Wu Wei | Fiber | Best Researcher Award

Published on by Sciencefather

Dr. Wu Wei | Fiber | Best Researcher Award

Dr. Wu Wei | Fiber | President at BoZhan frontier(Zhejiang) New-material Technology Co.,Ltd | China

Dr. Wu Wei is a distinguished researcher known for his extensive contributions to nanofiber materials, precision engineering, and robotic motion control, supported by a strong academic profile marked by 165 citations, an h-index of 7, and an i10-index of 4. Dr. Wu Wei’s academic training in engineering and advanced manufacturing laid a solid foundation for his expertise in nanofiber production, melt-blowing modifications, flash-spinning techniques, fabric performance analysis, and high-precision robotic systems. Over the course of his professional career, Dr. Wu Wei has worked in collaborative research environments where he has played a central role in developing novel nonwoven nanofiber materials, advancing oil adsorption and air filtration technologies, and enhancing ultra-precision abrasive machining processes. His work further extends to robotic system synchronization, ball-rolling trajectory analysis, and motion error prediction for industrial dual-arm robots. Dr. Wu Wei’s research interests encompass nanofiber fabrication, filtration behavior, sound absorption, abrasive finishing, precision machining, robotic force control, and advanced automation technologies, reflecting his strong interdisciplinary perspective. His technical skills include experimental nanofiber characterization, automated manufacturing optimization, robotic motion analysis, material performance testing, and the design of high-efficiency nonwoven materials with industrial applicability. Dr. Wu Wei has authored numerous Scopus-indexed and IEEE-associated publications, which continue to receive international recognition for their methodological rigor and applied engineering relevance. His contributions include high-impact works on air filter properties of nanofiber nonwovens, development of abrasive buffing pads, and synchronous accuracy enhancements for robotic plate control, demonstrating his commitment to innovation and scientific advancement. Dr. Wu Wei has participated in multiple collaborative research projects and conference presentations, strengthening his global footprint in materials science and automation technology. His awards and honors reflect professional acknowledgment for excellence in applied research, contributions to next-generation nanomaterials, and innovations in robotic motion systems. In conclusion, Dr. Wu Wei stands as an influential and forward-thinking engineer whose work continues to advance the boundaries of smart manufacturing, sustainable material development, and high-precision robotics, with strong potential for leading future advancements in industrial automation and engineered nanofiber technologies.

Academic Profile: Google Scholar

Featured Publications:

  1. Wu, W., Sota, H., Hirogaki, T., & Aoyama, E. (2021). Investigation of air filter properties of nanofiber non-woven fabric manufactured by a modified melt-blowing method along with flash spinning method. (Cited 35 times)

  2. Wu, W., Hirogaki, T., & Aoyama, E. (2012). Motion control of rolling ball by operating the working plate with a dual-arm robot. (Cited 16 times)

  3. Wu, W., Hirogaki, T., Aoyama, E., Ikegaya, M., & Sota, H. (2019). Investigation of oil adsorption performance of polypropylene nanofiber nonwoven fabric. (Cited 14 times)

  4. Wu, W., Hirogaki, T., & Aoyama, E. (2012). Investigation of synchronous accuracy of dual arm motion of industrial robot. (Cited 9 times)

  5. Wu, W., Aoyama, E., Hirogaki, T., Urabe, K., & Sota, H. (2019). Development of nanofibre abrasive buffing pad produced with modified melt blowing method. (Cited 9 times)

  6. Wu, W., Ma, L., Aoyama, E., Hirogaki, T., Ikegaya, M., & Echizenya, T. (2017). Study on oil adsorption and polishing characteristics by novel nanofiber pad for ultra-precision abrasive machining. (Cited 9 times)

  7. Wu, W., Urabe, K., Hirogaki, T., Aoyama, E., & Sota, H. (2020). Investigation of production of nanofiber nonwoven fabric and its thermal properties. (Cited 7 times)

