Dr. Katarzyna Piechota | Physical Culture Sciences | Best Researcher Award

Posted on by Academic achievements

Dr. Katarzyna Piechota | Physical Culture Sciences | Best Researcher Award

Dr. Katarzyna Piechota | Physical Culture Sciences – Assistant professor at University of Technology in Opole, Poland

Dr. Katarzyna Piechota is an esteemed researcher and academic in the field of physical culture sciences. She holds a doctoral degree in Physical Culture Sciences and has established herself as an expert in areas including neuromuscular coordination, motor skills, and sports performance, especially focusing on biomechanics and electromyography (EMG). With a career spanning multiple years, Dr. Piechota has made significant contributions to sports science, particularly in the areas of athletic performance and rehabilitation. Her work examines muscle activation and movement patterns in various sports, such as athletics and wheelchair fencing, leading to deeper insights into neuromuscular coordination and performance enhancement.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Piechota earned her doctorate in Physical Culture Sciences from AWF Warsaw in 2016, following a comprehensive academic journey that began with a Bachelor’s and Master’s degree in Physical Education from Opole University of Technology. Her Master’s thesis focused on athletic training and movement patterns in long and middle-distance runners, while her doctoral dissertation delved into the relationship between motor preparation and the EMG activity of upper and lower limb muscles during short-course running. Dr. Piechota’s educational path reflects her commitment to understanding human movement from both a practical and scientific perspective, and her qualifications in areas like physical education, corrective gymnastics, and athletics training showcase her versatility and depth in the field.

Experience:

Dr. Piechota’s professional experience spans multiple roles in academia, primarily as an assistant professor at Opole University of Technology. She has worked in various departments, including Physical Education and Sport, Human Motor Skills, and Anthropomotorics, where she has contributed to both teaching and research. Over the years, she has gained substantial expertise in physical education, coaching, and performance analysis. Her extensive experience in the classroom and laboratory setting, combined with her work at scientific conferences, highlights her commitment to furthering both the academic and practical aspects of physical education. Her position as an assistant professor has allowed her to mentor students and collaborate on groundbreaking research, influencing the future of sports science and rehabilitation.

Research Interests:

Dr. Piechota’s primary research interests focus on the application of biomechanics and neuromuscular coordination in sports performance. She has a particular focus on understanding muscle activation patterns through the use of surface electromyography (sEMG) and how these patterns influence athletic performance and injury prevention. She is especially interested in the way physical preparation and movement mechanics impact sprinting, wheelchair fencing, and sports in people with disabilities. Her research bridges the gap between theoretical knowledge and practical application, offering insights that are used to enhance training regimens, improve athlete performance, and prevent injury in both able-bodied and disabled athletes.

Dr. Piechota has also studied the impact of aerobic and anaerobic training on athletes, including elite-level Olympic short-track speed skaters, and her interest in sports rehabilitation has made her work influential in the context of post-injury recovery. Through her research, Dr. Piechota aims to improve understanding of how sports training and rehabilitation protocols can be optimized for better athletic performance across various populations.

Awards:

While Dr. Piechota has not yet received formal awards like the Best Researcher Award, her academic and research accomplishments have placed her on the radar for such recognition. Her groundbreaking work in neuromuscular coordination and performance analysis in sports has been widely cited in research circles. She continues to gain recognition for her contributions, particularly in the field of electromyography, sports biomechanics, and sports rehabilitation. Dr. Piechota’s active participation in international conferences and her collaboration with global researchers are further testament to her growing influence and recognition within the sports science community.

Publications:

Dr. Piechota’s research has been widely published in high-impact, peer-reviewed journals, contributing significantly to the field of sports science. Some of her most notable works include:

  1. Borysiuk, Z., Błaszczyszyn, M., Piechota, K., Abkas, A. (2025). Are technical performance differences in wheelchair fencing linked to disability categories? BMC Sports Science Medicine and Rehabilitation, vol. 17, article 23. [Cited by 15]
  2. Piechota, K., Borysiuk, Z., Zmarzły, D., Jonek, M., Majorczyk, E. (2024). Expert and novice soccer goalkeepers’ visual perception: a practical-coaching approach eye-tracking. International Journal of Performance Analysis in Sport. [Cited by 12]
  3. Piechota, K., Majorczyk, E. (2023). Decision-Making Time and Neuromuscular Coordination in Youth and Senior Soccer Goalkeepers. Sensors, 23(9):4483. [Cited by 10]
  4. Borysiuk, Z., Blaszczyszyn, M., Piechota, K., Konieczny, M., Cynarski, W.J. (2023). Correlations between the EMG Structure of Movement Patterns and Activity of Postural Muscles in Able-Bodied and Wheelchair Fencers. Sensors, 23, 135. [Cited by 8]
  5. Migała, M., Płonka-Syroka, B., Rasławska, K., Skolik, B., Spielvogel, I., Piechota, K., Hołodnik, D. (2022). Analysis of the experiences of patients in the rehabilitation period related to the COVID-19 disease. Research Square (pre-print). [Cited by 6]
  6. Borysiuk, Z., Błaszczyszyn, B., Piechota, K., Nowicki, T. (2022). Movement patterns of Polish National Paralympic Team wheelchair fencers with regard to muscle activity and co-activation time. Journal of Human Kinetics. [Cited by 9]
  7. Lukanowa-Jakubowska, A., Piechota, K., Grzywacz, T., Ambroży, T., Rydzik, Ł., Ozimek, M. (2022). The impact of four high-altitude training camps on the aerobic capacity of a short track Olympian – a case study. International Journal of Environmental Research and Public Health. [Cited by 7]

Conclusion:

Dr. Katarzyna Piechota’s career is marked by significant academic and professional achievements that have contributed meaningfully to the field of sports science. With a solid foundation in both practical application and theoretical research, she has gained recognition for her pioneering work in neuromuscular coordination and performance analysis in various sports disciplines. Her publications in high-impact journals and active role in international conferences have helped to shape the future of sports biomechanics and rehabilitation.

 

 

 

Xiaotian Han | Education | Best Researcher Award

Posted on by Academic achievements

Assoc. Prof. Dr. Xiaotian Han | Education | Best Researcher Award

Assoc. Prof. Dr. Xiaotian Han | Education – Associate professor at Shanghai Normal University Tianhua College, China

Dr. Xiaotian Han is an Associate Professor at the School of Education, Shanghai Normal University Tianhua College, specializing in education, information technologies, and teacher education. With a Doctorate in Education from the University of the Pacific, his research contributions have consistently focused on exploring innovative approaches to enhance educational practices. His work on blended learning, teacher induction programs, and the application of artificial intelligence in education stands out, positioning him as a leader in his field. Dr. Han has been actively involved in both teaching and research, aiming to create practical solutions that can be applied across educational systems. Over the years, he has worked tirelessly to bridge the gap between theory and practice, bringing value to educational research both in China and internationally.

Profile:

Scopus

Education:

Dr. Han’s educational journey began with his undergraduate degree in Tourism Management from Shanghai Normal University Tianhua College, where he earned his Bachelor’s degree in 2013. His passion for education led him to pursue a Master of Arts in Education with a focus on Curriculum and Instruction from the University of the Pacific, where he graduated with honors in 2015. He later pursued a Doctorate in Education from the same institution, specializing in Curriculum and Instruction, completing it in 2019 with a remarkable GPA of 3.86/4. His dissertation, which focused on teacher induction programs, laid the foundation for his subsequent research on teacher self-efficacy and retention. Dr. Han’s education has equipped him with both the theoretical understanding and practical skills necessary for his successful academic career.

Experience:

Dr. Han has a diverse and extensive teaching experience. He has worked as an Associate Professor at Shanghai Normal University Tianhua College since 2019, where he teaches courses in curriculum and instruction, and elementary social studies. Prior to his academic career in China, Dr. Han gained valuable experience in the United States, working as a Math Specialist and AVID Program Coordinator at Lodi Unified School District, where he designed and delivered lessons for middle school students. He also worked as a graduate assistant at the University of the Pacific, where he collected and analyzed data for various academic projects. These roles have allowed Dr. Han to combine his passion for teaching with a strong emphasis on research, benefiting students in both K-12 and higher education.

Research Interests:

Dr. Han’s research primarily revolves around the intersection of education and technology, particularly in the fields of blended learning, teacher education, and the integration of artificial intelligence (AI) into education. His research has sought to understand how new educational technologies can enhance learning outcomes, foster student engagement, and support teacher development. Dr. Han is especially interested in the effectiveness of blended learning environments and their role in improving academic motivation and performance in higher education. Additionally, he has explored the current trends and future directions of generative AI in education, aiming to identify how AI can reshape traditional teaching methods and improve student learning experiences.

Awards:

Dr. Han’s commitment to excellence in education and research has earned him numerous accolades throughout his career. Some of his notable awards include the “Outstanding Graduates of Shanghai” award in 2013, recognizing his leadership, academic achievements, and contributions to community service. Additionally, he received the “Project Teach Scholarship” at the University of the Pacific for his strong academic performance and contributions to K-12 education from 2014 to 2018. His dedication to furthering education and his leadership in research projects have made him a respected figure within the academic community.

Publications 📚:

Dr. Han’s scholarly work has been widely recognized, with multiple published articles in high-impact journals. Here are some of his key publications:

  1. Han, X. (2024a). Associations between effectiveness of blended learning, student engagement, student learning outcomes, and student academic motivation in higher education. Education and Information Technologies (SSCI, IF=4.8).
    This article explores the relationship between blended learning and various student outcomes, providing valuable insights for educators aiming to enhance student engagement.
  2. Han, X. (2024b). Generative artificial intelligence for future education: Current research status, hotspots, and research trends. Proceedings of 2024 8th International Conference on Algorithms, Computing and Systems (EI Compendex).
    Dr. Han delves into the transformative potential of AI in education, identifying key trends and research opportunities.
  3. Han, X. (2023a). Evaluating blended learning effectiveness: An empirical study from undergraduates’ perspectives using structural equation modeling. Frontiers in Psychology (SSCI, IF=3.8).
    This research presents an empirical analysis of blended learning, offering insights into how this model can improve learning experiences at the undergraduate level.
  4. Han, X. (2023b). Associations between the helpfulness of teacher induction programs, teacher self-efficacy, and anticipated first-year teacher retention. Frontiers in Psychology (SSCI, IF=3.8).
    This study emphasizes the importance of effective teacher induction programs in enhancing teacher retention rates and self-efficacy.
  5. Han, Y., & Han, X. (2023). Research on the relationship between classroom engagement and creativity of students of elementary education major. Research on Modern Basic Education (ISBN: 9787572007125).
    This publication explores the connection between classroom engagement and creativity, shedding light on how to foster creative thinking in future educators.

Conclusion:

Dr. Xiaotian Han is a distinguished academic whose research has significantly contributed to the fields of educational technology and teacher education. His work on blended learning, AI in education, and teacher development provides valuable insights that can help shape the future of education globally. His dedication to teaching, coupled with his impressive research record, positions him as a highly deserving candidate for the “Best Researcher Award.” Dr. Han’s ability to bridge the gap between theoretical research and practical application demonstrates his commitment to improving educational practices. With a track record of impactful publications, awards, and leadership in research projects, Dr. Han continues to inspire both his students and fellow researchers to strive for excellence in the field of education.

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.

Eric Sefa Boye | Education | Best Researcher Award

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Dr Eric Sefa Boye | Education | Best Researcher Award

Deputy Director Inspectorate at Ghana Armed Forces Education Unit, Ghana

Lieutenant Colonel (Dr) Eric Sefa Boye is a dedicated educator, researcher, and military officer with over 15 years of experience in education, training, and peacekeeping. Commissioned into the Ghana Armed Forces Education Corps in 2008, he holds a PhD in Education (Mathematics Education) from the Central University of Nicaragua, a Master of Education in Mathematics Education from the University of Cape Coast, and an MSc in Defence and International Politics from GIMPA. Dr. Boye is a part-time lecturer at the University of Education, Winneba, and serves as the Deputy Director Inspectorate at the General Headquarters (Education) of the Ghana Armed Forces. His expertise spans instructional strategies, curriculum development, and educational management. He has served in various UN missions and is passionate about research, teaching, and training.

Profile

Orcid

Education 🎓

Dr. Boye’s academic journey includes a PhD in Education (Mathematics Education) from the Central University of Nicaragua (2017-2021), a Master of Education in Mathematics Education from the University of Cape Coast (2012-2013), and an MSc in Defence and International Politics from GIMPA (2023-2024). He also holds a Bachelor of Education in Mathematics and Statistics from the University of Cape Coast (2001-2005). His educational background reflects a strong focus on mathematics education, instructional strategies, and international politics, equipping him with a unique blend of skills for both academic and military roles.

Experience 💼

With over 15 years of combined military and academic experience, Dr. Boye has served as a part-time lecturer at the University of Education, Winneba, and as a visiting mathematics tutor at the Military Academy and Training Schools. In the Ghana Armed Forces, he has held key roles such as Deputy Director Inspectorate, Garrison Education Officer, and UN peacekeeper in missions across Lebanon, Liberia, Chad, and Western Sahara. He has designed training packages for military instructors and supervised numerous undergraduate and postgraduate research projects. His leadership and expertise in education and training have significantly contributed to the Ghana Armed Forces and beyond.

Awards and Honors 🏆

Dr. Boye’s contributions to education and military service have earned him recognition, including his appointment as Assistant Force Training Officer during his UN mission in Western Sahara. His book, Instructional Strategies: The Science of Teaching and Learning, has been approved by Ghana’s National Teaching Council as a study material for teachers. His research publications in reputable journals highlight his commitment to advancing mathematics education and problem-based learning strategies.

Research Focus 🔍

Dr. Boye’s research focuses on problem-based learning (PBL) in mathematics education, instructional strategies, and the determinants of academic performance in armed forces schools. His work explores the effectiveness of PBL in improving teaching and learning outcomes for pre-service teachers and investigates factors influencing student performance in military schools. His research aims to bridge theory and practice, providing actionable insights for educators and policymakers.

Publication Top Notes 📚

  1. Determinants of academic performance of armed forces schools: Perceptions of teachers of Ghana armed forces basic schools.
  2. Understanding problem-based learning and its application in learning mathematics concepts among pre-service teachers.
  3. Effectiveness of problem-based learning strategy in improving teaching and learning of mathematics for pre-service teachers in Ghana.
  4. Features of Problem Based Learning lesson plan that fit into the realities in the teaching and learning of Mathematics for pre-service teachers in Ghana.
  5. Problem Based Learning in the teaching and learning of Mathematics for pre-service teachers in Ghana: A literature review.
  6. Instructional Strategies: The Science of Teaching and Learning.

Conclusion 🌟

Lieutenant Colonel (Dr) Eric Sefa Boye is a multifaceted professional whose expertise in education, research, and military service has made a significant impact. His dedication to improving teaching and learning through innovative strategies, coupled with his extensive experience in both academic and military settings, positions him as a valuable asset to any institution. Dr. Boye’s contributions to mathematics education and his commitment to excellence continue to inspire and drive positive change in Ghana and beyond.

 

Jingxian Liu | Computer Vision | Best Researcher Award

Posted on by Academic achievements

Mr. Jingxian Liu | Computer Vision | Best Researcher Award

Associate Research Fellow‌ at Guangzhou Maritime University, China.

Mr. Jingxian Liu is an Associate Research Fellow at Guangzhou Maritime University. Born in November 1984 in Guangzhou, China, he specializes in remote sensing and communication systems. His research focuses on digital twins, intelligent state prediction, and maneuvering-target tracking using advanced computational methods. Liu has authored numerous high-impact publications and has led several national and regional research projects, contributing significantly to the field of geoscience and remote sensing.

Profile Verification

Scopus 

Education

Jingxian Liu pursued his doctoral studies in Communication and Information Systems at Beihang University (2013-2018) after completing a Master’s degree in Geodetection and Information Technology from China University of Geoscience (Beijing, 2007-2010). He holds a Bachelor’s degree in Electronic Information Engineering from China University of Geoscience (Beijing, 2003-2007). His educational background has equipped him with a solid foundation in engineering and remote sensing technologies.

Experience

Jingxian Liu currently serves as an Associate Research Fellow at Guangzhou Maritime University since March 2024. Prior to this, he was an Associate Research Fellow at Guangxi University of Science and Technology from December 2018 to December 2023. During this period, he contributed significantly to research projects focusing on remote sensing and digital twin technologies. Earlier in his career, Liu worked as an Engineer at the China Shipbuilding Industry Corporation’s 760th Research Institute from July 2010 to June 2013. His role there involved conducting research and development activities aimed at advancing engineering technologies in shipbuilding and marine industries.

Research Interests

Jingxian Liu’s research primarily revolves around remote sensing image processing, digital twins, intelligent state prediction, and maneuvering-target tracking. His innovations include fast arbitrary-oriented object detection for remote sensing images, differential correction based shadow removal methods, and deep learning algorithms for maneuvering-target tracking. His work significantly advances understanding in these areas, applying cutting-edge computational techniques to solve complex challenges.

Publications

Fast arbitrary-oriented object detection for remote sensing images

Authors: Liu, J.; Tang, J.; Yang, F.; Zhao, Y.

Citations: 0

Year: 2024

Task Demands-Oriented Collaborative Offloading and Deployment Strategy in Software-Defined UAV-Assisted Edge Networks

Authors: Yan, J.; Wang, W.; Liu, J.; Yuan, H.; Zhu, Y.

Citations: 0

Year: 2024

HDDet: A More Common Heading Direction Detector for Remote Sensing and Arbitrary Viewing Angle Images

Authors: Ding, S.; Liu, J.; Yang, F.; Xu, M.

Citations: 1

Year: 2024

Digital Twins Based Intelligent State Prediction Method for Maneuvering-Target Tracking

Authors: Liu, J.; Yan, J.; Wan, D.; Al-Dulaimi, A.; Quan, Z.

Citations: 5

Year: 2023

Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search

Authors: Yang, F.; Li, C.; Peng, Y.; Wen, J.; Yang, S.

Citations: 7

Year: 2023

Diffusion characteristics classification framework for identification of diffusion source in complex networks

Authors: Yang, F.; Liu, J.; Zhang, R.; Yao, Y.

Citations: 1

Year: 2023

A differential correction based shadow removal method for real-time monitoring

Authors: Liu, S.; Chen, M.; Li, Z.; Liu, J.; He, M.

Citations: 0

Year: 2023

A cross-and-dot-product neural network based filtering for maneuvering-target tracking

Authors: Liu, J.; Yang, S.; Yang, F.

Citations: 6

Year: 2022

Micro-Knowledge Embedding for Zero-shot Classification

Authors: Li, H.; Wang, F.; Liu, J.; Zhang, T.; Yang, S.

Citations: 3

Year: 2022

An identification strategy for unknown attack through the joint learning of space–time features

Authors: Wang, H.; Mumtaz, S.; Li, H.; Liu, J.; Yang, F.

Citations: 6

Year: 2021

 

Conclusion

Jingxian Liu is a highly deserving candidate for the Research for Best Researcher Award due to his significant contributions to remote sensing, digital twins, and maneuvering-target tracking. His innovative research methodologies, high-impact publications, and leadership in large-scale research projects position him as a leader in his field. Continued efforts to enhance industry collaborations and community engagement will further solidify his status as a key figure in advancing technological solutions for environmental and geospatial challenges.

 

Licheng Zhang | Fuel Consumption | Best Researcher Award

Posted on by Academic achievements

Dr. Licheng Zhang | Fuel Consumption | Best Researcher Award

Senior Engineer at Chang’an University, China.

Dr. Zhang Licheng is a Senior Engineer at Chang’an University, specializing in traffic  engineering and control. He has a profound interest in sustainable driving behavior, fuel consumption modeling, and autonomous vehicle efficiency. With 33 publications and 10 patents to his name, his pioneering work in fuel consumption prediction models has advanced the understanding of vehicular dynamics. Dr. Zhang’s research integrates advanced technologies and data analytics to promote eco-driving and intelligent vehicle systems, making significant contributions to green transportation. He is a recognized thought leader in the domain, blending academic rigor with practical applications to impact the automotive industry globally.

Profile Verification

Scopus 

Education

Dr. Zhang Licheng completed his undergraduate studies in Computer Science and Technology, followed by a master’s and doctoral degree in Traffic Engineering and Control. His advanced education laid the foundation for his research on driving behavior and energy consumption models. At Chang’an University, his academic training focused on creating innovative methodologies to optimize driving efficiency and fuel usage. His educational journey reflects his passion for merging technology with transportation, empowering him to solve critical challenges in intelligent vehicle systems and autonomous driving scenarios.

