privacy preserving techniques

Integrated Photonic Platform for the Edge: Accelerated Computing and Low-Latency Authentication

Zhican Zhou, Ph.D. Student, Electrical and Computer Engineering

Jul 8, 16:00 - 17:30

B4 R5209

photonic computing unit integrated photonics neural network QD laser accelerators low-latency architecture privacy preserving techniques

This dissertation develops integrated photonics as a unified hardware platform for parallel computing and chaos-driven dynamic authentication.

Bushra Bin Hemid

M.S. Student

artificial intelligence machine learning information security privacy preserving techniques

MSc/PhD candidate in Artificial Intelligence at KAUST. Expertise in AI and information security. Research focuses on AI for infrared imaging, transforming sensing technologies for healthcare, agriculture, and smart infrastructure

DePIN: From Decentralization Promise to Security Reality - A Critical Dissection of Trust, Privacy, and Architectural Illusions

Roberto Di Pietro, Professor, Computer Science

Apr 6, 12:00 - 13:00

B9 R2325

privacy preserving techniques cybersecurity Web and Network security DePIN Decentralized Physical Infrastructure Networks VPNs dVPNs computer networking decentralized infrastructure systems

In this talk, we critically examine DePIN systems through the lens of two complementary studies. First, we provide a systematic analysis of the DePIN paradigm, identifying its core architectural pillars - blockchain, IoT, and tokenomics - and exposing fundamental vulnerabilities arising from operating in a zero-trust, open-participation environment.

Zhican Zhou

Ph.D. Student, Electrical and Computer Engineering

photonic computing unit integrated photonics neural network QD laser accelerators low-latency architecture privacy preserving techniques

Zhican Zhou's research investigates on-chip laser technologies, heterogeneous photonic/memristor computing systems for AI acceleration, and secure hardware architectures for privacy-preserving data processing.

Roberto Di Pietro

Professor, Computer Science

cybersecurity Critical Infrastructure Protection Distributed Systems Security On-line Social Networks privacy preserving techniques

Professor Di Pietro is a cybersecurity expert who excels in building and leading research and innovation labs in the private sector, government and academia. He works on critical infrastructure protection, adopting an artificial intelligence-driven approach in collaboration with major stakeholders.