tuğçe oral | Environmental and Public Health | Innovative Research Award

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Assist. Prof. Dr. tuğçe oral | Environmental and Public Health | Innovative Research Award

Phd, Usküdar University, Turkey

Dr. Tuğçe Oral is an Assistant Professor at Üsküdar University, Turkey, specializing in Occupational Health and Safety. Born on April 27, 1990, she has built a career combining academic excellence with practical experience in the field of workplace safety. She earned her undergraduate degree from Istanbul University in 2012, followed by a master’s and PhD in Occupational Health and Safety from Üsküdar University. Dr. Oral has contributed extensively to the academic and professional discourse through her research on risk assessment, workplace ergonomics, and health policies. Her interdisciplinary approach integrates engineering, social sciences, and public health, making her work pivotal in advancing safer work environments. In addition to publishing multiple high-impact articles, she also mentors graduate students and has guided several master’s theses. Dr. Oral remains committed to improving worker safety standards and promoting sustainable occupational health practices both nationally and globally.

Profile

Google Scholar

Education

Dr. Tuğçe Oral’s academic journey began with a bachelor’s degree from Istanbul University in 2012. Driven by her growing interest in workplace safety and public health, she pursued a master’s degree in Occupational Health and Safety at Üsküdar University, completing it in 2020. Her dedication to deepening her expertise led her to continue her studies at the doctoral level at the same institution, culminating in a PhD in 2024. Throughout her academic career, Dr. Oral focused on the intersection of industrial operations and human health, particularly in high-risk environments such as manufacturing and energy sectors. Her research explores innovative methodologies in risk analysis, such as Fine Kinney and FMEA models, and applies them to real-world contexts, including food packaging and tourism. Her solid academic foundation has been instrumental in developing robust educational and safety programs in her field.

Professional Experience

Starting her academic career as a Research Assistant, Dr. Tuğçe Oral has steadily advanced to her current role as an Assistant Professor at Üsküdar University’s Faculty of Health Sciences. She has been deeply involved in the academic development of Occupational Health and Safety as a discipline, contributing both as an educator and researcher. Dr. Oral has supervised graduate theses focused on safety models and legal frameworks, such as her recent work on safety culture in solar power plants. Her professional portfolio includes teaching, curriculum development, and academic publishing. In addition to her university responsibilities, she engages with the wider professional community through collaborative research and peer-reviewed publications. She is known for her applied approach, bridging theoretical knowledge with field-based risk assessments and solutions. Dr. Oral’s leadership in the education of future safety professionals continues to shape standards in occupational health across Turkey and internationally.

Research Focus

Dr. Tuğçe Oral’s research is centered on occupational health, industrial safety, and ergonomic risk analysis. She focuses on evaluating workplace hazards using quantitative and qualitative methods to improve safety protocols in high-risk sectors such as energy, construction, and manufacturing. Her work employs advanced models like Fine Kinney, FMEA, DEMATEL, CODAS, and HRNS to assess and mitigate operational risks. Dr. Oral has also explored the psychosocial aspects of workplace safety, including the effects of social dynamics on treatment outcomes in substance use disorders. Her multi-disciplinary approach integrates technology, policy analysis, and public health to formulate comprehensive risk management strategies. Through her research, she aims to contribute to safer work environments by promoting preventive measures and informed regulatory practices. Dr. Oral is committed to fostering sustainability and worker well-being through innovative and evidence-based health and safety interventions.

Publication Top Notes

  1. 2016-2018 YILLARI ARASINDA SEYAHAT SEKTÖRÜNE AİT İŞ KAZASI VERİLERİNİN DEĞERLENDİRİLMESİ
    Published in Ohs Academy (2020), Cited by 14
    Summary: Evaluates travel industry work accident data from 2016–2018. Proposes improved safety interventions.

  2. MOBİLYA ATÖLYELERİNDE FINE KINNEY YÖNTEMİ İLE RİSK DEĞERLENDİRMESİ UYGULAMASI
    OHS Academy (2019), Cited by 10
    Summary: Applies Fine Kinney method for risk analysis in furniture workshops to identify critical safety hazards.

  3. İnsan sağlığı hizmetleri çalışanlarının maruz kaldığı meslek hastalığı etkenlerinin iş sağlığı ve güvenliği kapsamında incelenmesi
    Genel Sağlık Bilimleri Dergisi (2021), Cited by 9
    Summary: Analyzes occupational diseases among health service workers, recommending preventive strategies.

🧾 Conclusion

Dr. Tuğçe Oral is a highly suitable candidate for the Research for Innovative Research Award. Her combination of academic rigor, methodological innovation, and real-world relevance embodies the award’s mission to recognize forward-thinking, applicable research that contributes to societal well-being and environmental/public health. With further expansion into international networks and practical applications, she has the potential to be a transformative figure in occupational health and safety on a global scale.

