Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

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Prof. Dr. Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Professor, University of Food Technologies, Bulgaria

Atanaska D. Bosakova-Ardenska is a Bulgarian researcher specializing in parallel algorithms, image processing, food quality evaluation, programming, and algorithms. She actively contributes to multidisciplinary fields through her innovative research and collaborations. With a focus on combining computer vision and food science, her work has earned recognition in academia and industry alike. 🖥️🍴📊

Publication Profile

ORCID

Education 🎓

Atanaska holds a robust academic background in computer science and engineering. Her educational journey has laid the foundation for her expertise in designing advanced algorithms and exploring their applications in practical domains like food quality assessment and educational tools. 📘💡

Experience 🌍

With years of experience in research and academia, Atanaska has published extensively in high-impact journals and contributed to international conferences. Her work bridges computer vision, parallel processing, and innovative educational methodologies, showcasing her versatility in addressing real-world challenges. 🔬🌐

Research Interests 🔎

Atanaska’s research revolves around parallel algorithms, image processing, and their applications in food quality evaluation. She is also keenly interested in advancing educational programming tools and algorithm development, striving to integrate theory with practical applications. 🧩📷📚

Awards 🏆

Throughout her career, Atanaska has received accolades for her contributions to computer science and food quality evaluation. Her commitment to interdisciplinary research and educational innovation has been recognized by peers and institutions globally. 🌟🥇

Publications 📚

Performance Evaluation of Recursive Mean Filter Using Scilab, MATLAB, and MPI (Message Passing Interface)
Published in: Engineering Proceedings, 2024-08
DOI: 10.3390/engproc2024070033

Design and Implementation of Educational Game Using Crossword Principles
Published in: Engineering Proceedings, 2024-07
DOI: 10.3390/engproc2024070012

Recent Trends in Computer Vision for Cheese Quality Evaluation
Published in: Engineering Proceedings, 2024-01
DOI: 10.3390/engproc2024060012

Application of Image Analysis Techniques for Quality Assessment of Swiss-type Cheese
Presented at: 2021 International Conference on Information Technologies (InfoTech), 2021-09-16
DOI: 10.1109/infotech52438.2021.9548462

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

Profile

ORCID

🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety