Dr Zhang Jiayang | Electrical Properties of Materials | Best Researcher Award

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Dr Zhang Jiayang | Electrical Properties of Materials | Best Researcher Award

Dr. Jiayang Zhang (Student Member, IEEE) is a dedicated young researcher born in 2000 in Liaoning Province, China 🇨🇳. He earned his B.S. in Electrical Engineering from Liaoning Institute of Technology in 2022 🎓 and is currently pursuing his Ph.D. at Northeast Electric Power University, Jilin 🔌📘. His research focuses on power conversion and control, electronic converter modeling, and renewable energy regulation ⚡🌱. With a growing publication record and technical engagement in smart grid systems, Jiayang aims to contribute to the development of sustainable and intelligent power infrastructure worldwide 🌍💡.

Dr Zhang Jiayang, Northeast Electric Power University, China

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Education 🎓

Dr. Jiayang Zhang began his academic journey in Electrical Engineering at Liaoning Institute of Technology, where he earned his B.S. degree in 2022 🎓🔌. He is currently pursuing his Ph.D. in Electrical Engineering at Northeast Electric Power University in Jilin, China (2024–2027) 🏫⚡. His doctoral studies are focused on advanced topics such as power conversion, converter control modeling, and renewable energy regulation 🌿💡. Through rigorous academic training and active research engagement, Jiayang is building a strong foundation to contribute meaningfully to the development of smarter and more sustainable power systems globally 🌍📘.

Experience 🔌

Dr. Jiayang Zhang is currently pursuing his Ph.D. in Electrical Engineering at Northeast Electric Power University, Jilin, China 🎓🔌. As a doctoral researcher, he is deeply involved in cutting-edge work on power electronic converter control, renewable energy integration, and grid stability ⚡🧠. He has contributed to multiple scholarly projects and technical publications, showcasing skills in data analysis, model development, simulation, and system validation 🧪💻. His growing experience reflects a strong commitment to addressing global energy challenges through intelligent and sustainable engineering solutions 🌱🌐.

Research Focus 🔋

Dr. Jiayang Zhang’s research focuses on advancing technologies in power electronics and renewable energy systems ⚡🔌. His primary interests include power conversion and control technology, aiming to optimize the performance of converters in dynamic power environments 🔄. He also specializes in control modeling of power electronic converters, which is crucial for improving grid stability and operational efficiency ⚙️📈. Additionally, his work on renewable energy regulation technology addresses the integration of wind and solar energy into modern power systems 🌬️☀️. His research contributes to the development of sustainable, efficient, and intelligent power grids for the future 🌍🔋.

Publications 📚

ESVG Adaptive Control Method for Fast Frequency Support of Wind Farm
✍️ Authors: Yong Sun, Haifeng Zhang, Xiaozhe Song, Yifu Zhang, Song Gao, Jiayang Zhang
📚 Journal: Energy Engineering, 2025
⚡ Theme: Adaptive control, wind energy, frequency support, renewable power systems

High Frequency Oscillation Energy Propagation in MMC-HVDC Receiving-End Converter Station
✍️ Authors: Jikai Chen, Jiayang Zhang, Li Yang, Chongbo Sun, Yinghong Hu
📚 Conference: 2023 IEEE 2nd International Power Electronics and Application Symposium (PEAS)
🔌 Theme: HVDC systems, energy propagation, converter station stability

 Analysis and Optimization of Active Power-Frequency Support Capability of Static Synchronous Compensator in Wind Farm
✍️ Authors: Jikai Chen, Jiayang Zhang, Haoru Li, Zhuang Chu, Liwei Zhang, Hongpeng Liu
📚 Journal: Automation of Electric Power Systems
🌀 Theme: Wind energy integration, STATCOM, power-frequency optimization

Mr Yongshan Du | Recycling and Circular Economy in Materials | Best Researcher Award

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Mr Yongshan Du | Recycling and Circular Economy in Materials | Best Researcher Award

Mr. Yongshan Du 🇨🇳 is an Associate Professor at the School of Business Administration, China University of Petroleum–Beijing at Karamay. His research focuses on green finance 🌱, energy policy ⚡, digital finance 💻, and sustainable development 🌍. He employs advanced econometric models 📊 like PSM-DID and Generalized Synthetic Control to evaluate policy impacts on corporate ESG performance, urban innovation, and eco-tourism planning. Mr. Du’s interdisciplinary work bridges economics, environmental science, and technology, contributing to both academic and policy landscapes. His impactful publications and commitment to carbon neutrality 🌿 make him a leading voice in environmental and financial research 🔬📘.

