Chih-Hao Liu

I am Steve, a dedicated professional in AI Research, 5G technology, and Materials Sciences. I enjoy street dancing, channeling my creativity into writing blogs, listening to podcasts about international affairs, and exploring new destinations through travel.

Taipei, Taiwan

Working Experience

Research Assistant (part-time) – 5G technology

Institute for Information Industry

05 2022 - 08 2023
Taipei, Taiwan

Analysis specification: 3GPP 5G NR/4G LTE L1/L2/L3, O-RAN 11 WG, ETSI MANO.
Source code mapping: O-RAN open source project (RIC/SMO/O-Cloud/xAPP), ONAP (SDNR/CCSDK), and OAI (L1/L2/L3).
Market research: telecom operators open RAN product & solutions, O-RAN integration & testing, and white paper reading.

Research Assistant (part-time) – AI in Medicine

National Taiwan University

08 2021 - 08 2023
Taipei, Taiwan

Collaborated with a biotech startup, hospital, and research institutes to develop AI tool and applications on human skin.
Data management, data storage, image processing, DL/CV algorithms design, SOTA model comparison, model fine-tuning, model optimization, model management, quality assessment, IRB report, journal, and patent writing.
Authored 10 publications (1 st author × 8 / 2nd author × 2) with 1 published, 3 under review, 6 manuscripts completed and 1 patent (applied for provision).

Programming Lecturer

(part-time)

Coding APE Ltd.

09 2021 - 08 2023
Taipei, Taiwan

Teach teenagers about data structures and algorithms, advanced placement, computer science, C++/Python object-oriented programming, web crawler, Line chatbot design, Pygame development.

Research Assistant (full-time) – Physics

National Taiwan University

09 2020 - 02 2021
Taipei, Taiwan

Researched in non-destructive optical inspection for measuring the thermal properties of semiconductor materials.
Designed optical experiments, operated equipment, and system signal processing, and conducted materials analysis.
Published in Taiwan Thermoelectric Conference and honored with the NTU CCMS Innovative Competition Excellent Award.

Summer Research (intern) - Mathematical Theory

National Center for Theoretical Sciences

07 2020 - 0 2020
Taipei, Taiwan

Researched in time series analysis using integral transform and machine learning.
Studied the mathematical theory on scattering transform and dimensional reduction for signal processing.

Education

National Taiwan University,

M.S. in Electrical Engineering and Computer Sciences - Optoelectronics • 2021 - 2023

[Thesis]: Quantitative and Qualitative Analysis of Human Skin Structures and Lesions in Cellular-Resolution OCT Images by Deep Learning (English version, 408 pages).
[CS Courses]: Algorithms Design and Analysis (audit), Operating System, Compiler Design, Applied Deep Learning, Data Structures (audit), Database Management.
[EE Courses]: Medical Photonics, Silicon Photonics, Integrated Optics, IC Engineering, Optoelectronics, Solid State Lighting, Semiconductor and Display, and Optical Techniques in Diagnosis, Optical Simulation, Optical System.

National Cheng Kung University

Double Degree in B.S. in Optical Science and B.Eng. in Chemical Engineering • 2021 - 2023

(Studied Civil Engineering during 2015 to 2017, Transferred to Optical Science at 2017)

[Courses]: Take more than 240 credits and more than 100 courses, including Quantum Physics, Molecular Simulation, Process design, Big Data Analysis, Finite Element Analysis, Optical Communication.
[Activity]: Participate in 3 student clubs
[Research]: Conduct undergraduate research in 3 distinct labs and 3 side projects in senior/graduate level courses.

Skills

Software Engineering

Python, PyTorch, Tensorflow, SciKit learn, Hugging Face, OpenCV, C/C++, Java, MySQL, PostgreSQL, Spark, Hadoop, BS4, Selenium, GCP, BigQuery, Flask, HTML, CSS, JS, LabVIEW, Linux, Ubuntu, Kubernetets, Git/Github.

Computer Sciences

Computer Programming, Operating System, Compiler Design, Applied Deep Learning, Algorithm Design & Analysis (audit), Data Structures (audit), Computer Architecture (audit), Database, Statistics, Big Data Analysis.

Machine Learning

XGBoost, DL, CV, NLP/NLU, RL, XAI, MLOps, Recommendation Systems, LLM Fine-tuning & Prompting, Self-supervised Learning, Few-Shot Learning, SHAP, Grad-CAM, ETL, EDA, MapReduce, DB Management.

Mathematical Simulation

MatLab, ANSYS, COMSOL, R , Numerical Simulation, Numerical Analysis, Finite Element Analysis, Differential Equation (Eng. Mat. I), Linear Algebra (Eng. Mat. II), Fourier Analysis (Eng. Mat. III), Probability

Communication Specification

3GPP 5G NR/4G LTE spec, L1/L2/L3 architecture, ETSI MANO framework, O-RAN spec, OSC, ONAP.

