About Me
I am the Co-founder and CTO of OpenJobs AI, where I lead technological innovation in AI-driven recruitment solutions. I received my Ph.D. from Purdue University, focusing on building secure, robust, and efficient large-scale AI systems.
My research interests lie at the intersection of system design, network optimization, and security. I am passionate about solving complex problems in the following areas:
- Decentralized & Federated Learning: Resource allocation and straggler mitigation.
- Robust Machine Learning: Defending against vulnerabilities in federated systems.
- Mobile Edge Computing: Designing efficient resource-sharing schemes.
- Large-Scale Distributed Optimization: Developing efficient and robust algorithms.
- Security & Privacy in LLMs: Protecting large language models during training and application.
Experience & Education
Co-founder & CTO, OpenJobs
2024 - Present
Ph.D., Purdue University
2021 - 2024
B.S., Nanchang University
2016 - 2020
Open Source Projects
Anton
An AI-powered tool for generating personalized resumes, streamlining the job application process.
xiezhi-ai
A Python package for one-dimensional data anomaly detection.
HFL Benchmark
A benchmark for Hierarchical Federated Learning based on TensorFlow.
Blockchain-based FL
A robust framework for blockchain-based federated learning in MEC.
Selected Publications
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
IEEE Internet of Things Journal (IoTJ), 2023
Get In Touch
I'm always open to discussing new research, projects, or collaboration opportunities. My inbox is always open.
jerry.wang@openjobs-ai.com