Tuyen Chan Kha – Agricultural Data Analysis – Best Researcher Award 

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Assoc Prof Dr. Tuyen Chan Kha - Agricultural Data Analysis - Best Researcher Award 

Nong Lam University Ho Chi Minh City - Vietnam

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Tuyen Chan Kha commenced her academic journey with a Bachelor of Food Science and Technology from Nong Lam University, Ho Chi Minh City, Vietnam, graduating in 2003. Building upon this foundation, she pursued her Master of Philosophy and later her Ph.D. in Food Science at the University of Newcastle, Australia, completing them in 2009 and 2014, respectively. These formative years honed her expertise in food science and laid the groundwork for her illustrious career in academia and research.

Professional Endeavors

Assoc Prof Dr. Kha's professional journey reflects a commitment to academic excellence and a passion for advancing food science and technology. She began her career as an Assistant Lecturer at Nong Lam University in 2003 and progressively ascended the ranks to her current positions of Associate Professor, Vice Dean, and Head of the Department of Food Microbiology and Product Development.

Throughout her tenure, Dr. Kha has not only imparted knowledge to her students but has also spearheaded numerous research projects aimed at addressing pressing issues in food safety, preservation, and processing. Her contributions extend beyond the classroom, with active involvement in international workshops and training courses, further enriching her expertise and fostering global collaborations.

Contributions and Research Focus

Assoc Prof Dr. Kha's research interests span a wide array of topics within the realm of food science, with a primary focus on thermal processes, extraction of bioactive compounds, and encapsulation technologies. Her work encompasses both fundamental research and practical applications, aiming to enhance the quality, safety, and nutritional value of food products.

Through her leadership in various research projects, Dr. Kha has made significant strides in developing innovative technologies for food preservation, processing, and valorization of agricultural by-products. Her expertise in thermal processing, encapsulation, and extraction techniques has led to the development of novel solutions for enhancing food quality and extending shelf life.

Accolades and Recognition

Assoc Prof Dr. Kha's contributions to the field of food science have garnered recognition both nationally and internationally. Her prolific research output, including publications in esteemed journals and book chapters, underscores her standing as a respected authority in her field. Additionally, her active engagement in academic activities, including teaching, mentoring, and knowledge dissemination, has earned her accolades from peers and students alike.

Impact and Influence

Assoc Prof Dr. Kha's work has had a tangible impact on both academia and industry, with her research findings informing policy decisions and driving innovation in the food sector. By bridging the gap between theory and practice, she has facilitated the translation of scientific knowledge into real-world applications, ultimately benefitting society at large.

Legacy and Future Contributions

As a trailblazer in the field of food science and technology, Dr. Kha's legacy is defined by her relentless pursuit of excellence and her dedication to advancing scientific knowledge for the betterment of humanity. Looking ahead, she remains committed to pushing the boundaries of research, mentoring the next generation of scholars, and collaborating with stakeholders to address emerging challenges in food security and sustainability. Dr. Kha's visionary leadership and unwavering passion continue to inspire those around her, shaping the future trajectory of food science for generations to come.

Notable Publication

 

Zheyi Chen | Machine Learning Applications | Best Researcher Award

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Zheyi Chen | Best Researcher Award - Biography

Prof Dr Zheyi Chen : Machine Learning Applications

Professional profile:

Early Academic Pursuits:

Prof Dr. Zheyi Chen embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Shanxi University, China, where he laid the foundation for his future endeavors. He continued his education with a Master's degree in Computer Science and Technology from Tsinghua University, China, under the guidance of Prof. Yongwei Wu.

For his doctoral studies, Prof. Chen pursued a Ph.D. in Computer Science at the University of Exeter, U.K., from September 2017 to October 2021. During this period, he worked under the supervision of Prof. Geyong Min and Dr. Jia Hu, contributing to the field of computer science and further honing his research skills.

Professional Endeavors:

Following his academic pursuits, Prof Dr. Zheyi Chen transitioned into the role of an Associate Professor and Ph.D. Supervisor at the College of Computer and Data Science, Fuzhou University, China, from December 2021 to January 2023. Subsequently, he assumed the position of a Professor and Ph.D. Supervisor in the same department from February 2023 onwards, signifying a progression in his academic career.

Contributions and Research Focus:

Prof Dr. Chen's research interests encompass Cloud/Edge Computing, Resource Optimization, Deep Learning, and Deep Reinforcement Learning. His notable contributions include leading research projects such as "Research on Efficient and Adaptive Resource Optimization in Cloud-Edge Environments" and "Research and Application of Key Technologies for Resource Optimization and Data Processing in Cloud-Edge Collaborative Environment."