Mr Yongshan Du, China University of Petroleum-Beijing at Karamay, China

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Experience 💼

Mr. Yongshan Du serves as an Associate Professor at the School of Business Administration, China University of Petroleum–Beijing at Karamay 🏫🇨🇳. His academic title reflects his expertise in green development 🌍, energy economics ⚡, and digital transformation 📈. A pioneer in applying advanced econometric tools 🧮 to real-world environmental and policy challenges, he leads impactful research projects on carbon trading, ESG performance 🏢✅, and eco-entrepreneurship 💡🌿. As a scholar deeply involved in interdisciplinary innovation 💼🔬, his title encapsulates both his academic standing and leadership in advancing sustainable solutions for future economic and environmental resilience 🌐📚.

Research Focus 🔎

Mr. Yongshan Du’s research focuses on the dynamic intersections of Digital Finance 💻💰, Energy Finance ⚡📊, and Green Innovation 🌿🏭. He explores how technology-driven financial systems can support low-carbon transitions, ESG improvements, and sustainable development goals 🌍🔋. His work critically evaluates carbon trading policies, green entrepreneurship, and eco-efficiency in tourism and urban economies 🏙️🧳📉. By blending quantitative methods with policy relevance, Mr. Du contributes to reshaping economic and environmental governance through data-driven insights 📈🔎. His research promotes a greener, smarter financial future, influencing both academic circles and national policy-making platforms 🧠📑🇨🇳.

Publications 📘

“The Impact of Low-Carbon City Pilot Policies on Green Innovation Efficiency in Chinese Cities: An Empirical Analysis Based on the Multi-Period PSM-DID Model”
🧑‍🔬 Author: Yongshan Du
🔬 Focus: Green Innovation, Policy Impact, Urban Sustainability
📊 Method: Multi-Period Propensity Score Matching – Difference in Differences (PSM-DID)

📗 “Can Carbon Emission Trading Policy Improve Corporate ESG Performance? – An Empirical Test Based on the Generalized Synthetic Control Method”
🧑‍🔬 Author: Yongshan Du
🌍 Focus: Carbon Trading, ESG Performance, Environmental Economics
🧮 Method: Generalized Synthetic Control Method

🌲 “Evaluating the Sustainability of a Tourism System Based on Emergy Accounting and Emergetic Ternary Diagrams: A Case Study of the Xinjiang Kanas Tourism Area”
🧑‍🔬 Author: Yongshan Du
🏞 Focus: Sustainable Tourism, Emergy Analysis, Systems Ecology
📈 Tool: Emergy Accounting, Emergetic Ternary Diagrams

💡 “The Impact of Technology Finance Pilot Policies on the Quality of Urban Entrepreneurship in China”
🧑‍🔬 Author: Yongshan Du
🚀 Focus: Tech Finance, Urban Innovation, Policy Analysis
🏙 Context: Urban Entrepreneurship, Pilot Policy Impact

Prof Norasikin Othman | Materials Science | Best Researcher Award

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Prof Norasikin Othman | Materials Science | Best Researcher Award

Prof. Dr. Norasikin Othman is a distinguished professor in the Chemical Engineering Department at Universiti Teknologi Malaysia (UTM). With a career spanning over three decades, she has made significant contributions to chemical engineering research, particularly in liquid membrane technology and solvent extraction processes. She is a passionate educator, accomplished researcher, and active professional member in renowned engineering societies.

