Jingzhao Lu | Environmental Data Analysis | Best Researcher Award

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Dr. Jingzhao Lu | Environmental Data Analysis | Best Researcher Award

Hebei agricultural university | China

Publication Profile

Scopus

Research Gate

EARLY ACADEMIC PURSUITS 🎓

Dr. Jingzhao Lu began his academic journey at Hebei Agricultural University in China, where he initially focused on the environmental sciences. His early studies were deeply rooted in understanding the interaction between land-use types, environmental pollutants, and their broader impact on ecosystem health. With a keen interest in satellite technology and data analytics, he pursued research that involved the application of remote sensing in monitoring and quantifying environmental changes.

PROFESSIONAL ENDEAVORS 💼

Dr. Lu’s professional career has been marked by his dedication to the integration of satellite observations and environmental modeling. He has worked across various academic and research institutions, with Hebei Agricultural University standing as a cornerstone of his professional life. His work has advanced the understanding of environmental data analysis, especially regarding the effects of land-use changes, inorganic pollutants, and CO2 emissions. His professional endeavors include collaborations with national and international research bodies, enhancing global environmental monitoring efforts.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lu’s research primarily revolves around environmental data analysis, focusing on the quantification and modeling of environmental impacts. His contributions are vast, particularly in the fields of satellite-based observations, land-use classification, and the impact of inorganic pollutants on various ecosystems. His work on CO2 emissions and numerical modeling has opened up new avenues for understanding the complexities of greenhouse gases and their role in climate change. Dr. Lu has published several impactful papers, contributing to the growing body of knowledge on global environmental monitoring.

IMPACT AND INFLUENCE 🌍

Dr. Jingzhao Lu’s work has had a significant impact on both local and global environmental policy and research. His research findings have been used to inform land-use management practices, environmental protection strategies, and climate change mitigation efforts. Through his contributions, he has influenced the direction of future environmental research, particularly in the area of using remote sensing technologies for monitoring environmental changes. His influence can be seen in the growing integration of satellite data into environmental decision-making processes around the world.

ACADEMIC CITATIONS 📚

Dr. Lu’s academic citations highlight his contributions to the field of environmental science. His research papers are widely cited by scholars and researchers in the areas of environmental monitoring, land-use change, and pollutant studies. These citations are a testament to the relevance and quality of his work, as his findings continue to shape ongoing environmental research. He is frequently referenced in studies on satellite observations, CO2 emissions, and pollutant dynamics, establishing him as a leader in his field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Dr. Jingzhao Lu’s legacy will be marked by his profound influence on the field of environmental data analysis and satellite-based observations. His work has laid a strong foundation for future generations of researchers to build upon, especially in addressing the challenges posed by climate change and environmental degradation. Moving forward, Dr. Lu’s future contributions are expected to focus on enhancing environmental models through improved satellite technology, refining CO2 emissions estimates, and advancing numerical models to better predict environmental outcomes. His work continues to inspire new research and collaborations, ensuring that his legacy will endure in the academic and environmental communities for years to come.

Publication Top Notes

Spatial Analysis of Carbon Metabolism in Different Economic Divisions Based on Land Use and Cover Change (LUCC) in China
    • Authors: Cui Yuan, Yaju Liu, Jingzhao Lu, Wei Su
    • Journal: Not specified in the provided text.
    • Year: January 2025
Research on the spatial–temporal distribution of three-dimensional carbon footprint in different urban agglomerations in China
    • Authors: Chengyi Guo, Jingzhao Lu, Cui Yuan, Yanlong Guan
    • Journal: Not specified in the provided text.
    • Year: January 2025
A multivariate analysis of microplastics in soils along the headwaters of Yangtze River on the Tibetan Plateau
    • Authors: Sansan Feng, Hongwei Lu, Yuxuan Xue, Tong Sun
    • Journal: Not specified in the provided text.
    • Year: April 2024
A review of the occurrence, transformation, and removal technologies for the remediation of per- and polyfluoroalkyl substances (PFAS) from landfill leachate
    • Authors: Jingzhao Lu, Hongwei Lu, Dongzhe Liang, Jingyu Li
    • Journal: Not specified in the provided text.
    • Year: May 2023
Population density regulation may mitigate the imbalance between anthropogenic carbon emissions and vegetation carbon sequestration
    • Authors: Dongzhe Liang, Hongwei Lu, Yanlong Guan, Jingzhao Lu
    • Journal: Not specified in the provided text.
    • Year: March 2023

yayong shi | Bioinformatics | Best Researcher Award

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Assoc Prof Dr. yayong shi | Bioinformatics | Best Researcher Award

Peking University People’s Hospital, China

Publication Profile

Scopus

EARLY ACADEMIC PURSUITS 📚

Dr. Yayong Shi’s academic journey began with a Bachelor’s in Computer Science and Technology from the University of Science and Technology Beijing (2013-2017), where his interest in the intersection of technology and healthcare first took root. His pursuit of a Master’s degree in the same field at the same university (2018-2021) deepened his expertise in computer science, focusing on medical data analysis. This academic foundation laid the groundwork for his joint Ph.D. program, which he undertook between the University of Science and Technology Beijing and the PLA General Hospital Graduate School (2021-2024). His doctoral research marked a pivotal moment in his career, exploring bioinformatics and medical data, and setting him on a path toward blending technology and healthcare for impactful outcomes.

