Assoc. Prof. Dr Besey Ören | Structural Health Monitoring | Best Researcher Award

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Assoc. Prof. Dr Besey Ören | Structural Health Monitoring | Best Researcher Award 

Istanbul, University of health Science, Turkey

Assoc. Prof. Dr. Besey Ören is a distinguished academic and healthcare professional with a strong background in internal medicine nursing, intensive care nursing, emergency nursing, nephrology nursing, and cardiology nursing. With over three decades of experience, Ören has established herself as a leader in her field, serving as a faculty member, department head, and editor. Her dedication to nursing education and research has earned her numerous awards and honors, including the title of Associate Professor in Internal Medicine Nursing.

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🎓 Education

Ören graduated with honors from Florence Nightingale School of Nursing in 1990. She completed her master’s degree in 1997 and her doctorate in 2010. Ören received the title of Assistant Professor in 2014 and Associate Professor in 2021. Her educational background has provided a solid foundation in nursing principles and prepared her for a career in research and education. Ören has also participated in various certificate programs, including Intensive Care Nursing courses in the USA.

👨‍🔬 Experience

Ören has accumulated extensive experience in nursing education, research, and practice. She has worked as a nurse, head nurse, faculty member, and department head at various institutions, including Istanbul University and Health Sciences University. Ören has served as the President of the Turkish Intensive Care Nurses Association and has been involved in numerous professional associations. Her experience has equipped her with a deep understanding of nursing principles and practices.

🔍 Research Interest

Ören’s research focus lies in internal medicine nursing, intensive care nursing, emergency nursing, nephrology nursing, and cardiology nursing. She has published numerous papers and book chapters on these topics and has presented at international and national conferences. Ören’s research aims to improve nursing practices and patient outcomes.

Awards and Honors 🏆

Ören has received numerous awards and honors for her contributions to nursing education and research. She has been recognized for her expertise in intensive care nursing and has served as an editor and scientific board member for various journals. Ören has also received scholarships for her research and has been involved in various projects and grants.

📚 Publications

“Investigation of the Effect of Sleep Hygiene Training on Obstructive Sleep Apnea Symptoms, Fatigue, and Sleep Quality In Patients With Atrial Fibrillation”

Conclusion

Assoc. Prof. Dr. Besey Ören’s extensive experience, leadership roles, research productivity, editorial and scientific contributions, and professional service make her a strong candidate for the Best Researcher Award. While there are areas for improvement, Ören’s achievements and contributions to nursing education and research demonstrate her qualifications for this award.

Assoc. Prof. Dr Chandra Mohan | Biosensors | Best Researcher Award

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Assoc. Prof. Dr Chandra Mohan | Biosensors | Best Researcher Award

Associate Professor, K R Mangalam University, Gurugram, India

As an Associate Professor of Chemistry, I possess a solid foundation in chemical sensors, transition metal chemistry, and heterocyclic complexes. With expertise in bimetallic complex synthesis and electrochemical sensor fabrication, I leverage my analytical and problem-solving skills to design and execute experiments with precision and accuracy. My passion for scientific discovery drives me to contribute to cutting-edge research in chemistry.

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🎓 Education

– Ph.D. in Inorganic Chemistry: Guru Gobind Singh Indraprastha University, Delhi (2018)- M.Phil. in Inorganic Chemistry: University of Delhi (2009)- (link unavailable) in Applied Chemistry: Maharshi Dayanand Saraswati University, Ajmer (2007)- (link unavailable) in Physics, Chemistry, Maths: S P C Government College, Ajmer (2005)

👨‍🔬 Experience

– *Associate Professor*: K. R. Mangalam University, Gurugram (2023-Present)- *Assistant Professor*: K. R. Mangalam University, Gurugram (2013-2023)- *Assistant Professor*: HMRITM College, Delhi (2010-2011)

Awards and Honors 🏆

– *Research Collaborations*: Institute of Biotechnology, St. John’s University, Queens, New York, USA; Centre for Environmental Studies, Main Campus, Windhoek, Namibia; and others- Ph.D. Guidance: 5 students (3 awarded, 2 ongoing); (link unavailable) students (1); (link unavailable) students (15)

🔍 Research Interest

– *Chemical Sensors*: Synthesis and characterization of metal complexes for sensor applications- *Transition Metal Chemistry*: Bimetallic complex synthesis and applications- *Heterocyclic Complexes*: Synthesis and biological activity of heterocyclic compounds

📚 Publications 

1. Synthesis and characterization of Schiff based metal complexes and their application as chemical sensors 📚
2. Experimental and Theoretical Studies of Structural, Electronic and Optical Properties of Titanate Nanostructures 🔍
3. Synthesis, Characterization and Potential Applications of Conducting Polymer Nanocomposites 💡
4. Synthesis and Medicinal Applications of Quinazoline Derivatives 🏥
5. Degradation of Toxic Dyes from Wastewater using Chemical Methods 🌎
6. Removal of toxic pollutants using advanced oxidation processes 💧
7. Synthesis and biological activity of heterocyclic compounds as Anti-Inflammatory agents

Conclusion

Based on the provided information, the candidate exhibits a strong research background, extensive experience, and global collaborations, making them a suitable contender for the Best Researcher Award. However, quantifying research output and highlighting innovative contributions would further solidify their application ¹.

Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

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Prof. Dr. Jasenka Gajdoš Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ¹.

Profile

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🎓 Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

👨‍🔬 Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

🔍 Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions 💨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ¹ ².

Dr. Seyed Abolfazl Aghili | machine learning and deep learning | Best Review Paper Award

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Dr. Seyed Abolfazl Aghili | machine learning and deep learning | Best Review Paper Award

lecturer, Siran university of science and technology, Iran

Seyed Abolfazl Aghili is a civil engineer and researcher with expertise in construction engineering and management. He holds a Ph.D. in Civil Engineering from Iran University of Science and Technology (IUST). His research focuses on machine learning, resiliency, and building information modeling (BIM). Dr. Aghili has published several papers in reputable journals and has presented his work at international conferences. He is fluent in Persian and English and has skills in various software, including Python, MS Project, and Autodesk AutoCAD.

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Education 🎓

Ph.D. in Civil Engineering, Construction Engineering and Management, Iran University of Science and Technology (IUST), 2019-2024 (link unavailable) in Civil Engineering, Construction Engineering and Management, Iran University of Science and Technology (IUST), 2013-2015 (link unavailable) in Civil Engineering, Isfahan University of Technology (IUT), 2009-2013

Experience 💼 

Researcher, Iran University of Science and Technology (IUST), 2019-2024  Graduate Research Assistant, Iran University of Science and Technology (IUST), 2013-2015  Undergraduate Research Assistant, Isfahan University of Technology (IUT), 2009-2013

Awards and Honors🏆

Ranked 5th among 2200 participants in Nationwide University Entrance Exam for Ph.D. program in Iran, 2019 Ranked 2nd among all construction management students in Iran University Science and Technology, 2013-2015 Ranked 220th among 32,663 participants (Top 1%) in Nationwide University Entrance Exam for (link unavailable) program in Iran, 2013

Research Focus

Machine learning and deep learning methods  Resiliency  Building Information Modeling (BIM)  Human Resource Management (HRM)  Decision Making Systems for Project Managers

Publications 📚

1. Artificial Intelligence Approaches to Energy Management in HVAC Systems: A Systematic Review 🤖
2. Data-driven approach to fault detection for hospital HVAC system 📊
3. Feasibility Study of Using BIM in Construction Site Decision Making in Iran 🏗️
4. Review of digital imaging technology in safety management in the construction industry 📸
5. The role of insurance companies in managing the crisis after earthquake 🌪️
6. The need for a new approach to pre-crisis and post-crisis management of earthquake 🌊

Conclusion

Seyed Abolfazl Aghili is an exceptional researcher with a strong academic background, interdisciplinary research experience, and a notable publication record. His teaching and mentoring experience, as well as his technical skills, demonstrate his commitment to education and research. While there are areas for improvement, Dr. Aghili’s strengths make him a strong candidate for the Best Researcher Award.

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.

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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.

Zicheng Xin | intelligentialization | Best Researcher Award

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Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

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Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition 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 significant contributions to the field of metallurgy.

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.

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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.

Tegegne Getachew | Analysis of partial differential equations | Best Researcher Award

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Assist. Prof. Dr Tegegne Getachew | Analysis of partial differential equations | Best Researcher Award

Assistant professor in the analysis of partial differential equations, Mekdela Amba University, Ethiopia

Tegegne Getachew is an Assistant Professor with a Ph.D. in the analysis of partial differential equations from Bahir Dar University. His research focuses on applied analysis, mathematical physics, and nonlinear partial differential equations.

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Education 🎓

Tegegne Getachew holds a Ph.D. in the analysis of partial differential equations from Bahir Dar University (2024), an MSc. in Algebra from the University of Gondar (2014), and a BSc. in Applied Mathematics from Samara University (2011).

