and clinical neurology. Traditional analysis of H-refl…