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Ruilin Zhang

Program-specified Assistant Professor

Kyoto University

Japan

Research Interests

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Professors in Japan

About

Ruilin Zhang is a Program-specified Assistant Professor at Kyoto University in Japan. His research areas include the development of energy-efficient memory technologies, true random number generators, and bio-fuel cell applications, as evidenced by his recent articles. His publications focus on innovative designs and experimental verifications of low-power circuits and post-processing techniques in digital systems.

Articles (10)

Year:

2026

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2026

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2026

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2025

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2025

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2025

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2024

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2024

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2022

Year:

2021

Collaborators (3)

Hao Yu

Professor

Nanyang Technological University

SINGAPORE

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Kunyang Liu

Assistant Professor

Waseda University

JAPAN

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Longyang Lin

Assistant Professor

Southern University of Science and Technology (SUSTech)

CHINA

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Ruilin Zhang

Research Interests

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About

Articles (10)

A 22-nm End-to-End Edge--AI Processor With Booth-Value-Confined Acceleration and Hardware-Aware Layer-Wise Model Deployment

Frieren: A Fault-Tolerant Reconfigurable Energy-Efficient Computing Architecture With Enhanced Reliability in Harsh Environments

Entropy Improvement in Latch-Based True Random Number Generator Using Negative Bias Temperature Instability

Design and Experimental Verification of 0.9-2.6pW 0.1-0.25V 22nm 2-bit Supply-to-Digital Converter Using Always-Activated Supply-Controlled Oscillator and Supply-Dependent-Activation Buffers for Bio-Fuel-Cell-Powered-and-Sensed Time-Stamped Bio-Recording

A 0.071pJ/Bit Flexible Multi-Mode Logic-Compatible Multiple-Time Programmable (MTP) Memory-Based PUF

Design of 0.9-2.6pW 0.1-0.25V 22nm 2-bit Supply-to-Digital Converter Using Always-Activated Supply-Controlled Oscillator and Supply-Dependent-Activation Buffers for Bio-Fuel-Cell-Powered-and-Sensed Time-Stamped Bio-Recording

A 0.116 pJ/bit Latch-Based True Random Number Generator Featuring Static Inverter Selection and Noise Enhancement

De-Correlation and De-Bias Post-Processing Circuits for True Random Number Generator

A 0.186-pJ per Bit Latch-Based True Random Number Generator Featuring Mismatch Compensation and Random Noise Enhancement

Energy-Efficient Post-Processing Technique Having High Extraction Efficiency for True Random Number Generators

Collaborators (3)

Hao Yu

Kunyang Liu

Longyang Lin

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