PROFESSIONAL ENDEAVORS 🏥

Dr. Shi’s professional journey led him to serve as an Associate Researcher at Peking University People’s Hospital & National Trauma Medical Center since July 2024. In this role, he is part of groundbreaking work in the medical field, combining computer science with real-time medical applications to drive early disease diagnosis and medical large model development. His position at one of China’s top medical institutions reflects his expertise in medical data processing and his growing reputation in the research community. This role allows him to further his research on multimodal data fusion and its application to early diagnosis, providing valuable insights into improving healthcare delivery and medical outcomes.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Shi’s research interests revolve around the fusion of multimodal data to enhance early disease diagnosis, particularly in critical medical conditions. His work on Medical Large Models has the potential to revolutionize how data is processed in medical environments, enabling faster and more accurate diagnoses. He is dedicated to improving medical data accuracy and predictive capabilities through advanced machine learning techniques. His contributions also include innovative research on optimizing data imbalances in disease prediction, handling missing labels in electronic health records, and completing medical data features in emergency rescue situations. His work has significantly influenced medical risk identification, offering groundbreaking systems that can process large volumes of healthcare data to identify critical risks in real-time.

IMPACT AND INFLUENCE 🌍

Dr. Shi’s influence extends beyond academic circles into real-world applications, particularly through his involvement in major research projects funded by the National Natural Science Foundation of China and the National Key R&D Program (Precision Medicine). His contributions to the Breast Cancer Onset and Prognosis Tracking System have made strides in precision medicine, where his work is helping shape systems for tracking disease onset and forecasting prognosis. His patents in optimizing medical data handling, especially in irregular medical time-series data and the construction of cross-medical-center chronic disease models, are prime examples of how his research is directly impacting the healthcare sector. Dr. Shi’s innovations are designed to improve efficiency and accuracy in healthcare diagnostics and treatments, offering a global ripple effect in advancing medical technologies.

ACADEMIC CITATIONS 📑

While specific citation counts may not be provided in this text, Dr. Shi’s groundbreaking research in areas such as medical data feature completion and automated discharge monitoring has gained recognition in various academic papers and journals. His work on machine learning and data analysis in healthcare settings has earned citations in studies focused on improving medical technologies, thus contributing to a broader dialogue in the medical technology community.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

Dr. Shi’s legacy in the field of bioinformatics and medical data processing is being shaped by his persistent dedication to enhancing the quality of care through technology. With numerous patents to his name, his innovations are poised to redefine how data is handled in medical contexts. Looking forward, his continued work on medical large models and multimodal data fusion will likely influence the future of precision medicine, further advancing the integration of AI in healthcare. His potential contributions to personalized medicine, where each patient’s treatment is tailored based on data-driven insights, will undoubtedly leave a lasting impact on medical research, care standards, and patient outcomes for generations to come.

IMPORTANT RESEARCH PROJECTS 💡

Dr. Shi has been instrumental in leading major research projects like the Construction and Application of Network Information Support Systems and the Development of Medical Helicopter Systems, both of which aim to improve emergency medical services and infrastructure in China. These projects not only advance his work in medical data processing but also showcase his commitment to improving emergency healthcare systems, potentially saving countless lives by ensuring timely medical interventions.

Publication Top Notes

Node Search Contributions Based Long-Term Follow-Up Specific Individual Searching Model
    • Authors: Shi, Yayong, et al.
    • Journal: Tsinghua Science and Technology
    • Year: 2023
A Disease Transmission Model Based on Individual Cognition
    • Authors: Nian, Fuzhong, Yayong Shi, Zhongkai Dang
    • Journal: International Journal of Modern Physics B
    • Year: 2020
Modeling Information Propagation in High-Order Networks Based on Explicit–Implicit Relationship
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Journal of Computational Science
    • Year: 2021
EpiRiskNet: Incorporating Graph Structure and Static Data as Prior Knowledge for Improved Time-Series Forecasting
    • Authors: Shi, Yayong, et al.
    • Journal: Applied Intelligence
    • Year: 2024
COVID-19 Propagation Model Based on Economic Development and Interventions
    • Authors: Nian, Fuzhong, Yayong Shi, Jun Cao
    • Journal: Wireless Personal Communications
    • Year: (Year not fully provided, please verify)
COVID-19 Transmission Dynamics in High-Risk Population Networks
    • Authors: Shi, Yayong, et al.
    • Journal: Control Theory and Applications
    • Year: 2020

Amirhossein Javaherikhah | Blockchain | Best Researcher Award 

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Mr. Amirhossein Javaherikhah | Blockchain | Best Researcher Award 

Universidad Politécnica de Madrid | Spain

Publication Profile

Google Scholar
Biography: Mr. Amirhossein Javaherikhah 🌍🚀
Civil Engineering Professional | Project Management Expert | Future-Oriented Construction Innovator

🔍 Professional Overview

I am a civil engineering professional with extensive experience in project management and building control, specializing in innovative, future-focused construction solutions. My research explores managing sensitive buildings and extraterrestrial habitats, particularly those designed for Mars, by leveraging cutting-edge technologies like blockchain for efficient information management. Through simulation of Mars projects, I have developed strategic methods aimed at enhancing building protection and astronaut safety against extreme conditions. I am committed to advancing sustainable construction practices and using technology to drive transformative innovations in construction management.

🏗️ Work Experience

Construction Consulting
Municipality of Razan, Iran
2017 – 2020
Responsibilities:
• Supervision of infrastructure projects
• Reviewing and writing reports for construction projects

Education (Civil Engineering Courses)
High School, Razan, Iran
2016 – 2019
Responsibilities:
• Teaching civil engineering courses

Site Manager
Kosha Karan Arzhan Company, Karaj, Iran
2014 – 2015
Responsibilities:
• Writing daily reports
• Writing material requisitions
• Ensuring site safety
• Supervision of construction drawings

🎓 Education

Doctor of Philosophy (PhD) in Technological Innovation in Building
Polytechnic University of Madrid, Spain
2021 – 2025
Thesis Research: Presentation of Blockchain-Based Inspection Framework for Managing Building Information Modelling (BIM) on Mars Buildings.

Master’s Degree in Construction Management
Islamic Azad University, Iran
2017 – 2019
Thesis Research: Factors Influencing Safety Enhancement and Cost Reduction in Construction Site Layout

Bachelor’s Degree in Civil Engineering
Hoshmand Sazeh University of Applied Sciences, Iran
2014 – 2016
Thesis Research: Bolt-on Prefabricated Buildings

Associate Degree in Municipal Engineering
Shahrdari University Tehran Applied Science, Iran
2012 – 2014

💼 Additional Skills

  • Software Proficiency:
    • Microsoft Office (Word, Excel, PowerPoint)
    • AutoCAD, Etabs, MSP, BMS, Python
  • Statistical Operations:
    • Fuzzy Delphi, AHP, ANP, MCDM, SWOT, Vicor

🏆 Honors and Recognition On Blockchain

Second Place
3rd Building and Management International Conference (BIMIC) – Nov 2021

🌍 Professional Memberships

• Member, Elite Association Abroad
• Member, American Society of Civil Engineers (ASCE)
• Member, Engineering System Organization (Iran)
• Member, Project Management Institute (PMI)

🤝 Volunteering & Peer Review

• Peer Reviewer, Journal of American Society of Civil Engineers
• Peer Reviewer, Journal of Building Engineering
• Peer Reviewer, Journal of GMSARN International
• Peer Reviewer, Book Publication International

Publication Top Notes

Effective Factors for Implementing Building Information Modeling Using Fuzzy Method to Manage Buildings on Mars
    • Authors: A Javaherikhah, M Valiente Lopez
    • Journal: Buildings
    • Year: 2023
Developing an Inspector-Centric Blockchain-Enabled Conceptual Framework for BIM Management in Mars Buildings
    • Authors: A Javaherikhah, M Valiente Lopez, SR Mohandes
    • Journal: Buildings
    • Year: 2023
An overview of investigating the new structural system (LSF)
    • Authors: A Javaherikhah, S Khezli, MV Lopez
    • Journal: Advances in Building Education
    • Year: 2024
Building information modeling for precast concrete components in developed nations
    • Authors: MV López, A Javaherikhah
    • Journal: Pensar dibujando: Proceedings of XVI International Conference of the …
    • Year: 2024
The Role of Blockchain Technology in the Future of Construction
    • Authors: AH Javaheri Khah, M Valiente López
    • Journal: New Advances in Building Information Modeling and Engineering Management
    • Year: 2023
Technology and Nanotechnology in Smart Buildings
  • Authors: A Javaherikhah, Mercedes Valiente Lopez, Miguel Fernandez Alvarez
  • Journal/Conference: 7th International Conference on Technological Innovation in Building
  • Year: 2022

 

Xianguang Guo | Data Visualization | Best Researcher Award

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Dr. Xianguang Guo | Data Visualization | Best Researcher Award

Chengdu Institute of Biology, Chinese Academy of Sciences, China

Publication Profile

Orcid

📝 Summary

Dr. Xianguang Guo is an Associate Professor at the Chengdu Institute of Biology, Chinese Academy of Sciences, specializing in molecular phylogenetics, biogeography, and evolution. His research primarily focuses on reconstructing evolutionary relationships in reptiles, particularly the racerunner Eremias and toad-headed agama Phrynocephalus in arid Central Asia.

🎓 Education

  • Ph.D. in Hydrobiology, Institute of Hydrobiology, Chinese Academy of Sciences (2006). Dissertation: “Molecular phylogenetics and biogeography of Otocephala fish based on multi-nuclear genes.”
  • M.Sc. in Zoology, Southwest China Normal University (2003). Thesis: “Molecular phylogeny of sisorid catfishes and species validity of genus Euchiloglanis in China.”
  • B.Sc. in Zoology, Lanzhou University (1995). Thesis: “Seasonal variations of blood visible components in Eremias multiocellata.”

💼 Professional Experience

  • Associate Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2009–Present).
  • Assistant Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2006–2009).

📚 Research Interests on 

Dr. Guo’s main research interests include molecular phylogenetics, biogeography, and evolution. He focuses on reconstructing evolutionary relationships, especially in the Eremias and Phrynocephalus species, using molecular datasets. His studies contribute to understanding the evolutionary history and diversification of these reptiles in arid regions of Central Asia.

🖥️ Technical Skills

  • Expertise in molecular techniques like DNA sequencing and phylogenetic analysis.
  • Proficient in using bioinformatics tools for data analysis and evolutionary studies.

👩‍🏫 Teaching Experience

Dr. Guo has taught various graduate and undergraduate courses related to zoology, molecular biology, and evolutionary studies at the Chengdu Institute of Biology, fostering academic growth and research skills in students.

🔬 Academic Contributions

He has led numerous research projects funded by the National Natural Science Foundation of China (NSFC), focusing on the phylogenetics and molecular basis of species adaptation in arid environments. Dr. Guo has also contributed to international collaborations on the phylogeography and genetic differentiation of reptile species in Central Asia.

🌍 Research Projects

Dr. Guo’s projects include studying the biodiversity and evolutionary patterns of amphibians and reptiles, with an emphasis on the diversity of Eremias and Phrynocephalus in Central Asia’s harsh ecosystems. His work aims to uncover the molecular mechanisms underlying species adaptation and the impact of desertification on biodiversity.

