Bayan Rihawi | Technology | Best Researcher Award

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Ms. Bayan Rihawi | Technology | Best Researcher Award

Ms. Bayan Rihawi, Aleppo university, Syria

Ms. Bayan Rihawi is a highly motivated Quality Assurance Engineer and Compliance Specialist based in Sharjah, UAE. With expertise in ISO systems (ISO9001, ISO14001, ISO45001) across various industries, including food and pharmaceuticals, she has a strong track record of managing departments, conducting audits, and ensuring compliance. She holds a Master’s degree in Food Science and Technology from Aleppo University (2023) and has extensive experience as a Senior Nutritionist and QA Specialist. Bayan also co-founded Be First Group, focusing on GMP and ISO standards. She is skilled in statistical analysis and fluent in English and Arabic. 🌐🔍

 

Publication Profile

Orcid

Education & Qualifications 🎓📚

Ms. Bayan Rihawi holds a Bachelor’s Degree in Technical Engineering with a specialization in Food Science and Technology, earned in 2017 from Aleppo University. She further pursued her academic journey and completed a Master’s Degree in Food Science and Technology from the same institution in 2023. Throughout her studies, she gained in-depth knowledge of food safety, production processes, and quality assurance, which she later applied in her professional career. Her strong academic background supports her expertise in managing ISO systems, food safety standards, and quality assurance across various industries. 🌱🎓

 

Certifications & Specialized Training 🎓📜

Ms. Bayan Rihawi has earned a range of certifications to enhance her expertise in food science, quality management, and safety. She completed a Diploma in ISO Standard- Integrated Management System (IMS) and ISO 22000:2018 – Elements of Food Safety Management Systems from Alison Educational Platform. Additionally, she holds certifications in Thermal Processing of Foods, Six Sigma, Advanced Manufacturing Process Analysis, and Supply Chain Management from prestigious institutions like Sunny State University and KAIST. Bayan also completed specialized courses in Quality Management Systems (QMS), GMP, and Cosmetic Science from renowned platforms. 🌍📚

 

Research Focus

Ms. Bayan Rihawi’s research, “The Impact of ISO 22000:2018 on Food Facilities Performance with Multiple Production Lines,” focuses on the application of ISO 22000:2018, a food safety management system, in optimizing the performance of food facilities. Her work specifically explores how implementing this standard affects operational efficiency, quality control, and safety across facilities with multiple production lines. This research falls under Food Safety Management, Quality Assurance, and ISO Systems Implementation. It provides valuable insights for enhancing food production practices, ensuring compliance with global standards, and improving overall food facility performance. 🌐✅

 

Publication Top Notes  

  • “The impact of ISO 22000:2018 on food facilities performance with multiple production lines,” CyTA – Journal of Food, 2024, DOI: [10.1080/19476337.2024.2431281] 🍴📄
    Year of Publication: 2024 🗓️

Sheng Ye | Computer Science | Best Researcher Award

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Sheng Ye | Computer Science | Best Researcher Award

Mr Sheng Ye, Tsinghua University, China

Mr. Sheng Ye 🎓 is a talented researcher in advanced computer science, specializing in deep learning and computer vision. Graduating in the top 15% from Tsinghua University with a GPA of 3.89/4.0, under the guidance of Prof. Liu Yongjin, he quickly established himself as a promising talent. His award-winning project on real-time video stylization 🏅 received the “Best Practice Award” from Kuaishou and Tsinghua University, and he has been honored with multiple scholarships, including the prestigious “Jiukun Scholarship.” Known for his impactful publications 📑 and contributions to academic conferences, Mr. Sheng Ye is well-positioned to excel in research.

Publication Profile

Scopus

Education Background 🎓

The candidate holds a strong academic record in advanced computer science, focusing on deep learning and computer vision. Graduating among the top 15% from Tsinghua University with a GPA of 3.89/4.0, they were supervised by Prof. Liu Yongjin. Recognized as an exemplary graduate, their academic achievements reflect a dedication to excellence. Early accolades include ranking within the top 10 of their grade and excelling in the national entrance exam with a score of 703. This foundation underlines their exceptional knowledge base and capability in scientific research.

Research Focus and Achievements 🔬

The candidate’s research spans innovative deep learning techniques and computer vision applications. A notable project on real-time video stylization was awarded the “Best Practice Award” by Kuaishou and Tsinghua University. Additional distinctions include winning first prize at the 16th Image and Graphics Technology and Applications Conference (IGTA). Their publication record is further strengthened by multiple scholarship awards and recognitions, including the prestigious “Tsinghua Friends – Jiukun Scholarship” in 2022–2023. This research-oriented focus positions the candidate as a strong contender for the Best Researcher Award.