Yiwei Wang | Prognostics and Health Management | Best Researcher Award

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Prof Yiwei Wang | Prognostics and Health Management | Best Researcher Award

Prof Yiwei Wang, Beihang University, China

Yiwei Wang, an Associate Professor at Beihang University, received her Ph.D. from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, in 2017. She specializes in industrial intelligence, human-robot collaborative assembly, and prognostics and health management. With extensive R&D experience in industry intelligence methods, Yiwei has contributed significantly to machinery operation and maintenance. She has published over 30 papers in SCI journals, holds eight patents, and authored a book on intelligent manufacturing engineering. In 2022, Yiwei won Beihang University’s top young talents award, solidifying her reputation as a leading expert in her field. 🌟👩‍🔬

Publication Profile

Scopus

Strengths for the Award

  1. Academic Background and Expertise: Yiwei Wang holds a Ph.D. from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, demonstrating a solid academic foundation. Her current position as an Associate Professor at Beihang University further highlights her academic credibility and dedication to research and education.
  2. Recognitions and Awards: She was honored with Beihang’s top young talents award in 2022, reflecting her exceptional contributions to her field and recognition by her peers.
  3. Research Contributions and Publications: Yiwei Wang has an extensive record of research, with more than 30 papers published in high-level SCI journals and international conferences. Her work has been recognized with Best Paper Awards at multiple international conferences, underscoring the quality and impact of her research.
  4. Patents and Intellectual Property: With eight invention patents and software copyrights, Yiwei Wang has shown her capacity for innovation and practical application of her research. This indicates her contributions to advancing technology and knowledge in her field.
  5. Leadership in Research Projects: She has played a significant role in several high-profile projects funded by major national organizations, including the National Natural Science Foundation and the Ministry of Industry and Information Technology. This demonstrates her leadership and ability to secure funding for impactful research.
  6. Editorial and Committee Roles: Yiwei Wang’s role as an editorial board member and her contributions to publishing a book on intelligent manufacturing engineering indicate her thought leadership in her field. Her involvement in national standards formulation and participation in various professional committees further highlight her active engagement and influence in the industry.

Areas for Improvement

  1. Diversity of Research Funding: While Yiwei Wang has secured funding from several prestigious national organizations, expanding her funding sources internationally could further enhance her research portfolio and visibility.
  2. Collaborative Research: Increasing collaboration with international researchers and institutions could provide additional perspectives and bolster her research’s global impact. Expanding her network beyond China could also lead to more diverse and innovative research outcomes.
  3. Community and Outreach Activities: Increasing involvement in community outreach and public engagement activities could further amplify the societal impact of her research. This would demonstrate a commitment not only to academic excellence but also to making her work accessible and beneficial to a broader audience.

Education 

Yiwei Wang earned her Ph.D. in 2017 from the National Institute of Applied Sciences of Toulouse (INSA de Toulouse), France, where she focused on advancing industrial intelligence and manufacturing processes. Her academic journey was marked by a deep engagement in mixed reality wearable devices, human-robot collaborative assembly, and health management systems. This education laid the foundation for her later work in developing innovative approaches to fault diagnostics and prognostics in engineering systems. Yiwei’s rigorous academic training equipped her with the skills and knowledge necessary to excel in both academia and industry, driving forward her career as a research leader. 🎓📘

Experience 

Yiwei Wang currently serves as an Associate Professor in the School of Mechanical Engineering and Automation at Beihang University. With several years of research and development experience in industry intelligence methods, she has focused on assembly processes and machinery operation and maintenance. Yiwei has been a leading figure in numerous projects funded by prominent organizations such as the National Natural Science Foundation and the Ministry of Industry and Information Technology. Her expertise extends to hosting and contributing to research initiatives in both civilian and military applications, showcasing her versatility and depth in industrial engineering and smart manufacturing technologies. 🏢🔧

Awards and Honors

Yiwei Wang has received multiple accolades for her contributions to engineering and industrial research. Notably, she was awarded Beihang University’s top young talents award in 2022, recognizing her exceptional achievements in academia. She has also won Best Paper Awards at several international conferences, highlighting her innovative research on intelligent assembly and human-robot collaboration. Yiwei’s influence extends beyond research, as she is an editorial board member and has contributed to national standards in China, including the formulation of GB/T41272-2022. Her numerous patents and publications further attest to her significant impact in her field. 🏆📜

Research Focus 

Yiwei Wang’s research primarily revolves around industrial intelligence and smart manufacturing. She explores mixed reality wearable devices, intelligent assembly systems, and human-robot collaborative assembly. Her work extends to knowledge-based and data-driven fault diagnostics, prognostics, and health management, which are crucial for maintaining operational efficiency and safety in industrial settings. Yiwei’s research also delves into developing advanced methodologies for predicting machinery failures and optimizing maintenance practices. This focus not only enhances production quality but also reduces downtime and costs, making her contributions highly valuable in the ever-evolving landscape of industrial engineering and automation. 🤖📈

Publications Top Notes

Frequency and phase revision technique of DS/FH signal tracking | DS/FH 信号跟踪的频率相位修正技术

Towards the industry 5.0 frontier: Review and prospect of XR in product assembly

Assembly Error Modeling and Tolerance Dynamic Allocation of Large-Scale Space Deployable Mechanism toward Service Performance

Automatic Model Creation Method of Hierarchical Parallel Network Model for Transfer Diagnosis of Rotating Machinery | 面向旋转机械迁移诊断的分层并行网络模型自动创建方法

Human-centric collaborative assembly system for large-scale space deployable mechanism driven by Digital Twins and wearable AR devices

Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating ToolWear under Variable Cutting Parameters

Conclusion

Yiwei Wang’s accomplishments and contributions make her a highly suitable candidate for the Best Researcher Award. Her strong academic background, extensive research and publication record, recognized innovations, and leadership roles within the academic and professional communities reflect her excellence in research. To strengthen her candidacy further, she might consider broadening her research collaborations and funding sources internationally and increasing her involvement in outreach activities to maximize her research impact. Nonetheless, her current achievements clearly position her as a deserving nominee for this prestigious award.