Assist. Prof. Dr. Chaofeng Zhao | Signal Processing | Best Researcher Award

Assist. Prof. Dr. Chaofeng Zhao | Luoyang Normal University | China

Zhao Chaofeng is a dedicated academic and researcher specializing in digital communications, signal processing, and image processing. 📡🔍 He holds a Ph.D. in Control Engineering from Xi’an University of Technology (2020), an M.S. in Applied Mathematics from Beifang University for Nationalities (2012), and a B.S. in Applied Mathematics from Fuyang Normal University (2005). 🎓 Currently serving as a lecturer at Luoyang Normal University, he has authored 20 research papers, including 10 in prestigious journals like ND, IJBC, and CIS. 📖✍️ Additionally, he holds 4 authorized invention patents, contributing significantly to technological advancements. 🔬💡

Professional Profile:

ORCID

Suitability for Best Researcher Award

Dr. Zhao Chaofeng is a highly accomplished researcher in the fields of digital communications, signal processing, and image processing. His strong academic background, with a Ph.D. in Control Engineering, along with his M.S. and B.S. in Applied Mathematics, demonstrates a solid foundation in mathematical modeling and engineering applications.

Education & Experience 📚👨‍🏫

🎓 Ph.D. in Control Engineering – Xi’an University of Technology, 2020
🎓 M.S. in Applied Mathematics – Beifang University for Nationalities, 2012
🎓 B.S. in Applied Mathematics – Fuyang Normal University, 2005
👨‍🏫 Lecturer – School of Information Technology, Luoyang Normal University, China
✍️ Published 20 research papers, including 10 in ND, IJBC, CIS, and other top journals
🔬 Holds 4 authorized invention patents in the fields of signal and image processing

Professional Development 📡🔬📖

Zhao Chaofeng continuously expands his expertise in digital communications and signal processing through active research and publications. 📝 He contributes to the academic community by mentoring students and participating in technological advancements. 💡 His research explores innovative applications in coding and engineering mathematical methods, driving progress in modern communication systems. 📶 As a lecturer at Luoyang Normal University, he is committed to knowledge-sharing and academic excellence. 🏫 His work has received recognition through multiple patents, and he remains engaged in interdisciplinary studies to enhance the efficiency and accuracy of digital signal applications. 🚀🔍

Research Focus 🔬📡📊

Dr. Zhao’s research revolves around digital communications, signal processing, and image processing, aiming to enhance modern technology’s efficiency and reliability. 📡 His work integrates coding techniques and mathematical modeling to optimize communication systems. 📊 Through cutting-edge innovations, he explores advanced signal filtering, noise reduction, and image enhancement for various applications. 🖼️📡 His interdisciplinary approach bridges mathematics, engineering, and computational methods to develop robust solutions in data transmission and processing. 📶🔍 His contributions have significantly impacted theoretical advancements and practical applications in the field, fostering progress in modern digital communication. 🚀💡

Awards & Honors 🏆🎖️

🏅 Published 20 research papers, including 10 in ND, IJBC, CIS, and other prestigious journals
📜 4 authorized invention patents in digital communications and signal processing
🎓 Recognized for contributions in mathematical modeling and engineering applications
🌍 Active participant in international conferences and research collaborations
🏆 Awarded research grants for innovative work in digital signal and image processing

Publication Top Notes:

🔐 Delayed Chaotic Image Encryption Using Cross-Layer and DNA Coding Techniques

🖼 A Novel Image Encryption Algorithm by Delay Induced Hyper-chaotic Chen System

📖 Weakness Analyzing and Performance Improvement for Image Encryption with Chaos Across Cylinder

📊 Optimal Control of Stochastic System with Fractional Brownian Motion

📸 Image Encryption Based on Hyper-chaotic Multi-attractors

Dr. Dingguo Liang | Error Detection Award | Best Researcher Award

Dr. Dingguo Liang, University of Duisburg-Essen, Germany

Dingguo Liang is a Ph.D. candidate in Dynamical Systems and Control at Peking University, supervised by Prof. Ying Yang. With a dual background in Theoretical and Applied Mechanics (B.S.) and Economics (B.Ec.), he integrates interdisciplinary expertise into cutting-edge research. His work focuses on distributed control, estimation, and the security of cyber-physical systems. Dingguo has contributed to multiple high-impact publications and served as a reviewer for prestigious journals. His skills span Matlab, C, and Python, complemented by his teaching and mentoring experience at Peking University.

Professional Profile:

Scopus

Suitability for the Best Researcher Award: Dingguo Liang

Dingguo Liang demonstrates exceptional qualifications for the Best Researcher Award due to his outstanding contributions to dynamical systems and control. As a Ph.D. candidate at Peking University, his innovative research in distributed control, fault diagnosis, and data-driven estimation methods has addressed critical challenges in cyber-physical and interconnected systems

🎓Education

Dingguo Liang is pursuing a Ph.D. in Dynamical Systems and Control at Peking University (2019–2024), with coursework encompassing linear system theory, robust and optimal control, and advanced linear algebra for system applications. He previously earned dual bachelor’s degrees in Theoretical and Applied Mechanics (B.S.) and Economics (B.Ec.) from Peking University (2015–2019), demonstrating a strong interdisciplinary foundation. Throughout his academic journey, Dingguo has consistently excelled in rigorous theoretical studies while integrating practical applications to address complex engineering challenges.

🏢Experience

Dingguo Liang has substantial research experience in fault-tolerant control and estimation, focusing on distributed systems. He has developed innovative methods, including robust state estimation for linear and nonlinear systems, adaptive fuzzy-based fault detection, and data-driven predictive control leveraging Willems’ fundamental lemma. His solutions, often featuring plug-and-play scalability, are designed for real-world applications. Beyond research, Dingguo served as a teaching assistant, mentoring over 100 undergraduates in higher algebra, guiding their exercises, homework, and exams. Additionally, he contributes as a reviewer for prestigious journals, advancing knowledge dissemination in his field.

🏅Awards and Honors

Dingguo Liang’s achievements have been recognized through numerous honors, including the Dean’s Graduate Scholarship (2022–2023), Merit Student Award (2021, 2022), Suzhou Industrial Park Scholarship (2022), and Wong Lo Kat Scholarship (2021). These accolades highlight his academic dedication, research excellence, and commitment to innovation in system control and estimation.

🔬Research Focus

Dingguo Liang’s research centers on distributed control and estimation, fault diagnosis and tolerant control, cyber-physical system security, and data-driven estimation techniques. His work addresses critical challenges in anomaly detection, robust estimation, and optimization for interconnected and large-scale systems. Utilizing advanced methods such as adaptive fuzzy approximators and predictive control frameworks, Dingguo’s research contributes significantly to enhancing system reliability and security in real-world applications.

Publication Top Notes:

Distributed Fault Estimation and Fault-Tolerant Control of Interconnected Systems With Plug-and-Play Features
- Citations: 3
Data-Driven Distributed Collaborative Fault Detection and Isolation for Large-Scale Dynamic Processes in Simultaneous-Fault Cases
- Citations: 3
Fault Diagnosis Scheme for the Rotary Machine Group: A Deep Mutual Learning-Based Approach With Cloud-Edge-End Collaboration
- Citations: 4
Distributed Fault Detection for Uncertain Lipschitz Nonlinear Multi-Agent Systems in Finite Frequency Domain
- Citations: 5
Plug-and-Play Robust Distributed Fault Estimation for Interconnected Systems
- Citations: 7

Error Detection Award, Error Control, Error Detection Award, Error Control Recognition, Innovation in Data Accuracy