 

Shilong Lin | Computer Science | Best Researcher Award

Published on by Sciencefather

Mr. Shilong Lin | Computer Science | Best Researcher Award

Mr. Shilong Lin | Computer Science | Guangxi Normal University | China

Mr Shilong Lin is a dedicated researcher in computer science, specializing in graph neural networks, representation learning, and advanced machine learning methods, and he is currently affiliated with the School of Computer Science and Engineering at Guangxi Normal University, where he is engaged in both academic research and teaching activities; Mr Shilong Lin has pursued his education within the same institution, building a strong foundation in artificial intelligence, machine learning, and data-driven modeling, and his academic journey has enabled him to develop deep expertise in designing algorithms for node classification, graph similarity learning, contrastive learning, and adaptive feature fusion; throughout his professional experience, Mr Shilong Lin has collaborated with notable international scholars such as Guangquan Lu, Longqing Du, Shichao Zhang, Cuifang Zou, and Xuxia Zeng, contributing to impactful research projects that address challenges in imbalanced data learning, multi-hop contrastive approaches, multi-scale graph feature fusion, and cross-level interaction modeling; his research interests span graph representation learning, deep learning architectures, imbalance-aware modeling, scalable graph algorithms, and AI-driven knowledge discovery, and these interests have shaped his contribution to several high-quality journal and conference publications across reputed platforms including Neurocomputing, Information Processing & Management, and the International Joint Conference on Artificial Intelligence (IJCAI); in terms of research skills, Mr Shilong Lin demonstrates strong capabilities in algorithm design, graph neural network development, experimental evaluation, data preprocessing, model optimization, and collaborative scientific writing, supported by his competence in programming, machine learning frameworks, and scientific communication; while building his research trajectory, Mr Shilong Lin has also contributed to academic community participation through teamwork, collaborative problem solving, and involvement in multi-author research projects that enhance the scientific visibility of his institution; his awards and honors reflect his ongoing contribution to high-quality research, including recognition for publications in top-tier AI and computational intelligence venues and his involvement in internationally indexed works listed under ORCID; overall, Mr Shilong Lin continues to advance his research career with strong dedication, intellectual rigor, and a vision of contributing to the development of efficient, explainable, and scalable graph learning systems, and his growing academic output positions him as a promising scholar who is steadily building an impactful presence in the global artificial intelligence research community.

Academic Profile: ORCID

Featured Publications:

  1. Lin, S., Lu, G., Zhang, S., Du, L., & Luo, Z. (2025). Synthesizing stronger nodes for minority classes in imbalanced node classification.

  2. Zeng, X., Lu, G., Zou, C., Lin, S., Du, L., & Zhang, S. (2025). Multi-hop contrastive learning with feature augmentation for node classification.

  3. Zou, C., Lu, G., Zhang, W., Zeng, X., Lin, S., Du, L., & Zhang, S. (2025). Enhanced graph similarity learning via adaptive multi-scale feature fusion.

  4. Zou, C., Lu, G., Du, L., Zeng, X., & Lin, S. (2025). Graph similarity learning for cross-level interactions.

 

