Portrait of George Chidera Akorgeorge@akor: ~/research

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George Chidera Akor

Research Engineer

I research and build trustworthy AI, smart-contract and networked systems, with an emphasis on security, verification and reproducible evaluation.

My work spans verifiable machine learning, blockchain auditability, research software and distributed systems.

Master of Engineering in IT Convergence Engineering. Incoming PhD researcher in the Networked Systems Laboratory (NSL) at Kumoh National Institute of Technology.

focus/

Research focus

  1. 01

    Trustworthy and verifiable AI

    Evaluation, reproducibility and cryptographic approaches for making model behaviour and AI-generated results more accountable.

  2. 02

    Blockchain auditability and smart-contract security

    Protocol design, provenance, authentication, testing and evidence for security-relevant blockchain systems.

  3. 03

    Research software and networked systems

    Implementing and benchmarking technical ideas in Python, Solidity and related research tooling.

research/

Selected research

Journal articleBlockchain: Research and Applications · June 2026

The Purechain Blockchain Network: Architecture, Performance, and Applications

Dong-Seong Kim, Ikechi Saviour Igboanusi, George Chidera Akor

A permissioned, EVM-compatible network whose Proof-of-Authority Association consensus replaces inactive or underperforming validators and whose Smart Auto Mining algorithm pauses mining when there is no transaction load, reported at an average above 2,300 TPS.

Conference paperICAIIC 2026 · Tokyo, Japan · February 2026

Benchmarking CNN Components in EZKL: A Layer-Level Analysis for EVM-Compatible Deployment

George Chidera Akor, Love Allen Chijioke Ahakonye, Jae Min Lee, Dong-Seong Kim

Measures proving time, memory use and deployment cost layer by layer for CNN components compiled through EZKL, to inform EVM-compatible zkML deployment.

Towards Quantization-Native Zero-Knowledge Verification for INT4 Large Language Model Inference

George Chidera Akor, Love Allen Chijioke Ahakonye, Jae Min Lee, Dong-Seong Kim

Aligns Halo2 circuits, KZG commitments and lookup tables with 4-bit transformer quantization to reduce the overhead of proving INT4 LLM inference.

Conference paperICTC 2025 · Jeju, Korea · October 2025

ProvAuditChain: A Gas-Efficient On-Chain Provenance Framework for AI-Driven Smart Contract Audits

George Chidera Akor, Love Allen Chijioke Ahakonye, Jae Min Lee, Dong-Seong Kim

Anchors cryptographically signed audit-report hashes on an L2 chain with the reports themselves on IPFS, then benchmarks gas, latency and throughput over 600 audit cycles on the Arbitrum Sepolia testnet.

about.md

About

George Chidera Akor is a research engineer working on trustworthy AI, smart-contract security, blockchain auditability and networked systems. He completed a Master of Engineering in IT Convergence Engineering at Kumoh National Institute of Technology and is preparing to begin doctoral research in the Networked Systems Laboratory.

His work combines research design, implementation and empirical evaluation. He has contributed to peer-reviewed work on verifiable machine learning, on-chain provenance, generative-agent simulation and networked systems.

Education

  1. Master of Engineering, IT Convergence Engineering

    Kumoh National Institute of Technology, Gumi-si, South Korea

    September 2024 – August 2026

    Graduate research on verifiable AI and blockchain-based auditability for smart-contract security.

  2. B.Eng, Electrical and Electronic Engineering

    Federal University of Technology, Owerri, Nigeria

    November 2016 – June 2023

    Second Class Honours (Upper Division); majored in electronics and computing.

Positions

  1. Graduate Student Researcher

    Networked Systems Laboratory, Kumoh National Institute of Technology

    October 2024 – present

    Research on automated and verifiable smart-contract auditing; contributions to the PureChain and BridgeSync research systems.

  2. Service Solutions Engineering Graduate Intern

    Huawei Technologies Nigeria Co., Ltd., Lagos

    December 2023 – September 2024

    Graduate internship (NYSC): technical support for telecommunication services, service-project coordination and technical documentation.

engagements/

Selected technical engagements

I occasionally work with researchers, engineering teams and technical founders on bounded research-engineering problems.

Research implementation and reproduction
Implement, repair or extend research code from papers, specifications and experimental designs.
Machine-learning evaluation
Audit experimental methodology, data splitting, model evaluation, baselines, reproducibility and evidence supporting technical claims.
Smart-contract testing and prototyping
Develop bounded Solidity prototypes, Foundry tests, invariant-fuzzing suites and documented static-analysis workflows.
Verifiable AI and blockchain systems
Explore feasibility and build research prototypes involving provenance, ZKML, verifiable computation and protocol accountability.

Engagements begin with a clearly defined technical question, deliverable and evidence standard.