Publication Top Notes

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai–Tibet Plateau, with Particular Attention to the Northern Slope of the Kunlun–Arjin Mountains

📑 Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
📰 Journal: Animals
📅 Year: 2025

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai-Tibetan Plateau (Preprint)

📑 Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
📰 Journal: Preprint
📅 Year: 2024

Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia

📑 Authors: Lili Tian, Rui Xu, Dali Chen, Natalia B. Ananjeva, Rafe M. Brown, Mi-Sook Min, Bo Cai, Byambasuren Mijidsuren, Bin Zhang, Xianguang Guo
📰 Journal: Animals
📅 Year: 2024

Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA

📑 Authors: Daniya Ualiyeva, Jinlong Liu, Tatjana Dujsebayeva, Jun Li, Lili Tian, Bo Cai, Xiaomao Zeng, Xianguang Guo
📰 Journal: Animals
📅 Year: 2024

Phylogeography and Ecological Niche Modeling of the Alashan Pit Viper (Gloydius cognatus; Reptilia, Viperidae) in Northwest China and Adjacent Areas

📑 Authors: Rui Xu, Tatjana N. Dujsebayeva, Dali Chen, Byambasuren Mijidsuren, Feng Xu, Xianguang Guo
📰 Journal: Animals
📅 Year: 2023

zhongyuan xiang | laboratory medicine | Best Researcher Award

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Prof. zhongyuan xiang | laboratory medicine | Best Researcher Award

the second Xiangya Hospital of Central South University | China

Author Profile

Scopus

📝 Summary

Zhongyuan Xiang, a dedicated and experienced medical professional, is the Secretary and Director of the Department of Laboratory Medicine at Xiangya Second Hospital, Central South University. He is an expert in medical diagnostics and laboratory technologies with over a decade of experience. He is deeply involved in research on autoimmune diseases, artificial intelligence in diagnostics, and cancer biomarkers.

🎓 Education

  • Ph.D. in Medical Sciences
  • Master’s Supervisor at Central South University, guiding graduate students in the field of medical testing.

💼 Professional Experience

  • Secretary & Director, Department of Laboratory Medicine, Xiangya Second Hospital, Central South University.
  • Senior Technician, Chief Medical Scientist, with extensive contributions to the development of clinical testing techniques and laboratory management.

📚 Academic Positions

  • Committee Member, Chinese Medical Association Biochemistry Group
  • Committee Member, Chinese Stroke Society Clinical Laboratory Branch
  • Committee Member, Chinese Medical Device Industry Association POCT Branch
  • Various leadership roles in regional medical societies in Hunan Province.

🧑‍🔬 Research Interests On laboratory medicine

Zhongyuan’s research spans the molecular mechanisms of autoimmune diseases (e.g., Systemic Lupus Erythematosus), clinical diagnostics innovations (such as AI in laboratory testing), and cancer detection techniques, including high throughput genetic and biochemical diagnostics.

⚙️ Technical Skills

  • Advanced skills in laboratory diagnostics, including molecular biology techniques, immunology, and AI-driven diagnostics tools.
  • Expert in high throughput testing and clinical laboratory systems.
  • In-depth knowledge of biochemical analysis, clinical trials, and diagnostic kit development.

🧑‍🏫 Teaching Experience

  • Master’s thesis supervisor for graduate students in clinical laboratory sciences at Central South University.
  • Course leader for emergency response training in clinical diagnostics.
  • Regular contributor to textbooks and educational resources for medical professionals.

🔬 Research Contributions

  • Funded Research Projects: Lead multiple nationally funded research projects, focusing on autoimmune disease mechanisms and the clinical application of automated diagnostic systems.
  • Publications: Over 30 publications in high-impact journals, with notable work on diagnostic biomarkers and clinical diagnostic technologies.

🏆 Honors & Awards

  • First Place, Hunan Province Science and Technology Progress Award (2024)
  • Hunan Province Graduate Student Excellence Award (2022)
  • Second Place, Hunan Province Science and Technology Progress Award
  • Third Place, Clinical Medical Technology Achievement Award, Xiangya Second Hospital, Central South University

💡 Patents

  • Practical New Utility Patent: “A Multifunctional Indicator Operation Card” (March 2022).

📑  Notable Publications  

Dual genes manipulation enhanced chemotherapy potentiates antitumor immunity based on extracellular vesicle system for glioblastoma treatment
  • 📑 Authors: Y. Yang, X. Wang, M. Wang, J. Chen, Y. Duo
    📰 Journal: Chemical Engineering Journal
    📅 Year: 2024
Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine
  • 📑 Authors: Y. Duo, L. Han, Y. Yang, G. Luo, B. Tang
    📰 Journal: Chemical Reviews
    📅 Year: 2024
D1-like dopamine receptors promote B-cell differentiation in systemic lupus erythematosus
  • 📑 Authors: Z. Xiang, F. Wu, Z. He, W. Liu, M. Yang
    📰 Journal: Cell Communication and Signaling
    📅 Year: 2024

Chao Xu | Algorithmic Dynamic | Best Researcher Award

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Prof Dr. Chao Xu | Algorithmic Dynamic | Best Researcher Award

Huzhou Institute, Zhejiang University | China

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS 🎓

Professor Chao Xu’s academic journey began with his pursuit of a Bachelor of Engineering degree in Mechanical Engineering from Shenyang Aerospace University in 2002. His passion for combining mechanical engineering with advanced mathematics led him to Zhejiang University, where he earned a Master’s degree in Mathematics in 2005. His quest for knowledge took him further to the United States, where he obtained a Ph.D. in Mechanical Engineering and Mechanics from Lehigh University in 2010. These formative years laid the foundation for his future achievements in robotics and intelligent systems.

PROFESSIONAL ENDEAVORS 💼

After completing his Ph.D., Professor Xu embarked on an illustrious career at Zhejiang University, where he currently holds the positions of Vice Dean of the College of Control Science and Engineering and the Founding Dean of the Zhejiang University Huzhou Institute. His academic roles have been complemented by his extensive research work, including his founding of the FAST Lab, which has become a hub for cutting-edge research in robotics and intelligent control. Over the years, he has served as a lecturer, associate professor, and doctoral supervisor, contributing to the education and mentorship of the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Algorithmic Dynamic 🔬

Professor Xu is a pioneer in the fields of multidisciplinary mechanics, control theory, and robotics. His research interests span the design and development of advanced flight systems, including intelligent autonomous flight technologies, robot locomotion physics, and algorithmic dynamics. His work focuses on “Multidisciplinary Mechanics and Control in Robotics” and “Math-Physical Intelligence and Embodiment,” bridging the gap between theory and application in the realm of intelligent systems. His innovative approaches have earned him a position as a key figure in the global robotics community, contributing to the establishment of international standards for intelligent drones.

IMPACT AND INFLUENCE 🌍

Professor Xu’s contributions to the field of robotics have garnered significant recognition, with his research being featured in high-impact journals such as Science Robotics, Nature Machine Intelligence, and IEEE Transactions. His team’s achievement in developing a “Swarm Aerial Robot System” was prominently displayed at the “Forging Ahead in the New Era” exhibition and is now housed in the National Museum. This landmark achievement is a testament to his influence and his leadership in the rapidly advancing field of intelligent robotics. His research has not only contributed to the academic world but has also had a profound impact on industry, media, and policy.

ACADEMIC CITATIONS AND RECOGNITION 📚

Throughout his career, Professor Xu has published over a hundred papers in prestigious journals, cementing his reputation as a leading researcher in his field. His groundbreaking work has earned him widespread recognition, including awards such as the 2024 Frontiers of Science Award by the International Congress of Basic Science. His paper in Science Robotics was also selected as one of Zhejiang University’s Top Ten Academic Achievements in 2022, highlighting the substantial impact of his research. Additionally, Professor Xu’s work continues to inspire new developments in robotics, contributing to the global discourse on the future of intelligent systems.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Professor Xu’s legacy extends beyond his scholarly articles and patents. As the founding director of the FAST Lab and the founding dean of the Zhejiang University Huzhou Institute, he has laid a solid foundation for the continued advancement of robotics and control science at Zhejiang University. His influence is expected to grow as he mentors future generations of engineers and researchers who will push the boundaries of robotics, artificial intelligence, and autonomous systems. His future contributions promise to further revolutionize the way machines interact with humans and the world around them, ensuring his lasting impact on both academic and industrial landscapes.

JOURNAL EDITORSHIP AND LEADERSHIP 📝

In addition to his research, Professor Xu has been an influential figure in academic publishing. As the Executive Editor-in-Chief of IET Cyber-Systems & Robotics, he has provided a platform for new discoveries in robotics and control systems. His leadership in this role ensures that the journal continues to advance research in intelligent systems and robotics while fostering international collaboration. Furthermore, his editorial contributions to the Journal of Industrial and Management Optimization highlight his commitment to the integration of industrial and academic efforts to solve real-world problems.

INTERNATIONAL COLLABORATION AND MEDIA COVERAGE 🌐

Professor Xu’s research has been recognized globally, attracting attention from media outlets such as Xinhua News Agency, Guangming Daily, and The Times. His work has had a profound influence not only in academia but also in the broader global conversation about the future of technology and innovation. His leadership in driving international collaborations and partnerships is essential to the growth and impact of his work on a global scale.

NOTABLE PUBLICATIONS  📑

Swarm of micro flying robots in the wild

📑 Authors: X Zhou, X Wen, Z Wang, Y Gao, H Li, Q Wang, T Yang, H Lu, Y Cao, C Xu, …
📰 Journal: Science Robotics
📅 Year: 2022

Ego-planner: An esdf-free gradient-based local planner for quadrotors

📑 Authors: X Zhou, Z Wang, H Ye, C Xu, F Gao
📰 Journal: IEEE Robotics and Automation Letters
📅 Year: 2020

Geometrically constrained trajectory optimization for multicopters

📑 Authors: Z Wang, X Zhou, C Xu, F Gao
📰 Journal: IEEE Transactions on Robotics
📅 Year: 2022

Dense motion estimation of particle images via a convolutional neural network

📑 Authors: S Cai, S Zhou, C Xu, Q Gao
📰 Journal: Experiments in Fluids
📅 Year: 2019

Ego-swarm: A fully autonomous and decentralized quadrotor swarm system in cluttered environments

📑 Authors: X Zhou, J Zhu, H Zhou, C Xu, F Gao
📰 Journal: 2021 IEEE International Conference on Robotics and Automation (ICRA)
📅 Year: 2021

Particle image velocimetry based on a deep learning motion estimator

📑 Authors: S Cai, J Liang, Q Gao, C Xu, R Wei
📰 Journal: IEEE Transactions on Instrumentation and Measurement
📅 Year: 2019

Xiaohua Bao | Geotechnical Engineering | Best Researcher Award

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Prof. Xiaohua Bao | Geotechnical Engineering | Best Researcher Award

Xiaohua BAO, professor of Shenzhen University, China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS 🎓

Prof. Xiaohua Bao’s academic journey began with a solid foundation in Civil Engineering at Tongji University, China, where he completed his Bachelor’s degree in 2006. His academic curiosity led him to specialize in Tunnel and Underground Construction Engineering, earning his Master’s degree at Tongji University in 2009. Prof. Bao then expanded his expertise internationally by pursuing a dual-degree program at Nagoya Institute of Technology, Japan. Here, he earned both a Master’s degree and a Ph.D. in Geotechnical Engineering, with a focus on soil dynamics and seismic engineering. His rigorous academic training laid the groundwork for his later groundbreaking research and professional achievements. 🌍📚

PROFESSIONAL ENDEAVORS 👨‍🏫

Prof. Bao’s professional career has been marked by leadership roles at Shenzhen University, where he has served as a Lecturer, Assistant Professor, and Professor in the College of Civil and Transportation Engineering since 2013. His role has evolved to include administrative duties such as Vice Dean of the Underground Polis Academy and Vice Dean of the College of Civil and Transportation Engineering. In addition, Prof. Bao’s influence extends beyond the university, with significant appointments on various academic boards, including the Chinese Society for Rock Mechanics & Engineering, and his work as an Editorial Board Member for esteemed journals such as the “Chinese Journal of Rock Mechanics and Engineering” and “Modern Tunnelling Technology.” 🏛️📘

CONTRIBUTIONS AND RESEARCH FOCUS  ON Geotechnical Engineering🔬

Prof. Bao has made remarkable contributions to the field of Geotechnical Engineering, with a primary focus on soil dynamics, seismic resistance of underground structures, and tunnel disaster monitoring and detection. His research has been instrumental in advancing the understanding of how soil dynamics interact with underground structures, particularly in seismic environments. Prof. Bao has secured 6 national-level research projects and has contributed to over 100 academic papers, pushing the boundaries of knowledge in his field. Additionally, his work has resulted in the granting of 47 patents, including 2 U.S. patents, which have significant applications in the construction and engineering sectors. 🏗️🔍

IMPACT AND INFLUENCE 🌟

Prof. Bao’s work has had a profound impact on both the academic and practical aspects of geotechnical engineering. His research has shaped policies, industry standards, and best practices, significantly influencing the design and construction of tunnels and underground structures. The recognition of his work has been reflected in prestigious awards such as the First Prize for the Ministry of Education Science and Technology Progress Award in 2023, as well as the Guangdong Youth Science and Technology Award (Talent Award) in the same year. His contributions have earned him multiple awards over the years, highlighting his lasting influence in his field. 🏆🔧

ACADEMIC CITATIONS 📑

With a vast body of work, Prof. Bao’s academic impact is also reflected in the substantial number of citations his papers have received. His publications, totaling more than 100 academic papers, have been widely referenced by scholars in the fields of Geotechnical Engineering, Tunnel Engineering, and Disaster Monitoring. His research has not only enriched academic knowledge but has also provided practical solutions to real-world engineering challenges, solidifying his position as a thought leader in the field. 📚🌐

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Prof. Bao’s legacy is built upon his innovative research, mentorship, and the many awards and accolades he has received throughout his career. His ability to blend theoretical research with practical applications ensures that his work continues to shape the future of underground construction and geotechnical engineering. Looking forward, Prof. Bao is committed to expanding his research on seismic resistance and disaster monitoring, further advancing the safety and sustainability of underground infrastructure. His ongoing contributions are poised to impact the field for years to come, ensuring that his legacy will inspire future generations of engineers and researchers. 🔮💡

NOTABLE PUBLICATIONS  📑

Intelligent monitoring-based resilience assessment system for prefabricated underground structures based on restorability
  • 📑 Authors: T. Qiu, X. Chen, W. Rao, X. Bao, C. Hong
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
A methodology for evaluating the safety resilience of the existing tunnels induced by foundation pit excavation
  • 📑 Authors: K. Han, Z. Zhai, X. Chen, S. Wang, B. Hou
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
Laboratory investigation on the influence of sedimentation state on small-strain shear modulus in marine layered soils
  • 📑 Authors: X. Bao, H. Yuan, J. Shen, Z. Bao, H. Cui
    📰 Journal: Soil Dynamics and Earthquake Engineering
    📅 Year: 2025
Evaluation of shield-tunnel segment assembly quality using a copula model and numerical simulation
  • 📑 Authors: X. Bao, J. Li, J. Shen, Z. Huang, H. Cui
    📰 Journal: Automation in Construction
    📅 Year: 2025
Seismic resilience assessment method for tunnels based on cloud model considering multiple damage evaluation indices
  • 📑 Authors: J. Shen, X. Bao, X. Chen, T. Qiu, H. Cui
    📰 Journal: Tunnelling and Underground Space Technology
    📅 Year: 2025
Predicting the UCS of polyhydroxyalkanoate and xanthan gum treated sandy soil using gradient boosting algorithms
  • 📑 Authors: S.T. Abbas Jaffar, M.A. Iqbal, X. Bao, F.E. Jalal, X. Chen
    📰 Journal: Journal of Cleaner Production
    📅 Year: 2025
Study on the mechanism of EPWP dissipation at the joints of shield tunnel in liquefiable strata during seismic events
  • 📑 Authors: J. Shen, X. Bao, J. Li, X. Chen, H. Cui
    📰 Journal: Soil Dynamics and Earthquake Engineering
    📅 Year: 2025

 

María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

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Mrs. María Ortiz de Zúñiga | Data Analysis | Best Researcher Award

Mrs. María Ortiz de Zúñiga, UNED and Fusion for Energy, Spain

Publication Profile

Orcid
Google Scholar

🌟 Summary

Mrs. María Ortiz de Zúñiga With over 17 years of experience in Fusion for Energy, I have contributed to various complex, multidisciplinary projects such as the ITER program, leading and managing teams, technical contracts, and large-scale nuclear mechanical systems. My expertise spans across engineering disciplines, including mechanical and computer engineering, and I hold two Master’s degrees in Mechanical Engineering and Computer Engineering. I specialize in project management, leadership, and AI for engineering development, focusing on driving innovation in advanced manufacturing technologies, nuclear safety, and stakeholder management.