Marco Visentin | Economics | Best Research Article Award-1990

Published on by Sciencefather

Mr. Marco Visentin | Economics | Best Research Article Award

Mr. Marco Visentin | Economics | DBA Group | Italy

Mr Marco Visentin is an Associate Professor in Management and Marketing at the University of Bologna, combining a rigorous academic foundation with a deeply ethical and relational vision of business. He earned a Laurea in Mathematics from the University of Trento, followed by a Ph.D. in Management from the University of Bologna, and later also completed a Bachelor’s in Philosophy and a Ph.D. in Philosophy, reflecting his interdisciplinary curiosity. Professionally, he has served on the faculty of Bologna’s Department of Business Sciences since becoming an Associate Professor, and he directs the second-cycle Degree in Service Management. His research interests lie in customer relationship management (CRM) in both B2B and B2C contexts, consumer behavior in creative and service industries (such as sport, wine, and publishing), and business ethics, particularly in digital environments and CSR communication. He is skilled in empirical and conceptual research methods, including survey-based modeling, structural equation modeling, discourse analysis, and stakeholder theory-based frameworks. Over his career, he has authored many peer-reviewed international publications in outlets such as Industrial Marketing Management, Business Ethics: A European Review, Journal of Interactive Marketing, Journal of Business & Industrial Marketing, Industry & Innovation, and Journal of Cleaner Production. Mr Visentin’s awards and honors include recognition from the Italian Marketing Society as “best reviewer” and “best article” recipient, demonstrating his strong peer standing and contribution to scholarly debate. He is active in the academic community, presenting his work at conferences like EMAC and SIM, mentoring students, and leading program-level teaching in omnichannel management and CRM. On Google Scholar, he has accumulated over 1,300 citations (over 1,365 according to his profile) and maintains an active research profile that bridges ethics, management, and marketing. His future-oriented vision includes investigating digital ethics, the role of social media influencers in branding, and sustainability-oriented relationship management. In conclusion, Mr Visentin stands out as a deeply thoughtful scholar whose unique blend of mathematical, managerial, and philosophical training enables him to address complex business challenges through both empirical rigor and ethical reflection, contributing significantly to theory and practice in marketing and management while shaping future generations of socially responsible business leaders.

Academic Profile: ORCID

Featured Publications:

Visentin, M., Bignucolo, F., De Pieri, D., Augello, C., & Faggioni, N. (2025). Technical and economic feasibility of cold ironing in Italy: A detailed case study.

 

Yao Li | Artificial Intelligence | Best Researcher Award

Published on by Sciencefather

Mr. Yao Li | Artificial Intelligence | Best Researcher Award

Mr. Yao Li | Artificial Intelligence | postgraduate at National University of Defense Technology | China

Mr. Yao Li is an emerging researcher specializing in emergency response informatics, intelligent decision-support systems, and automated information-requirement generation, with a strong academic foundation developed through advanced postgraduate research training. Mr. Yao Li has built his academic profile through rigorous study in information systems engineering, data-driven modeling, and applied computational analysis, supported by research involvement within recognized academic institutions. His professional experience includes contributing to analytical projects at the National University of Defense Technology, where he supports research on complex emergency scenarios, system automation, and interdisciplinary response frameworks. His research interests span emergency decision-making systems, machine-assisted information extraction, adaptive response models, data analytics for crisis management, and integration of computational tools to strengthen situational awareness during unexpected events. Mr. Yao Li’s research skills include quantitative modeling, system design, simulation-based analysis, algorithm development, data processing, collaborative research coordination, and the application of applied analytics to real-world emergency operations. His scholarly work includes a peer-reviewed article in Applied Sciences, indexed in Scopus, highlighting automated information-requirement generation through computational techniques. Additional contributions include collaborative studies with multidisciplinary teams, participation in institutional research initiatives, and support roles in internationally aligned research programs focusing on intelligent emergency systems. Throughout his academic journey, Mr. Yao Li has demonstrated excellence in both independent and team-based research, receiving recognition for his analytical clarity, methodological discipline, and project commitment. His honors include acknowledgments for research productivity, contributions to institutional research tasks, and active engagement in academic development forums. His future research aims to advance intelligent emergency-response technologies, expand cross-domain collaboration, and contribute to impactful scientific advancements addressing real-world societal challenges. Mr. Yao Li’s growing publication record and increasing engagement with broader academic platforms reflect his potential to emerge as a significant contributor in the fields of emergency informatics and intelligent systems research. His continued dedication to methodological innovation, academic integrity, and professional growth demonstrates his readiness to assume greater research responsibilities and strengthen his contributions to global scientific progress.

