Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

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Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.


Dr. Natascia Bruni | Chemistry | Best Researcher Award

Dr. Natascia Bruni | Chemistry | Best Researcher Award

Candioli Pharma srl, Italy.

Natascia Bruni is an experienced regulatory compliance and quality management professional with over two decades of experience in the pharmaceutical and feed supplements industries. Currently, she serves as the Compliance Unit Director, Qualified Person, and QPPV at Acel Pharma srl, where she plays a pivotal role in ensuring regulatory compliance, managing product registrations, and overseeing pharmacovigilance activities. Throughout her career, Natascia has worked across various sectors, including pharmaceutical companies (human and veterinary), focusing on quality assurance, regulatory affairs, and strategic business compliance. She is well-versed in navigating complex regulatory landscapes and has made substantial contributions to corporate governance, legal risk management, and quality audits.

Profile

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Education 🎓

Natascia Bruni's educational background demonstrates her deep expertise in both scientific and management fields, which has greatly contributed to her successful career in regulatory affairs and quality management. She completed her degree in Chemistry (Nuclear) at the University of Turin from 1991 to 1996, earning the highest distinction with a final vote of 110/110 con lode. This solid foundation in chemistry equipped her with a thorough understanding of chemical processes and analytical methods, which would later be pivotal in her regulatory and quality assurance roles in the pharmaceutical industry.

In addition to her scientific education, Natascia pursued specialized training in Regulatory Affairs and Pharmacovigilance for Drugs between 2001 and 2002, sharpening her skills in the complex regulatory frameworks governing drug safety and compliance. This training became essential in her role as a Qualified Person and QPPV in various pharmaceutical companies, where she led efforts to ensure products met both safety and regulatory standards.

Furthermore, Natascia completed a Business Management Course from 2015 to 2018, which enhanced her leadership, strategic planning, and operational management abilities. This course helped her integrate business and regulatory perspectives, allowing her to lead teams and drive organizational success in compliance-related activities.

Natascia also deepened her technical expertise by attending the School in Technology Enhanced Chemical Synthesis from 1996 to 1999, where she learned advanced techniques in chemical synthesis that continue to inform her work in pharmaceutical and feed supplement regulatory processes. Her multi-disciplinary education has provided a strong foundation for her leadership role in compliance and regulatory affairs, combining scientific rigor with strategic management skills.

Experience 💼

Compliance Unit Director - Qualified Person - QPPV (2012–Present), Acel Pharma srl (Candioli Group), Beinasco (Torino)
Responsible for ensuring the regulatory compliance of raw materials and finished products, overseeing registration/approvals, and managing import/export activities. Works closely with various departments to ensure that all products sold comply with national and international regulations.

Quality Unit Manager & Qualified Person (2007–2012), Olon Spa (Fidia Group), Rodano (MI) and Settimo Torinese (To)
Led the harmonization of QA/QC and regulatory procedures across two sites, ensuring GMP and regulatory compliance for the company’s product portfolio. Managed communications with health authorities and conducted quality audits for suppliers.

Chemistry Department Responsible (1997–1999), Antibiotic Spa, Settimo Torinese (To)
Conducted independent research and developed experimental procedures within the research project scope.

Researcher (1996–1997), Antibiotic Spa, Settimo Torinese (To)
Developed analytical methods and processes in the field of pharmaceutical research.

Research Interests 🔬

Regulatory Compliance in Pharmaceutical Products 📜

Natascia is particularly interested in the regulatory compliance of both raw materials and finished products in the pharmaceutical industry. Her work emphasizes the critical importance of navigating complex regulatory frameworks and ensuring that all pharmaceutical products, especially those used in veterinary medicine, comply with the highest standards of food safety, quality control, and marketing.

Pharmacovigilance & Product Registration 💊

A key area of Natascia's research is in pharmacovigilance, particularly focusing on the monitoring and reporting of adverse effects for drugs, ensuring products maintain safety and compliance throughout their lifecycle. She explores the processes involved in product registration, striving to streamline the approvals and regulatory checks necessary for market entry, particularly in international markets.

Process Improvement Methodologies 🔧

Natascia is also keen on exploring process improvement methodologies within the regulatory compliance space. Her work in this area aims to enhance operational efficiency, reduce legal risks, and strengthen internal control structures. By continuously improving regulatory and operational processes, she contributes to creating a safer and more efficient regulatory environment for pharmaceutical companies, particularly in the feed supplement and veterinary drug sectors.

Awards 🏅

University Senate Award: Best Academic Graduate (1996)
Awarded for excellence in academic performance by the Presidency Council of the Italian Chamber.

OPTIME Award: Best Experimental Dissertation of the Year (1996)
Recognized by the Industrial Union for outstanding research work.

Publications 📚

"Molecular Characterization of the Gorgonzola Cheese Mycobiota and Selection of a Putative Probiotic Saccharomyces cerevisiae var. boulardii for Evaluation as a Veterinary Feed Additive" Published in Applied Microbiology, 2024, 4(2), pp. 650–664.

"Efficacy of a Dietary Supplement in Dogs with Osteoarthritis: A Randomized Placebo-Controlled, Double-Blind Clinical Trial"
Published in PLoS ONE, 2022, 17(2), e0263971.

"Chronic Kidney Disease and Dietary Supplementation: Effects on Inflammation and Oxidative Stress", Published in Veterinary Sciences, 2021, 8(11), 277.
"Chronic Intestinal Disorders in Humans and Pets: Current Management and the Potential of Nutraceutical Antioxidants as Alternatives", Published in Animals, 2022, 12(7), 812.