Experience 🧪

Tegegne Getachew has worked as an Assistant Professor at Mekdela Amba University (2017-present) and Wollo University (2011-2017). He has also held various administrative positions, including Director for the library at Mekdela Amba University and Registrar at the College of Natural and Computational Sciences.

Awards & Honors 🏆

Unfortunately, the provided text does not mention specific awards or honors received by Tegegne Getachew.

Research Focus 🔍

Applied Analysis: Investigating mathematical models and techniques for solving problems in physics, engineering, and other fields.  Mathematical Physics: Examining the mathematical foundations of physical theories, such as quantum mechanics and relativity. Nonlinear Partial Differential Equations: Studying equations that describe complex phenomena in physics, biology, and other fields.

Publications📚

1. On the persistence of spatial analyticity for generalized KdV equation with higher order dispersion 🌊
2. New asymptotic lower bound for the radius of analyticity of solutions to nonlinear Schrodinger equation ⚡️
3. Propagation of radius of analyticity for solutions to a fourth order nonlinear Schrodinger equation 🌈
4. On the radius of spatial analyticity for the quintic fourth-order nonlinear Schrodinger equation on R^2 🔍
5. Lower bounds of spatial analyticity radius for Benjamin-Bona-Mahony equation on the circle 🌐
6. New lower bounds of spatial analyticity radius for the Kawahara equation 🌊
7. Lower bounds on the radius of spatial analyticity for solutions to the higher dimensional fourth-order nonlinear Schrodinger equation 🔍
8. New lower bound for the radius of analyticity for the modified 2D Zakharov-Kuznetsov equation 🌊

Conclusion 🏆

Tegegne Getachew’s impressive academic and research experience, research output, interdisciplinary research approach, and leadership and service skills 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.

Nahid Entezarian | Machine Interaction | Best Researcher Award

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Ms. Nahid Entezarian | Machine Interaction | Best Researcher Award

Author, University of Mashhad, Mashhad, Iran

Nahid Entezarian is a Ph.D. candidate in Information Technology Management at Ferdowsi University of Mashhad. Her research interests include text mining, data mining, NeuroIS, artificial intelligence, machine learning, and research methodology in information systems.

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Education 🎓

Nahid Entezarian is currently pursuing her Ph.D. in Information Technology Management at Ferdowsi University of Mashhad, specializing in Smart Business. Her academic background has provided a solid foundation for her research and professional endeavors.

Experience 🧪

Unfortunately, the provided text does not mention specific work experience or professional roles held by Nahid Entezarian.

Awards & Honors �

Unfortunately, the provided text does not mention specific awards or honors received by Nahid Entezarian.

Research Focus 🔍

1. Text Mining: Investigating the application of text mining techniques in various domains.
2. Data Mining: Exploring the use of data mining methods for knowledge discovery.
3. NeuroIS: Examining the intersection of neuroscience and information systems.
4. Artificial Intelligence: Investigating the application of AI in various domains.
5. Machine Learning: Developing and applying machine learning algorithms for data analysis.

Publications📚

1. An investigation extent and factors influencing the users’ perception of database interface based on Nielsen model 📊
2. GUIDELINES FOR USER INTERFACE DESIGN BASED ON USERS’BEHAVIORS, EXPECTATIONS AND PERCEPTIONS 📈
3. Topic Modeling on System Thinking Themes Using Latent Dirichlet Allocation, Non-Negative Matrix Factorization and BER Topic 🤖
4. NeuroIS: A Systematic Review of NeuroIS Through Bibliometric Analysis 🧠
5. The Application of Artificial Intelligence in Smart Cities: A Systematic Review with Methodi Ordinatio 🌆
6. Systems Thinking in the Circular Economy: An Integrative Literature Review ♻️
7. The impact of knowledge management and Industry 4.0 technologies in organizations: a meta-synthesis approach 📈
8. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
9. Topic Modeling Emerging Trends for Business Intelligence in Marketing: With Text Mining and Latent Dirichlet Allocation 📊
10. Introducing and Evaluation of Rogers’s Diffusion Innovation Theory 📈

Conclusion 🏆

Nahid Entezarian’s impressive academic and research experience, research output, interdisciplinary research approach, and collaborations make her an outstanding candidate for the Best Researcher Award. While there are areas for improvement, her strengths and achievements demonstrate her potential to make a significant impact in her field.

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.

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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.