Academic Profile: ORCID

Featured Publications:

Li, Y., Guo, C., Lu, Z., Zhang, C., Gao, W., Liu, J., & Yang, J. (2025). Research on the automatic generation of information requirements for emergency response to unexpected events. Applied Sciences.

 

Canicio Dzingirai | Economics | Best Researcher Award

Published on by Sciencefather

Dr. Canicio Dzingirai | Economics | Best Researcher Award

Dr. Canicio Dzingirai | Economics | Senior Lecturer at University of Namibia | Namibia

Dr. Canicio Dzingirai is an accomplished scholar in Financial Economics, Development Finance, Banking and Financial Systems, and Industrial Economics, recognized for his influential contributions across regional and international academic platforms. With a strong academic foundation supported by advanced postgraduate training culminating in a doctoral degree in his field, Dr. Canicio Dzingirai has built a distinguished career marked by teaching, research, and policy-oriented engagements. His professional experience includes serving as a researcher, lecturer, and collaborator with institutions such as the University of Namibia, Texas Tech University, the University of the Free State, the University of South Africa, and IHE Delft Institute for Water Education, where he has contributed to curriculum development, graduate supervision, and cross-institutional research initiatives. His research interests span financial development, economic growth, institutional quality, public finance, banking performance, digital finance, interoperability frameworks, savings behavior, and macro-financial stability, reflecting a strong interdisciplinary approach that integrates econometric modelling, strategic financial analysis, and applied microeconometrics. Dr. Canicio Dzingirai is proficient in advanced statistical tools, quantitative modelling, survey design, data analytics, and impact assessment, enabling him to contribute meaningfully to empirical and theoretical discourse. His scholarly output includes influential publications in reputable journals indexed in Scopus and other major databases, achieving over 340 citations, an h-index of 9, and an i10-index of 9, demonstrating strong impact and research visibility. He has collaborated with globally recognized scholars, contributing to high-value research projects examining financial sustainability, bank performance, institutional dynamics, virtual learning systems, and economic development across Sub-Saharan Africa. His professional memberships include affiliations with academic and research associations that promote financial literacy, sustainable development, and evidence-based policy reforms. Throughout his career, Dr. Canicio Dzingirai has received various recognitions for academic excellence, research contribution, and community-engaged scholarship, reflecting his commitment to advancing knowledge and supporting socio-economic development. His work continues to influence public policy, banking regulation, and development frameworks in emerging economies. In conclusion, Dr. Canicio Dzingirai’s academic trajectory, research productivity, and collaborative achievements position him as a leading voice in his field, with strong potential for further contributions through international research grants, interdisciplinary partnerships, and continued engagement in high-impact scholarly work.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Dzingirai, C. (2014). Causal relationship between government tax revenue growth and economic growth: A case of Zimbabwe (1980–2012). Citations: 61

  2. Zhou, M., Dzingirai, C., Hove, K., Chitata, T., & Mugandani, R. (2022). Adoption, use and enhancement of virtual learning during COVID-19. Citations: 58

  3. Dzingirai, C., & Katuka, B. (2014). Determinants of bank failures in multiple-currency regime in Zimbabwe (2009–2012). Citations: 44

  4. Bandura, W. N., & Dzingirai, C. (2019). Financial development and economic growth in Sub-Saharan Africa: The role of institutions. Citations: 42

  5. Mashiri, E., Dzomira, S., & Canicio, D. (2021). Transfer pricing auditing and tax forestalling by multinational corporations: A game-theoretic approach. Citations: 36

 

Nicoleta Anton | Ophthalmology | Best Researcher Award

Published on by Sciencefather

Assoc. Prof. Dr. Nicoleta Anton | Ophthalmology | Best Researcher Award

Assoc. Prof. Dr. Nicoleta Anton | Ophthalmology | Universitatea de Medicina si Farmacie Gr. T.Popa Iasi | Romania

Assoc. Prof. Dr. Nicoleta Anton is a distinguished Romanian ophthalmologist and academician, currently serving as an Associate Professor of Ophthalmology at “Grigore T. Popa” University of Medicine and Pharmacy of Iași, Romania. She holds a Ph.D. in Ophthalmology from the same institution, where her doctoral research explored advanced diagnostic methods and therapeutic innovations for glaucoma and corneal disorders. Throughout her professional career, Assoc. Prof. Dr. Nicoleta Anton has demonstrated a deep commitment to integrating clinical ophthalmology with modern biomedical engineering and artificial intelligence. Her professional experience spans clinical practice, academic teaching, and international collaborative research projects, with a particular emphasis on the development of noninvasive biosensors, computer-aided diagnostic systems, and AI-driven ophthalmic tools that enhance early disease detection and management. Her research interests include glaucoma progression, diabetic retinopathy modeling, artificial intelligence in ocular imaging, and novel treatment protocols for keratoconus and cataract.Assoc. Prof. Dr. Nicoleta Anton’s research skills encompass data-driven ophthalmic analysis, predictive modeling, biomedical imaging, AI algorithm training, and cross-disciplinary collaboration between medicine and technology. She has published extensively in top-tier journals indexed in Scopus, IEEE, and Web of Science, contributing to the global advancement of ophthalmic science and precision medicine. With over 930 citations, an h-index of 16, and an i10-index of 21, her work reflects a substantial and sustained impact on the academic community. She has actively participated in European and international research consortia, driving innovation in sensor-based medical diagnostics and digital eye health. Her leadership roles include mentoring postgraduate students, guiding clinical research initiatives, and participating in institutional committees that foster interdisciplinary knowledge exchange.In recognition of her scientific excellence, Assoc. Prof. Dr. Nicoleta Anton has received multiple awards and honors from academic societies and research foundations for her pioneering contributions to ophthalmology and AI in medicine. Her continuing vision focuses on bridging clinical ophthalmology with computational sciences, promoting personalized medicine, and advancing noninvasive technologies for diabetic and glaucoma-related eye conditions. Through her scholarly dedication, technological insight, and patient-centered research approach, Assoc. Prof. Dr. Nicoleta Anton exemplifies the qualities of a modern medical scientist who integrates compassion, innovation, and academic rigor to shape the future of ophthalmic healthcare.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Kownacka, A. E., Vegelyte, D., Joosse, M., Anton, N., Toebes, B. J., Lauko, J., et al. (2018). Clinical evidence for use of a noninvasive biosensor for tear glucose as an alternative to painful finger-prick for diabetes management utilizing a biopolymer coating. Biomacromolecules, 19(11), 4504–4511. (Cited by 161)

  2. Branisteanu, D. E., Cojocaru, C., Diaconu, R., Porumb, E. A., Alexa, A. I., Anton, N., et al. (2022). Update on the etiopathogenesis of psoriasis. Experimental and Therapeutic Medicine, 23(3), 201. (Cited by 92)

  3. Pavel, I. A., Bogdanici, C. M., Donica, V. C., Anton, N., Savu, B., Chiriac, C. P., et al. (2023). Computer vision syndrome: an ophthalmic pathology of the modern era. Medicina, 59(2), 412. (Cited by 79)

  4. Danielescu, C., Anton, N., Stanca, H. T., & Munteanu, M. (2020). Endogenous endophthalmitis: a review of case series published between 2011 and 2020. Journal of Ophthalmology, 2020(1), 8869590. (Cited by 79)

  5. Anton, N., Doroftei, B., Curteanu, S., Catalin, L., Ilie, O. D., Târcoveanu, F., et al. (2022). Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions. Diagnostics, 13(1), 100. (Cited by 63)

 

 

Ali Haji Elyasi | Earth Sciences | Best Researcher Award

Published on by Sciencefather

Mr. Ali Haji Elyasi | Earth Sciences | Best Researcher Award

Mr. Ali Haji Elyasi | Earth Sciences | PhD at University of Tehran | Iran

Mr. Ali Haji Elyasi is a researcher in Civil and Water Resources Engineering with a strong academic foundation and applied research orientation in hydrological systems, groundwater sustainability, and hydraulics. He is pursuing his Ph.D. in Civil Engineering (Water and Hydraulic Structures) at the University of Tehran, where he has developed expertise in advanced hydro-environmental modeling, geospatial intelligence, machine learning applications, and remote sensing-driven environmental monitoring. His education combines rigorous theoretical training with hands-on field research, enabling him to address complex challenges related to groundwater quality, flood risk assessment, watershed hydrology, and wetland ecosystem dynamics. Professionally, Mr. Ali Haji Elyasi has contributed to several interdisciplinary research projects in collaboration with leading institutions and research groups, focusing on groundwater potential analysis, land-use change detection, aquifer vulnerability assessment, and integrated water resource management strategies. His research interests include sustainable hydrology, resilience-based water infrastructure planning, satellite-based environmental observation, climate impact assessments, and data-driven decision support systems in semi-arid and ecologically sensitive regions. He is skilled in GIS, Remote Sensing, machine learning modeling, hydrological simulation, spatial data analysis, and environmental data interpretation, and he consistently integrates computational methods to enhance predictive accuracy and resource planning outcomes. Mr. Ali Haji Elyasi has published multiple peer-reviewed articles indexed in Scopus and reputable engineering journals, and his scientific contributions have been recognized through increasing citations and scholarly collaborations across universities and research institutions. He has also engaged in academic community development through teamwork, joint authorships, mentoring, and research dissemination activities. Awards and recognitions relate to his contributions in water resource research, collaborative scientific output, and commitment to advancing environmental sustainability. Overall, Mr. Ali Haji Elyasi demonstrates a strong commitment to scientific integrity, research innovation, and practical solutions for sustainable water system management, positioning him as a promising researcher capable of contributing meaningfully to academic scholarship, environmental policy, infrastructure planning, and future scientific leadership.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Eftekhari, M., Mobin, E., Akbari, M., & Elyasi, A. H. (2021). Application assessment of GRACE and CHIRPS data in the Google Earth Engine to investigate their relation with groundwater resource changes (Northwestern region of Iran). Journal of Groundwater Science and Engineering, 9(2), 102–113. Cited 18 times

Eftekhari, M., Eslaminezhad, S. A., Akbari, M., DadrasAjirlou, Y., & Elyasi, A. H. (2021). Assessment of the potential of groundwater quality indicators by geostatistical methods in semi-arid regions. Journal of Chinese Soil and Water Conservation, 52(3), 158–167. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Mahmoodizadeh, S., Akbari, M., & Elyasi, A. H. (2021). Evaluation of tree-based artificial intelligence models to predict flood risk using GIS. Iran-Water Resources Research, 17(2), 174–189. Cited 7 times

Eftekhari, M., Eslaminezhad, S. A., Elyasi, A. H., & Akbari, M. (2021). Geostatistical evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain aquifer. Environment and Water Engineering, 7(2), 267–278. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Akbari, M., Elyasi, A. H., & Farhadian, H. (2022). Predicting flood-prone areas using advanced machine learning models (Birjand Plain). Water and Irrigation Management, 11(4), 885–904. Cited 3 times

 

