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.

 

 

Luis Minchala | Disaster Medicine | Outstanding Scientist Award

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Prof. Luis Minchala | Disaster Medicine | Outstanding Scientist Award

Prof. Luis Minchala | Disaster Medicine | Universidad de Cuenca | Ecuador

Prof Luis Ismael Minchala is a highly accomplished researcher whose academic and professional career reflects sustained excellence in advanced control systems, renewable energy integration, and intelligent automation technologies, establishing him as a leading scholar in electrical and electronic engineering. Prof Luis Ismael Minchala completed his higher education with a strong focus on control engineering and digital systems, advancing toward doctoral-level research in intelligent control of microgrids and high-performance embedded platforms, which laid the foundation for his notable contributions to energy management, UAV control, cyber-physical systems, and smart industrial infrastructures. Professionally, Prof Luis Ismael Minchala has served in key academic and research roles, contributing significantly to the development of engineering programs, supervising graduate theses, engaging in multidisciplinary research, and collaborating widely with international partners from Canada, Finland, Mexico, and across Latin America. His research interests span renewable energy systems, microgrid stability, fault-tolerant control, robust optimization, real-time embedded automation, UAV tracking, intelligent SCADA architectures, and IoT-based sensing technologies. Prof Luis Ismael Minchala possesses strong research skills including advanced modeling and simulation, optimal and predictive control design, digital signal processing, algorithm development, system identification, experimental prototyping, and data-driven control strategies supported by state-of-the-art computational tools. His diverse expertise is reflected in numerous high-impact publications indexed in IEEE, Scopus, and top interdisciplinary journals. Prof Luis Ismael Minchala has earned recognition for his scientific impact, evidenced by more than one thousand citations, a strong h-index, and extensive international co-authorship with leading experts including IEEE Fellows. His work has also contributed to major funded research initiatives related to smart energy systems, optimization of microgrid operations, and advanced sensing for industrial automation. Throughout his career, Prof Luis Ismael Minchala has been honored for academic excellence, innovative research output, community engagement in engineering education, and leadership in collaborative scientific projects. His awards and distinctions highlight his dedication to advancing engineering solutions that support sustainable energy systems and modern industrial technologies. In conclusion, Prof Luis Ismael Minchala stands out as a distinguished researcher whose contributions continue to shape the future of renewable energy integration, intelligent control systems, and digital industrial innovation, demonstrating a clear trajectory of high-impact scholarship, strong technical competence, and promising future potential in global research leadership.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Minchala-Avila, L. I., Garza-Castañón, L. E., Vargas-Martínez, A., & Zhang, Y. (2015). A review of optimal control techniques applied to the energy management and control of microgrids. Citations: 177.

  2. Minchala-Avila, L. I., Garza-Castañon, L., Zhang, Y., & Ferrer, H. J. A. (2016). Optimal energy management for stable operation of an islanded microgrid. Citations: 110.

  3. Ortiz, J. P., Minchala, L. I., & Reinoso, M. J. (2016). Nonlinear robust H-infinity PID controller for the multivariable system quadrotor. Citations: 102.

  4. Reinoso, M. J., Minchala, L. I., Ortiz, P., Astudillo, D. F., & Verdugo, D. (2016). Trajectory tracking of a quadrotor using sliding mode control. Citations: 93.

  5. Yu, B., Zhang, Y., Minchala, I., & Qu, Y. (2013). Fault-tolerant control with linear quadratic and model predictive control techniques against actuator faults in a quadrotor UAV. Citations: 75.

 

Oznur Karaca | Environmental Science | Research Excellence Award

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Assoc. Prof. Dr. Oznur Karaca | Environmental Science | Research Excellence Award

Assoc. Prof. Dr. Oznur Karaca | Environmental Science | Associate Professor at Çanakkale Onsekiz Mart University | Turkey

Assoc. Prof. Dr. Oznur Karaca is a distinguished researcher in Geological Engineering whose work spans environmental geotechnics, soil mechanics, engineering geology, GIS, and remote sensing, earning her strong recognition in both academic and applied research communities. Assoc. Prof. Dr. Oznur Karaca completed her higher education in Geological Engineering, culminating in a doctoral degree that laid the foundation for her internationally oriented research career. She has held progressive academic and professional roles, contributing extensively to university-level teaching, interdisciplinary research supervision, and collaborative international projects focused on sustainable remediation, environmental risk assessment, and geo-environmental engineering solutions. Her research interests include electrokinetic remediation, mine tailing contamination, flood susceptibility mapping, geochemical characterization of sediments, groundwater quality assessment, and the integration of GIS-based multicriteria decision analysis for environmental planning. Assoc. Prof. Dr. Oznur Karaca demonstrates strong research skills in geotechnical laboratory experimentation, field investigation, soil and water interaction studies, data modeling, environmental impact assessments, and the development of remediation technologies for metal-contaminated soils. Her scholarly achievements include impactful publications in high-quality journals indexed in Scopus, Web of Science, and IEEE, with notable citation influence highlighted by her cumulative citation record and collaborative outputs with leading researchers worldwide. She has worked with international partners on environmental sustainability projects addressing soil contamination, mining impacts, and groundwater quality, showcasing her capacity to lead and participate in global scientific initiatives. Assoc. Prof. Dr. Oznur Karaca has received recognitions and academic honors for her research productivity, contributions to environmental engineering, and involvement in professional scientific societies. Her awards reflect sustained excellence in research dissemination, conference presentations, and community-engaged environmental solutions. She continues to contribute as a reviewer, mentor, and academic leader across research networks, strengthening scientific exchange and advancing multidisciplinary collaboration. In conclusion, Assoc. Prof. Dr. Oznur Karaca represents a highly accomplished academic whose research, professional expertise, and commitment to environmental problem-solving highlight her as an influential contributor to the field. Her broad skill set, strong publication record, international partnerships, and capacity for innovative geo-environmental solutions underline her potential for continued advancement and recognition within global scientific communities.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Karaca, O., Cameselle, C., & Reddy, K. R. (2018). Mine tailing disposal sites: contamination problems, remedial options and phytocaps for sustainable remediation. Citations: 224

