Founder

Md Anisur Rahman Chowdhury

Cybersecurity & AI Researcher · Founder of AXZRO

Building secure, intelligent infrastructure — where cybersecurity, AI, and cloud research meet real-world engineering.

LinkedIn GitHub Google Scholar ResearchGate Portfolio

Research papers: 16Research papers
Years in industry: 7+Years in industry
Master's CGPA: 4.0Master's CGPA
Certifications: 3Certifications

Background

I'm a cybersecurity and AI researcher and the founder of AXZRO, with 7+ years of industry experience designing secure network architectures, building software in Java and Python, and operating cloud infrastructure for enterprise clients.

I'm completing my Master's of Information Technology at Gannon University (Erie, PA) with a 4.0/4.0 CGPA, where I serve as a Graduate Assistant to Dr. Kefei Wang in the Computer & Information Science Department. My research focuses on physical and cloud network infrastructure and security — serverless intelligent firewalls, zero-trust architectures, federated threat intelligence, and distributed multi-agent AI.

I've authored 16 research papers (IEEE-published and in pipeline) and ship open-source systems that turn that research into working software.

Expertise

Cybersecurity

Zero-Trust ArchitectureThreat IntelligenceNetwork SecurityFirewalls

AI & Machine Learning

LLMs & Multi-Agent SystemsFederated LearningModel TrainingRAG

Cloud & Networks

Multi-CloudServerlessEdge ComputingInfrastructure

Programming

JavaPythonJavaScriptC++PL/SQLJSON

Research & Publications

Peer-reviewed work

Towards a Serverless Intelligent Firewall: AI-Driven Security and Zero-Trust Architectures

2025 IEEE 12th Intl. Conf. on Cyber Security and Cloud Computing (CSCloud) · 2025

Published

Auction-Based Dynamic Resource Allocation for Optimized Edge Computing in Distributed Networks

2025 9th Intl. Conf. on Computational System and Information Technology (CSITSS) · 2025

Published

AI and Cloud Computing in Business Systems: A Hybrid Model for Enhancing Enterprise Resource Planning

2025 9th Intl. Conf. on Computational System and Information Technology (CSITSS) · 2025

Published

Towards a Serverless Intelligent Firewall: Integrating Cross-Cloud Adaptation, AI-Driven Security, and Zero-Trust Architectures

11th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2026) · 2026

Under Review

Federated Threat Intelligence for Multi-Cloud Security: A Privacy-Preserving AI Approach

2nd IEEE Intl. Conf. on Cognitive Computing (IC3ECSBHI-2026) · 2026

Under Review

Continuous Verification in Zero Trust Security: A Model for Secure Automation

2nd IEEE Intl. Conf. on Cognitive Computing (IC3ECSBHI-2026) · 2026

Under Review

Teaching Large Language Models to Think Twice: A Three-Stage Framework for Self-Correcting Mathematical Reasoning

CAC'26 · 2026

Under Review

Autonomous Self-Learning Serverless Intelligent Firewall: REST API Threat Intelligence, Multi-Paradigm ML, and Federated Zero-Trust

Q1 Journal (in preparation)

In Preparation

Building a Team of AI Models: A Literature Review on Distributed Agent Networks

Conference (in preparation)

In Preparation

Flagship projects

Open-source systems that turn research into working software.

CybersecurityResearch

Serverless Intelligent Firewall

Design and implementation of a serverless intelligent firewall using AI-driven security and zero-trust architectures, with documentation, code, and a demo of protecting cloud applications from cyber threats.

AI SecurityZero-TrustServerlessCloud

Code Demo

CybersecurityResearch

Cross-Cloud Intelligent Firewall

Integrates cross-cloud adaptation, AI-driven security, and zero-trust architectures to extend the serverless intelligent firewall across multiple cloud providers.

Multi-CloudZero-TrustAI Security

Code Demo

CybersecurityResearch

Autonomous Self-Learning Firewall

An autonomous self-learning serverless firewall integrating REST API-driven open-source threat intelligence, multi-paradigm machine learning, and federated zero-trust architectures that adapts to emerging threats in real time.

Threat IntelligenceFederated MLZero-TrustREST APIs

Code Demo

AI & MLLive

Distributed Multi-Agent LLM Ensemble

A local, distributed multi-agent LLM ensemble system that coordinates multiple agents to collaboratively solve complex problems across domains.

LLMsMulti-AgentDistributed Systems

Code Demo

AI & MLLive

Self-Correcting LLM Reasoning

Teaching large language models to “think twice” — a three-stage framework for self-correcting mathematical reasoning that improves accuracy and reliability of LLM problem-solving.

LLMsReasoningEvaluation

Code Demo

Data & ToolsLive

DataMentor — Notebook Studio

A reproducible framework for serverless CSV intelligence and notebook automation that streamlines data-analysis workflows in a serverless environment.

Data EngineeringServerlessAutomation

Code Demo

Work with AXZRO

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