Ze Xiang | Structure optimization | Best Researcher Award

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Dr. Ze Xiang | Structure optimization | Best Researcher Award

Dr. Ze Xiang | Structure optimization | Associate professor at Shaoyang University | China

Dr. Ze Xiang is an accomplished scholar in structural engineering whose work integrates advanced computational modelling, bridge structural behavior, and high-performance composite materials, establishing Him as a significant contributor to modern civil infrastructure research. His academic foundation is strengthened by comprehensive engineering education, culminating in doctoral studies completed at a well-recognized institution where He specialized in structural durability, fatigue mechanisms, and innovative construction materials. Over the course of His professional experience, Dr. Ze Xiang has served in academic and research-focused roles at respected institutions, contributing to teaching, mentoring, and collaborative research while participating in cross-institutional and international engineering initiatives that have further enhanced His technical scope and global perspective. His research interests span fatigue crack propagation, XFEM modelling, steel–UHPC composite deck optimization, long-span bridge performance, computational engineering simulations, and structural material behavior under complex loading conditions. Through these research domains, He has developed strong skills in finite element analysis, multi-objective optimization, numerical computation, structural assessment, and performance-based design, alongside proficiency with advanced engineering software and analytical tools widely used in structural engineering research. His contributions are evidenced by His Scopus-indexed publications, consistent citation performance, and growing research influence in the fields of bridge engineering and composite structural systems, while His works published in reputable international journals highlight His analytical depth and problem-solving abilities. In addition to research productivity, Dr. Ze Xiang has earned recognition through institutional honors, research commendations, and academic achievements that reflect His dedication to advancing structural engineering knowledge and contributing impactful solutions to practical engineering challenges. His professional involvement extends to active participation in engineering conferences, collaborative design projects, and cooperative studies that support the development of improved infrastructure systems, while His ability to bridge theoretical research with real-world engineering needs underscores His leadership potential. Overall, Dr. Ze Xiang continues to advance His research portfolio through high-impact studies, interdisciplinary exploration, and technical innovation, demonstrating a strong commitment to expanding the boundaries of structural engineering and contributing meaningfully to global scientific progress, with His future work expected to further enhance structural reliability, sustainability, and engineering innovation.

Academic Profile: Scopus

Featured Publications:

  1. Xiang, Z. (2024). Research on propagation behaviors of fatigue cracks of arc-cutouts in diaphragms based on XFEM. Citations: 1.

  2. Xiang, Z. (2023). Multi-objective optimization of open-ribbed steel-UHPC composite bridge deck based on NSGA-II. Citations: 2.

Qingbing Chang | Robotics | Research Excellence Award

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Assoc. Prof. Dr. Qingbing Chang | Robotics | Research Excellence Award

Assoc. Prof. Dr. Qingbing Chang | Robotics | Associate Professor at Northeast Forestry University | China

Assoc. Prof. Dr. Qingbing Chang is an accomplished researcher whose academic journey reflects deep expertise in piezoelectric actuation, micro–nano positioning, advanced robotics, and precision mechatronic engineering, supported by a strong record of scholarly excellence and international collaboration. With a solid educational foundation culminating in a doctoral degree in mechanical and mechatronic systems from a leading research-focused university, Assoc. Prof. Dr. Qingbing Chang has built a distinguished career through progressive academic appointments, interdisciplinary laboratory leadership, and contributions to high-impact collaborative research teams working across robotics, optical systems, and cross-scale actuation technologies. His professional experience spans advanced design of multi-degree-of-freedom piezoelectric devices, robotic micromanipulation platforms, micro–nano motion control systems, actuator modeling, and precision instrument calibration, allowing Him to contribute both theoretical advancements and engineering innovations to the global research community. His research interests include cross-scale robotic actuation, stick–slip mechanisms, inertial actuation, multi-DOF piezoelectric structures, biologically assisted puncture robotics, optical alignment systems, and intelligent robotic mechanisms, with a consistent focus on improving stiffness, decoupling performance, load capacity, velocity, and accuracy across micro-to-macro motion manipulation platforms. Assoc. Prof. Dr. Qingbing Chang’s research skills encompass system modeling, structural optimization, experimental validation, optical and mechanical integration, microfabrication concepts, and high-precision measurement techniques, enabling Him to produce impactful results published in internationally indexed journals. He has contributed to widely cited works in IEEE Transactions on Industrial Electronics, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, Mechanical Systems and Signal Processing, Smart Materials and Structures, and other leading Scopus-indexed engineering journals. His achievements have earned Him academic honors, recognition for innovative piezoelectric actuator development, and respect within research communities through active participation in scholarly networks and contributions to multi-institutional projects. With more than five hundred citations, consistent publication impact, and ongoing collaborations with esteemed researchers from major robotics laboratories, Assoc. Prof. Dr. Qingbing Chang continues to advance the field through high-quality scholarship and engineering innovation. His future trajectory remains strongly oriented toward developing next-generation micro–nano robotic devices, intelligent sensing-actuation platforms, and cross-disciplinary robotic systems that integrate precision engineering, materials science, and artificial intelligence, positioning Him as an influential contributor to future breakthroughs in advanced mechatronic and robotic technologies.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Piezo robotic hand for motion manipulation from micro to macro. (2023). Citation Count: 118.

