Summary
Overview
Work History
Education
Skills
Age
Applying for Phd Programs
Research Interests
Research
Personal Information
Interests
Timeline
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Cai YuFan

Cai YuFan

AI & Data Processing
Hirai,13

Summary

Extensive practical experience and theoretical knowledge related to AI engineering and data processing algorithms, good at combining physical phenomena with mathematical principles. With some experience in radar data processing, passionate about pursuing innovation and finding efficient solutions.

Overview

7
7
years of professional experience

Work History

FPGA-based Image Filtering Technology

NUIST
09.2017 - 09.2018
  • Streamlined workflow efficiency by implementing customized automation processes in the image processing pipeline.
  • The real-time performance of the edge detection algorithm is optimized by using the layer-by-layer acceleration feature of FPGA.

AI-based Lane Line Detection Research

NUIST
03.2019 - 03.2021
  • Adaptive Receptive Field greatly improve the detection and inference of non-significant targets with special geometric characteristics.
  • More lightweight compared to the conventional search algorithm NAS.

SAR-related Processing

Chiba University / JMRSL
10.2021 - 10.2023
  • Efficient AI-based SAR despeckling filter design.
  • Convenient pre-processing algorithm design for atmospheric errors compensation of InSAR data.
  • High-precision AI-based application of Pol-SAR data (water segmentation).
  • Research related to specific types of SAR (Inverse SAR and Noise SAR).

Circularly Polarized Noise Radar Development

Chiba University / JMRSL
10.2023 - 06.2024
  • Very high interference immunity and LPI capability.
  • Ultra-high resolution raw data with low masking effect and speckle noise.

Education

Bachelor of Engineering - Electronic and Information Engineering

Nanjing University of Information Science & Technology (NUIST)

M.E. - Remote Sensing for Geo-environmental Sciences

Chiba University

Ph.D. - Remote Sensing

Chiba University

Skills

Chinese, English and Japanese

Age

26

Applying for Phd Programs

UGM University, Doctorate of Science, Geography

Research Interests

  • Lane detection techniques
  • Topological region constraints
  • Boundary attention
  • Multi-dimensional monitoring
  • AI techniques
  • Farmland monitoring
  • Road monitoring
  • Water body monitoring
  • Building monitoring
  • Geographic data
  • SAR-Optical data matching
  • Remote sensing segmentation

Research

  • Nanjing University of Information Science & Technology (NUIST), Undergraduate Researcher, FPGA-based image filtering technology,

      [1] ZHANG Y, RUI W, CAI Y, SHEN W, "The Electricity Meter Value Image Detection System and The Comparison of Algorithms Based on FPGA," Chinese Science 

     Paper Online, 2018.

      [2] Cai, YuFan, YanYan Zhang, and ChengSheng Pan. 2021. "Lane Detection Based on Adaptive Network of Receptive Field." Security and Communication Networks    

      2021:6618459. doi: 10.1155/2021/6618459.

  • Chiba University, Master's Researcher, AI technologies in SAR image processing,

      [3] Cai, Y., and J. T. S. Sumantyo. 2021. Despeckling of Synthetic Aperture Radar Image using Deep-Learning Model. Paper presented at the 2021 7th Asia-Pacific 

       Conference on Synthetic Aperture Radar (APSAR), 1-3 Nov. 2021.

      [4] Cai, Y., and J. T. Sri Sumantyo. 2023. Polsar Despeckling Neural Network Based on Local Texture Filters. Paper presented at the IGARSS 2023 - 2023 IEEE 

      International Geoscience and Remote Sensing Symposium, 16-21 July 2023.

      [5] YuFan Cai, Josaphat Tetuko Sri Sumantyo, KeDi Chen, "Mitigation of Atmospheric Phase Screen effect in InSAR based on Complex Deep Learning Model" 信学技 

      報 IEICE Technical Committee on Space, Aeronautical and Navigational Electronics (SANE) conference and the 4th Seminar on Microwave Remote Sensing (SeMIRES   

      2021), vol. 121, no. 306, SANE2021-68, pp.29-34, 2021 年 12 月.

       [6] Ibrahim, M. H., H. Kashihara, M. A. Munandar, J. Y. Wang, Y. Izumi, J. T. S. Sumantyo, S. Pramono, and Y. Cai. 2023. Scattering Analysis of Polarimetric Inverse 

      SAR Image using Scale Model under Vegetation Canopy. Paper presented at the 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 23-27, 2023.

       [7] KeDi Chen, Josaphat Tetuko Sri Sumantyo, YuFan Cai, "LOW SIDELOBE NOISE-LFM RADAR WAVEFORM DESIGN" 日本写真測量学会令和 5 年度年次学術講演

       会論文集, JSPRS_23Spring, pp. 85-88, 2023 年 5 月.

  • Chiba University, PhD Researcher, Integration of AI technology with remote sensing images

Personal Information

Nationality: China

Interests

Fishing

Timeline

Circularly Polarized Noise Radar Development

Chiba University / JMRSL
10.2023 - 06.2024

SAR-related Processing

Chiba University / JMRSL
10.2021 - 10.2023

AI-based Lane Line Detection Research

NUIST
03.2019 - 03.2021

FPGA-based Image Filtering Technology

NUIST
09.2017 - 09.2018

Bachelor of Engineering - Electronic and Information Engineering

Nanjing University of Information Science & Technology (NUIST)

M.E. - Remote Sensing for Geo-environmental Sciences

Chiba University

Ph.D. - Remote Sensing

Chiba University
Cai YuFanAI & Data Processing