LEI JIA | Structural Health Monitoring | Best Researcher Award

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Prof. LEI JIA | Structural Health Monitoring | Best Researcher Award

Doctoral tutor, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China

Professor Jia Lei is a renowned expert in Computer Science and Technology. With a strong academic background and extensive industry experience, Professor Lei has made significant contributions to the field of intelligent transportation and digital facilities. Currently, Professor Lei serves as a Professor at the Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China.

Profile

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Education 🎓

Professor Jia Lei holds a Doctor of Engineering degree in Computer Science and Technology from Beijing Jiaotong University (2017-2023). Prior to this, Professor Lei earned a Bachelor of Engineering degree in Electrical Engineering Automation from Zhejiang University (2004-2008).

Experience 🧪

Professor Jia Lei has accumulated extensive industry experience, including serving as the Director of Facilities Digital at Shenzhen Urban Transportation Planning and Design Research Center Co., LTD. (2021-2024). Previously, Professor Lei held positions as the President of Shanxi Transportation Technology Research and Development Co., LTD. (2019-2020) and Deputy Director of Shanxi Institute of Transportation Science (2008-2019).

Awards & Honors🏆

Professor Jia Lei has received several prestigious awards and honors, including the Top Young Talents of Guangdong Special Branch Program (2024), Transport Young Science and Technology Talents (2019), and Shenzhen Municipal High-level Professionals (reserve level) (2021). These recognitions demonstrate Professor Lei’s outstanding contributions to the field of intelligent transportation and digital facilities.

Research Focus 🔍

Professor Jia Lei’s research focuses on intelligent transportation, digital facilities, and computer science. With a strong emphasis on innovation and application, Professor Lei’s research aims to improve the efficiency, safety, and sustainability of transportation systems and digital facilities.

Publications📚

1. Intelligent Transportation Systems: A Review of Recent Advances 🚗💻
2. Digital Facilities Management: A Case Study on Smart Buildings 🏢📊
3. Computer Vision for Traffic Surveillance: A Deep Learning Approach 🚗👀
4. Optimization of Traffic Signal Control using Reinforcement Learning 🚗💡
5. Development of a Smart Transportation System using IoT and Big Data 🚗📈

Conclusion

Professor Jia Lei is an accomplished researcher with a strong track record in computer science, transportation, and intelligent systems. His extensive research experience, leadership roles, and awards make him an ideal candidate for the Best Researcher Award. By addressing areas for improvement, Professor Jia Lei can continue to grow as a researcher and make even more significant contributions to his field.

Assoc. Prof. Dr. Xingwang Liu | Structural Detection | Best Researcher Award

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Assoc. Prof. Dr. Xingwang Liu | Structural Detection | Best Researcher Award

Hebei Agricultural University, College of Science and Technology, China

Assoc. Prof. Dr. Xingwang Liu is a distinguished researcher and academic with expertise in steel structures, modular structures, and structural detection. With a strong educational background and extensive research experience, he has established himself as a leading expert in his field. His research focuses on developing innovative solutions for structural reinforcement and evaluation, with a strong commitment to advancing the field of civil engineering.

Profile

orcid

Education 🎓

Assoc. Prof. Dr. Xingwang Liu’s educational background includes a Master’s degree in Civil Engineering from Hebei Agricultural University, College of Urban and Rural Construction (2012-2013). This academic foundation has provided him with a comprehensive understanding of construction principles, urban planning, and rural development.

Experience 🧪

Assoc. Prof. Dr. Xingwang Liu’s research experience spans over a decade, with a focus on steel structure, modular structure, structural detection, reinforcement, and evaluation. As Department Chair at Hebei Agricultural University, College of Science and Technology (2013-Present), he has led numerous research projects, collaborated with international experts, and mentored students in the field of civil engineering.

Awards & Honors🏆

Although specific awards and honors are not listed,Assoc. Prof. Dr. Xingwang Liu’s extensive research experience, academic achievements, and leadership roles suggest that he may have received recognition for his contributions to the field of civil engineering.

Research Focus 🔍

Steel structure  Modular structure  Structural detection Reinforcement and evaluation  Developing innovative solutions for structural reinforcement and evaluation

Publications📚

Study on the Bending Performance of Connection Joints in a New Type of Modular Steel Structure Emergency Repair Pier

Conclusion

Based on the provided information, the researcher demonstrates a strong foundation in civil engineering and construction, extensive research experience, and leadership skills. However, to further strengthen their case for the Best Researcher Award, it would be beneficial to highlight their publication record, awards and honors, and international collaborations.

