Xueliang Xiao | Shape memery polymers | Best Researcher Award

Published on 13/03/202513/03/2025 by Mechanics Awards

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.

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

Published on 13/03/202513/03/2025 by Mechanics Awards

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.

Kyunghyune Rhee | Machin Learning Security | Best Researcher Award

Published on 17/08/202417/08/2024 by Mechanics Awards

Prof Dr. Kyunghyune Rhee | Machin Learning Security | Best Researcher Award

Prof. Pukyong National University, South Korea

Dr. Kyung-Hyune Rhee is a Full Professor in the Division of Computer and Artificial Intelligence Engineering at Pukyong National University, Busan, South Korea. He holds a Ph.D. in Mathematics from KAIST and has extensive experience in academia and research, with work spanning across the USA, Japan, Australia, and the Philippines. Dr. Rhee has held various academic and leadership roles, including Head of Departments and Visiting Scholar positions. His research interests include blockchain, cybersecurity, and vehicular cloud computing, with numerous publications in high-impact international journals and conferences over the last five years. He is an active member of several professional societies.

Professional Profiles:

scopus

Education 🎓

Ph.D. in Mathematics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (1988-1992)🎓 M.Sc. in Applied Mathematics, KAIST, Daejeon, Korea (1984-1985)🎓 B.Sc. in Mathematics Education, KyungPook National University, Daegu, Korea (1978-1982)

Membership in Professional Societies 👥

Member of IEEE Computer Society👥 Member of IASTED (The International Association of Science & Technology for Development)👥 Member of International Association Cryptology Research👥 Vice President, The Korean Multimedia Society (KMMS)👥 Former President of the Korean Information Institute of Security and Cryptology (KIISC)👥 Associate Editor of Journal of KMMS

Countries of Work Experience🌏

USA, Australia, Japan, Korea, and The Philippines

Employment Record 🏢

Employer: Pukyong National University, Busan, Korea💼 Position: Full Professor, Division of Electronic, Computer and Telecommunication Engineering, College of Engineering🔹 Roles: Head of Dept. of Computer Science (M. Sc /M. Eng and Ph.D. Courses), Graduate School; Head of Dept. of Information Security (M. Sc /M. Eng and Ph.D. Courses), Graduate School

Dr. Kyung-Hyune Rhee for Best Researcher Award

Strengths for the Award:

Extensive Academic and Professional Experience: Dr. Kyung-Hyune Rhee has an impressive academic background, with a Ph.D. in Mathematics from the Korea Advanced Institute of Science and Technology (KAIST), and a long-standing career in both academia and research. His role as a Full Professor at Pukyong National University, with responsibilities including leading graduate departments and programs, showcases his leadership and expertise in the field.
Diverse International Exposure: Dr. Rhee has worked in several countries, including the USA, Australia, Japan, Korea, and the Philippines, which has broadened his research perspective and allowed him to collaborate with international scholars. His positions at prestigious institutions like the University of Tokyo, Kyushu University, and the University of Adelaide highlight his global recognition.
Prolific Research Contributions: Dr. Rhee has a substantial number of publications, particularly in the fields of information security, cryptography, and machine learning. His research covers a wide range of topics, including blockchain, deep learning, vehicular cloud computing, and privacy-preserving protocols. The diversity of his research topics demonstrates his adaptability and relevance to current technological challenges.
Leadership in Professional Societies: Dr. Rhee holds memberships in prominent professional societies such as IEEE Computer Society and the International Association for Cryptologic Research. His leadership roles, including Vice President of the Korean Multimedia Society and former President of the Korean Information Institute of Security and Cryptology, underline his influence and standing in the research community.
Recognition and Editorial Responsibilities: His role as an associate editor for the Journal of KMMS and other editorial duties further establish his authority in the field, as he contributes to shaping the direction of academic research in multimedia and security.