🎓 Education

  • Philosopher’s Degree (PhD) in Industrial Technologies
    Universidad Nacional de Educación a Distancia – UNED (2021–Present)
  • Master of Engineering in Mechanical Engineering in Advanced Manufacturing Technologies
    Universidad Nacional de Educación a Distancia – UNED (2017–2021)
  • Master of Engineering in Computer Engineering
    Universidad Pontificia de Comillas – ICAI (2002–2007)

💼 Professional Experience

  • Senior Technical Officer, Fusion for Energy (2022–Present)
    Leading AI for engineering developments in the ITER project, responsible for managing expert contracts and representing F4E in the RCC-MRx nuclear code subcommittee.
  • Deputy Program Manager, Antennas Programme for ITER (2021–2022)
    Managed the design, procurement, and manufacturing of the Electron Cyclotron Antenna, including stakeholder and contract management.
  • Project Manager, ITER Vacuum Vessel Sectors (2019–2021)
    Oversaw the manufacturing of the last 3 European Vacuum Vessel sectors, managing financial, administrative, and technical contract responsibilities.
  • Technical Project Coordinator, ITER Vacuum Vessel (2016–2019)
    Led a team managing technical data, project contracts, and the supply chain for the Vacuum Vessel’s nuclear mechanical systems.
  • Planning Officer, Fusion for Energy (2007–2015)
    Managed planning and scheduling for ITER-related projects, supported risk management, and developed procurement schedules.

📝 Academic Citations

  • Co-chair, Artificial Intelligence Track (CT-19) at ASME-PVP
  • Reviewer at international conferences like SMiRT, ITU, and IAEA
  • Published research on AI in manufacturing and engineering processes for ITER components.

💻 Technical Skills

  • Engineering Software: Proficient in CAD systems, Primavera, Enovia Smarteam PLM, and AI tools for engineering applications.
  • Project Management: Skilled in planning, scheduling, risk management, earned value management, and contract negotiations.
  • Nuclear Safety: Experienced in working with the RCC-MRx code, nuclear safety audits, and quality control for nuclear-related projects.
  • Languages: Fluent in up to 6 European languages.

👩‍🏫 Teaching Experience

  • Co-led the Artificial Intelligence Community within Fusion for Energy to raise awareness and promote AI usage in engineering projects.
  • Actively contributed to Diversity, Equity, and Inclusion initiatives within F4E, supporting training and workshops on these topics.

🔬 Research Interests On Data Analysis

  • Artificial Intelligence for manufacturing optimizations in nuclear components.
  • Data Analysis in high-tech engineering, focusing on predictive models for welding success, ultrasonic testing, and superconducting magnets.
  • Development and integration of advanced manufacturing technologies into nuclear engineering systems.

Publication Top Notes

Project management techniques used in the European Vacuum Vessel sectors procurement for ITER

📑 Authors: M Losasso, MO de Zuniga, L Jones, A Bayon, JF Arbogast, J Caixas, …
📰 Journal: Fusion Engineering and Design
📅 Year: 2012

Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations

📑 Authors: M Ortiz de Zuniga, N Prinja, C Casanova, A Dans Alvarez de Sotomayor, …
📰 Journal: Pressure Vessels and Piping Conference
📅 Year: 2022

Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

📑 Authors: MO de Zúñiga López-Chicheri, M Febvre, ADA de Sotomayor, N Prinja, …
📰 Journal: IASMiRT
📅 Year: 2022

 

Nirmal Kaur | Emotion Recognition | Best Researcher Award

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Assist Prof Dr. Nirmal Kaur | Emotion Recognition | Best Researcher Award 

Assistant Professor Dr. Nirmal Kaur Department of CSE, UIET, Panjab University, India

Publication Profile

Google Scholar

Summary

Dr. Nirmal Kaur is an Assistant Professor at UIET, Panjab University with 19+ years of teaching experience. Her expertise lies in Machine Learning, Deep Learning, Sentiment Analysis, Distributed Computing, and Cybersecurity. She has been a Principal Investigator for multiple research projects and is deeply involved in academics and mentoring.

Education

🎓 Ph.D. in Computer Science & Engineering (I.K. Gujral Punjab Technical University, 2017)
🎓 M.Tech in Computer Science & Engineering (Baba Banda Singh Bahadur Engg. College, 2009)
🎓 B.Tech in Computer Science & Engineering (Punjabi University, 2003)

Professional Experience

🔹 Assistant Professor, UIET, Panjab University (2011–Present)
🔹 Assistant Professor, Bhai Gurdas Institute of Engineering (2005–2011)
🔹 Assistant Professor, Swami Vivekanand Institute of Engineering (2004–2005)

Academic & Professional Roles

📜 Board of Studies Member, Panjab University
🤝 Member of multiple university committees
📝 Editor for the book “Victimization of Women in Cyber Space” (2023)

Technical Skills

💻 Machine Learning, Deep Learning (Audio/Video Deepfake Detection)
📊 Sentiment Analysis (Text, Audio, Video, Multimodal)
🔐 Cybersecurity, Energy Aware Scheduling in Distributed Computing

Teaching Experience

👩‍🏫 19+ years of teaching
💡 Research Guidance for Ph.D. and M.E. students

Research Interests ON Emotion Recognition

🔍 Machine Learning & Deep Learning (Deepfake Detection, Human Pose Estimation)
📱 Sentiment Analysis (Text, Audio, Video, Multimodal)
💻 Distributed Computing (Energy-Aware Scheduling)
🛡️ Cybersecurity (Women’s Cyber Safety)

Achievements

🏅 Best Research Award, UIET (2017)
🏆 Best Paper Award at IC-MISP, NIT Raipur (2022)
🎓 Scholarship from Punjab Govt. (1997)

