Han Wang (王瀚)  

My Research Interests include Integrated Photonics, Optical Frequency Combs, Optical Microscopy, Computational Imaging and Biosensors. In particular I want to use hardware (novel light sources and detectors, e.g., optical frequency combs and single-photon avalanche diodes, as well as photonic integrated circuits) and software (optimization algorithms and physical or mathematical methods) for optical imaging to improve its certain performance (such as resolution or depth, 3D reconstruction, miniaturization or data capturing time).

I received my M.E. in Optical Engineering from Nanjing University in 2021. Under the guidance of Prof. Xiaoshun Jiang and Dr. Shulin Ding, I mainly focused on generation and applications of microcomb, a novel chip-scale optical frequency comb consisting of a series of equally spaced frequency lines.

I received my B.E. in Optoelectronic Instrument from Harbin Institute of Technology in 2018. During my undergrad, I was fortunate to be advised by Prof. Weibo Wang, Prof. Jian Liu and Dr. He Zhang. I mainly focused on computational imaging and confocal microscopy.

I also was a technical research intern at Tencent AI Lab in 2021. During my internship, I was fortunate to work with Dr. Jun Liao and Dr. Jianhua Yao. I built multispectral imaging systems and analyzed these multispectral images using supervised classification methods.

CV  /  Google Scholar  /  GitHub  / 

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                  Email:
                  wanghan9603@gmail.com
Publications [Full List]       (*: Equal Contributions)
Dual-mode near-infrared multispectral imaging system equipped with deep learning models improves the identification of cancer foci in breast cancer specimens
Jun Liao*, Lingling Zhang*, Han Wang, Ziqi Bai, Meng Zhang, Dandan Han, Zhanli Jia, Yao Liu, Chenchen Qin, Shuyao Niu, Hong Bu, Jianhua Yao, Yueping Liu
submitted, 2022

We developed a dual-mode near-infrared multispectral imaging system combining with artificial intelligence (U-Net) to help pathologists find the tumor area. .

Near-infrared II hyperspectral imaging improves the accuracy of pathological sampling of multiple cancer types
Lingling Zhang*, Jun Liao*, Han Wang, Meng Zhang, Yao Liu, Cheng Jiang, Dandan Han, Zhanli Jia, Chenchen Qin, Shuyao Niu, Hong Bu, Jianhua Yao, Yueping Liu
Laboratory Investigation, 2023
free access before 23/09/2023  /  medRxiv version  / 

We develope a hyperspectral imaging method to capture and analyze reflection images at near-infrared band, in order to assist specimen sampling. .

High dynamic range dual-modal white light imaging system improves the accuracy of tumor bed sampling after neoadjuvant therapy for breast cancer
Meng Zhang*, Jun Liao*, Zhanli Jia, Chenchen Qin, Lingling Zhang, Han Wang, Yao Liu, Cheng Jiang, Mengxue Han, Jinze Li, Kun Wang, Xinran Wang, Hong Bu, Jianhua Yao, Yueping Liu
American Journal of Clinical Pathology, 2023

We develope a high dynamic range dual-mode white light imaging system to capture anti-glare reflection and high dynamic range transmission images, in order to assist specimen sampling.

Deep learning-based single-shot autofocus method for digital microscopy
Jun Liao, Xu Chen, Ge Ding, Pei Dong, Hu Ye, Han Wang, Yongbing Zhang, and Jianhua Yao
Biomedical Optics Express, 2022

we propose a deep learning-based single-shot autofocus method for microscopy, and a specific scheme of autofocus microscope using the autofocus network and the liquid tunable lens.

Dry-etched ultrahigh-Q silica microdisk resonators on a silicon chip
Jiaxin Gu, Jie Liu, Ziqi Bai, Han Wang, Xinyu Cheng, Guanyu Li, Menghua Zhang, Xinxin Li, Qi Shi, Min Xiao, Xiaoshun Jiang
Photonics Research, 2021

We demonstrate a dry-etched optical microresonator with an intrinsic Q factor as high as 1.94 × 108 from a 1-mm-diameter silica microdisk with a thickness of 4 μm.

Selected Projects [Brief Introduction]
04.2021-01.2022: Conducted research on Multispectral, Hyperspectral Imaging and Medical Image Processing at AI Lab, Tencent.
Mentor: Dr. Jun Liao
Leader: Dr. Jianhua Yao
Project: Multispectral and Hyperspectral Imaging for Clinical Diagnosis
  • Developed novel intelligent imaging systems to assist doctors in clinical diagnosis using multispectral, hyperspectral imaging and artificial intelligence methods.
  • Mainly responsible for designing, building and testing multispectral imaging systems; rebuilding these imaging systems at hospitals, guiding doctors to use these systems, and assisting doctors to do experiments; processing and analyzing spectral images using artificial intelligence methods; designing and simulating optical microscope systems; organizing experimental data and uploading it to the cloud.