Soft skills

Problem-Solving, Strong Adaptability, High Flexibility, Patience, Good Verbal Communication, High Learning agility

Honor and Award

Hahow Ltd. Course Recommendation System Design Competition – Mentioned Award / Kaggle Rank 1. (May, 2023).
National Synchrotron Radiation Research Center Winter School – Group Presentation 1st Prize. (Jan, 2022).
NTU Center for Condense Matter Sciences Innovation Competition – Excellent Award. (Feb, 2021)
NCKU Graduate Representative (Jun, 2020)

Publication and Patent

Journal paper

[1] Tsai, S. T.,Liu, C. H., Chan, C. C., Li, Y. H., Huang, S. L., & Chen, H. H. (2022). H&E-like staining of OCT images of human skin via generative adversarial network. Applied Physics Letters, 121(13), 134102.
[2] Liu, C. H., Fu, L. W., Chen, H. H., & Huang, S. L. (2023). Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency. Computer Methods and Programs in Biomedicine, 107824.
[3] Liu, C. H., Fu, L. W., Chang, S. W., Wang, Y. J., Wang, J. Y., Wu, Y. H., Chen, H. H., & Huang, S. L. (2023). Optimization and limitation of U-Net-based segmentation for quantitatively evaluating in-vivo human skin layers and keratinocytes in cellularresolution FF-OCT imaging. Journal of Biomedical Informatics (under review).
[4] Fu, L. W., Liu, C. H., Jain, M., Chen, J. C. S., Wu, Y. H., Huang, S. L., & Chen, H. H. (2023) Training with uncertain annotations for semantic segmentation of basal cell carcinoma from FF-OCT images. IEEE Transactions on Medical Imaging (under review).
[5] Liu, C. H., Chen, Y. S., Chen, Y. C., & Huang, S. L. (2023). Cellular-resolution OCT image denoising with unpaired reference guided deep generative network. Biomedical Signal Processing and Control (submitted).
[6] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). 3D in-vivo human skin keratinocytes segmentation in FFOCT images from 2D pseudo label using self-training. Computerized Medical Imaging and Graphics (submitted).
[7] Liu, C. H., & Huang, S. L. (2023). Unpaired in-vivo OCT and ex-vivo H&E human skin image translation using auxiliary learning. Medical Image Analysis (submitted)
[8] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). Self-supervised in-vivo OCT human skin lesions classification with curriculum learning path. (manuscript).
[9] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). Few-shot in-vivo human skin lesions identification in cellular-resolution FF-OCT image with contrastive pre-training. (manuscript).
[10] Liu, C. H., & Huang, S. L. (2023). Monte Carlo OCT simulation assisting real world segmentation with few data. (manuscript).

Conference paper

[1] Liu, C. H., & Chang, C. W. (2021) Infrared frequency domain thermoreflectance measurements of thermal conductivity. Annual Meeting of Taiwan Themoelectric Society.
[2] Liu, C. H., & Tseng, S. Y. (2019) Short and broadband mode-division multiplexers using shortcut to adiabaticity and supersymmetric optical structures. Optic and Photonic Taiwan International Conference.

Patent

[1] Deep Learning-Based Conversion of Optical Coherence Tomography Image to Pathological Slice Image for Biomedical Structure and Composition Mapping. (US Provisional Patent).

Projects Experience

O-RAN Open Source Project Study

Conducted a source code mapping analysis for O-RAN 5G specifications, covering components such as Near-RT RIC/Non-RT RIC, SMO, and xAPP/rAPP. Analyzed E2/A1/O1/O2/R1 interface transport APIs and investigated the relationship between the 3GPP framework and O-RAN's 7.2x split architecture. Explored the ETSI MANO framework in the context of SMO/O-Cloud schemes.

2D/3D Human Skin Cell Segmentation Tool Development

Collaborated with a biotechnology startup to develop 2D/3D segmentation models and enhance image quality. Established and optimized U-Net model training procedures, resulting in a significant accuracy improvement from 41% to 72%. Achieved acceleration in GPU inference speed from 3 minutes to 16 seconds, and reduced memory storage requirements by a factor of 8.

Mackay Memorial Hospital Lesions Identification Model Design

Partnered with Mackay Memorial Hospital to design AI models for the clinical diagnosis of human skin conditions. Conducted EDA on a dataset comprising data from over 100 patients, achieving a 91% accuracy in identifying 14 different skin lesions. Developed a few-shot model capable of detecting diseases with limited data availability. Conducted research on visual explanation figures to gain insights into the model's decision-making process.

Pseudo Pathological Slices Application Development

Collaborated with NTU Hospital, NTU CSIE, and NTU GIEE to develop a generative AI model capable of translating non-invasive microscopic images into conventional H&E slices. Curated a diverse image dataset and designed novel DL algorithms that achieved SOTA performance. Enhanced translation accuracy through auxiliary learning and patent the concept.

Hahow Ltd. Course Recommendation System Design

Designed and implemented a ML-based recommendation system to predict courses likely to be purchased by both new and existing customers. Conducted a comprehensive EDA on customer data, leveraging multiple ML algorithms. Explored customer behavior and assessed the impact of advertising efforts. Skillfully managed feature engineering to optimize the performance.

Personal Achievements

Linux Programming Study Note Series

Writing 25+ articles on Medium, providing the holistic introduction of system programming concept. Conduct hand-on developments for Linux system call and instruction using C programming language.

Machine Learning Study Note Series

Writing 100+ articles on Medium, providing in-depth explanations of ML algorithms' theories. Implemented these algorithms from scratch, without reliance on ML toolkits, to ensure a strong foundational understanding.

NCKU Freshman Lecture – Speaker

Lecturing to over 300 incoming freshman students. Shared personal insights and experiences regarding major selection, double majors, minors, and the university's available resources, helping students make informed decisions about their academic paths.

Optic and Photonic Taiwan International Conference – Student Event Organizer

Coordinated a chapter event attended by 300+ participants, including international scholars and esteemed guests.

Extracurricular Activities

President of NCKU Student Chapter / Optical Society of America (Jul, 2019 ~ Jun, 2020)

Promote optical science and be the bridge between students and corporate. Organize the company visitation, research institute visitation, and professional lectures