Prof. Ivan Beloev | Power Transformer | Best Researcher Award

Prof. Ivan Beloev | Power Transformer | University of Russe “Angel Kanchev” | Bulgaria

Professor Ivan Beloev, is a distinguished academic and researcher in the field of transport technology and management. He currently serves as the Head of the Center for Continuing Education and Head of the Department of Transport at Angel Kanchev University of Ruse, where he also holds a professorship. His academic journey and professional career have been deeply rooted in the same esteemed institution, where he has steadily progressed from Assistant to Associate Professor and now to Full Professor. Throughout his tenure, Professor Beloev has made significant contributions to the advancement of transport systems, sustainable mobility, and energy-efficient technologies in transportation engineering.

Professional Profile

Google Scholar

Suitability Summary

Prof. Ivan Beloev is an outstanding and visionary Bulgarian researcher, academic, and innovator whose extensive contributions to transport technology, sustainable mobility, and environmental protection make him a highly suitable candidate for the Best Researcher Award. With over a decade of academic and research experience at the University of Ruse “Angel Kanchev”, Prof. Beloev has demonstrated consistent excellence in teaching, leadership, research innovation, and international collaboration.

Education and Training

Ph.D. in Transport, Shipping, and Aviation (2014–2015)
University of Ruse “Angel Kanchev”
Dissertation Title: Development and research of a modular system for combined energy providing and monitoring of harmful emissions of road transport.
Master’s Degree in Technology and Management of Transport (2013–2014)
University of Ruse “Angel Kanchev”
Bachelor’s Degree in Technology and Management of Transport (2009–2013)
University of Ruse “Angel Kanchev”
Professional Qualification: Transport Engineer

Work Experience

Head of Center for Continuing Education (2023–Present)
University of Ruse “Angel Kanchev”
Responsible for the strategic leadership, coordination, and management of lifelong learning initiatives, promoting continuous professional development and collaboration between academia and industry.
Head of Department of Transport (2021–Present)
University of Ruse “Angel Kanchev”
Oversees academic programs, curriculum development, and departmental research in technology and transport management, ensuring academic excellence and innovation in the field.
Professor, Department of Transport (2023–Present)
University of Ruse “Angel Kanchev”
Engaged in advanced teaching, mentoring doctoral candidates, and conducting high-impact research in transport technologies and sustainable mobility systems.
Associate Professor, Department of Transport (2018–2023)
University of Ruse “Angel Kanchev”
Focused on research in transport management, emissions monitoring, and the integration of alternative energy systems in transport operations.
Assistant Professor, Department of Transport (2015–2018)
University of Ruse “Angel Kanchev”
Conducted lectures, supervised student projects, and participated in national and international transport research collaborations.
Assistant, Department of Transport (2014–2015)
University of Ruse “Angel Kanchev”
Supported teaching activities, performed laboratory work, and assisted in research related to transport technology and management.

Achievements and Specializations

Developed strong professional expertise in organizing and conducting experimental research.
Skilled in analyzing experimental data and working with various experimental and measurement equipment.
Participated in international academic and research collaborations, including Erasmus Intensive Programmes focused on sustainable transport and environmental protection technologies.
- “Powering The Future with Zero Emission and Human Powered Vehicles,” Terrassa, Spain (2011)
- “Education for Sustainable Development from the Perspective of Technologies and Materials for Environmental Protection”

Awards and Honors

2017 Young Scientist Award, Austrian Ministry of Science, Research, and Economic and Institutional Affairs and Central Europe, recognizing outstanding research contributions in transport technology.
Best Book Award (2017) – Scientific Conference of the University of Ruse and the Union of Students, for excellence in training and innovative student professional development in transport, navigation, and aviation.
Publication Excellence Recognition (2016) – For the thesis “Development and supply of a modular system for combined energy supply and monitoring of harmful emissions of road transport.”
National Assembly of the Republic of Bulgaria (2017) – Commended for leadership in HYDRU project excellence and for enhancing the reputation of the University of Ruse.
Second Prize (2018) – Research Fund Prize for design, creation, experimentation, and optimization of the “City Car Logic” powered by an alternative energy source.

Publication Top Notes

Title: A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions
Authors: M. Ozkan-Okay, E. Akin, Ö. Aslan, S. Kosunalp, T. Iliev, I. Stoyanov, I. Beloev
Year: 2024
Citations: 218
Title: A review on current and emerging application possibilities for unmanned aerial vehicles
Authors: I.H. Beloev
Year: 2016
Citations: 90
Title: Artificial intelligence-driven autonomous robot for precision agriculture
Authors: I. Beloev, D. Kinaneva, G. Georgiev, G. Hristov, P. Zahariev
Year: 2021
Citations: 85
Title: Artificial intelligence in wireless communications-evolution towards 6G mobile networks
Authors: T.B. Iliev, E.P. Ivanova, I.S. Stoyanov, G.Y. Mihaylov, I.H. Beloev
Year: 2021
Citations: 36
Title: Investigation of the tractor performance when ballasting its rear half-frame
Authors: V. Bulgakov, R. Antoshchenkov, V. Adamchuk, I. Halych, Y. Ihnatiev, I. Beloev
Year: 2022
Citations: 32
Title: A review of the characteristics of modern unmanned aerial vehicles
Authors: G.V. Hristov, P.Z. Zahariev, I.H. Beloev
Year: 2016
Citations: 31
Title: Web-based environment for virtual laboratories in the field of electrical engineering
Authors: B. Evstatiev, K. Gabrovska-Evstatieva, V. Voynohovska, I. Beloev
Year: 2019
Citations: 26
Title: Numerical simulation of processes in an electrochemical cell using COMSOL Multiphysics
Authors: I.K. Iliev, A.R. Gizzatullin, A.A. Filimonova, N.D. Chichirova, I.H. Beloev
Year: – (Not provided)
Citations: 25

Dr. Zhan Chen, Northwestern Polytechnical University, China

Chen Zhan is a dedicated Doctoral Student at the Unmanned System Research Institute of Northwestern Polytechnical University in Xi’an, China. With a strong background in Mechatronic Engineering, he is committed to advancing the field of intelligent unmanned systems. His research emphasizes multi-agent consistency, information fusion, and UAV formation control. Chen is actively involved in innovative projects that explore state estimation and planning control, contributing significantly to the evolving landscape of autonomous technologies. With a passion for collaboration and cutting-edge research, Chen is poised to make impactful contributions to the realm of unmanned systems, making him a promising figure in the scientific community.

Professional Profile

Summary of Suitability for the Award

Chen Zhan’s impressive academic credentials, relevant research experience, and notable contributions to the field of unmanned systems make him a suitable candidate for the Best Researcher Award. His work addresses significant challenges in UAV technology and showcases a commitment to advancing the field through innovative research. Granting him this award would not only recognize his individual efforts but also encourage continued exploration and advancement in unmanned systems research.

Education

Chen Zhan earned his Bachelor of Science degree in Mechatronic Engineering from Tianjin University of Science and Technology in 2018. He is currently pursuing his Ph.D. in intelligent unmanned systems science and technology at Northwestern Polytechnical University, where he is deepening his understanding of advanced technologies in autonomous systems. His academic journey has equipped him with a solid foundation in engineering principles and practical applications. Chen’s education combines theoretical knowledge with hands-on experience, enabling him to approach complex problems with innovative solutions. His commitment to academic excellence and research in unmanned systems sets a strong precedent for his future contributions to the field.

Experience

As a Doctoral Student at the Unmanned System Research Institute, Chen Zhan has engaged in various research projects focusing on multi-agent systems and UAV technologies. His work includes developing algorithms for state estimation and guidance in unmanned aerial vehicles. In addition to his research, he collaborates with peers and mentors, contributing to academic conferences and publications that advance knowledge in the field. Chen’s experience in both individual and collaborative projects has strengthened his skills in information fusion, planning control, and game guidance. His practical experiences complement his academic background, making him well-prepared to tackle challenges in intelligent unmanned systems.

Awards and Honors

Chen Zhan has received recognition for his contributions to the field of unmanned systems and robotics. His innovative research on distributed information filtering methods for state estimation has garnered attention at academic conferences, leading to publications in reputable journals. Chen’s commitment to excellence has also earned him scholarships and grants to support his studies and research initiatives. His proactive approach to learning and collaboration with established researchers enhances his visibility within the academic community, paving the way for future accolades and recognition. As he progresses in his career, Chen is poised to achieve further honors that reflect his dedication and impact in the field.

Research Focus

Chen Zhan’s research focuses on intelligent unmanned systems, with specific interests in multi-agent consistency, information fusion, and UAV formation control. His work aims to develop robust algorithms that improve state estimation and planning control in complex environments. By exploring game guidance and multi-aircraft coordination, Chen seeks to enhance the performance and reliability of unmanned systems in various applications. His dedication to advancing knowledge in these areas is evident in his active participation in research projects and conferences. Through innovative methodologies, Chen aims to contribute to the next generation of intelligent systems, fostering advancements in autonomous technologies.