Zhiyi Su |Ā RNA Sequencing | Best Researcher Award

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Zhiyi Su | RNA Sequencing | Best Researcher Award

Chinese Academy of Forestry | China

Author Profile

Orcid ID

šŸŒ± Biography of Zhiyi Su

šŸŽ“ EARLY ACADEMIC PURSUITS

Born on January 2002 in Zhanjiang, Guangdong, Zhiyi Su displayed an early passion for academic excellence. Pursuing her education with dedication, she earned an academic masterā€™s degree specializing in Forest Tree Genetics and Breeding, a field that intertwines environmental conservation and genetic innovation. Her formative years laid a strong foundation for her future contributions to forestry and genetics research.

šŸ’¼ PROFESSIONAL ENDEAVORS

Zhiyi has taken on pivotal roles during her academic journey:

  1. Minister of the Literature and Art Department of the Postgraduate Student Union at the Nanjing Branch of the Graduate Department of the Chinese Academy of Forestry.
  2. Study Committee Member at the same institution, where she played a key role in fostering academic collaboration and excellence.

šŸŒ³ CONTRIBUTIONS AND RESEARCH FOCUS ON RNA SEQUENCING

Zhiyi Suā€™s research emphasizes Forest Tree Genetics and Breeding, a critical area that contributes to sustainable forestry and biodiversity preservation. Her work involves applying advanced genetic techniques to improve tree resilience, enhance growth rates, and support ecological stability.

šŸŒ IMPACT AND INFLUENCE

As an active party member, Zhiyi integrates her professional work with her political and social responsibilities, promoting initiatives that align with environmental stewardship and national development goals. Her leadership roles have inspired fellow students and colleagues to actively participate in academic and extracurricular endeavors.

šŸ“š ACADEMIC CITATIONS

While the details of her academic publications remain undisclosed, Zhiyiā€™s focus on forest tree genetics positions her as a promising contributor to this specialized field. Future citations will undoubtedly reflect the relevance and applicability of her work in genetics and breeding programs.

šŸŒŸ LEGACY AND FUTURE CONTRIBUTIONS

Zhiyi Suā€™s legacy is marked by her leadership within academic organizations and her dedication to sustainable forestry research. Moving forward, she is expected to pioneer breakthroughs in genetics, contribute to biodiversity preservation, and mentor the next generation of forestry researchers.

šŸ“ CONCLUSION

Zhiyi Su exemplifies a blend of academic rigor, leadership, and environmental consciousness. Her journey from Zhanjiang to a specialized focus on forest tree genetics highlights her commitment to impactful research and community engagement. šŸŒŸ

šŸ“‘NOTABLE PUBLICATIONSĀ 

"Exploring the Genetic Basis of Calonectria spp. Resistance in Eucalypts"Ā 

  • Authors: Zhiyi Su; Wanhong; Yan Lin; Jianzhong Luo; Guo Liu; Anying Huang
  • Journal: Current Issues in Molecular Biology
  • Year: 2024

Yong Chi Chua | Epigenetics | Best Researcher Award

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Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | MalaysiaĀ 

Author Profile

Scopus

šŸŒŸ Chua Yong Chi: AI Software Engineer Extraordinaire šŸŒŸ

šŸŽ“ Education

šŸŽ“ 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

šŸŽ“ 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

šŸ’¼ Professional Experience

šŸ¤– 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.

šŸ’» Java Developer Intern

Cyber Village
March 2021 ā€“ 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.

šŸ”¬ 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.

šŸ“š Publications

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

šŸ’” 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

šŸ… 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 ā€“ October 2019

  • Led and communicated with a 25-member organization.

šŸŒ Additional Information

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

šŸ“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

Akshay Bhuvaneswari Ramakrishnan | Bioinformatics | Young Scientist Award

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Mr. Akshay Bhuvaneswari Ramakrishnan | Bioinformatics | Young Scientist Award

Sastra University | India

Author ProfileĀ 

Scopus

EARLY ACADEMIC PURSUITS

Akshay B R embarked on his academic journey by pursuing a Bachelor of Technology in Computer Science at Shanmugha Arts, Science, Technology and Research Academy, where he maintained a commendable CGPA of 7.4. Prior to this, he completed his high school education at Maharishi Vidya Mandir Senior Secondary School in Chennai, achieving a notable 72% in 2020.

PROFESSIONAL ENDEAVORS

Demonstrating a commitment to technological advancements, Akshay has been an influential Student Ambassador for Intel Since 2022. In this role, he effectively represented Intel Corporation, promoting the open-source oneAPI platform through various activities and events. Additionally, he has contributed significantly as a Research Assistant at the National Institute of Technology, engaging in research activities related to Advance Driver Assistance System (ADAS) and Brain Tumor Segmentation.

CONTRIBUTIONS AND RESEARCH FOCUS ON BIOINFORMATICS

Akshay's research focus has been on critical issues such as ADAS and Brain Tumor Segmentation. As a Research Assistant, he actively participated in literature reviews, data collection, and analysis. His contribution to developing research papers and presentations underscores his dedication to advancing knowledge in these domains.

IMPACT AND INFLUENCE

As a Clinical Data Analyst at Maruthi Hospital, Akshay applied his analytical skills to interpret clinical data, identify trends, and improve patient care. His work involved collaborating with healthcare professionals to implement data-driven solutions, showcasing a tangible impact on healthcare decision-making.

ACADEMIC CITES

Akshay's academic prowess is evident in his achievements, highlighted by his notable projects. The projects include an IoT-Based Epilepsy Detection Device, a Power BI Sales Dashboard for Zomato, and significant contributions to the field of ophthalmological disease classification and brain tumor detection using CNN architectures.

LEGACY AND FUTURE CONTRIBUTIONS

Akshay leaves a legacy of academic excellence and impactful contributions to technology and healthcare. His future contributions are anticipated to further shape the intersection of computer science, healthcare, and research, as evidenced by his continuous pursuit of knowledge and active involvement in cutting-edge projects.

Notable Publications

Optimizing brain tumor classification with hybrid CNN architecture: Balancing accuracy and efficiency through oneAPI optimization 2024