Professional Experience and Contributions 💼

Through internships and student roles, the candidate has significantly impacted Tsinghua’s computing community. Leading publicity efforts in the computer science department, they manage the “JiXiaoYan” public account, curating content across various academic themes. Their professional involvement also extends to reviewing for prominent conferences and journals like CVPR, AAAI, NeurIPS, and ECCV. This experience illustrates their commitment to academic development and a thriving research community.

Key Publications 📑

  • 2024: DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation – ACM Transactions on Graphics, 43(4) 📊
  • 2024: O2-Recon: 3D Reconstruction of Occluded Objects – AAAI Conference on AI, 38(3) 🖼️
  • 2024: Online Exhibition Halls with Virtual Agents – Journal of Software, 35(3) 🌐
  • 2024: Fine-Grained Indoor Scene Reconstruction – IEEE Transactions on Visualization 📐
  • 2023: Virtual Digital Human for Customer Service – Computers and Graphics, 115 🎭
  • 2022: Audio-Driven Gesture Generation – Lecture Notes in Computer Science, 13665 🎶

Publication Top Notes

DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models

O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement

Generation of virtual digital human for customer service industry

Audio-Driven Stylized Gesture Generation with Flow-Based Model

Conclusion 🏆

The candidate’s robust educational background, innovative research, and active participation in academic communities distinguish them as a prime candidate for the Best Researcher Award. With numerous accolades, impactful publications, and a track record of community engagement, they are set to make meaningful contributions to the fields of deep learning and computer vision.

Xiaozhou Lei | Computer Science | Best Researcher Award

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Xiaozhou Lei | Computer Science | Best Researcher Award

Dr Xiaozhou Lei, shanghai university, China

Evaluation for the Best Researcher Award: Dr. Xiaozhou Lei.

Publication profile

Orcid

Research Contributions and Innovations

Dr. Xiaozhou Lei has made notable contributions to the field of image enhancement through his pioneering work on the cell vibration energy model. This model, which he first proposed, quantitatively describes the relationship between stimulus intensity and energy during cell photothermal conversion. His work has successfully applied this model to address significant challenges in low-light enhancement and image dehazing, offering a novel approach to these problems. This research represents a unique intersection of biological modeling and image processing, with potential applications across various scientific and technological domains.

Academic Achievements

Dr. Lei has demonstrated a solid academic foundation, having earned his B.S. and M.S. degrees in mechanical design and mechatronic engineering, respectively, from the Wuhan Institute of Technology. He is currently pursuing his Ph.D. in control science and engineering at Shanghai University, which underscores his commitment to advancing his expertise. Despite being early in his academic career, Dr. Lei has completed or is involved in 9 research projects, published 5 papers in SCI-indexed journals, and contributed to the field by serving as a reviewer for the Pattern Recognition Journal.

Industry and Professional Involvement

Dr. Lei’s involvement in 11 consultancy and industry projects highlights his ability to bridge the gap between academic research and practical applications. Although he has not yet published books or patents, his work has significant implications for the fields of image processing and photothermal conversion. His professional network is also expanding, as seen in his reviewer role, although he does not currently hold any editorial appointments or professional memberships.

Conclusion

Dr. Xiaozhou Lei’s innovative research on the cell vibration energy model and its application to image enhancement positions him as a strong candidate for the Best Researcher Award. His work is both original and impactful, demonstrating a deep understanding of both the theoretical and practical aspects of his field. While his academic and professional profile is still developing, his contributions thus far are promising and reflect significant potential for future advancements. Thus, he is a suitable candidate for recognition in this award category.

Publication top notes

Low-light image enhancement based on cell vibration energy model and lightness difference

Low-Light Image Enhancement Using the Cell Vibration Model

 

Chao-Ming Wang | Computer Vision | Best Researcher Award

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Prof Dr. Chao-Ming Wang | Computer Vision | Best Researcher Award

Professor, National Yunlin University of Science and Technology, Taiwan

Chao-Ming Wang is a distinguished Professor at the Department of Digital Media Design at National Yunlin University of Science and Technology (YunTech) in Yunlin County, Taiwan. With a rich background in computer science and engineering, Dr. Wang has been a pivotal figure in advancing the fields of signal processing, computer vision, tech art, and interactive multimedia design. His career spans several prestigious institutions, reflecting his commitment to both research and education. 🌟

Publication Profile

Strengths for the Award:

  1. Extensive Experience and Expertise: Dr. Chao-Ming Wang has a distinguished academic and professional background in computer science and information engineering, with degrees from National Chiao Tung University and a career spanning over four decades. His long-term commitment and extensive experience in his field are significant assets.
  2. Leadership and Contributions: His roles as the Head of the Department of Digital Media Design and Director of the Design-led Innovation Center at National Yunlin University of Science and Technology highlight his leadership and ability to influence academic and research directions. His presidency at the Taiwan Society of Basic Design and Art further showcases his impact on the broader research community.
  3. Research Focus: Dr. Wang’s research interests in signal processing, computer vision, tech art, and interactive multimedia design align with cutting-edge technologies and applications. His work in healthcare design applications is particularly relevant, given the increasing focus on integrating technology with healthcare.
  4. Professional Recognition: His long tenure as a senior specialist and faculty member at reputable institutions demonstrates his respected standing in the academic community. His ongoing involvement in significant research areas suggests a sustained impact and relevance in his field.

Areas for Improvement:

  1. Recent Research Output: While Dr. Wang has a notable background, recent updates on his research output or significant publications could provide a clearer picture of his current contributions. Ensuring visibility through recent high-impact publications or citations might enhance his candidacy.
  2. Broader Research Impact: Expanding the scope of his research to include more interdisciplinary collaborations or applications in emerging fields could strengthen his position. Highlighting any groundbreaking projects or innovations developed under his leadership would be beneficial.
  3. Visibility and Outreach: Increasing his presence in international conferences, journals, and collaborative research projects could amplify his contributions. Engaging more actively with global research communities and platforms may enhance his visibility.

Conclusion:

Dr. Chao-Ming Wang is a strong candidate for the Research for Best Researcher Award due to his extensive experience, leadership roles, and relevant research interests in computer vision, tech art, and interactive multimedia design. His contributions to the field, particularly in healthcare design, underscore his impact. Addressing areas for improvement, such as recent research output and broader visibility, could further bolster his candidacy. Overall, his distinguished career and ongoing research make him a noteworthy contender for this award.

 

Education

Dr. Wang earned his B.Sc. (1980), M.Sc. (1982), and Ph.D. (1993) degrees in Computer Science and Information Engineering from National Chiao Tung University, Hsinchu, Taiwan. His academic journey laid a solid foundation for his extensive contributions to the field. 🎓

Experience

From 1982 to 2003, Dr. Wang served as a senior specialist at the National Chung Shan Institute of Science and Technology. He then joined Yuan Ze University as a faculty member from 2003 to 2008. In 2008, he moved to YunTech, where he held leadership roles, including Head of the Department of Digital Media Design (2010-2013) and Director of the Design-led Innovation Center (2016-2017). He also served as President of the Taiwan Society of Basic Design and Art from 2010 to 2013. 🏛️

Research Focus

Dr. Wang’s research interests are diverse and include signal processing, computer vision, tech art, and interactive multimedia design. His work aims to integrate technological advancements with creative applications, particularly in healthcare design. 🔬💻

Awards

Dr. Wang’s contributions to the field have been recognized with various awards and honors throughout his career. His innovative research and leadership in academia have established him as a leading figure in his areas of expertise. 🏆

Publications

 

Peng Jiap | Mechanical Engineering | Best Researcher Award

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Dr. Peng Jiap | Mechanical Engineering | Best Researcher Award

Dr. Peng Jiap, Zhejiang University, China

Dr. Jiao Peng 🎓, male, is an assistant researcher with a Ph.D. in engineering from Zhejiang University (2021), mentored by Professor Chen Zhiping. He holds a bachelor’s degree from East China University of Science and Technology (2015). Specializing in the strength and stability of thin-walled structures and pressure-bearing equipment 💡, Dr. Peng has been involved in multiple high-profile research projects, including those funded by the National Natural Science Foundation of China. With over 20 publications, including 8 SCI papers as the first or corresponding author 📝, he has also applied for 3 national invention patents 📜.

 

Publication profile

Google Scholar

Education and Background

Jiao Peng, a male assistant researcher, achieved a postgraduate degree and holds a Ph.D. in engineering. He graduated from East China University of Science and Technology in June 2015 with a bachelor’s degree in engineering. Subsequently, he earned his doctorate from Zhejiang University in September 2021, under the supervision of Professor Chen Zhiping.

 

Research Focus

Jiao Peng’s research primarily revolves around the buckling behavior and structural stability of thin-walled cylindrical shells and plates 🛠️. His work delves into various aspects such as localized axial compression loads, initial imperfection sensitivity, and the effects of geometric defects under non-uniform in-plane compression. Peng’s studies not only contribute significantly to understanding the mechanics of these structures but also advance methodologies in experimental and numerical analyses. His expertise extends to incorporating functionally graded materials and composite structures in enhancing structural performance, crucial for applications in pressure vessels, cylindrical shells, and related engineering domains 📊.

 

Publication Top Notes