Gang liu | Cancer | Best Researcher Award

Prof Gang liu | Cancer | Best Researcher Award

Gansu Provincial Center for Disease Control and Prevention | China

Author Profile

Scopus

Gang Liu: Pioneer in Radiobiology and Preventive Medicine βš›οΈ

EARLY ACADEMIC PURSUITS πŸŽ“

Gang Liu began his academic journey at Lanzhou University, where he pursued a PhD in preventive medicine. His graduation in 1997 marked the beginning of a career dedicated to understanding the impacts of radiation on health. His academic training in preventive medicine provided the foundation for his future contributions to radiobiology and public health, particularly in the context of disease control and prevention.

PROFESSIONAL ENDEAVORS 🏒

After obtaining his PhD, Gang Liu embarked on a distinguished career at the Gansu Provincial Center for Disease Control and Prevention. His professional focus has been on the intersection of radiobiology, immunology, and tumor screening. In 2019, his registration as a health physicist signaled a significant milestone. He became the technical lead for a groundbreaking study on low-dose dose-effect relationships, a critical area in radiation therapy and safety. His expertise in radiation protection and therapy has earned him a prominent position within the medical research community.

CONTRIBUTIONS AND RESEARCH FOCUS ON CANCER🧬

Gang Liu's research primarily revolves around radiobiology and radiation protection in therapy. His technological advancements in biological dose estimation are considered cutting-edge within China and recognized internationally. One of his significant contributions was revising the 2011 IAEA Manual based on findings from his studies on radiological sensitivity and dose rates. This revision, coupled with his publications in the FASEB Journal, has made Liu a leading figure in radiation science. His work in chromosomal aberration analysis and developing noninvasive techniques for early-stage cancer screening underscores his innovative approach to medical research.

IMPACT AND INFLUENCE 🌍

Gang Liu's influence extends beyond national borders. His research on radiological sensitivity and dose rates, especially in the context of cancer screening and radiation therapy, has set new benchmarks in the field. The international recognition of his work, particularly his advancements in biological dose estimation and contributions to global radiation protection protocols, underscores his importance in radiobiology. His work is used by institutions worldwide to improve radiation safety standards and enhance cancer diagnostic techniques.

ACADEMIC CITATIONS πŸ“š

His pioneering research has been published in prestigious journals such as the FASEB Journal, one of the top international platforms for scientific contributions. The citations of his work in radiological sensitivity, chromosomal aberration analysis, and cancer screening techniques reflect his deep impact on the scientific community, with his methods influencing both practical applications in healthcare and further research.

LEGACY AND FUTURE CONTRIBUTIONS πŸ”¬

Gang Liu’s legacy will likely be defined by his leadership in advancing radiation protection technology and cancer screening techniques. As an innovator in radiological health, his influence will continue to grow through future contributions to radiation therapy safety, noninvasive cancer detection, and international health standards. His ongoing work in exploring new methods for biological dose estimation will further establish his standing as a key figure in the evolution of radiation medicine.

NOTABLE PUBLICATIONSΒ πŸ“‘

"Study of Low-Dose Radiation Workers Ionizing Radiation Sensitivity Index and Radiation Dose-Effect Relationship"Β 

  • Authors: Liu, G., Zhang, R., Li, Y., Liu, Y.Y., Zhang, X.
  • Journal: Health Physics
  • Year: 2022

"Revision of cytogenetic dosimetry in the IAEA manual 2011 based on data about radio-sensitivity and dose-rate findings contributing"Β 

  • Authors:Liu, G.
  • Journal: FASEB Journal
  • Year: 2022

"Thyroid dose assessments due to inhalation of 131I for nuclear medicine workers"

  • Authors: Liu, G., Li, Y., Zhang, H., Niu, L.M., Zhang, R.
  • Journal: Frontiers in Public Health
  • Year: 2022

"Study of Indicators for Early and Rapid Diagnosis of Radiation Injury Is the Most Important in Patients With Cancer During Radiotherapy"

  • Authors: Liu, G., Niu, L.-M., Wang, L.-Q., Liu, Y.-Y., Zhang, R.
  • Journal: Dose-Response
  • Year: 2020

"Chromosomal aberration analysis: Novel noninvasive techniques for early-stage cancer screening"