  2. Design of a precise linear-rotary positioning stage for optical focusing based on the stick-slip mechanism. (2022). Citation Count: 62.

  3. Development of a novel two-DOF piezo-driven fast steering mirror with high stiffness and good decoupling characteristic. (2021). Citation Count: 60.

  4. A simplified inchworm rotary piezoelectric actuator inspired by finger twist: design, modeling, and experimental evaluation. (2023). Citation Count: 55.

  5. Development of a low capacitance two-axis piezoelectric tilting mirror used for optical assisted micromanipulation. (2021). Citation Count: 49.

 

Maria Giovanna Belcastro | Biological Sciences | Women Researcher Award

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Prof. Maria Giovanna Belcastro | Biological Sciences | Women Researcher  Award

Prof. Maria Giovanna Belcastro | Biological Sciences | Professor at Università di Bologna | Italy

Prof. Maria Giovanna Belcastro is a distinguished scholar in Physical Anthropology and Bioarchaeology whose career reflects sustained academic leadership, rigorous methodological innovation, and internationally recognized research excellence. Prof. Maria Giovanna Belcastro completed her higher education and doctoral training in Physical Anthropology at the Alma Mater Studiorum – Università di Bologna, where she ultimately advanced to the position of Full Professor, contributing significantly to the development of osteological, bioarchaeological, and palaeopathological research. Across her academic trajectory, Prof. Maria Giovanna Belcastro has accumulated extensive professional experience through long-term research collaborations, supervision of archaeological and forensic investigations, and participation in major international projects examining population history, disease evolution, skeletal biomechanics, and lifestyle reconstructions in ancient communities. Her research interests encompass entheseal morphology, ageing estimation techniques, palaeopathology, dental anthropology, human skeletal variation, and the bioarchaeology of past populations, with her contributions consistently informing both theoretical frameworks and applied methodologies used in contemporary anthropological analysis. Prof. Maria Giovanna Belcastro possesses strong research skills in skeletal analysis, forensic identification methods, quantitative morphology, standardized scoring system development, and interdisciplinary integration of anthropological, archaeological, and biomedical data. She has produced a substantial body of peer-reviewed work indexed in Scopus and other leading databases, supported by a citation record exceeding 5000 citations with an H-index of 35 and an i10-index of 79, underscoring her influence in the global research community. Her awards and honors include recognitions for her contributions to anthropological sciences, leadership in collaborative excavation projects, and impact on advancing bioarchaeological methodology. She has also held various academic and scientific service roles, including involvement in editorial activities, conference participation, and international network collaborations that promote innovation within the discipline. Her future research trajectory demonstrates strong potential for leading integrative studies that combine osteobiography, paleogenetics, high-resolution imaging, and computational approaches to further enhance understanding of human adaptation, biological stress markers, and health transitions across historical periods. Overall, Prof. Maria Giovanna Belcastro’s sustained scholarly productivity, international research presence, and commitment to advancing anthropological science firmly establish her as a leading expert in her field and a highly deserving candidate for academic recognition.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Mariotti, V., Facchini, F., & Belcastro, M. G. (2007). The study of entheses: Proposal of a standardised scoring method for twenty-three entheses of the postcranial skeleton. 431 citations.

  2. Mariotti, V., Facchini, F., & Belcastro, M. G. (2004). Enthesopathies: Proposal of a standardized scoring method and applications. 399 citations.

  3. Cameriere, R., Ferrante, L., Belcastro, M. G., Bonfiglioli, B., Rastelli, E., et al. (2007). Age estimation by pulp/tooth ratio in canines by peri-apical X-rays. 348 citations.

  4. Milella, M., Belcastro, M. G., Zollikofer, C. P. E., & Mariotti, V. (2012). The effect of age, sex, and physical activity on entheseal morphology in a contemporary Italian skeletal collection. 236 citations.

  5. Belcastro, G., Rastelli, E., Mariotti, V., Consiglio, C., Facchini, F., et al. (2007). Continuity or discontinuity of lifestyle in central Italy during the Roman Imperial–Early Middle Ages transition: Diet, health, and behavior. 211 citations.

