Nishat Tasnin
Research Associate
Bangladesh University of Business and Technology
About
Award-winning researcher (Best Paper, IEEE COMPAS 2024). Focuses on data sharding strategies and deep learning optimization for voting and healthcare.
Research Interests
Data Analysis • Machine Learning • Python • Feature Engineering
Publications
Knowledge and Information Systems · 2026
A blockchain model for ensuring privacy, trust, and dependability of electronic voting systems
Proposes PQSHAC, a post-quantum secured hybrid consensus mechanism with optimized sharding for scalable e-voting. Achieves ~106 blocks/s throughput and 60% storage reduction via modular ledger architecture.
International Journal of System Assurance Engineering and Management · 2025
Towards secure democracy: a hybrid blockchain-enabled secure and scalable e-voting system with sharding and post-quantum cryptography
Proposes a system resisting quantum computing attacks while solving scalability issues using sharding.
Engrxiv Preprint · 2025
MultKAN-Nash: Strategic Multi-Agent Disaster Response using MultKAN and Nash Equilibriums
A strategic multi-agent disaster response system leveraging MultKAN architecture and Nash Equilibrium game theory for optimal resource allocation during emergencies.
IEEE COMPAS · 2024
Grainbee: A Quantum-Resistant Blockchain-Based Ration Distribution System with Hardware Security Modules
Prevents corruption in food subsidy programs using raft-consensus permissioned blockchain and HSMs.
+4 more publications — view all on Publications page