Publication Top Notes

Review of audio deepfake detection techniques: Issues and prospects
    • Authors: 🧑‍🔬 Dixit, Kaur, Kingra
    • Journal: 📚 Expert Systems
    • Year: 📅 2023
Emergence of deepfakes and video tampering detection approaches: A survey
    • Authors: 🧑‍🔬 Kingra, Aggarwal, Kaur
    • Journal: 📚 Multimedia Tools and Applications
    • Year: 📅 2022
Major Convolutional Neural Networks in Image Classification: A Survey
    • Authors: 🧑‍🔬 Kumar, Kaur, Gupta
    • Journal: 📚 Proceedings of International Conference on IoT Inclusive Life (ICIIL)
    • Year: 📅 2020
LBPNet: Exploiting texture descriptor for deepfake detection
    • Authors: 🧑‍🔬 Kingra, Aggarwal, Kaur
    • Journal: 📚 Forensic Science International: Digital Investigation
    • Year: 📅 2022
Duplication-controlled static energy-efficient scheduling on multiprocessor computing system
    • Authors: 🧑‍🔬 Kaur, Bansal, Bansal
    • Journal: 📚 Concurrency and Computation: Practice and Experience
    • Year: 📅 2017
A survey of routing protocols in wireless sensor networks
    • Authors: 🧑‍🔬 Kaur, Verma, Kavita
    • Journal: 📚 IJET
    • Year: 📅 2018

Fabrizia Devito | Data Quality Enhancement | Women Researcher Award

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Dr. Fabrizia Devito | Data Quality Enhancement | Women Researcher Award 

Dr. Fabrizia Devito , Politecnico di Bari, Italy.

Publication Profile

Orcid
Scopus

Summary 🌍

A passionate researcher in Additive Manufacturing (AM) 🖨️, AI 🤖, and sustainability 🌱. With experience across international academic institutions 🌍, Fabrizia has worked on cutting-edge projects in manufacturing technology ⚙️ and energy systems 🔋, striving to improve production processes and environmental impact 🌎.

Education 🎓

  • Ph.D. Student in Sustainable Development & Climate Change 🌱, Polytechnic of Bari, Italy (2021-2025)
  • Master’s Degree in Management Engineering (Operations Management) ⚙️, Polytechnic of Bari, Italy (2021)
  • Bachelor’s Degree in Management Engineering, Polytechnic of Bari, Italy (2019)
  • Sustainable Development & Climate Change at IUSS-Scuola Universitaria Superiore, Pavia, Italy (2021-2024)

Professional Experience 💼

  • Researcher at Vantia S.r.l. (Spin-Off University of Bari) 🔬, Bari, Italy (2024–Present)
  • Research Assistant at University of Cantabria, Spain 🇪🇸 (2024)
  • Research Assistant at University of Sharjah, UAE 🇦🇪 (2022)
  • Internships at Jaggaer Academy and Fincons S.p.A. 🏢 (2021), and Polytechnic of Bari 🏛️ (2019)

Academic Citations 📚

  • Co-author of research on Additive Manufacturing and sustainable processes at Polytechnic of Bari 📝 (2021-Present)
  • Presentation at IFAC/INSTICC IN4PL 2024 (Porto, Portugal) 🇵🇹 and Global Conference on Sustainable Manufacturing 2023 🌍

Technical Skills 💻

  • Software: AutoCAD 🖥️, Solidworks ⚙️, MATLAB 📊, Python 🐍, Ansys 🏗️, CAE Tools, Rhinoceros 🦏, and more
  • Engineering & Energy Modeling: SimaPro 🌱, OpenLCA ♻️, Zenon, and CYPELUX 🔋
  • Programming: C, C++, Python, Arduino 🖧
  • Simulation & Optimization: Discrete & Continuous Simulation, Finite Element Analysis 🧑‍💻
  • Other Tools: Weka, PostgreSQL, Minitab 📈, RStudio, and more

Teaching & Research Interests On Data Quality Enhancement 🔬

  • Additive Manufacturing 🖨️, AI in Manufacturing 🤖, Sustainable Energy Solutions 🌞
  • Circular Economy ♻️ & Recycling in Additive Manufacturing 🔄
  • Energy System Modeling & Optimization 🔋
  • Machine Learning 📊 applications in Process Optimization

Extracurricular Activities ⚽️

  • Sports: Rowing 🚣‍♀️, Sailing ⛵, Yoga 🧘‍♀️
  • Hobbies: 3D Printing 🖨️, Robotics 🤖, AI 🤖, and Material Engineering 🧪
  • Leadership: Class representative 🗣️ during high school (2015-2016)

Publication Top Notes

Causal technological model for predicting void fraction and energy consumption in material extrusion process of polylactic acid
    • Authors: 🧑‍🔬 Devito, Mazzarisi, Dassisti, Lavecchia
    • Journal: 📚 Journal of Manufacturing Processes
    • Year: 📅 2024
Notch Effect in Acrylonitrile Styrene Acrylate (ASA) Single-Edge-Notch Bending Specimens Manufactured by Fused Filament Fabrication
    • Authors: 🧑‍🔬 Cicero, Devito, Sánchez, Arrieta, Arroyo
    • Journal: 📚 Materials (MDPI)
    • Year: 📅 2024
Business Models and Advanced Additive Manufacturing strategies for better sustainability
    • Authors: 🧑‍🔬 Devito, Copani, Natalicchio, Al-Alami, Lavecchia, Olabi, Dassisti
    • Journal: 📚 Energy Nexus
    • Year: 📅 2024
Advancing Sustainability in Electron and Laser Beam Powder Bed Fusion Technologies via Innovation: Insights from Patent Analysis
    • Authors: 🧑‍🔬 Devito, Natalicchio, Lavecchia, Dassisti
    • Journal: 📚 Computers & Industrial Engineering
    • Year: 📅 2024
In-process detection of defects on parts produced by laser metal deposition using off-axis optical monitoring
    • Authors: 🧑‍🔬 Mazzarisi, Guerra, Latte, Devito, Galantucci, Campanelli, Lavecchia, Dassisti
    • Journal: 📚 International Journal of Advanced Manufacturing Technology
    • Year: 📅 2023
Recent developments of Additive Manufacturing for circular economy
    • Authors: 🧑‍🔬 Devito, Al-Alami, Olabi, Lavecchia, Dassisti
    • Journal: 📚 Journal of Cleaner Production
    • Year: 📅 2024