  • Authors: Liu, G.
  • Journal: Clinica Chimica Acta
  • Year: 2024

Yong Chi Chua | Epigenetics | Best Researcher Award

Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | MalaysiaΒ 

Author Profile

Scopus

🌟 Chua Yong Chi: AI Software Engineer Extraordinaire 🌟

πŸŽ“ Education

πŸŽ“ Master of Computer Science

University of Technology Malaysia
CGPA: 3.95 / 4.0, UTM National Postgraduate Fund (NPF) Scholarship
October 2021 - April 2023 | Skudai, Johor, Malaysia

πŸŽ“ Bachelor of Computer Science (Computer System)

University of Putra Malaysia
CGPA: 3.677 / 4.0, Second Upper Class Honour
October 2017 - September 2021 | Serdang, Selangor, Malaysia

πŸ’Ό Professional Experience

πŸ€– AI Software Engineer

Redfin Technology
July 2023 - Present | Kuala Lumpur, Malaysia

  • Lead and coordinate an AI team to ensure timely completion of tasks.
  • Communicate effectively with project managers to gather requirements and align team efforts.
  • Utilize advanced knowledge in the RASA framework for AI chatbot development.
  • Implement NLP techniques including featurization, tokenization, data labeling, entity recognition, and intent classification.
  • Apply machine learning skills in feature engineering, classification, performance evaluation, and data modeling.
  • Conduct data analysis to extract and analyze conversation data, optimizing model performance.
  • Utilize TensorBoard to monitor model training.
  • Develop and deploy AI models using microservices architecture.
  • Implement web development using Vue.js, Spring Boot, and MySQL.
  • Create REST APIs to interact with databases for data validation and insertion.
  • Develop Docker containers for model training to handle OS dependency issues.
  • Use SQL queries for data insertion and extraction.
  • Debug code to identify and resolve errors efficiently.

πŸ’» Java Developer Intern

Cyber Village
March 2021 – August 2021 | Kuala Lumpur, Malaysia

  • Collaborated with a team to develop a Fintech project using HTML, CSS, JavaScript (AngularJS), and Java (Spring Framework).
  • Tested web applications for bugs, documented processes, and fixed issues.
  • Assisted in creating a prototype for a new Fintech project by reusing existing code.

πŸ”¬ Projects

  1. Q-learning Model for Selection of Genetic Markers Associated with Acne
  • Developed a reinforcement learning agent using the Q-learning model to select genetic markers associated with acne.
  • Conducted data preprocessing and data mining for acne gene expression datasets using R programming.
  • Developed a Q-learning agent using Python (NumPy, pandas) and designed Markovian domains (state, action, rewards, Q-value) for the gene expression datasets.
  • Evaluated the performance of selected genes with logistic regression classification and analyzed their relationship with acne through PubMed text data mining.
  1. A Microservices Based Framework for IoT System in Smart Home Environment
  • Developed an IoT environment system on Raspberry OS and Docker, including temperature and humidity monitoring, light intensity monitoring, and light automation.
  • Created independent and loosely coupled features using different API IDs for each sensor.
  • Developed a messaging protocol between sensor and server using MQTT (Eclipse Mosquitto), backend function and API using JavaScript (Node-RED), database storage using InfluxDB, and data visualization using Grafana.

πŸ“š Publications

AI-driven Q-learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers
Published in the Egyptian Informatics Journal
Read more

πŸ’‘ Skills

  • Programming Languages: Python, Java, R, JavaScript (AngularJS, Vue.js)
  • Frameworks & Tools: RASA, Spring Boot, Docker, TensorBoard, Git, GitLab, Visual Studio Code, Eclipse
  • Databases: MySQL, InfluxDB
  • Technologies: Microservices architecture, REST API, SQL
  • Data Science: NLP, Machine Learning, Data Analysis, Feature Engineering

πŸ… Activities

Event President
UPM 6th Modern Dance Performance - F6und, March 2020

  • Coordinated over 100 active members and involved over 1000 audiences.

Club President
UPM Extreme Dancer Club, October 2018 – October 2019

  • Led and communicated with a 25-member organization.

🌐 Additional Information

  • Languages: English, Chinese, Malay
  • Interests: Gym, Dancing, Travelling, Badminton

πŸ“š Notable Publication

AI-Driven Q-Learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers

Authors: Chua, Y.C., Nies, H.W., Kamsani, I.I., Nies, Y.H., Mohamad, M.S.
Journal: Egyptian Informatics Journal
Volume: 26
Pages: 100484
Year: 2024