 

 

Gary Wong | Computer Science | Best Researcher Award

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Prof. Dr. Gary Wong | Computer Science | Best Researcher Award

Prof. Dr. Gary Wong | Computer Science | The University of Hong Kong | Hong Kong

Prof. Dr. Gary Wong is a highly accomplished scholar in computer science education whose research contributions have significantly influenced the fields of computational thinking, digital literacy, technology-enhanced learning, and K–12 AI education. With a strong academic foundation supported by advanced degrees from leading institutions, his educational background reflects rigorous training in both pedagogy and computer science, enabling Him to bridge disciplinary boundaries with expertise and innovation. Throughout his professional career, Prof. Dr. Gary Wong has held key academic and leadership roles, contributing to major international research initiatives, collaborating with renowned global scholars, and publishing impactful studies that guide educational technology policies and classroom practices. His research interests encompass computational thinking development, digital literacy assessment, educational data analysis, teacher professional development, AI-in-education integration, and immersive learning design, and he demonstrates strong methodological skills in both qualitative and quantitative research approaches. His scholarly output includes numerous Scopus-indexed and IEEE publications that are extensively cited worldwide, shaping frameworks for digital skills assessment, pedagogical innovation, and technology adoption among educators. His research skills include large-scale data analysis, cross-cultural educational research, experimental design, research instrument development, and systematic reviews with meta-analytic rigor. Prof. Dr. Gary Wong has received multiple recognitions and honors for academic excellence, peer-review contributions, and impactful research, reflecting his prominence in the global education technology community. He has collaborated with leading universities and contributed to funded international research projects focused on curriculum innovation and computational thinking education. Additionally, he is actively involved in academic service, editorial review roles, and professional memberships in major associations such as IEEE and ACM, demonstrating strong engagement with scholarly communities and educational leadership. His substantial citation metrics further reflect the global influence of his work across multiple research domains. In conclusion, Prof. Dr. Gary Wong stands out as a leading expert whose research excellence, innovative contributions, and strong academic leadership continue to advance the global understanding of technology-enhanced learning and computational thinking education, positioning Him as a driving force for future advancements in education research worldwide.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. A global framework of reference on digital literacy skills for indicator 4.4.2. (2018). Citation Count: 662

  2. Broadening artificial intelligence education in K-12: Where to start? (2020). Citation Count: 294

  3. Designing unplugged and plugged activities to cultivate computational thinking: An exploratory study in early childhood education. (2020). Citation Count: 260

  4. Exploring children’s perceptions of developing twenty-first century skills through computational thinking and programming. (2020). Citation Count: 153

  5. The behavioral intentions of Hong Kong primary teachers in adopting educational technology. (2016). Citation Count: 149

 

 

Faisal Mehmood | Cybersecurity | Publication Excellence Award

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Dr. Faisal Mehmood | Cybersecurity | Publication Excellence Award

Dr. Faisal Mehmood | Cybersecurity | Research Assistant at Guangxi Minzu University | China

Dr Faisal Mehmood earned his Ph.D. in Mathematics from Beijing Institute of Technology. He currently serves as Lecturer at Guangxi Minzu University (China), after previously working as Assistant Professor at the Institute of Space Technology. His research interests lie in fuzzy algebra, fuzzy vector spaces, fuzzy rings, fuzzy decision-making models, and applications of fuzzy mathematics to computational and security problems. He is experienced in developing novel mathematical frameworks — for example, generalizing classical vector spaces to “M-hazy” vector spaces over “M-hazy” fields — and in applying such theoretical developments to real-world problems like multi-attribute decision making and cybersecurity (e.g., closed-loop time-delay feedback control systems for DDoS mitigation). His research skills include abstract algebra, fuzzy set theory, formal proof construction, fuzzy aggregation operator design, and interdisciplinary application bridging mathematics with computer security. Among his honours, his work has been accepted by peer-reviewed international journals, and some of his papers have attracted citations in the mathematical and computational literature. Through his publications and employment history, Dr Mehmood has demonstrated a balance of rigorous theoretical research and applied problem-solving, contributing to both the foundations of fuzzy algebra and its computational applications. He is also connected to international academic networks, and his ORCID profile ensures traceability of his scholarly record. In conclusion, Dr Mehmood is a promising and productive mathematician whose combination of strong algebraic expertise, research versatility, and commitment to applied interdisciplinary work position him as a valuable candidate for further research funding or awards.

Academic Profile: ORCID | Scopus

Featured Publications:

Mehmood, F., & Shi, F.-G. (2021). M-Hazy Vector Spaces over M-Hazy Field. Mathematics, 9(10), 1118. (Cited by 3)

Mehmood, F., & Liu, H. (2024). Some Complex Picture Fuzzy Aggregation Operators Based on Frank t-norm and t-conorm: An Application to Multi-Attribute Decision-Making (MADM) Process. Computing Open. (Cited by 1)

Mehmood, F., Huang, K., Wang, L., & Liu, J. (2025). Design and Implementation of a Closed Loop Time Delay Feedback Control (CLTD-FC) System for Mitigating DDoS Attacks. Computers & Security.