He has significantly advanced the understanding of resource allocation in mobile edge computing and the development of key technologies for big data intelligence. His expertise extends to the exploration and practice of training postgraduate students aligned with the "Digital Fujian" strategy.

Accolades and Recognition:

Prof Dr. Zheyi Chen's contributions to the field have been acknowledged through prestigious awards, including the "World’s Top 2% Scientists" in 2023, the "First Prize of Fujian Science and Technology Progress" in 2021, and multiple "First Prizes for Outstanding Papers" at the Annual Academic Conference of Fujian Computer Society in 2021 and 2023.

Impact and Influence:

As an active member of IEEE, ACM, and CCF, Prof. Chen has played a pivotal role in the academic community. His involvement in conference organization, as seen in his roles as Web and System Management Chair for IEEE SustainCom-2020 and IEEE SmartCity-2018, highlights his commitment to fostering scholarly exchange.

He has also served as a reviewer for reputable journals and conferences, including IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, and IEEE/CAA Journal of Automatica Sinica, contributing to the rigorous evaluation and dissemination of research in his field.

Legacy and Future Contributions:

Prof Dr. Zheyi Chen's legacy is marked by his leadership in influential research projects, academic recognition, and service to the community. His commitment to advancing knowledge in Cloud/Edge Computing and related fields positions him as a key figure in shaping the future of computer science. As he continues to lead research projects, mentor students, and contribute to scholarly activities, Prof. Chen is poised to leave a lasting impact on the field and inspire future generations of researchers.

Notable Publications:

Citations:

A total of  921 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      921
  • h-index         13
  • i10-index      15

Zhi Liu | Best Researcher Award | Machine Learning Applications

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 Zhi Liu | Best Researcher Award  Winner 2023  🏆

Dr Zhi Liu : Machine Learning Applications

🏆 Congratulations to Dr. Zhi Liu!

 International Research Data Analysis Excellence Awards Best Researcher Award Winner Recognizing Dr. Liu's outstanding contributions in Machine Learning Applications. Your dedication to research excellence has set a benchmark for the global scientific community. Well-deserved honor!

Professional profile:

Early Academic Pursuits

Liu Z started his academic journey with a focus on computer software and theory at Northeast Normal University, where he pursued a master's degree in Computer Software and Theory from September 2014 to January 2017. During this period, his research interests included recommendation systems, artificial intelligence, machine learning, and natural language processing.

Professional Endeavors

Subsequently, he advanced his academic pursuits by obtaining a Ph.D. in Mechanical Manufacturing and Automation from the University of the Chinese Academy of Sciences (2017-2022). His doctoral research concentrated on artificial intelligence, machine teaching, knowledge graphs, natural language processing (NLP), natural language understanding (NLU), machine reading comprehension (MRC), and knowledge modeling.

Research Focus

The core of Liu Z's doctoral research was the development of machine teaching methods for human-machine collaboration. His dissertation focused on leveraging natural language processing (NLP) techniques in the medical domain to explore how AI models could be taught through interactive human-machine methods. The goal was to enhance learning efficiency by incorporating existing knowledge systems and incorporating correction mechanisms into the learning process.

Contributions and Research Output

Liu Z has made significant contributions to the field, as evidenced by his research outcomes and publications. Notably, he co-authored a paper titled "AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation" and secured a patent for a method analyzing symptom-drug relationships using new artificial intelligence technology.

His work extended to Chinese traditional medicine, with a paper on "TCMNER and PubMed: A Novel Chinese Character-Level-Based Model and a Dataset for TCM Named Entity Recognition." In addition, Liu Z contributed to the field of event extraction with a paper on structural dependency self-attention-based hierarchical event models.

Recognition and Impact

Liu Z's contributions have not gone unnoticed, as he received funding from the 71st batch of the China Postdoctoral Science Foundation. His work in the medical domain, specifically on the generation of traditional herbal medicine prescriptions, was acknowledged in a transfer learning model published in the journal "Artificial Intelligence in Medicine."

Future Contributions and Legacy

Transitioning to a postdoctoral role at Zhejiang Lab, Liu Z continued his research in natural language processing, understanding, and knowledge graphs. His accomplishments include the development of large models tailored to specific vertical domains, such as finance and traditional Chinese medicine. His work in numerical reasoning and a transfer learning-based dual-augmentation strategy for rare disease syndrome differentiation in traditional Chinese medicine showcases his commitment to advancing the field.

Liu Z's legacy extends beyond academic achievements, with patents, conference papers, and impactful research contributing to the broader landscape of artificial intelligence, natural language processing, and medical applications. His efforts are likely to leave a lasting mark on the integration of AI into medical practices and knowledge systems.

Notable publication :