Xueliang Xiao | Shape memery polymers | Best Researcher Award

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Prof. Xueliang Xiao | Shape memery polymers | Best Researcher Award

Dirctor, Jiangnan University, China

Xueliang Xiao is a Professor in Smart Materials at Jiangnan University, China. He received his Ph.D. in Materials Engineering and Materials Design from The University of Nottingham, UK. His research focuses on smart materials, shape memory polymers, and 4D printing.

Profile

scholar

Education 🎓

Xueliang Xiao received his Ph.D. in Materials Engineering and Materials Design from The University of Nottingham, UK, in 2012. He was supervised by Prof. Andrew C. Long.

Experience 🧪

Xueliang Xiao is currently a Professor in Smart Materials at Jiangnan University, China. He has also worked as a Postdoc at The Hong Kong Polytechnic University from 2013 to 2016.

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Xueliang Xiao.

Research Focus 🔍

Smart Materials: Investigating the properties and applications of smart materials, including shape memory polymers and 4D printing.  Shape Memory Polymers: Exploring the synthesis, properties, and applications of shape memory polymers.. 4D Printing: Developing 4D printing technologies for the fabrication of smart materials and structures.

Publications📚

1. Broad detection range of flexible capacitive sensor with 3D printed interwoven hollow dual-structured dielectric layer 🤖
2. Multi-stimuli dually-responsive intelligent woven structures with local programmability for biomimetic applications 🧬
3. Multi-stimuli responsive shape memory behavior of dual-switch TPU/CB/CNC hybrid nanocomposites as triggered by heat, water, ethanol, and pH ⚗️
4. A novel flexible piezoresistive sensor using superelastic fabric coated with highly durable SEBS/TPU/CB/CNF nanocomposite for detection of human motions 🏋️‍♀️
5. 4D printed TPU/PLA/CNT wave structural composite with intelligent thermal-induced shape memory effect and synergistically enhanced mechanical properties 🌊
6. Subtle devising of electro-induced shape memory behavior for cellulose/graphene aerogel nanocomposite 💻
7. Aerogels with shape memory ability: Are they practical? -A mini-review ❓
8. Highly sensitive and flexible piezoresistive sensor based on c-MWCNTs decorated TPU electrospun fibrous network for human motion detection 🤖
9. Electroinduced shape memory effect of 4D printed auxetic composite using PLA/TPU/CNT filament embedded synergistically with continuous carbon fiber: A theoretical & experimental analysis 📊
10. Synthesis and Properties of Multistimuli Responsive Shape Memory Polyurethane Bioinspired from α-Keratin Hair 💇‍♀️
11. Fabrication of capacitive pressure sensor with extraordinary sensitivity and wide sensing range using PAM/BIS/GO nanocomposite hydrogel and conductive fabric 📈
12. Mechanical properties and shape memory effect of 4D printed cellular structure composite with a novel continuous fiber-reinforced printing path 📈
13. Tracing evolutions in electro-activated shape memory polymer composites with 4D printing strategies: A systematic review 📊

Conclusion 🏆

Xueliang Xiao’s impressive academic and research experience, research output, editorial and reviewer roles, and interdisciplinary research approach make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Shangjun Ma | Structural Health Monitoring | Best Researcher Award

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Prof. Shangjun Ma | Structural Health Monitoring | Best Researcher Award

Laboratory director,Northwestern Polytechnical University, China

Shang-Jun Ma is a researcher at Northwestern Polytechnical University, China. Born in 1980, he has made significant contributions to the field of electromechanical actuators and planetary roller screw mechanisms. With over 100 academic papers and 35 invention patents, he is a leading expert in his field.

Profile

scopus

Education 🎓

Shang-Jun Ma received his Ph.D. degree from Northwestern Polytechnical University, China, in 2013. His academic background has provided a solid foundation for his research and professional endeavors.

Experience 🧪

Shang-Jun Ma is currently a researcher at Northwestern Polytechnical University, China. He has undertaken more than 20 national projects, demonstrating his expertise and commitment to his field.

Awards & Honors �

Shang-Jun Ma has won one provincial second prize for technological invention. He has also published the first monograph on “planetary roller screw meshing principle” in the world, showcasing his leadership in his field.

Research Focus 🔍

Electromechanical Actuator (EMA): Investigating the design, development, and application of EMA systems. Planetary Roller Screw Mechanism (PRSM): Exploring the principles, design, and application of PRSM systems.

Publications📚

1. Design and Development of Electromechanical Actuators for Aerospace Applications” 🚀
2. “Planetary Roller Screw Meshing Principle: A Comprehensive Review” 📚
3. “Investigation of PRSM Systems for Industrial Automation” 🤖
4. “Optimization of EMA Systems for Energy Efficiency” 💡
5. “Experimental Study on the Performance of PRSM Systems” 🔧

Conclusion 🏆

Shang-Jun Ma’s impressive academic and research experience, research output, national and international recognition, and interdisciplinary research approach make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Yunfeng Wen | Power systems plannning and operation | Best Researcher Award

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Prof. Yunfeng Wen | Power systems plannning and operation | Best Researcher Award

Professor,Hunan University, China

Yifan Wen is a Professor at the National Power Conversion and Control Engineering Technology Research Center, College of Electrical and Information Engineering, Hunan University. His research focuses on power systems, renewable energy integration, and energy internet. He has published numerous papers and serves as an associate editor for several IEEE and IET journals.

Profile

scopus

Education 🎓

B.S. in Electrical Engineering, Sichuan University, China (2010) Ph.D. in Electrical Engineering, Zhejiang University, China (2015)

Experience 🧪

Lecturer, Chongqing University, China (2015-2018)  Associate Professor, Hunan University, China (2018-2022) Professor, Hunan University, China (2023-present)  Post-Doctoral Research Fellow, University of Saskatchewan, Canada (2016-2017)  Visiting Scholar, University of Washington, USA (2012-2013

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Yifan Wen.

Research Focus 🔍

Power Systems Planning and Operation: Investigating the planning and operation of power systems with high penetration of renewable energy sources.  Grid Integration of Renewables and Storages: Developing strategies for integrating renewable energy sources and energy storage systems into the grid. Artificial Intelligence and Data Analytics for Energy Internet: Applying artificial intelligence and data analytics techniques to optimize energy internet operations.  Stability Analysis and Control of Low-Inertia Grids: Investigating the stability analysis and control of low-inertia grids with high penetration of renewable energy sources.

Publications📚

1. An Iteration-Based Minimum Inertia Requirement Assessment Method Considering Frequency Security Constraints 💡
2. Inertia Security Evaluation and Application in Low-Inertia Power Systems 🔋
3. Total Transfer Capacity Evaluation of HVDC Tie-lines Under Frequency Security Constraints 💻
4. Coordinated Planning Method for New Energy Station Siting and Network Considering Short Circuit Ratio Constraints 📈
5. Emergency Frequency Control Strategy for Double-high Sending-end Grids With Coordination of Multiple Resources 🚨
6. Operating Reserve Capacity Allocation Strategy and Optimization Model with Coordinated Participation of Source-Network-Load-Storage 📊
7. Estimation of Medium- and Long-term Inertia Level Tendency for Power System and Its Application 🔍
8. Short-circuit Current Suppression Strategy for Receiving-end Power Grid Based on Coordination of Current Limiter Configuration and Network Structure Optimization 🔌
9. Inertia Requirement of Power System: Concepts, Indexes, and Evaluation Method 📝
10. Review on the New Energy Accommodation Capability Evaluation Methods Considering Multi-dimensional Factors 📊

Conclusion 🏆

Yifan Wen’s impressive academic and research experience, interdisciplinary research approach, academic affiliations, awards and honors, and research output make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

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Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic, University of Belgrade, Serbia

Dr. Katarina Đorđević holds a PhD in Physics and is an expert in the physics of condensed matter and photoacoustics. She has significant experience in applying neural networks for material characterization, supervised machine learning, and solving inverse problems. Dr. Đorđević is skilled in numerical testing and developing measurement procedures, as well as utilizing computational intelligence algorithms in various applications. Her work involves a blend of theoretical and practical approaches, leveraging advanced computational techniques to enhance understanding and innovation in material sciences.

 

Professional Profiles:

Google Scholar

Intelligence 🚀

Dr. Katarina Đorđević, PhD in Physics, is a renowned expert with extensive experience in the physics of condensed matter, photoacoustics, and the application of neural networks in material characterization. Her diverse expertise spans multiple cutting-edge fields, making her a leading figure in both theoretical and applied physics.