  • 11.2017-04.2021: Conducted research on Generation and Applications of Microcomb based on Silica Microresonators at College of Engineering and Applied Science, Nanjing University.
    Advisor: Prof. Xiaoshun Jiang and Dr. Shulin Ding
    Project 1: Generation and Stabilization of Soliton Microcomb at 1550nm Band
    Project 2: Kerr Frequency Comb Generation at 780nm and 1050nm Bands
    Project 3: Depression Simulation and Measurement of Optical Microresonators
    Project 4: Optical Imaging Based on Kerr and Soliton Microcomb (only simulation!)
  • Generated soliton and soliton crystal at 1550nm band, Kerr microcomb at 780 and 1050nm band; stabilized soliton microcomb through locking pump laser frequency based on PDH locking technique; simulated and measured cavity depression of silica microcavity; simulated dynamics of microcomb generation using LLE model; investigated applications of optical frequency comb for optical imaging and performing numerical simulations.
  • Mainly responsible for optical experiments (Q measurement, dispersion measurement, microcomb generation and characterization); finite element simulation of cavity depression, numerical simulation of microcomb generation dynamics and microcomb-based imaging methods; designing and building microcomb generation, characterization and stabilization systems, dispersion measurement systems, optical coupling system from free space to fiber and optical frequency doubling system; programming for instruments to remote control and data acquisition (including: optical spectrum analyzer, lasers, oscilloscope, arbitrary wave generators and linear DC power supplies); designing driver circuits for laser diode and TEC (thermoelectric cooler); designing machine elements.



  • 10.2016-08.2017: Conducted research on Robotics and Virtual Instrument at School of Electrical Engineering and Automation, Harbin Institute of Technology.
    Advisor: Yan Wu (senior engineer) and Prof. Liyan Qiao
    Project: VR Detection System for Outdoor Environment (the third prize in the fourth national virtual instrument competition, ranking 1/5)
  • Designed and built an environment detection system based on controllers (including: myRIO, Raspberry Pi and Arduino) and somatosensory devices (such as Kinect and Leap Motion). This system consisted of a smart car and a vehicle-mounted drone, and a variety of sensors were used to auxiliary measurement.
  • Mainly responsible for writing control program based on LabVIEW and myRIO, building and debugging the smart car system, debugging the parameter of the somatosensory equipment; debugging the drone and image transmission system auxiliary.

  • 07.2016-06.2017: Conducted research on Fourier Ptychography Microscopy (FPM, a recently developed computational imaging method with both large field-of-view and high spatial resolution) at Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology.
    Advisor: Dr. He Zhang and Prof. Jian Liu
    Project: Imaging Property Improvement of FPM for Depth of Field, Time Resolution and Spatial Resolution
  • Extend the depth of field of FPM combining wavefront coding technique based on cubic-phase-modulation phase mask and DMD; decreased images processing time through parallel computing; decreased images capturing time or improved spatial resolution through illumination modulation using LCD.
  • Mainly responsible for principle simulation, experiments, building optical imaging systems based on SLM, DMD and LCD, programming to data acquisition and image processing.

  • 11.2015-01.2017: Conducted research on Temperature Measurement System at School of Electrical Engineering and Automation, Harbin Institute of Technology.
    Advisor: Prof. Chengde Tong
    Project: Accurate Real Time Multi Point Temperature Measurement System for Permanent Magnet Synchronous Motor (the National Innovation and Entrepreneurship Training Program for College Students, ranking 5/5)
  • Designed and built a temperature measurement system to real-time monitor motor temperature based on the two-wire PT100 sensor, aiming at the problems of limited space and serious electromagnetic interference in the motor.
  • Mainly responsible for circuit simulation using Multisim, writing signal processing program and designing UI using LabVIEW, and circuit soldering.

  • 02.2015-07.2015: Conducted research on Confocal Microscopy at Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology.
    Advisor: Dr. He Zhang and Prof. Jian Liu
    Project: Principle and Application of Differential Confocal Microscope System (the Freshman Year Project, ranking 1/2)
  • Designed and built a differential confocal microscope system with 15nm axial resolution and three-dimensional scanning imaging, including optics, electronics, mechanics and control.
  • Mainly responsible for building optical setups, writing control, data acquisition and processing program using LabVIEW, as well as testing the microscope system.

  • SELECTED SKILLS

    • Programming: MATLAB, LabVIEW, Python, C++, Qt, Verilog HDL, Mathematica.
    • Hardware: NI Data Acquisition Hardware, NI myRIO Embedded Device, FPGA, Arduino, Raspberry Pi, Industrial Camera, 3D Camera, Liquid Lens.
    • Software: Multisim, Altium Designer, COMSOL Multiphysics, Lumerical FDTD, IPKISS, ZEMAX, ENVI, SolidWorks, AutoCAD, Adobe Illustrator, Origin, GraphPad.
    Honors and Awards

    • 2018 & 2019: First Class Graduate Academic Scholarship of Nanjing University
    • 2017: First Class People Scholarship of Harbin Institute of Technology
    • 2017: Third Prize in the 4th National Virtual Instrument Competition (ranking 1/5)
    • 2017: Bronze Award in the 7th “ZuGuang Cup” Creativity, Innovation and Entrepreneurship Competition of Harbin Institute of Technology (ranking 4/4)
    • 2016: Virtual Instrument Scholarship - Group Award (ranking 2/4)
    • 2016: School level "Merit Student" honorary title
    Activities

      Teaching Assistant
      09.2020-01.2021: Practical Training of Optoelectronic Information Engineering, with Associate Prof. Shun Wang, autumn semester 2020, Nanjing University.
    • Assist teacher to guide undergraduate students in scientific innovation training.
    • Organize instruments and electrical components.

    • Virtual Instrument Technology Association of Harbin Institute of Technology
      01.2017-09.2017: President
      09.2016-12.2016: Vice President
    • Trained new member about the skills in LabVIEW.
    • Coordinated the relationships with funding company (National Instruments Corp.) and other similar clubs; trained new members to use LabVIEW, NI myDAQ Data Acquisition Device and Arduino; organized the members to prepare for the 4th National Virtual Instrument Competition, and helped advisors to implement assessment, regular inspection progress and regular meeting.
    Misc

    • Sports: I like soccer, hiking, cycling and swimming.
    • Arts: I like reading history books and visiting museums.

    Last Update: Sept. 2023

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