  2. Gül, A., Örücü, M. K., & Karaca, O. (2006). An approach for recreation suitability analysis to recreation planning in Gölcük Nature Park. Citations: 120

  3. Karaca, O., Cameselle, C., & Bozcu, M. (2019). Opportunities of electrokinetics for the remediation of mining sites in Biga peninsula, Turkey. Citations: 44

  4. Karaca, O., Cameselle, C., & Reddy, K. R. (2017). Acid pond sediment and mine tailings contaminated with metals: physicochemical characterization and electrokinetic remediation. Citations: 40

  5. Tiryaki, M., & Karaca, O. (2018). Flood susceptibility mapping using GIS and multicriteria decision analysis: Saricay-Çanakkale (Turkey). Citations: 27

 

 

Abbas Guvalov | Nanotechnology | Best Researcher Award

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Mr. Abbas Guvalov | Nanotechnology | Best Researcher Award

Mr. Abbas Guvalov | Nanotechnology | Azerbaijan University of Architecture and Construction | Azerbaijan

Mr. Abbas Guvalov is a highly respected academic in the field of Materials Science, recognized for his extensive career and long-standing contribution to architectural and construction education. Serving at the Azerbaijan University of Architecture and Construction for several decades, Mr. Abbas Guvalov has established himself as a leading expert in advanced construction materials, ceramic composites, and porous gravel technologies, shaping the scientific direction of sustainable building practices. His educational background reflects a deep specialization in materials-focused research, supported by his progression into a professorial role where he continues to influence both theoretical and applied aspects of material engineering. Throughout his professional experience, Mr. Abbas Guvalov has demonstrated excellence in teaching, supervising students, participating in research collaborations, and contributing to the academic development of his institution. His research interests span material characterization, innovative stone-like clay composites, expanded porous materials, environmentally responsible construction technologies, and the development of high-strength structural components. In terms of research skills, Mr. Abbas Guvalov is proficient in experimental design, material synthesis, structural evaluation, academic writing, scientific analysis, interdisciplinary collaboration, and the implementation of sustainable material technologies. His featured publication, Obtaining High-Quality Expanded Porous Gravel Based on Low-Expanding Stone-Like Clay, published as a book chapter under a reputable scientific publisher, highlights his contribution to the field and his collaborative engagement with other materials scientists. Over the years, Mr. Abbas Guvalov has earned recognition within his academic community for his dedication to research, teaching, and knowledge dissemination; however, publicly listed awards and honors are not available in the verified records, indicating opportunities for further profile enhancement. As a scholar with substantial academic experience, he remains committed to advancing Materials Science through continuous research, participation in global academic networks, and contribution to high-quality scientific output. In conclusion, Mr. Abbas Guvalov exemplifies academic integrity, professional dedication, and a strong commitment to scientific advancement, with continued potential for expanding his international research presence, producing new high-impact publications, and contributing meaningfully to evolving developments in sustainable construction materials.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Mammadov, H. N., & Guvalov, A. A. (2021). Obtaining High-Quality Expanded Porous Gravel Based on Low-Expanding Stone-Like Clay.

 

 

Natalia Spyropoulou | Education | Research Excellence Award

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Dr. Natalia Spyropoulou | Education | Research Excellence Award