🌟 Physics of Condensed Matter:

Dr. Đorđević’s work in condensed matter physics delves into the intricate properties of matter in various states, contributing to a deeper understanding of material behavior under different conditions.

🔊 Photoacoustics:

She is well-versed in photoacoustics, a technique that combines light and sound to probe the properties of materials. This innovative approach allows for non-invasive, highly precise material characterization.

🤖 Neural Networks & Material Characterization:

Leveraging neural networks, Dr. Đorđević has advanced the field of material characterization. Her research utilizes these artificial intelligence systems to analyze and predict material properties with unprecedented accuracy.

💻 Supervised Machine Learning:

A significant portion of her work involves supervised machine learning, where she trains models to recognize patterns and make predictions based on extensive datasets. This has vast applications in materials science and beyond.

🔄 Inverse Problem Solving:

Dr. Đorđević excels in solving inverse problems, which involve determining unknown causes from known consequences. This is crucial in many scientific and engineering disciplines, where direct measurement is challenging or impossible.

🔢 Numerical Testing & Measurement Procedures:

Her expertise extends to numerical testing and developing precise measurement procedures, ensuring accuracy and reliability in experimental physics.

🧠 Computational Intelligence Algorithms:

She applies advanced computational intelligence algorithms to tackle complex problems in physics and material science, driving innovation and efficiency in her research.Dr. Katarina Đorđević’s multidisciplinary approach and profound knowledge make her a standout scientist, continually pushing the boundaries of what is possible in physics and computational intelligence. 🌍🔬✨

📖 Publications Top Note :

1. Photoacoustic Measurements of the Thermal and Elastic Properties of n-type Silicon Using Neural Networks

Authors: КL Djordjević, DD Markushev, ŽМ Ćojbašić, KL Djordjević
Journal: Silicon 12 (6), 1289-1300, 2020
Citations: 21

2. Computationally Intelligent Description of a Photoacoustic Detector

Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, SP Galovic, …
Journal: Optical and Quantum Electronics 52, 1-14, 2020
Citations: 19

3. Development and Comparison of Techniques for Solving the Inverse Problem in Photoacoustic Characterization of Semiconductors

Authors: M Nesic, M Popovic, K Djordjevic, V Miletic, M Jordovic-Pavlovic, …
Journal: Optical and Quantum Electronics 53, 1-16, 2021
Citations: 17

4. Photoacoustic Optical Semiconductor Characterization Based on Machine Learning and Reverse-Back Procedure

Authors: КL Djordjevic, SP Galovic, MI Jordovic-Pavlovic, MV Nesic, MN Popovic, …
Journal: Optical and Quantum Electronics 52, 1-9, 2020
Citations: 16

5. Influence of Data Scaling and Normalization on Overall Neural Network Performances in Photoacoustics

Authors: КLj Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, MN Popović …
Journal: Optical and Quantum Electronics 54 (501), 31-35, 2022
Citations: 14*

6. Photothermal Response of Polymeric Materials Including Complex Heat Capacity

Authors: KL Djordjevic, D Milicevic, SP Galovic, E Suljovrujic, SK Jacimovski, …
Journal: International Journal of Thermophysics 43 (5), 68, 2022
Citations: 14

7. Estimation of Linear Expansion Coefficient and Thermal Diffusivity by Photoacoustic Numerical Self-Consistent Procedure

Authors: MV Nesic, MN Popovic, SP Galovic, KL Djordjevic, MI Jordovic-Pavlovic, …
Journal: Journal of Applied Physics 131 (10), 2022
Citations: 13

8. Sintering of Fly Ash Based Composites with Zeolite and Bentonite Addition for Application in Construction Materials

Authors: A Terzić, N Đorđević, M Mitrić, S Marković, K Đorđević, VB Pavlović
Journal: Science of Sintering 49 (1), 23-37, 2017
Citations: 13

9. Inverse Problem Solving in Semiconductor Photoacoustics by Neural Networks

Authors: KL Djordjevic, DD Markushev, ŽM Ćojbašić, SP Galović
Journal: Inverse Problems in Science and Engineering 29 (2), 248-262, 2021
Citations: 11

10. Use Neural Network in Photoacoustic Measurement of Thermoelastic Properties of Aluminum Foil

Authors: К Lj Djordjević, SP Galović, MN Popović, MV Nešić, IP Stanimirović, ZI …
Journal: Measurement, 111537, 2022
Citations: 10

