Dimitris Ziouzios | Robotics | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Dimitris Ziouzios | Robotics | Best Researcher Award

Dr. Dimitris Ziouzios | Researcher | University of Western Macedonia | Greece

Dr. Dimitris Ziouzios is a dedicated researcher at the University of Western Macedonia, whose work spans robotics, embedded systems, and FPGA-based applications. His research emphasizes the integration of intelligent systems with real-world challenges such as environmental sustainability, smart waste management, and educational robotics. With over 23 completed and ongoing research projects, Dr. Ziouzios has made impactful contributions through innovations that merge automation, machine learning, and IoT technologies. His work has led to one patent, numerous collaborations with research institutions and industry partners including CERTH, the University of Wuppertal, and local municipalities, and over 14 publications indexed in SCI and Scopus journals. His research influence is reflected in a Google Scholar record of 514 citations with an h-index of 12, and a Scopus record of 345 citations with an h-index of 10. Beyond his technical research, Dr. Ziouzios contributes to advancing smart city infrastructures and robotics education, promoting environmental awareness and empathy through technology-driven learning. His consistent scholarly output and multidisciplinary collaborations highlight his strong commitment to innovation and applied research excellence.

Publication Profile

Google Scholar

Featured Publications

Ziouzios, D., Tsiktsiris, D., Baras, N., & Dasygenis, M. (2020). A distributed architecture for smart recycling using machine learning. Future Internet, 12(9), 141.

Ziouzios, D., Karlopoulos, E., Fragkos, P., & Vrontisi, Z. (2021). Challenges and opportunities of coal phase-out in western Macedonia. Climate, 9(7), 115.

Ziouzios, D., Baras, N., Balafas, V., Dasygenis, M., & Stimoniaris, A. (2022). Intelligent and real-time detection and classification algorithm for recycled materials using convolutional neural networks. Recycling, 7(1), 9.

Ziouzios, D., Rammos, D., Bratitsis, T., & Dasygenis, M. (2021). Utilizing educational robotics for environmental empathy cultivation in primary schools. Electronics, 10(19), 2389.

Ziouzios, D., Dasygenis, M. (2023). Effectiveness of the IoT in regional energy transition: The smart bin case study. Recycling, 8(1), 28.

 

Liang Li | Robot System | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Liang Li | Robot System | Best Researcher Award

Academic Leader of the Key Laboratory | Baoji University of Arts and Sciences | China

Dr. Li Liang is an academic scholar affiliated with the Baoji University of Arts and Sciences in Baoji, China. He has contributed to the fields of mechanical engineering, composite materials, robotics, and intelligent manufacturing through a consistent body of research. His publications demonstrate expertise in process modeling, knowledge graph construction, and optimization techniques for robotic systems. With an active research profile indexed in Scopus, Li Liang has achieved recognition with multiple works cited internationally. His academic career reflects a dedication to advancing modern manufacturing technologies and their integration with artificial intelligence methods in industrial applications.

Publication Profile

Scopus

Education Background

Dr. Li Liang pursued his higher education in engineering disciplines, developing a strong foundation in mechanical sciences and computational techniques. His academic training emphasized advanced mechanics, material science, and intelligent control systems, which enabled him to engage with cross-disciplinary research in automation and industrial technologies. Through rigorous study and research training, he cultivated proficiency in analytical methods and modern computational tools. His education was centered on building both theoretical and practical expertise, allowing him to contribute effectively to innovative solutions in machining processes, robotic trajectory optimization, and composite structural analysis across applied engineering fields.

Professional Experience

As an Associate faculty member at Baoji University of Arts and Sciences, Dr. Li Liang has actively participated in teaching, research, and collaborative projects. His professional experience spans guiding students, publishing scholarly works, and engaging in joint research efforts with national and international colleagues. He has authored and co-authored numerous papers, focusing on numerical modeling, intelligent robotics, and advanced materials. His contributions also extend to integrating artificial intelligence approaches with traditional engineering processes. In addition, he has built professional collaborations with more than thirty co-authors, reflecting his ability to work in team-driven scientific environments that promote applied industrial innovations.

Awards and Honors

While specific awards and grants are not publicly listed, Dr. Li Liang has earned academic recognition through consistent citations of his research and scholarly contributions. His studies published in reputable open-access journals such as Electronics and Processes have contributed to the international research community, further solidifying his academic standing. The impact of his work, reflected in increasing citations and collaborations, signifies recognition of his scholarly achievements. His commitment to advancing research on machining knowledge graphs, composite mechanics, and robotic arm optimization highlights his academic merit and serves as a foundation for future honors and acknowledgments.