Experience

Dr. Zhang brings over a decade of experience in automotive engineering and intelligent vehicle research. As a Senior Engineer at Chang’an University, he has led numerous projects funded by prominent organizations, including the National Natural Science Foundation of China. His work emphasizes fuel-efficient driving strategies, autonomous vehicle simulations, and hybrid data modeling for energy optimization. Dr. Zhang has collaborated with global institutions, contributed to 33 journal publications, and mentored young researchers, shaping the future of green transportation technologies.

Research Interests

Dr. Zhang’s research explores energy-efficient driving behavior, integrating multi-source traffic data for ecological vehicle systems. He specializes in developing fuel consumption prediction models, autonomous driving strategies, and motion planning methods for lane-changing scenarios. His studies bridge the gap between driving behavior and environmental sustainability, contributing significantly to the design of energy-efficient autonomous vehicles. Dr. Zhang’s work also addresses real-world applications of digital twin testing and simulation for automated driving technologies.

Awards and Honors

Dr. Zhang Licheng has been honored with the Young Scientist Award, Best Innovation Award, and Excellence in Research Award for his contributions to automotive and traffic engineering. His achievements include receiving grants for prestigious national and provincial projects, along with patents for innovative solutions in eco-driving and autonomous vehicle planning. His exceptional work has been recognized at global conferences, highlighting his commitment to advancing intelligent vehicle systems.

Publications

Ma, S., Chen, C., Zhang, L., Zhang, J., Zhao, X.
Title: AMTrack: Transformer tracking via action information and mix-frequency features
Journal: Expert Systems with Applications
Year: 2025
Citations: 0

Zhang, L., Ya, J., Khattak, A.J., Peng, K., Guo, Y.
Title: Novel fuel consumption models integrating vehicular speed, acceleration, and jerk
Journal: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
Year: 2024
Citations: 0

Ma, S., Zhao, B., Zhang, L., Hou, Z., Zhao, X.
Title: Correlation Filter based on Trajectory Correction and Context Interference Suppression for Real-Time UAV Tracking
Journal: IEEE Transactions on Intelligent Vehicles
Year: 2024
Citations: 2

Zhang, L., Ya, J., Xu, Z., Xing, Y., Yang, R.
Title: Novel Neural-Network-Based Fuel Consumption Prediction Models Considering Vehicular Jerk
Journal: Electronics (Switzerland)
Year: 2023
Volume: 12
Issue: 17
Citations: 0

Wang, G., Zhang, L., Xu, Z., Qu, X.
Title: Predictability of Vehicle Fuel Consumption Using LSTM: Findings from Field Experiments
Journal: Journal of Transportation Engineering Part A: Systems
Year: 2023
Volume: 149
Issue: 5
Citations: 4

Peng, K., Xing, Y., Zhang, L., Song, Y., Ya, J.
Title: Quantitative Evaluation of Energy-saving Driving Based on Wavelet Transform
Conference: 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023
Year: 2023
Citations: 0

Zhang, L., Peng, K., Zhao, X., Khattak, A.J.
Title: New fuel consumption model considering vehicular speed, acceleration, and jerk
Journal: Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
Year: 2023
Volume: 27
Citations: 12

Zhang, L., Zhang, T., Peng, K., Zhao, X., Xu, Z.
Title: Can Autonomous Vehicles Save Fuel? Findings from Field Experiments
Journal: Journal of Advanced Transportation
Year: 2022
Citations: 9

Wang, G., Zhang, L., Xu, Z., Wei, T., Qu, X.
Title: FuelNet: A precise fuel consumption prediction model using long short-term memory deep network for eco-driving
Conference: Energy Proceedings
Year: 2020
Citations: 0

Min, H., Zhao, X., Xu, Z., Zhang, L., Wang, R.
Title: Stereo Visual Odometry Based on Robust Features
Journal: Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Year: 2017
Citations: 2

Conclusion

Zhang Licheng is a strong candidate for the Best Researcher Award, owing to his innovative contributions to traffic engineering, eco-driving, and energy-efficient vehicular technologies. His well-rounded portfolio of research projects, patents, and publications underscores his dedication to advancing his field. While there is room for growth in global recognition and citation impact, Zhang’s accomplishments make him an exemplary researcher deserving of this prestigious award.

 

Chang He | Composite structures | Best Researcher Award

Posted on by Academic achievements

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.