Dr. Natalia Spyropoulou | Education | Hellenic Open University | Greece

Dr. Natalia Spyropoulou is a highly accomplished researcher whose work focuses on STEAM education, competence development, lifelong learning, course design, and large-scale MOOC development, contributing significantly to digital learning innovation at the Hellenic Open University and Ionian University. She holds a strong academic foundation culminating in a doctorate in education-related research from a recognized European institution, where she specialized in designing technology-enhanced learning environments and competency-driven instructional frameworks for educators. In her professional experience, Dr. Natalia Spyropoulou has served in various academic and research capacities, participating in collaborative international projects that examine the integration of STEM and STEAM methodologies, online professional development programs, and the role of IoT in shaping student engagement and STEM career pathways. She has maintained active research collaborations with leading scholars and institutions, contributing to multidisciplinary initiatives across Europe. Her research interests include educator competence frameworks, digital pedagogy, virtual learning spaces, communities of practice, MOOC usability, STEM career development, and the broader evolution of distance and flexible higher education. Demonstrating robust research skills, she excels in mixed-methods research design, data analysis, MOOC development strategies, instructional design, and evaluation of digital learning tools across formal and informal education settings. Her scholarly impact is supported by more than 509 citations, an h-index of 13 and an i10-index of 15, alongside active contributions to IEEE-indexed and Scopus-indexed publications. She has collaborated with international research teams and has contributed to policy-driven educational projects focused on empowering educators through structured competence frameworks. Dr. Natalia Spyropoulou has also been involved in notable educational innovation initiatives and has been recognized through invitations to participate in academic conferences, professional development initiatives, and community-based educational programs, highlighting her academic service and leadership. Her awards and honors reflect her contributions to STEAM education development, distance learning innovation, and cross-institutional educational collaboration. Dr. Natalia Spyropoulou’s work demonstrates a consistent commitment to enhancing educator preparation, advancing research-based digital learning solutions, and shaping the future of STEAM pedagogy. She continues to expand her research footprint by contributing to international collaborations, advancing evidence-based instructional frameworks, and fostering the development of modern educational ecosystems that support student engagement, career readiness, and educator professional growth.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Spyropoulou, N., Pierrakeas, C., & Kameas, A. (2014). Creating MOOC guidelines based on best practices. Citations: 71

  2. Spyropoulou, N., Demopoulou, G., Pierrakeas, C., Koutsonikos, I., & Kameas, A. (2015). Developing a computer programming MOOC. Citations: 49

  3. Spyropoulou, N., & Kameas, A. (2024). Augmenting the impact of STEAM education by developing a competence framework for STEAM educators for effective teaching and learning. Citations: 46

  4. Spyropoulou, N., Glaroudis, D., Iossifides, A., & Zaharakis, I. (2020). Fostering secondary students’ STEM career awareness through IoT hands-on educational activities: Experiences and lessons learned. Citations: 31

  5. Glaroudis, D., Iossifides, A., Spyropoulou, N., Zaharakis, I., & Kameas, A. (2019). STEM learning and career orientation via IoT hands-on activities in secondary education. Citations: 29

 

Xinyue Xu | Computer Science | Research Excellence Award

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Ms. Xinyue Xu | Computer Science | Research Excellence Award

Ms. Xinyue Xu | Computer Science | University of Chinese Academy of Sciences | China

Ms Xinyue Xu is a dedicated researcher affiliated with the University of Chinese Academy of Sciences, where she advances her work in intelligent defect detection, robust deep-learning architectures, and computer vision applications for industrial automation. Ms Xinyue Xu completed her doctoral studies in a computing-related discipline at the University of Chinese Academy of Sciences, focusing on lightweight neural network optimization, blur-robust models, and intelligent inspection frameworks that address real-world engineering challenges. Her professional experience includes academic research responsibilities within her institution, participation in collaborative laboratory initiatives, and involvement in international research efforts related to machine vision and high-precision defect-detection systems. Her primary research interests include computer vision, artificial intelligence, defect detection in industrial components, lightweight convolutional models, and the development of high-efficiency architectures suitable for real-time inspection tasks. Ms Xinyue Xu possesses strong research skills in model design, data-driven algorithm development, image processing, neural network compression, performance benchmarking, and experimental evaluation across diverse industrial datasets. Her ORCID profile documents her contribution to the Scopus-indexed journal article FDC-YOLO: A Blur-Resilient Lightweight Network for Engine Blade Defect Detection, where she introduces an enhanced lightweight framework capable of handling blur-induced recognition challenges. This publication demonstrates her technical rigour, methodological clarity, and ability to address practical industrial problems through advanced machine-learning models. Although early in her career, Ms Xinyue Xu exhibits promising scholarly potential and continues to strengthen her academic record. Her research visibility and contributions make her eligible for participation in professional associations such as IEEE and ACM, and her academic accomplishments position her well for future recognition in emerging researcher and innovation-focused award categories. Her honors include her contribution to high-quality peer-reviewed research published in an international journal indexed in Scopus. Moving forward, Ms Xinyue Xu is well positioned to expand her publication portfolio, engage in broader interdisciplinary collaboration, strengthen her global research presence, and contribute to the development of next-generation intelligent inspection technologies. With her commitment to scientific advancement, growing research output, and expertise in applied AI, she continues to demonstrate strong potential for leadership and long-term impact in her field.

Academic Profile: ORCID

Featured Publications:

  1. Xu, X., Li, F., Xiong, L., He, C., Peng, H., Zhao, Y., & Song, G. (2025). FDC-YOLO: A blur-resilient lightweight network for engine blade defect detection. Algorithms.