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DeepGI Lab | Deep General Intelligence Lab

International distributed research organization founded in Bangladesh in 2022. Our team operates remotely across the USA, Bangladesh, and Australia, pursuing cutting-edge research in deep learning and blockchain to build secure, scalable systems for democratic participation and critical infrastructure.

About DeepGI Lab

Since 2022, under the leadership of Partho Ghose, the DeepGI: Deep General Intelligence Lab has been pursuing cutting-edge research in deep learning and blockchain to build secure, scalable systems for democratic participation and critical infrastructure. We develop hybrid blockchain architectures, AI-driven voting protected by post-quantum security, and machine-learning tools for fraud detection and resource allocation.

Core Research Areas

  • Post-Quantum Cryptography
  • Blockchain E-Voting Systems
  • Medical AI and Computer Vision
  • Deep Learning for Healthcare
  • Federated Learning
  • Multi-Agent Systems
  • Decentralized Networks

The Lab Team

Partho Ghose - Lab Head

Graduate Research Assistant at Texas A&M University (Biological & Agricultural Engineering). Former Lecturer at BUBT. Focuses on AI in Healthcare and Agriculture.

Affiliation: Texas A&M University (Ph.D. Candidate)

Skills: Deep Learning, Medical Imaging, Computer Vision, Machine Learning

Sohel Ahmed Joni - Research Associate

Specializes in secure, decentralized systems. Lead author on HAC-Bchain and Grainbee. Researcher in post-quantum cryptography and consensus mechanisms.

Affiliation: Bangladesh University of Business and Technology

Skills: Blockchain, Post-Quantum Cryptography, Decentralized Systems, LLM, Reinforcement Learning

Nishat Tasnin - Research Associate

Award-winning researcher (Best Paper, IEEE COMPAS 2024). Focuses on data sharding strategies and deep learning optimization for voting and healthcare.

Affiliation: Bangladesh University of Business and Technology

Skills: Data Analysis, Machine Learning, Python, Feature Engineering

Rabiul Rahat - Research Associate

Researcher in blockchain security and post-quantum cryptography. Key contributor to HAC-Bchain, Grainbee, and post-quantum e-voting systems.

Affiliation: Bangladesh University of Business and Technology

Skills: Blockchain, Cryptography, Quantum Security, NLP, Federated Learning

Selected Publications

A blockchain model for ensuring privacy, trust, and dependability of electronic voting systems

Authors: Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose, Hasan Jamil

Published in: Knowledge and Information Systems, 2026

DOI: 10.1007/s10115-026-02693-6

Towards secure democracy: a hybrid blockchain-enabled secure and scalable e-voting system with sharding and post-quantum cryptography

Authors: Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose

Published in: International Journal of System Assurance Engineering and Management, 2025

DOI: 10.1007/s13198-025-02927-w

Grainbee: A Quantum-Resistant Blockchain-Based Ration Distribution System with Hardware Security Modules

Authors: Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose, M. Rashid

Published in: IEEE COMPAS 2024 (Best Paper Award)

DOI: 10.1109/COMPAS60761.2024.10796594

Hybrid-Blockchain-Based Electronic Voting Machine System Embedded with Deepface, Sharding, and Post-Quantum Techniques

Authors: Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose, MA Uddin, J Ayoade

Published in: MDPI Blockchains, 2024

DOI: 10.3390/blockchains2040017

HAC-Bchain: A Secure and Scalable Blockchain-Shard Based E-Voting System

Authors: Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose, L Gaur

Published in: IEEE TEMSCON-ASPAC, 2023

DOI: 10.1109/TEMSCON-ASPAC59527.2023.10531344

An Effective Combination of Deep and Machine Learning Models for Monkeypox Detection

Authors: Partho Ghose, M Biswas, Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin

Published in: TEHI 2024

DOI: 10.1007/978-981-97-3937-0_3

MultKAN-Nash: Strategic Multi-Agent Disaster Response using MultKAN and Nash Equilibriums

Authors: Sohel Ahmed Joni, Nishat Tasnin, Sorna Das, Ahmed Shafkat, Samin Yasar, Bijon Mallik

Published in: Engrxiv Preprint, 2025

DOI: 10.31224/6079

Research Projects

HAC-Bchain E-Voting

A secure and scalable blockchain-shard based e-voting system. Implements Hierarchical Authoritative Consensus (HAC) and ZK-proofs to balance transparency with voter privacy.

Technologies: Go, Flutter, LevelDB, ZK-Proofs, Gin

Status: Published

Grainbee

A Quantum-Resistant Blockchain-Based Ration Distribution System with Hardware Security Modules. Designed to prevent corruption in food subsidy programs.

Technologies: Hyperledger Fabric, Flutter, Go, HSM

Status: Published

Multi-Spectral RTR

Hybrid ConvNeXt–Swin Transformer for Multi-Band Radar Cross-Section Classification with 92% validation accuracy.

Technologies: PyTorch, Swin Transformer, ConvNeXt, HFSS

Status: Ongoing

Monkeypox Detection System

Annotated 2,000+ dermatographic images. Implemented transfer learning pipeline with ResNet-50, VGG-16, and MobileNet for high-accuracy disease classification.

Technologies: PyTorch, CNN, Transfer Learning

Status: Published

MultKAN-Nash

A strategic multi-agent disaster response system leveraging MultKAN architecture and Nash Equilibrium game theory for optimal resource allocation during emergencies.

Technologies: Python, Multi-Agent Systems, Game Theory, KAN

Status: Published

MediKAN

AI framework integrating LLMs with Kolmogorov-Arnold Networks (KANs) for medical guidance and personalized physician recommendations. Achieves 96% accuracy in physician quality prediction.

Technologies: Python, KAN, LLM, RAG, GEMMA

Status: Ongoing

Contact DeepGI Lab

Email: deepgilab@gmail.com

Director Email: parthoghosh92@gmail.com

Location: Mirpur Road, Rupnagar, Dhaka 1216, Bangladesh

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