Zhiyi Su |Β RNA Sequencing | Best Researcher Award

Zhiyi Su | RNA Sequencing | Best Researcher Award

Chinese Academy of Forestry | China

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Orcid ID

🌱 Biography of Zhiyi Su

πŸŽ“ 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 master’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.

πŸ’Ό 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.

🌳 CONTRIBUTIONS AND RESEARCH FOCUS ON RNA SEQUENCING

Zhiyi Su’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.

🌍 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.

πŸ“š ACADEMIC CITATIONS

While the details of her academic publications remain undisclosed, Zhiyi’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.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Zhiyi Su’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.

πŸ“ 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. 🌟

πŸ“‘NOTABLE PUBLICATIONSΒ 

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

  • 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

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

Nimisha Sharma | Molecular Genetics and DNA Sequencing | Editorial Board Member

Dr. Nimisha Sharma | Molecular Genetics and DNA Sequencing | Editorial Board Member

Indian Agricultural Research Institute | New Delhi

Author Profile

Scopus

Orcid ID

EARLY ACADEMIC PURSUITS:

Dr. Nimisha Sharma embarked on her academic journey at SKRAU, Bikaner, achieving academic excellence from the onset. Graduating with a B.Sc. Ag. (Hons.) in 2004, she secured a remarkable CGPA of 8.18, earning the prestigious Gold Medal for her outstanding performance. This set the stage for her further educational pursuits in the field of Biotechnology.

PROFESSIONAL ENDEAVORS:

Following her academic accomplishments, Dr. Nimisha Sharma ventured into the professional realm as a Senior Scientist in Plant Biotechnology. She is currently affiliated with the Division of Fruits and Horticultural Technology at ICAR-Indian Agricultural Research Institute in New Delhi.

CONTRIBUTIONS AND RESEARCH FOCUS ON MOLECULAR GENETICS AND DNA SEQUENCING:

Dr. Sharma's Ph.D. thesis, titled "Assessment of microbial diversity in western Rajasthan under Thar desert," reflects her commitment to understanding and contributing to the agricultural ecosystem, particularly in arid regions. Under the guidance of Dr. Govind Singh at SKRAU, Bikaner, she successfully defended her thesis in 2012.

IMPACT AND INFLUENCE:

Dr. Nimisha Sharma's work has had a notable impact, particularly in the assessment of microbial diversity in challenging environments. Her research contributes to the broader understanding of sustainable agricultural practices, especially in arid regions like western Rajasthan.

ACADEMIC CITATIONS:

Dr. Sharma's contributions have likely been recognized in academic circles, with her work potentially garnering citations and references in the field of agricultural biotechnology and microbial diversity research.

LEGACY AND FUTURE CONTRIBUTIONS:

With a solid foundation in academic achievements, professional experience, and impactful research, Dr. Nimisha Sharma is poised to leave a lasting legacy in the field of Plant Biotechnology. Her focus on addressing agricultural challenges in arid regions sets the stage for future contributions, indicating a trajectory of sustained impact on agricultural practices and research methodologies.

Notable Publications:

Rootstock-mediated carbohydrate metabolism, nutrient contents, and physiological modifications in regular and
alternate mango (Mangifera indica L.) scion varieties 2023(2)

Elucidation of Physio-Biochemical Changes in Citrus spp. Incited by Xanthomonas citri pv. citri 2023(3)

Scion/Rootstock Interaction Studies for Quality Traits in Mango (Mangifera indica L.) Varieties 2023(2)