Chrysoula Florou | computer programming | Best Researcher Award

Ms. Chrysoula Florou | computer programming | Best Researcher Award

PHD Doctor, University of Thessaly, Greece

👩‍💻 Chrysoula Florou is a dedicated researcher and educator specializing in the intersection of education and programming concepts. With a strong background in computer engineering and a passion for enhancing primary education through innovative tools, she has made significant contributions to improving self-assessment practices for young learners. Beyond academia, she serves as an Officer in the Hellenic Coast Guard, showcasing her versatile professional capabilities.

Publication Profile

Scopus

Education

🎓 Chrysoula’s academic journey reflects her commitment to excellence, earning a Ph.D. (2010–2025) in Electrical and Computer Engineering from the University of Thessaly with a thesis on self-assessment in programming education (“Excellent”). She holds two master’s degrees: one in Informatics focusing on Security and Big Data (2016–2018, “Excellent”) and another in Computer Science and Technology (2009–2011, “Excellent”). Additionally, she completed a diploma in Computer Engineering (2004–2009, “Very Good”) and a certified program in E-Learning Training (2012).

Experience

🧑‍🏫 Chrysoula has extensive teaching experience in programming, database applications, and multimedia at institutions like the University of Thessaly, TEI of Lamia, and DIEK Volos. In parallel, she contributed to European research projects like “cMinds” and worked in IT roles for the Ministry of Health and National Bank of Greece. Since 2011, she has served as an Officer in the Hellenic Coast Guard, balancing her technical expertise with public service.

Awards and Honors

🏆 Chrysoula has earned numerous accolades for her academic excellence, including distinctions for her master’s theses and diploma projects. Her research outcomes have been recognized by leading journals and conferences in the education and programming domains.

Research Focus

🔬 Chrysoula’s research centers on the integration of educational technologies in programming pedagogy, particularly for primary education. She explores self-assessment tools, enhancing teacher facilitation roles, and leveraging innovative software like Scratch for fostering computational thinking in young learners.

Conclusion

🌟 Chrysoula Florou exemplifies the harmony between academia, research, and public service. Her impactful work in education technology and programming continues to inspire both educators and students, shaping the future of learning in primary education.

Publications

The Role of Educators in Facilitating Students’ Self-Assessment in Learning Computer Programming Concepts: Addressing Students’ Challenges and Enhancing Learning.  Journal of Education and Information Technologies, Springer Nature Educ. DOI: 10.1007/s10639-024-13172-2

An autodidactic programming curriculum application for early education: Pilot studies and improvement suggestions.  Proceedings of the 40th SEFI Annual Conference 2012 – Engineering Education 2020: Meet the Future.

3rd graders’ experience on using an autodidactic programming software: A phenomenological perspective. Conference Paper.

 

 

Juxian Zhao | Computer Science | Best Researcher Award

Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention