Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

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Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

Prof. Dr Adrian Tunduc | Oradea University | Romania

Prof. Dr Adrian Tunduc is a distinguished academic, researcher, and managerial professional whose career spans higher education, strategic research, and successful leadership across multiple industries. As a senior lecturer at the University of Oradea’s Faculty of Environment, he has achieved an exceptional academic performance score, far exceeding standard benchmarks, while teaching and developing key disciplines such as forest management, forest economics, quality management, tourism management, furniture technology, and wildlife resource management for both graduate and master’s students. His academic excellence is complemented by extensive experience in applied research, notably during his tenure as an associate researcher at the National Economic Research Institute of the Romanian Academy, where he led impactful projects on marketing research, feasibility studies for bio-land certification, Horizon 2020 applications, and strategic planning for the Danube microregion. Beyond academia, he has demonstrated strong business leadership through management roles in hospitality, transport, and manufacturing sectors, including transforming Vila De la Lugas into a high-performing guest facility with exceptional customer ratings. His earlier management of production and transport companies further highlights his ability to grow businesses, optimize operations, and innovate within competitive environments. Throughout his career, he has consistently delivered excellence through strategic thinking, academic rigor, and strong organizational development skills.

Profile: Google Scholar

Featured Publications

1. T., Adrian. (2010). E-Marketing in the Romanian agriculture and rural development.

2. T., Adrian. (2021). Forest governance for the future health of the planet.

3. T., Adrian. (2021). Forest economics: From theory to sustainable applications.

4. Tunduc, A. (2010). Marketing electronic în agricultură şi dezvoltarea rurală. Editura Universităţii din Oradea.

5. T., Adrian. (2018). The cluster concept for a sustainable development of thermal spa in România. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 31(23), 273–277.

6. T., Adrian. (2018). Romanian bioresources – The thermal waters as a contribution to the Romanian tourism development. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 30(23), 259–262.

Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

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Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

Prof. Ebenezer Esenogho | University of South Africa | South Africa

Prof. Ebenezer Esenogho (NRF C2-rated) is a distinguished academic and research leader recognized for his extensive contributions to Artificial Intelligence, telecommunications engineering, and digital innovation. With a strong background in computer, electronics, and communication engineering, he has built an influential career marked by advanced research, academic leadership, and international collaboration. He has produced impactful work across areas such as AI-driven wireless systems, 5G networks, cognitive radio, cybersecurity, IoT, smart grid technologies, software-defined systems, big data, and cloud computing. His scholarly influence is reflected in 920 citations from 762 documents, 40 published documents, and an h-index of 12. Prof. Esenogho has secured numerous competitive grants, awards, and research fellowships in recognition of his excellence, and he has contributed to global research advancement through participation in strategic committees, collaborative initiatives, and high-level innovation programs. He has supervised a wide portfolio of postgraduate researchers, contributed to editorial boards, reviewed international grant proposals, and chaired sessions at reputable conferences. Beyond research, he is committed to academic mentorship, capacity building, and advancing technology-driven development through community-focused initiatives. Prof. Ebenezer continues to play a leading role in shaping the future of intelligent systems, next-generation networks, and multidisciplinary innovation across regional and global research landscapes.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Esenogho, E., Mienye, I. D., Swart, T. G., Aruleba, K., & Obaido, G. (2022). A neural network ensemble with feature engineering for improved credit card fraud detection. IEEE Access, 10, 16400–16407.

  • Esenogho, E., Djouani, K., & Kurien, A. M. (2022). Integrating artificial intelligence, Internet of Things, and 5G for next-generation smart grid: A survey of trends, challenges, and prospects. IEEE Access, 10, 4794–4831.

  • Sarah, I. D. M., Ebiaredoh-Mienye, A., Esenogho, E., & Swart, T. G. (2022). A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease. Bioengineering, 9(8).

  • Nguyen, N., Duong, T., Chau, T., Nguyen, V. H., Trinh, T., Tran, D., Ho, T., … Esenogho, E. (2022). A proposed model for card fraud detection based on CatBoost and deep neural network. IEEE Access, 10, 96852–96861.

  • Arnaz, A., Lipman, J., Abolhasan, M., Hiltunen, M., … Esenogho, E. (2022). Toward integrating intelligence and programmability in open radio access networks: A comprehensive survey. IEEE Access, 10, 67747–67770.

  • Obaido, G., Ogbuokiri, B., Swart, T. G., Ayawei, N., Kasongo, S. M., Aruleba, K., … Esenogho, E. (2022). An interpretable machine learning approach for hepatitis B diagnosis. Applied Sciences, 12(21), 11127.

 

Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

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Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

Dr. Xiuyun Zhang | Tianjin University of Technology and Education | China

Dr. Xiuyun Zhang is a lecturer and researcher specializing in motor systems and their control, with a particular emphasis on multi-motor collaborative control. Her teaching covers theoretical foundations such as circuit principles and automatic control principles, while her research explores torque coordination in large-load drives, speed coordination in industrial applications, and position coordination and contour control in high-precision CNC machining. She has published over 20 SCI/EI indexed papers and more than 10 journal publications, with a record of 972 citations from 914 documents, 94 published works, and an h-index of 16. Her innovative contributions are reflected in 16 granted or filed patents, including invention and utility model patents. As a project leader, she has directed research supported by the Tianjin Natural Science Foundation Youth Project, the Tianjin Higher Education Science and Technology Development Fund, an invention patent conversion initiative, and several horizontal projects, while also contributing as a main researcher to a National Natural Science Foundation general project. With more than five completed or ongoing research projects, her work focuses on developing predictive and interactive control strategies that use speed and current as internal system variables, aiming to improve collaborative control accuracy and dynamic response in advanced motor applications.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Zhang, R., Zong, Q., Zhang, X., Dou, L., & Tian, B. (2022). Game of drones: Multi-UAV pursuit-evasion game with online motion planning by deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7900–7909.

  • Wang, D., Zong, Q., Tian, B., Shao, S., Zhang, X., & Zhao, X. (2018). Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters. ISA Transactions, 73, 208–226.

  • Dou, L., Cai, S., Zhang, X., Su, X., & Zhang, R. (2022). Event-triggered-based adaptive dynamic programming for distributed formation control of multi-UAV. Journal of the Franklin Institute, 359(8), 3671–3691.

  • Liu, D., Dou, L., Zhang, R., Zhang, X., & Zong, Q. (2022). Multi-agent reinforcement learning-based coordinated dynamic task allocation for heterogeneous UAVs. IEEE Transactions on Vehicular Technology, 72(4), 4372–4383.

  • Ye, L., Zong, Q., Tian, B., Zhang, X., & Wang, F. (2017). Control-oriented modeling and adaptive backstepping control for a nonminimum phase hypersonic vehicle. ISA Transactions, 70, 161–172.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Finite-time attitude maneuvering and vibration suppression of flexible spacecraft. Journal of the Franklin Institute, 357(16), 11604–11628.

  • Zhang, X., Zong, Q., Dou, L., Tian, B., & Liu, W. (2020). Improved finite-time command filtered backstepping fault-tolerant control for flexible hypersonic vehicle. Journal of the Franklin Institute, 357(13), 8543–8565.

 

 

Prof. Lei Zhang | Control | Best Researcher Award

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Prof. Lei Zhang | Control | Best Researcher Award

Prof. Lei Zhang , Henan University of Technology , China.

Lei Zhang 🎓 is an Associate Professor at the College of Electrical Engineering, Henan University of Technology, China 🇨🇳, and a Postdoctoral Fellow at Fuzhou University. With deep expertise in sliding mode variable structure control, robot control, motor observation, robust control, and nonlinear control 🤖⚙️, he has authored over twenty research papers 📄. His work contributes significantly to the field of linear induction motor control and observer design. A dedicated academic and researcher 📚, Lei Zhang is passionate about advancing intelligent control systems that improve efficiency and stability across electrical and robotic platforms. 🌐✨

Professional Profile

Scopus

Education & Experience 

  • 🎓 Postdoctoral Fellowship – Fuzhou University

  • 🎓 Ph.D. (Presumed) – [Details not specified, assumed based on academic role]

  • 🧑‍🏫 Associate Professor – Henan University of Technology, College of Electrical Engineering

  • 📍 Location – Zhengzhou, China

  • 📬 Contact – zhanglei@haut.edu.cn | ☎️ +86 18623715282

Summary Suitability

Dr. Lei Zhang, currently serving as an Associate Professor at the College of Electrical Engineering, Henan University of Technology, is a dedicated scholar with a strong background in advanced control systems. He also holds a Postdoctoral Fellowship at Fuzhou University. His academic pursuits are deeply rooted in the areas of sliding mode variable structure control, robot control, motor control and observation, robust control, and nonlinear control. With a consistent research record and a focus on innovation, Dr. Zhang has been nominated for the prestigious Best Researcher Award in recognition of his outstanding contributions to the field of electrical and control engineering.

Professional Development 

Lei Zhang has steadily progressed through academic ranks 📈, currently serving as an Associate Professor at Henan University of Technology. Through participation in key research projects funded by the Henan Province 🎯, including the Natural Science Youth Fund and strategic R&D initiatives, he has built expertise in control theory and engineering applications 🔬⚡. His involvement in faculty development programs, such as the Young Backbone Teachers cultivation initiative 👨‍🏫🌱, highlights his commitment to both education and innovation. Although not yet published in major indices like SCI or Scopus 📉, his body of work demonstrates strong applied research in electrical and robotic control systems. ⚙️🤖

Research Focus 

Lei Zhang’s research primarily centers on Electrical and Control Engineering 🔌📡, particularly focusing on nonlinear control, sliding mode control, and robust system design ⚙️🛠️. His work contributes to enhancing the efficiency and reliability of linear induction motors, designing adaptive algorithms, and developing advanced state and speed observers 🚗📊. These innovations are pivotal for smart robotics 🤖, automated systems, and real-time motor applications. Zhang’s specialization lies at the intersection of power electronics and intelligent control, aiming to address real-world industrial challenges through theoretical and experimental advancements 📘⚡. His expertise supports innovation in next-generation control technologies 🌍💡.

Awards & Honors 

  • 🏆 Natural Science Youth Fund Project, Henan Province (Project Code: 242300421439)

  • 🧪 Henan Provincial Key R&D Science and Technology Project (Project Code: 232102240056)

  • 🌟 Cultivation Programme for Young Backbone Teachers, Henan University of Technology

Publication Top Notes

  1. Optimizing meteorological predictions to improve photovoltaic power generation in coastal areas

    • 📘 Journal: Sustainable Energy Technologies and Assessments

    • 📅 Year: 2025

  2. Robust primary quantization step estimation on resized and double JPEG compressed images

    • 📘 Journal: Multimedia Tools and Applications

    • 📅 Year: 2025

  3. A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power

    • 📘 Journal: Energy

    • 📅 Year: 2025

    • 📑 Citations: 2

  4. A GAN-based cyclic iterative unsupervised change detection network

    • 📘 Journal: International Journal of Remote Sensing

    • 📅 Year: 2025

    • 📑 Citations: 1

  5. A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images

    • 📘 Journal: Remote Sensing (Open Access)

    • 📅 Year: 2024

  6. ResTUnet: A Novel Neural Network Model for Nowcasting Using Radar Echo Sequences by Ground-Based Remote Sensing

    • 📘 Journal: Remote Sensing (Open Access)

    • 📅 Year: 2024

  7. Wind power prediction method based on cloud computing and data privacy protection

    • 📘 Journal: Journal of Cloud Computing

    • 📅 Year: 2024

    • 📑 Citations: 1

  8. Lattice-based multi-authority ciphertext-policy attribute-based searchable encryption with attribute revocation for cloud storage

    • 📘 Journal: Computer Networks

    • 📅 Year: 2024

    • 📑 Citations: 3

  9. Efficiency-optimized Diels-Alder reactions based on random forest

    • 📘 Journal: Molecular Catalysis

    • 📅 Year: 2024

  10. Development and Application of Simulation Platform for Aquatic Movement of an Amphibious Armored Vehicle

  • 📘 Journal: Xitong Fangzhen Xuebao – Journal of System Simulation

  • 📅 Year: 2024

Conclusion

Through his extensive research, innovation-driven mindset, and scholarly leadership, Dr. Lei Zhang exemplifies the qualities celebrated by the Best Researcher Award. His impactful contributions to control system engineering not only enrich academic knowledge but also offer transformative potential for industrial applications. In recognition of his achievements, dedication, and continued excellence, Dr. Zhang is highly deserving of the Best Researcher Award.