1 citations · 1 across the 17 of their papers we have counts for
19 papers
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…
Cyber Dynamics I: Finite Macrostates for Behavioral Anomaly Detection in Network Telemetry
Abdul Rahman, Eranga Bandara, Sachin Shetty
Entropy-based methods have long been used for network anomaly detection, but most existing approaches treat entropy as a scalar statistic on narrow observables rather than as part…
Weird Machines in Transport Layer Security
Michael Collins, Jada Cumberland, Brianne Dunn +4
Weird machines are latent computational capabilities that emerge from the composition of architectural components. Prior work has studied this phenomenon extensively in software sy…
Quantifying Bitcoin Network Resilience Through Critical Scenario Discovery: A Dual-Layer Framework for Discovering Contentious Fork Conditions in Decentralized Consensus
Peter Foytik, Sachin Shetty, Ross Gore +1
Bitcoin's consensus depends not only on protocol rules but on the emergent behavior of a heterogeneous network of nodes with divergent economic stakes. Whether a contentious soft f…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Standardization of Psychiatric Diagnoses -- Role of Fine-tuned LLM Consortium and OpenAI-gpt-oss Reasoning LLM Enabled Decision Support System
Eranga Bandara, Ross Gore, Atmaram Yarlagadda +4
The diagnosis of most mental disorders, including psychiatric evaluations, primarily depends on dialogues between psychiatrists and patients. This subjective process can lead to va…
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,…
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…
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…
Proof-of-TBI -- Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction
Ross Gore, Eranga Bandara, Sachin Shetty +10
Mild Traumatic Brain Injury (TBI) detection presents significant challenges due to the subtle and often ambiguous presentation of symptoms in medical imaging, making accurate diagn…