Scholar
Peng Wu
Google Scholar ID: uh14vcAAAAAJ
PhD in Northeastern University
Citations & Impact
Citations
368
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Proposed a Bayesian Federated Learning Framework, which enhances FL by leveraging the benefits of Bayesian inference; designed a Robust Bayesian Data Fusion Framework, optimizing fusion accuracy while honoring privacy constraints; published a detailed analysis of shared priors impact in Transactions on Signal Processing, extending our understanding of distributed frameworks under a Bayesian lens.
Research Experience
- Currently a postdoctoral researcher at Northeastern University, working with Professor Mahdi Imani. Prior to this, conducted doctoral research at Northeastern University, focusing on Bayesian data fusion in Federated Learning, developing WiFi fingerprint-based solutions for indoor positioning and tracking, and enhancing GNSS signal processing to mitigate the risks of spoofing and jamming. Co-founded a startup as Chief Scientist, Cactivate, an AI-driven platform that optimizes and automates online advertising.
Education
- Ph.D. in Electrical Engineering at Northeastern University, under the guidance of Professor Pau Closas. Doctoral work concentrated on advanced deep learning and Bayesian methods within Federated Learning, particularly applied to indoor positioning, Global Navigation Satellite Systems (GNSS), and image processing.
Background
- A sci-fi fan, a researcher. Currently a postdoctoral researcher at Northeastern University working with Professor Mahdi Imani. Research focuses on Mixed Reality attacks, Multi-Agent/Robot collaboration, and more, with an emphasis on security, privacy, and trustworthiness. This work intertwines concepts from machine learning, reinforcement learning, and federated learning to address complex challenges in these domains.
Miscellany
- Personal interests include science fiction.
Co-authors