Research Focus

Dr. Li Liang’s primary research interests lie in mechanical engineering, intelligent manufacturing, composite materials, and robotics. His recent works have explored the construction of machining process knowledge graphs for route recommendations, numerical analysis of advanced braided composites, and reinforcement learning optimization for robotic grasping. These areas collectively showcase his interdisciplinary focus, combining computational intelligence with mechanical design. By addressing challenges in trajectory planning, process optimization, and structural performance, his research contributes to advancing both theoretical insights and industrial applications. His focus is on creating smart, adaptive systems that bridge materials science, artificial intelligence, and industrial engineering.

Publication Top Notes

  • Construction of a Machining Process Knowledge Graph and Its Application in Process Route Recommendation
    Published Year: 2025
    Citation: 1

  • Numerical Analysis on Mechanical Properties of 3D Five-Directional Circular Braided Composites
    Published Year: 2025
    Citation: 1

  • Improved PPO Optimization for Robotic Arm Grasping Trajectory Planning and Real-Robot Migration
    Published Year: Not listed
    Citation: 1

Conclusion

Through his academic journey, Dr. Li Liang has built a strong reputation as a researcher contributing to intelligent manufacturing and computational engineering. His publications demonstrate expertise across multiple technical domains, and his collaborative work highlights his adaptability and scholarly engagement. With a growing number of citations and impactful studies, his career reflects both innovation and academic integrity. His dedication to teaching and research at Baoji University of Arts and Sciences ensures that his contributions will continue to influence the development of advanced robotic systems, material analysis, and smart manufacturing processes in both academic and applied industrial contexts.

Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

Published on by Computer Scientists Awards

Mr. Cirilo Delgado Asencio | Mobile Robotics | Young Researcher Award

Researcher, University of Huelva, Spain

Cirilo Delgado Asencio is a skilled Industrial Electronic Engineer and Mechanical Engineer, with a strong academic foundation and a remarkable record of achievements. At just 25 years old, he is currently a Technical Researcher at the Research Center for Technology, Energy, and Sustainability at the University of Huelva. His work focuses on renewable energy, hydrogen technology, and fuel cells, areas in which he has developed extensive expertise. He has been recognized for his academic excellence and innovative contributions to energy technologies, particularly in hydrogen fuel cell applications 🌍🔋.

Publication Profile

ORCID

Education Background:

Cirilo holds a Master’s degree in Industrial Engineering from the University of Huelva (2024) and two Bachelor’s degrees in Industrial Electronic Engineering (2022) and Mechanical Engineering (2022) from the same institution. His academic performance has been exceptional, with an average grade above 8, and he has received multiple accolades, including Honor Roll distinctions and awards for his outstanding work on his final projects 🎓🏆.

Professional Experience:

In addition to his technical expertise, Cirilo has made valuable contributions to the scientific community. He worked as an external collaborator at CITES in 2021/22, where he was involved in the design and implementation of an alkaline electrolyzer for the “Ocean” project (ARIEMA). He has also taught courses on hydrogen technology and renewable energy at various academic institutions, including the University of Huelva and the University of Las Palmas de Gran Canaria 🌱📚. Currently, he is working as a researcher under the “Programa Investigo,” focusing on hydrogen technology and its application in mobility and fuel cell systems.

Awards and Honors:

Cirilo has received multiple awards, including the Cátedra Atlantic Copper Award for the best final project in Industrial Electronic Engineering (2022) and the Cátedra Gabitel H2 Award for his Mechanical Engineering final project (2022). These recognitions highlight his exceptional skills and commitment to advancing sustainable energy solutions 🌟🏅.

Research Focus:

Cirilo’s research is concentrated on the development and application of hydrogen technologies, particularly in fuel cell systems and hydrogen-powered mobility solutions. He has been involved in various innovative projects, such as HYGROBOT (a hydrogen-powered mobile robotic platform), and has contributed to key advancements in the design of electrolysis systems and hydrogen storage technologies for use in transportation 🚗⚡.

Conclusion:

With a solid academic background, impressive professional experience, and a passion for advancing clean energy solutions, Cirilo Delgado Asencio is a promising figure in the field of renewable energy. His commitment to research and teaching, combined with his drive to make a positive impact on sustainable technologies, positions him as a rising star in the energy sector 🌟🌿.

Publications:

Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: ElectroMechanical Design, Physical Implementation, and Experimental Testing
Published in Applied Sciences (2025)
DOI: 10.3390/app15095028
Impact Factor (2023): 2.5, Category: Engineering, Multidisciplinary, CiteScore: 5.3 Q1 (2023)

Electrical, Mechanical, and Aerodynamics Study to Implement a Hydrogen-Powered Fixed-Wing RPAS
Published in IEEE Transactions on Transportation Electrification (2024)
DOI: 10.1109/TTE.2024.3427015
Impact Factor (2024): 7.2, Category: Electrical & Electronic Engineering, CiteScore: 12.2 Q1 (2024)