Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Assist. Prof. Dr. Chuan-De Liu is a Lecturer at the School of Future Technology, Nanjing University of Information Science and Technology 🏛️. He holds a Ph.D. in Electrical Engineering from Southeast University (2022) and was a CSC Visiting Scholar at ENSTA-IP Paris, France (2020) 🌍. His research focuses on robotic dexterous manipulation, AI-augmented visual servoing, and autonomous unmanned systems 🚁. He has published high-impact articles in IEEE-CYBER, Complex & Intelligent Systems, and Industrial Robot 📚. His expertise in robotics, AI-driven control, and industrial automation makes him a leading innovator in intelligent robotic systems 🏆✨.

Assist. Prof. Dr Chuan-De Liu, School of Future Technology, China

Profile

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Education🎓📚

Assist. Prof. Dr. Chuan-De Liu earned his Ph.D. in Electrical Engineering from Southeast University in March 2022 🎓, where he specialized in robotic planning, control, and AI-driven automation 🤖. In September 2020, he was a CSC Visiting Scholar in Robotics at ENSTA-IP Paris, France 🌍, gaining international experience in robotic dexterous manipulation and autonomous systems 🚀. He previously completed his Master’s degree (MEng) in Electrical Engineering at Southeast University in December 2016 ⚡. His strong academic background in robotics, AI, and intelligent control systems provides the foundation for his cutting-edge research in automation and robotics 🔬✨.

Honors and Awards🏆

Assist. Prof. Dr. Chuan-De Liu has received multiple prestigious awards for his contributions to robotics and engineering 🤖. In 2023, he was honored as the NUIST Excellent Supervisor for Undergraduate Thesis 🏛️. He was awarded the China Scholarship Council (CSC) Scholarship (2019) for his research in robotics at ENSTA-IP Paris, France 🌍. His Bionic-Robot research earned him a Finalist position for the Best Student Paper Award at IEEE-CYBER 2019 📜. Additionally, he won Jiangsu Province’s Outstanding Master’s Thesis Award (2018) 🏅 and secured the NaRi-Relays Scholarship (2016) for excellence in electrical engineering ⚡.

Research Focus🤖

Assist. Prof. Dr. Chuan-De Liu’s research focuses on robotics, AI-driven automation, and intelligent control systems 🚀. His expertise includes robotic dexterous manipulation, autonomous UAV systems, and motion planning for industrial robots 🤖. He develops advanced control techniques for floating wind turbines, bionic-robot movement planning, and high-precision sensing systems ⚡. His work in disturbance observer-based sliding mode control, satellite-borne calibration, and robotic vision processing enhances autonomous system performance 🌍. With a strong foundation in robotic safety, real-time motion planning, and intelligent inspection platforms, his research contributes significantly to next-generation automation and AI-driven robotics 🏆✨.

Publications📚

Reconfigurable High-Precision AC Voltage Detector for Aerospace Applications
🖊️ Authors: L. Jiang, L. Zhu, C. Liu, Q. Hou
📖 Journal: Measurement (2025)

An Adaptive Dual-Docking Force Control of Ship-Borne Manipulators for UAV-Assisted Perching
🖊️ Authors: C. Liu, S. Fang, J. Li, B. Gao
📖 Journal: IEEE-CYBER (2024)

High-Precision and Wide-Range Temperature Measurement and Control System of Satellite-Borne Calibration Blackbody
🖊️ Authors: L. Jiang, C. Liu, L. Zhu, Z. Zhang, Q. Hou
📖 Journal: Measurement (2024)

A Self-Constructed CNN Classifier for Keyhole Detection and Location
🖊️ Authors: J. Ye, B. Gao, H. Chen, W. Xu, L. Zhong, C. Liu
📖 Journal: IEEE Sustainable Power and Energy Conference (iSPEC) (2020)

Towards a Balancing Safety Against Performance Approach in Human–Robot Co-Manipulation for Door-Closing Emergencies
🖊️ Authors: C. Liu, C. Yu, B. Gao, S.A. Ali Shah, A. Tapus
📖 Journal: Complex & Intelligent Systems (2022)

Self-Protective Motion Planning for Mobile Manipulators in a Dynamic Door-Closing Workspace
🖊️ Authors: C. Liu, B. Gao, C. Yu, A. Tapus
📖 Journal: Industrial Robot (2021)

Movement Planning and Control of an Overhead Power Transmission Line Inspection Bionic-Robot
🖊️ Authors: C. Liu, J. He, B. Gao
📖 Journal: IEEE-CYBER (2019)

These publications highlight Dr. Liu’s expertise in robotics, AI-driven control, intelligent automation, and precision engineering 🤖🚀.

Mr Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. 🏆⚡📚

Academic Excellence 🎓📊

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. 🏅🔬✨

Awards and Competitions 🏆📚

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). 🏅🔢✨

Academic Engagement 🎓💼

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. 🧠🔬📊

Research Focus⚡🔬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. 🧠📊⚡