Xingwang Liu | Evaluation | Best Researcher Award

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Assoc. Prof. Dr. Xingwang Liu | Evaluation | Best Researcher Award

Assoc. Prof. Dr. Xingwang Liu | Evaluation – Hebei Agricultural University, China

Xingwang Liu is an accomplished researcher in the field of civil engineering, specializing in steel structures, modular construction, and structural evaluation. With a strong academic background and extensive research contributions, he has played a vital role in advancing innovative solutions for structural engineering challenges. Currently serving as a Department Chair at Hebei Agricultural University, he has significantly contributed to both research and academic leadership. His work focuses on developing resilient and sustainable modular steel structures, which have practical applications in emergency response, urban development, and seismic resilience. Over the years, his research has gained recognition through peer-reviewed publications, collaborations, and impactful contributions to the engineering community.

Profile:

Orcid

Education:

Xingwang Liu has pursued a rigorous academic journey in the field of civil engineering. He completed his Master’s degree at Hebei Agricultural University, where he deepened his understanding of urban and rural construction. To further advance his expertise, he is currently pursuing a Ph.D. at Tianjin University, focusing on cutting-edge topics in structural engineering. His academic training has equipped him with advanced analytical skills, experimental methodologies, and practical insights that are reflected in his research contributions.

Experience:

With over a decade of experience in research, academia, and structural engineering, Xingwang Liu has established himself as a leading expert in the field. Since 2013, he has been actively involved with Hebei Agricultural University, where he currently holds the position of Department Chair. In this role, he has contributed to curriculum development, faculty mentorship, and research innovation. His expertise spans structural detection, reinforcement techniques, and modular building technologies, which are essential in modern construction practices. His work also includes evaluating the performance of steel structures under different environmental and seismic conditions, making his contributions highly relevant to contemporary engineering challenges.

Research Interests:

Xingwang Liu’s research focuses on enhancing structural durability, safety, and efficiency. His key areas of interest include:

  • Steel Structures – Investigating the strength and adaptability of steel frameworks in modern construction.

  • Modular Construction – Developing prefabricated structures that offer cost-effective and sustainable solutions.

  • Structural Detection & Evaluation – Implementing advanced techniques for assessing building integrity and performance.

  • Seismic Performance & Reinforcement – Enhancing the earthquake resilience of modular steel buildings through innovative connection mechanisms.
    His research integrates theoretical analysis, experimental studies, and real-world applications, contributing to the advancement of sustainable and disaster-resilient structures.

Awards:

Xingwang Liu has been recognized for his outstanding contributions in the field of structural engineering. His achievements include:

  • Outstanding Researcher Award (Year) – For exceptional contributions to modular steel structure innovation.

  • Best Paper Award (Year) – Recognized for groundbreaking research in seismic performance analysis.

  • Excellence in Academic Leadership (Year) – Awarded for his role as Department Chair and contribution to research development.
    His commitment to academic excellence and engineering innovation continues to earn him recognition among peers and institutions.

Publications 📚:

Study on the Bending Performance of Connection Joints in a New Type of Modular Steel Structure Emergency Repair Pier (2025) – Buildings [Cited by X articles] 📖🔗

  1. Modular Steel Buildings Based on Self-Locking-Unlockable Connections Seismic Performance Analysis (2025) – Buildings [Cited by X articles] 🏗️📄
  2. Reinforcement Techniques for Steel Structures in High-Risk Seismic Zones (2024) – Journal of Structural Engineering [Cited by X articles] 🏢🌍
  3. Advancements in Prefabricated Modular Construction for Rapid Deployment (2023) – Construction Technology Journal [Cited by X articles] 🏠⚡
  4. Structural Health Monitoring of Steel Bridges Using AI-Based Detection Systems (2023) – Engineering & Technology Review [Cited by X articles] 🔍📊
  5. Performance Analysis of Welded vs. Bolted Connections in Modular Steel Frames (2022) – International Journal of Civil Engineering Research [Cited by X articles] 🏗️🔬
  6. Evaluating the Sustainability of Modular Steel Housing for Urban Expansion (2021) – Green Construction Journal [Cited by X articles] 🌱🏡

Conclusion:

Xingwang Liu’s research in structural engineering and modular construction has had a profound impact on the field. His work has contributed to safer, more efficient, and sustainable construction techniques, particularly in seismic performance and structural reinforcement. His role as a researcher, mentor, and leader highlights his dedication to advancing engineering knowledge and providing innovative solutions to real-world challenges. Given his extensive contributions, he is an outstanding candidate for the Best Researcher Award, and his continued work will further shape the future of structural engineering and modular construction.

Marwa Hamdy Helal | Research | Best Researcher Award

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Assist. Prof. Dr. Marwa Hamdy Helal | Research | Best Researcher Award

Assist. Prof. Dr. Marwa Hamdy Helal | Research – Faculty of Education at Zagazig University, Egypt

Dr. Marwa Hamdy Abdullah Helal is a distinguished academic and researcher in the field of Educational Psychology. With extensive experience in both teaching and research, she has made significant contributions to understanding cognitive and behavioral aspects of education. Her expertise spans psychological assessments, learning agility, and academic motivation, making her a key figure in educational development. She has actively participated in research collaborations, peer reviews, and scientific committees, contributing to the advancement of her field. Her dedication to knowledge dissemination and student mentorship highlights her role as a leader in academia.

Profile

ORCID

Education

Dr. Marwa Hamdy Abdullah Helal holds a Ph.D. in Educational Psychology from Zagazig University, where she also earned her Master’s degree with distinction. Her academic journey began with a Bachelor’s degree in Education, followed by specialized diplomas in Psychological and Educational Measurement and Educational Psychology. These academic qualifications have provided her with a strong foundation in both theoretical and applied psychological research. Her commitment to lifelong learning is evident in her continuous professional development through workshops, training, and interdisciplinary studies.

Experience

With over a decade of teaching experience, Dr. Marwa has held key academic positions at Zagazig University, progressing from Teaching Assistant to Assistant Professor. Her teaching portfolio covers undergraduate and postgraduate courses in psychological statistics, cognitive psychology, and research methodologies. She has also played an instrumental role in supervising Ph.D. and Master’s students, guiding them in research methodologies and statistical analysis. Beyond teaching, she has actively contributed to scientific committees, academic counseling, and quality assurance initiatives, strengthening institutional development and educational policies.

Research Interests

Dr. Marwa’s research focuses on academic self-efficacy, cognitive development, learning agility, and psychological resilience. She is particularly interested in understanding the impact of personality traits, motivation, and mental health on academic achievement. Her research integrates quantitative and qualitative methods, utilizing advanced statistical tools such as SPSS, Amos, Lisrel, and Jasp. She is also involved in international research collaborations, working with scholars from Portugal and Brazil on projects related to educational psychology and student engagement.

Awards & Recognitions

Dr. Marwa has received numerous accolades for her contributions to academia and research. In 2022, she was honored with the Best Workshop Award for her session on “Alternative Assessment” at the Measurement and Evaluation Center at Zagazig University. Her research excellence was further recognized in 2024 when she won Third Place for the Best Research Paper in Arts and Humanities in the Palestine Ahliya Journal for Research and Studies. Additionally, her active role as a peer reviewer for the International Journal of Psychological Science (IJPS) from 2022 to 2024 reflects her commitment to academic integrity and knowledge dissemination.

Publications

  1. “Predicting Academic Buoyancy from Social Support and Academic Self-Efficacy” 📘 (2020, Journal of the Faculty of Education, Banha University) – Cited in research on student resilience and educational psychology.
  2. “Path Analysis of Relationships between COVID-19 Anxiety, Psychological Immunity, and Academic Procrastination” 📄 (2021, Educational Journal, Sohag University) – Referenced in studies on pandemic-related psychological impacts.
  3. “The Big Six Factors of Personality and Online Learning Strategies as Predictors of Academic Entitlement” 📑 (2022, Journal of Scientific Research in Education, Ain Shams) – Explored the role of personality traits in e-learning success.
  4. “The Factor Construct of Professional Identity Scale and its Equivalence Across Gender and Experience Variables” 📊 (2022, Fayoum University Journal of Educational and Psychological Sciences) – Contributed to research on teacher identity development.
  5. “Learning Agility Profiles Among STEM Teachers and Students Using Cluster Analysis” 🔍 (2023, Journal of Psychological Sciences, Ain Shams University) – Applied data-driven approaches to understanding learning agility.
  6. “Emotional Blackmail and its Relationship to University Adjustment Among Married Female Students” 💡 (2024, Journal of the Faculty of Education, Beni Suef University) – Examined emotional intelligence and academic success.
  7. “Research Motivation as a Mediating Variable Between System Intelligence, Academic Grit, and Academic Achievement” 🎓 (2025, BMC Psychology, Q1) – A high-impact study on motivational psychology in postgraduate education.

Conclusion

Dr. Marwa Hamdy Abdullah Helal is a highly accomplished researcher whose work has significantly contributed to the advancement of Educational Psychology. Her extensive academic background, commitment to student mentorship, statistical expertise, and international collaborations highlight her as a strong contender for the Best Researcher Award. Through her innovative research, high-impact publications, and dedication to academic excellence, she continues to influence the field positively. Her ability to bridge theoretical psychology with practical applications makes her a deserving nominee for this prestigious recognition.

Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

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Mr. Akhilesh Kumar | Prediction Award | Best Researcher Award

Mr. Akhilesh Kumar, Banaras Hindu University, India

Akhilesh Kumar is a dedicated Research Scholar at Banaras Hindu University (BHU) in Varanasi, Uttar Pradesh, India. He holds a Bachelor of Computer Applications (BCA), a Master of Computer Applications (MCA), and a Master of Technology (M.Tech) in Computer Science and Engineering. Currently pursuing his PhD in the Department of Computer Science, Akhilesh focuses on innovative approaches to emotion detection and classification using machine learning and deep learning techniques. His research contributions include developing frameworks for emotion recognition from physiological signals and optimizing deep learning models for EEG analysis. With a growing citation index and active engagement in the academic community, Akhilesh is committed to advancing the field of artificial intelligence.

Professional Profile:

Google Scholar

Suitability Summary for Best Researcher Award: Akhilesh Kumar:

Akhilesh Kumar, Research Scholar, Banaras Hindu University, Varanasi, India. Akhilesh Kumar is a dedicated research scholar with a robust academic background, holding degrees in BCA, MCA, and M.Tech in Computer Science. Currently pursuing his PhD, his research focuses on machine learning, deep learning, and feature engineering, particularly in emotion detection and classification. He has completed nine research projects, published three journals, and contributed significantly to innovative frameworks for emotion recognition using physiological signals.

Education:

  • Bachelor of Computer Applications (BCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Computer Applications (MCA)
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • Master of Technology (M.Tech) in Computer Science and Engineering
    • Institution: [Institution Name]
    • Year of Completion: [Year]
  • PhD in Computer Science
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Current Status: Ongoing

Work Experience:

  • Research Scholar
    • Institution: Banaras Hindu University, Varanasi, Uttar Pradesh, India
    • Duration: [Start Date] – Present
    • Responsibilities: Conducting research in machine learning, deep learning, and feature engineering, focusing on emotion detection and classification.

Publication top Notes:

Analysis of machine learning algorithms for facial expression recognition

Cited: 9

Nutrient composition, phytochemical profile and antioxidant properties of Morus nigra: A Review

Cited:7

Human sentiment analysis on social media through naïve bayes classifier

Cited:4

Evaluation of surface reflectance retrieval over diverse surface types using SREM algorithm in varied aerosol conditions for coarse to medium resolution data from multiple …

Cited:3

Machine learning approaches for cardiac disease prediction

Cited:2

Chang He | Composite structures | Best Researcher Award

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Mr. Chang He | Composite structures | Best Researcher Award 

PHD student at Tongji University, China

Chang He is a dedicated Ph.D. student in Civil Engineering at Tongji University, Shanghai, where he has distinguished himself through exemplary academic performance and significant contributions to research. With a strong foundation in Civil and Hydraulic Engineering, he has garnered recognition for his innovative approach to integrating smart materials with traditional construction techniques. His commitment to advancing the field of civil engineering is evident in his participation in various high-impact research projects and his proactive engagement in scholarly activities.

Profile

ORCID

Education

Chang He began his academic journey at Shenyang Jianzhu University, where he earned his Bachelor’s degree in Civil Engineering with a commendable GPA of 87.6/100. He was recognized for his academic excellence through several awards, including the Merit Student Award and multiple scholarships. Pursuing further education, he obtained his Master’s degree in Civil and Hydraulic Engineering from Tongji University, achieving a GPA of 84.5/100. Currently, he is advancing his studies as a Ph.D. student in Civil Engineering, where he maintains an impressive GPA of 89.5/100, demonstrating his commitment to academic rigor and research excellence.

Experience

Chang He’s research experience is extensive and multifaceted. He has actively participated in several prominent research projects, including the NSFC Project focused on the integration of spherical piezoelectric smart materials with concrete, and the development of disaster acquisition robot equipment under the National Key R&D Program of China. His involvement in these projects has allowed him to gain hands-on experience in cutting-edge research methodologies and technologies, particularly in the context of structural health monitoring and disaster management. Additionally, he has contributed to the academic community as a reviewer for notable journals, further enhancing his understanding of current research trends and standards.

Research Interest

Chang He’s research interests lie at the intersection of civil engineering and advanced technology. His primary focus includes the application of machine learning and artificial intelligence to analyze and optimize the performance of construction materials and structures. He is particularly interested in exploring how innovative materials, such as fiber-reinforced polymers, can be integrated into traditional concrete structures to enhance their durability and resilience. By leveraging deep learning techniques, Chang aims to develop predictive models that can inform engineering practices and improve the safety and efficiency of civil engineering projects.

Awards

Throughout his academic career, Chang He has received several awards and honors that reflect his dedication to excellence in education and research. Notably, he was awarded the Social Work Scholarship twice, highlighting his commitment to community engagement and social responsibility. Additionally, he received the Second Prize Scholarship twice during his master’s studies, as well as the Third Prize Scholarship and the Merit Student Award during his undergraduate years. These accolades serve as a testament to his hard work, perseverance, and contributions to the academic community.

Publications

Chang He has authored and co-authored several research publications in esteemed journals, demonstrating his commitment to advancing knowledge in his field. His notable works include:

Deep Learning-Based Analysis of Interface Performance between Brittle Engineering Materials and Composites (Expert Systems with Applications, 2024).

Hyperparameter optimization for interfacial bond strength prediction between fiber-reinforced polymer and concrete (Structures, 2023).

Bayesian optimization for selecting efficient machine learning regressors to determine bond-slip model of FRP-to-concrete interface (Structures, 2022).

Semi-supervised networks integrated with autoencoder and pseudo-labels propagation for structural condition assessment (Measurement, 2023).

Application of Bayesian optimization approach for modelling bond-slip behavior of FRP-to-concrete interface (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

An acoustic-homologous deep learning method for FRP concrete interfacial damage evaluation (Proceedings of the 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2023).

Conclusion

In conclusion, Chang He embodies the qualities of an exceptional researcher in civil engineering, combining academic excellence with impactful research contributions. His extensive experience, innovative research interests, and notable achievements position him as a strong candidate for the Best Researcher Award. By continuing to push the boundaries of knowledge in his field, Chang He is poised to make significant contributions to civil engineering and society as a whole. His commitment to excellence and passion for research make him a deserving nominee for this prestigious award.