Yaxiaer Yalikun

Associate Professor

Nara Institute of Science and Technology（NAIST）

Japan

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About

Yaxiaer Yalikun is an Associate Professor at the Nara Institute of Science and Technology (NAIST), Japan. His research focuses on advanced methodologies in microfluidics, imaging, and machine learning applications in various fields. Recent publications include studies on gas microbubble formation, biomarker alignment in pathology images, and emerging MEMS sensors for ocean physics.

Articles (19)

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

Collaborators (7)

David Inglis

Macquarie University

AUSTRALIA

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Shiro Suetsugu

Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Shaokoon Cheng

Macquarie University

AUSTRALIA

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Ming Li

Macquarie University

AUSTRALIA

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Lucie Semenec

Macquarie University

AUSTRALIA

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Sohei Yamada

Nara Institute of Science and Technology

JAPAN

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Amy Cain

Macquarie University

AUSTRALIA

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Yaxiaer Yalikun

Research Interests

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About

Articles (19)

Gas Microbubble Formation via Near‐Infrared Femtosecond Laser Ablation in Live Cells

MRRM: Advanced Biomarker Alignment in Multi-Staining Pathology Images via Multi-Scale Ring Rotation-Invariant Matching

Design advances in pinched flow fractionation for enhanced particle separation in microfluidics

STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection

Emerging MEMS sensors for ocean physics: Principles, materials, and applications

Hybrid Attention-Aware Transformer Network Collaborative Multiscale Feature Alignment for Building Change Detection

MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges

The Parameter Investigation of Electrical Impedance Cytometry for Droplet Measurement

Microfluidic separation and enrichment of Escherichia coli by size using viscoelastic flows

Multi-position measurable flow velocity sensor for microfluidic applications with small invasiveness

Machine learning-based impedance system for real-time recognition of antibiotic-susceptible bacteria with parallel cytometry

Guided axon outgrowth of neurons by molecular gradients generated from femtosecond laser-fabricated micro-holes

A review on intelligent impedance cytometry systems: Development, applications and advances

10 μm thick ultrathin glass sheet to realize a highly sensitive cantilever for precise cell stiffness measurement

A guided-liquid-based hybrid triboelectric nanogenerator for omnidirectional and high-performance ocean wave energy harvesting

Microsecond cell triple-sorting enabled by multiple pulse irradiation of femtosecond laser

Multiscale Integrated Temperature/Flow Velocity Sensor Patches for Microfluidic Applications

Machine learning implementation strategy in imaging and impedance flow cytometry

Identification of single yeast budding using impedance cytometry with a narrow electrode span

Collaborators (7)

David Inglis

Shiro Suetsugu

Shaokoon Cheng

Ming Li

Lucie Semenec

Sohei Yamada

Amy Cain

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