Areas for Improvement:

Recent Research Output: While Dr. Rhee’s research contributions are significant, there seems to be a concentration of publications from a few years ago. To remain highly competitive for the Best Researcher Award, a consistent stream of high-impact research in recent years would strengthen his profile.
Focus on Emerging Trends: As the field of AI and security evolves, continuing to address emerging trends such as quantum computing security, AI ethics, and the intersection of AI with other technologies could enhance the relevance and impact of his research.
Collaboration with Industry: Increasing collaboration with the industry could lead to practical applications of his research, offering solutions to real-world problems and potentially increasing the societal impact of his work.

✍️Publications Top Note :

Transparent and Accountable Training Data Sharing in Decentralized Machine Learning Systems
Computers, Materials and Continua, 2024
This open-access article discusses mechanisms for transparent and accountable data sharing in decentralized machine learning systems, addressing concerns of data integrity and privacy.

Towards Trustworthy Collaborative Healthcare Data Sharing
Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine, 2023
This conference paper explores collaborative data sharing in healthcare using blockchain to ensure trustworthiness and security.

A Blockchain-Based Auditable Semi-Asynchronous Federated Learning for Heterogeneous Clients
IEEE Access, 2023
This open-access article presents a blockchain-based approach to federated learning, focusing on the challenges of heterogeneity in client data and asynchronous updates.

A Blockchain-Assisted Distributed Edge Intelligence for Privacy-Preserving Vehicular Networks
Computers, Materials and Continua, 2023
This paper addresses privacy concerns in vehicular networks using blockchain-assisted edge intelligence, contributing to the field of smart transportation.

A Blockchain-Based CCP Data Integrity Auditing Protocol for Smart HACCP
Lecture Notes in Electrical Engineering, 2023
This conference paper proposes a blockchain-based protocol for auditing data integrity in smart Hazard Analysis and Critical Control Points (HACCP) systems.

BPFL: Blockchain-Enabled Distributed Edge Cluster for Personalized Federated Learning
Lecture Notes in Electrical Engineering, 2023
This paper introduces BPFL, a framework that leverages blockchain for secure and personalized federated learning in distributed edge networks.

Personalized Federated Learning for Heterogeneous Data: A Distributed Edge Clustering Approach
Mathematical Biosciences and Engineering, 2023
This open-access article discusses a distributed edge clustering approach for personalized federated learning, addressing challenges posed by heterogeneous data sources.

Commentary: Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System
Frontiers in Public Health, 2023
This commentary explores the integration of blockchain and deep learning for analyzing electronic health records, emphasizing the importance of data security in healthcare.

A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks
Lecture Notes in Computer Science, 2023
This conference paper presents a framework for privacy-preserving edge intelligence in vehicular networks, contributing to advancements in smart and secure transportation systems.

Conclusion:

Dr. Kyung-Hyune Rhee is a highly accomplished researcher with a robust track record in the field of information security and cryptography. His diverse academic background, extensive publication record, and leadership roles in professional societies make him a strong candidate for the Best Researcher Award. By continuing to innovate and publish cutting-edge research while expanding his collaborations, Dr. Rhee will maintain and enhance his position as a leader in his field.

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Published on 31/05/202431/05/2024 by Mechanics Awards

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Dr. Zahraa Mohammed, Babylon university, Iraq

Dr. Zahraa Mohammed 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:

Scopus

🎓 EDUCATION HISTORY 🎓

Bachelor of Science in Computer Science, 2006Master of Computer Science, 2016Doctoral Student

💼 WORK EXPERIENCE 💼

Teacher at University of Babylon, Iraq 📚

🔍 RELEVANT SKILLS 🔍

Fluency in English

📖 Publications Top Note :

Article: Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Authors: Mohammed, Z.A.; Gheni, H.Q.; Hussein, Z.J.; Al-Qurabat, A.K.M.

Published in: Engineering, Technology and Applied Science Research, 2024, 14(1), pp. 12694–12701

Abstract: [Abstract not available]