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.

 

Erdi Sayar | Control Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Erdi Sayar | Control Engineering | Best Researcher Award

Research Assistant| Technical University of Munich | Germany

Mr. Erdi Sayar is a dedicated researcher and academic in the fields of robotics, computer science, and intelligent systems. Currently pursuing his doctoral studies at the Technical University of Munich, he has developed a strong foundation in mechatronics, electrical engineering, and computer engineering through his earlier academic journey in Türkiye and Germany. His career reflects a blend of teaching, mentoring, and innovative research, leading to impactful contributions in robotics, reinforcement learning, and optimization. With several international publications and active involvement in cutting-edge projects, he continues to advance the frontiers of intelligent robotics and autonomous systems.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Mr. Erdi Sayar began his academic path with distinction, completing his bachelor’s degree in mechatronics engineering at Kocaeli University as the valedictorian of his faculty. He further enhanced his expertise at Bochum University of Applied Sciences before advancing to RWTH Aachen University, where he earned a master’s degree in electrical engineering, information technology, and computer engineering. His thesis focused on anomaly detection in unknown environments using sensory agents, a work that received excellent recognition. He is now pursuing a doctorate in computer science at the Technical University of Munich, where he combines his interdisciplinary background to investigate advanced robotics and machine learning systems.

Professional Experience

Mr. Erdi Sayar has accumulated diverse academic and research experience across several prestigious institutions. He currently serves as a research assistant at the Technical University of Munich, where he also contributes to teaching courses on cognitive systems. Earlier, he worked as a student assistant at RWTH Aachen University and later as a research assistant at the Izmir Institute of Technology, contributing to teaching system analysis, control, and applied mathematics. His experience also includes a position at the Turkish-German University in Istanbul, where he supported teaching and research activities. Beyond academic duties, he actively mentors students at both undergraduate and postgraduate levels, guiding them in advanced robotics research.

Awards and Honors

Throughout his academic career, Mr. Erdi Sayar has consistently distinguished himself through remarkable achievements. He was ranked first in his faculty of engineering at Kocaeli University, graduating with top honors among more than a thousand students. His pursuit of lifelong learning is evident through his certifications, such as the EU open category drone pilot license and participation in international summer schools on robotics and drone technologies. He has also been recognized for his contributions to applied robotics research and teaching assistance across multiple universities. Additionally, his voluntary contributions to the community highlight his commitment to academic excellence and social responsibility.

Research Focus

Mr. Erdi Sayar’s research lies at the intersection of robotics, reinforcement learning, optimization, and control systems. His work focuses on developing intelligent methods for robotic manipulation, curriculum learning, and autonomous exploration in dynamic environments. He has contributed to the advancement of hierarchical optimization, evolutionary algorithms, and hindsight experience replay to improve robotic decision-making in complex scenarios. His publications demonstrate innovative approaches such as diffusion-based curriculum learning and evolutionary reinforcement techniques. By combining machine learning with robotic systems, his research aims to design adaptable and efficient robots capable of addressing real-world challenges in automation, autonomy, and human-robot interaction.

Publications Top Notes

  • Toward coordinated planning and hierarchical optimization control for highly redundant mobile manipulator
    Published Year: 2024
    Citation: 11

  • Curriculum learning for robot manipulation tasks with sparse reward through environment shifts
    Published Year: 2024
    Citation: 2

  • Diffusion-based Curriculum Reinforcement Learning
    Published Year: 2024
    Citation: 3

  • Multi-Objective Evolutionary Hindsight Experience Replay
    Published Year: 2024
    Citation: 1

  • Contact Energy Based Hindsight Experience Prioritization
    Published Year: 2024
    Citation: 3

Conclusion

Mr. Erdi Sayar exemplifies a modern researcher whose work bridges engineering and computer science with practical applications in robotics and intelligent systems. His academic achievements, professional experience, and strong publication record highlight a career dedicated to advancing scientific knowledge and supporting student development. With his interdisciplinary expertise, he is well-positioned to contribute to future innovations in robotics and artificial intelligence. His blend of technical excellence, mentoring, and community involvement underscores his role as a committed scholar and researcher, making meaningful contributions both in academia and society.