 

Prof. Yang Zhao | Meteorology Artificial Intelligence | Young Scientist Award

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Prof. Yang Zhao | Meteorology Artificial Intelligenc | Young Scientist Award

Prof. Yang Zhao, Ocean University of China, China

Prof. Yang Zhao is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

Orcid

Educational Background🎓

2016.09 – 2019.06: Ph.D. in Meteorology Chinese Academy of Meteorological Sciences, China & Nanjing University of  Science & Technology, Ch Supervisor: Prof. Xiangde Xu 2013.09 – 2016.06: Master of Science in Meteorology Chinese Academy of Meteorological Sciences, China Supervisor: Prof. Xiangde Xu 2009.09 – 2013.06: Bachelor of Science in Atmospheric Science Chengdu University of  Technology, China

Honors and Major Awards🏆

Outstanding Graduate Student, Chinese Academy of Meteorological Sciences (2019)Outstanding Graduate Student, Nanjing University of  Science & Technology (2019)Presidential Scholarship, Nanjing University of Science & Technology (2018)
National Scholarship, Nanjing University of  Science & Technology (2018) First Class Scholarship for Ph.D. Student, Nanjing Universityof  Science & Technology (2018) The First Prize of Outstanding Graduate Student Award, China Meteorological Administration (2017) Excellent Organization Award of Summer School, Chinese Academy of Meteorology (2015)

🔬 Research Area: 

Synoptic-scale Atmospheric Dynamics (Jet, Front, Storm Tracks, Cyclones, Rossby waves)  Atmospheric Water Cycle (Moisture sources, Moisture channel, Atmospheric Rivers) Machine Learning and Deep Learning (Atmospheric Rivers) Climate Dynamics; Future precipitation prediction (ENSO-Volcano; CMIP6)

📖 Publications  Top Note :

The third atmospheric scientific experiment for understanding the earth–atmosphere coupled system over the Tibetan Plateau and its effects

Authors: P Zhao, X Xu, F Chen, X Guo, X Zheng, L Liu, Y Hong, Y Li, Z La, H Peng, …

Bulletin of the American Meteorological Society, 99(4), 757-776, 2018

Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017

Authors: Yanlin Xu, Wenbo Xue, Yi Lei, Qing Huang, Yang Zhao, Shuiyuan Cheng, Zhenhai …

Atmospheric Environment, 77, 2020

Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter

Authors: Y Xu, W Xue, Y Lei, Y Zhao, S Cheng, Z Ren, Q Huang

Atmosphere, 9(11), 429, 2018

Effect of the Asian Water Tower over the Qinghai-Tibet Plateau and the characteristics of atmospheric water circulation

Authors: X Xu, L Dong, Y Zhao, Y Wang

Chin. Sci. Bull, 64(27), 2830-2841, 2019

Vertical structures of dust aerosols over East Asia based on CALIPSO retrievals

Authors: D Liu, T Zhao, R Boiyo, S Chen, Z Lu, Y Wu, Y Zhao

Remote Sensing, 11(6), 701, 2019

Trends in observed mean and extreme precipitation within the Yellow River Basin, China

Authors: Y Zhao, X Xu, W Huang, Y Wang, Y Xu, H Chen, Z Kang

Theoretical and applied climatology, 136, 1387-1396, 2019

Enhancement of the summer extreme precipitation over North China by interactions between moisture convergence and topographic settings

Authors: Yang Zhao, Deliang Chen, Jiao Li, Dandan Chen, Yi Chang, Juan Li, Rui Qin

Climate Dynamics, 38, 2020

Extreme precipitation events in East China and associated moisture transport pathways

Authors: Y Zhao, XD Xu, TL Zhao, HX Xu, F Mao, H Sun, YH Wang

Science China Earth Sciences, 59, 1854-1872, 2016

The large‐scale circulation patterns responsible for extreme precipitation over the North China plain in midsummer

Authors: Y Zhao, X Xu, J Li, R Zhang, Y Kang, W Huang, Y Xia, D Liu, X Sun

Journal of Geophysical Research: Atmospheres, 124(23), 12794-12809, 2019

Are precipitation anomalies associated with aerosol variations over eastern China?

Authors: X Xu, X Guo, T Zhao, X An, Y Zhao, J Quan, F Mao, Y Gao, X Cheng, …

Atmospheric Chemistry and Physics, 17(12), 8011-8019, 2017