Riaz-ul-haque Mian

Assistant Professor

Shimane University

Japan

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About

Riaz-ul-haque Mian is an Assistant Professor at Shimane University in Japan. His research focuses on advanced techniques in Gaussian Process Regression, wafer-level modeling, and data-driven spatial analysis. He has contributed significantly to fields such as FPGA delay analysis, efficient semi-supervised learning, and hardware-software co-design methodologies.

Articles (8)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2021

Year:

2021

Collaborators (1)

Michiko Inoue

Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Riaz-ul-haque Mian

Research Interests

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Articles (8)

Enhanced Detection of Recycled FPGAs Using Gaussian Process Regression with LHS and Active Sampling

Custom-Adaptive Kernel Strategies for Gaussian Process Regression in Wafer-Level Modeling and FPGA Delay Analysis

Data-Driven Spatial Analysis: A Multi-Stage Framework to Enhance Temporary Event Space Attractiveness

Data-Driven Spatial Analysis: A Multi-Stage Framework to Enhance Temporary Event Space Attractiveness

Efficient Wafer-Level Spatial Variation Modeling for Multi-Site RF IC Testing

Hierarchical Active Learning for Efficient Semi-Supervised Seagrass Image Classification

Hardware–Software Co-Design for Decimal Multiplication

Hardware-Software Co-Design for Decimal Multiplication

Collaborators (1)

Michiko Inoue

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