Prof Norasikin Othman, Universiti Teknologi, Malaysia 

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🎓 Academic Background

Prof. Dr. Norasikin Othman is a highly accomplished Chemical Engineer 🏗️ with an extensive academic background from Universiti Teknologi Malaysia (UTM). She earned her PhD in Chemical Engineering 🧪 in 2006, specializing in metal recovery using emulsion liquid membrane technology. Prior to this, she obtained her Master of Engineering (M.Eng.) in Chemical Engineering ⚙️ in 1997, enhancing her expertise in separation processes. Her journey began with a Bachelor’s degree in Chemical Engineering 🔬 in 1992, building a strong foundation in industrial applications. With her vast knowledge, she has contributed significantly to research, innovation, and academic excellence. 🚀

👨‍🏫 Professional Experience 

Prof. Dr. Norasikin Othman is a distinguished researcher and chemical engineering expert ⚙️ with extensive experience in academic evaluations, journal reviewing, and scientific conferences 🌍. She serves as a reviewer for high-impact Q1 & Q2 journals 📖, including Journal of Separation and Purification, Desalination, and Chemical Engineering Research & Design. She is also a technical evaluator panel member for major research grants, including GUP TIER 1, FRGS, and YUTP 🏆. A sought-after invited speaker 🎤, she has shared her insights at ICoST, ICCSS, and UTM seminars. Her contributions extend to book evaluations, panel reviews, and scientific committee roles. 🏅

🏆 Honors & Awards 

Prof. Dr. Norasikin Othman has received numerous prestigious awards 🏅 for her contributions to chemical engineering research and innovation 🔬. She has won multiple Gold, Silver, and Bronze Medals 🥇🥈🥉 at INATEX, MTE, and Seoul International Invention Fair, recognizing her groundbreaking work in silver recovery, dye recovery, and high-voltage demulsification ⚙️. She also received the Excellence Service Award (2008, 2012) for her dedication to academia 🎓. Notably, she earned the Best Award (MTE 2010) and Publication Award (2007) 📖. Her Bio-Inno Awards highlight her contributions to biotechnology and applied sciences, making her a distinguished researcher in her field. 🚀

🔬 Research Focus

Prof. Dr. Norasikin Othman specializes in separation processes ⚗️, with a focus on solvent extraction and liquid membrane technology 🌊. Her research aims to develop synergistic liquid membranes for removing and recovering pollutants from industrial wastewater 🚰. She explores reactive dye removal, phenol extraction kinetics, and chromium removal using eco-friendly membranes 🍃. Her innovative work on green liquid membrane formulation enhances metal and dye recovery, contributing to sustainable environmental solutions 🌍. By integrating advanced membrane fabrication 🏭, she addresses critical challenges in wastewater treatment, promoting cleaner industrial practices and efficient resource recovery 🔄.

📚 Publications

Separation of silver from photographic wastes by emulsion liquid membrane system 🧪
👨‍🏫 Authors: N. Othman, H. Mat, M. Goto
📖 Journal: Journal of Membrane Science 282 (1-2), 171-177 (2006)
📊 Citations: 210

Review of research progress on aluminium–magnesium dissimilar friction stir welding 🔩
👨‍🏫 Authors: L.H. Shah, N.H. Othman, A. Gerlich
📖 Journal: Science and Technology of Welding and Joining 23 (3), 256-270 (2018)
📊 Citations: 160

Performance of plastic wastes in fiber-reinforced concrete beams 🏗️
👨‍🏫 Authors: F.S. Khalid, J.M. Irwan, M.H.W. Ibrahim, N. Othman, S. Shahidan
📖 Journal: Construction and Building Materials 183, 451-464 (2018)
📊 Citations: 128

Easy removal of phenol from wastewater using vegetable oil-based organic solvent in emulsion liquid membrane process 🌱💧
👨‍🏫 Authors: N. Othman, N.F.M. Noah, L.Y. Shu, Z.Y. Ooi, N. Jusoh, M. Idroas, M. Goto
📖 Journal: Chinese Journal of Chemical Engineering 25 (1), 45-52 (2017)
📊 Citations: 111

Highly selective transport of palladium from electroplating wastewater using emulsion liquid membrane process ⚛️
👨‍🏫 Authors: N.F.M. Noah, N. Othman, N. Jusoh
📖 Journal: Journal of the Taiwan Institute of Chemical Engineers 64, 134-141 (2016)
📊 Citations: 90

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

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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

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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

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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. 🏆⚡📚

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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. 🧠📊⚡