Lab Projects
Quantum-Resilient Cryptographic Systems
This project develops advanced cryptographic protocols designed to withstand attacks from emerging quantum computers. It focuses on secure communication, blockchain integrity, and digital identity protection through quantum-resistant algorithms, efficient key management, and lightweight security mechanisms suitable for real-world public and enterprise systems.
Federated Learning for Public Systems
This project designs privacy-preserving, decentralized AI models for public-sector environments. By enabling collaborative model training without sharing raw data, it supports secure analytics for healthcare, smart cities, financial oversight, and education systems while ensuring regulatory compliance and ethical AI deployment.
AI Governance & Risk Analytics
This project focuses on frameworks and analytical tools for responsible AI adoption. It addresses risk assessment, bias detection, regulatory alignment, and decision transparency through monitoring dashboards and audit-ready reporting, enabling organizations to deploy AI systems that are trustworthy, accountable, and socially responsible.
Selected Institutional Projects & Research Outputs (Prior & Parallel Works)
The following projects were conducted under the Cybersecurity Centre of Excellence (CCoE), UEM Kolkata, and are presented here solely to demonstrate the Founder’s prior research and leadership experience.
Applied Systems & Platforms
Creaboost
Blockchain-based incentivized federated learning dApp for ad preference modeling, enabling privacy-preserving analytics and fair reward distribution.
View Project →Arbitrader
Smart arbitrage assistant for stock and crypto markets on the XDC Network, supporting automated opportunity detection and execution intelligence.
View Project →Blocksight Monitor
Cross-chain blockchain node health and performance monitoring tool providing real-time diagnostics, uptime analytics, and reliability insights.
Project Page (Hosted under Cybersecurity Centre of Excellence) →White Papers & Research Publications
XDC Gasless Subnet: Gasless Subnet Staking dApp for XDC Network
Design and economic modeling of gasless enterprise subnets leveraging staking and meta-transaction mechanisms.
Read White Paper →Meta-Transactions as a Scalable and Optimal Solution in Public Blockchains
Springer-published research addressing scalable, user-centric transaction abstraction for blockchain adoption.
View Publication →A Decentralized Application for Secure Authentication and Communication in Industry 4.0 Networks
Springer published Scopus Indexed article on decentralized application (DApp) for stakeholders of the IoP.
View Publication →DEChain: Private Blockchain-Based Digital Evidence Management System
Springer-published research addressing Private Blockchain-enabled Digital Evidence Management System using Hyperledger Fabric and Composer to aid the activities of Law and Enforcement department.
View Publication →Some projects and research outputs are available under collaboration, consultancy, or restricted research access.
Disclosure & Institutional Independence
A-CiL undertakes research, consulting, and development activities in collaboration with academic institutions, public bodies, Centres of Excellence, and industry partners.
Certain projects, tools, and platforms referenced on this website may be hosted, operated, or disseminated under partner institutions or external organizational frameworks. Such hosting arrangements do not affect the scientific independence, intellectual contributions, or research integrity of the Lab.
Projects conducted under the Cybersecurity Centre of Excellence (CCoE), UEM Kolkata, are institutionally owned and governed by the University. A-CiL is an independent entity and do not claim ownership of, or operational control over, these institutional projects unless explicitly stated through formal agreements such as Memoranda of Understanding (MoUs).
Any individual consultancy, independent research, or personally developed applications by the Lab Founder are clearly distinguished and referenced separately to maintain transparency, ethical compliance, and institutional neutrality.