Ms. Zhengrong Xiang | Control Science | Young Scientist Award

Published on by Computer Scientists Awards

Ms. Zhengrong Xiang | Control Science | Young Scientist Award

Teaching assistant, School of Physics and Information Engineering, Guangxi Science and Technology Normal University, China

Xiang Zhengrong is a dedicated researcher and educator in Control Science and Engineering with expertise in Unmanned Aerial Vehicle (UAV) Systems 🚀. She holds a Master of Engineering degree and currently serves as a full-time teacher at the School of Physics and Information Engineering, Guangxi Science and Technology Normal University 🏫. With a strong background in control theory, automation, and UAV research, she actively contributes to cutting-edge technological advancements. As a member of the Guangxi Automation Society, she is committed to fostering innovation in aerospace control systems and automation technologies.

Publication Profile

🎓 Education

Xiang Zhengrong has a strong academic foundation in engineering and automation. She earned her Master’s degree in Control Science and Engineering 🎓 from Guangxi University of Science and Technology (2019-2022). Before that, she completed her Bachelor’s degree in Electrical Engineering and Automation ⚡ from Chongqing Three Gorges University (2017-2019). Her early technical education began at Chongqing Vocational and Technical College of Industry and Trade (2014-2017), where she specialized in Refrigeration and Air-conditioning Technology ❄️.

💼 Experience

Since July 2022, Xiang Zhengrong has been a full-time faculty member at Guangxi Science and Technology Normal University 📚. She has also served as a visiting teacher at the School of Automation, Guangxi University of Science and Technology 🏛️. With a keen interest in automation and UAV simulation, she has worked on multiple research projects related to UAV flight control, semi-physical simulation systems, and industrial automation technologies 🔬.

🏆 Awards and Honors

Xiang Zhengrong has actively contributed to research and academia, earning recognition for her work. She has secured funding for multiple research projects, including collaborations with Shenzhen Silop Technology Co., Ltd., and has received research grants from the Guangxi Education Science “14th Five-Year Plan” 📜. Her contributions to UAV technology and automation research have been widely recognized within academic and industrial communities 🏅.

🔬 Research Focus

Her primary research interests revolve around Unmanned Aerial Vehicle (UAV) Systems, Control Theory, and Automation ✈️. She specializes in semi-physical simulation systems, flight controller development, and innovative training models for engineering students 🎯. She has also participated in key projects related to electromagnetic interference technologies, capacitive touchscreens, and AI-driven microgrid control systems ⚙️.

🔖 Conclusion

With a passion for engineering and innovation, Xiang Zhengrong continues to push the boundaries of UAV system research and automation 🚀. As a dedicated educator and researcher, she actively contributes to cutting-edge technological advancements and interdisciplinary collaborations. Her scientific publications in reputed journals and research project involvements highlight her commitment to excellence in automation and aerospace control systems 🌍.

📚 Publications

New Generalization and Refinement of the Local Fractional Integral Cauchy–Schwartz Inequality on Fractal Space – Thermal Science, 2025 (In press, SCI Journal)

Hölder Type Inequality for Conformable Fractional Integral and Some Related Results – Thermal Science, 2025 (In press, SCI Journal) 🔗

An improved UWB indoor positioning approach for UAVs based on the dual-anchor model – Sensors, 2025 (In press, SCI Journal) 🔗

Design of DC motor position tracking system based on LQR – Journal of Physics: Conference Series, 2021 🔗

Time Series Generation Adversarial Network Controller Based on Optimal Control of Micro-Grids – 2nd International Conference on Futuristic Technologies (INCOFT), 2023 🔗 [DOI: 10.1109/INCOFT60753.2023.10425311]

Design of hardware-in-the-loop simulation system based on Pixhawk flight control – Journal of Physics: Conference Series, 2021 🔗