Marcela Correa | Oral Cancer | Best Researcher Award

Published on by Sciencefather

Prof. Marcela Correa | Oral Cancer | Best Researcher Award

Prof. Marcela Correa | Oral Cancer | Professor at Universidad Mayor | Chile

Prof. Marcela Correa-Fernandez is a committed academic and researcher specializing in Oral Medicine, Oral Oncology, Oral Pathology, Dentistry, and Evidence-Based Medicine, currently affiliated with University Mayor in Temuco, Chile. Prof. Marcela Correa-Fernandez completed her dental and postgraduate training with a strong foundation in clinical diagnosis, oral disease prevention, and research methodology, shaping her expertise in the early detection and risk assessment of oral potentially malignant disorders. Throughout her academic and professional career, Prof. Marcela Correa-Fernandez has actively contributed to clinical education, oral pathology research, and community-based oral health programs, with clinical rotations and institutional responsibilities in dental teaching hospitals. Her research interests focus on the molecular and histopathological mechanisms underlying malignant transformation in oral tissues, the role of biomarkers such as podoplanin in disease progression, and the development of evidence-based strategies for early oral cancer screening. Prof. Marcela Correa-Fernandez demonstrates strong research skills in systematic review methodology, clinical data interpretation, meta-analysis, and interdisciplinary collaboration, supported by participation in research networks advancing oral oncology knowledge in Latin America. Her scholarly contributions include international peer-reviewed publications, highlighting the importance of biomarker expression patterns in clinical prognosis and diagnostic decision-making. In addition to research, she has been involved in mentoring dental students, contributing to academic curriculum activities, and supporting clinical training environments aligned with community oral health needs. Prof. Marcela Correa-Fernandez has received recognition for her participation in scholarly collaborations, oral health outreach initiatives, and academic service roles that contribute to knowledge dissemination and professional development within the dental field. Her academic profile reflects a balanced integration of clinical expertise, research-oriented inquiry, and commitment to public and professional oral health advancement. Moving forward, Prof. Marcela Correa-Fernandez is positioned to continue expanding her research scope through multi-center clinical collaborations, advanced biomarker-based diagnostic studies, and greater engagement in research dissemination activities at the international level, reinforcing her ongoing contribution to oral oncology and evidence-based dental practice.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Correa-Fernández, M., Ramos-García, P., Mjouel-Boutaleb, N., et al. (2025). Implications of podoplanin overexpression in the malignant transformation of oral potentially malignant disorders: A systematic review and meta-analysis. Cancers.

  2. Guerrero, A. B., Correa-Fernández, M., Pino, M. P. R., & Vargas, L. (1997). Informe internado asistencial Hospital Herminda Martín de Chillán. Universidad de Concepción.

 

 

Sonia Perez Diaz | Mathematics | Women Researcher Award

Published on by Sciencefather

Prof. Sonia Perez Diaz | Mathematics | Women Researcher Award

Prof. Sonia Perez Diaz | Mathematics | Professor at University of Alcala | Spain

Prof. Sonia Pérez-Díaz is a highly accomplished Full Professor in the field of Algebraic Geometry and Symbolic Computation, widely recognized for her contributions to the study, parametrization, and computational analysis of algebraic curves and surfaces. Prof. Sonia Pérez-Díaz completed her Ph.D. in Mathematics at the University of Alcalá, where she has developed a long-standing academic career and continues to serve as a leading faculty member and researcher. Her professional experience includes significant involvement in national and international research collaborations, interdisciplinary projects in computational mathematics, and academic leadership roles in curriculum development, graduate supervision, and methodological advancements in computer algebra systems. Prof. Sonia Pérez-Díaz’s research interests primarily focus on rational parametrization, implicitization algorithms, approximate parametrization techniques, characterization of algebraic surfaces, and computational strategies for singularity detection in geometric models. Her research skills include advanced symbolic computation, algebraic geometry modeling, computational design algorithms, mathematical software development, theoretical analysis, and collaborative project leadership. She has co-authored influential books published by Springer and contributed numerous high-impact journal articles indexed in Scopus, IEEE Xplore, and other international databases, indicating the strong visibility and relevance of her scholarly work. Prof. Sonia Pérez-Díaz has been recognized with research awards, invited talks at international conferences, and participation in scientific committees that advance computational and mathematical knowledge globally. She has also served in mentorship roles guiding postgraduate students, fostering academic exchange, and contributing to disciplinary growth within mathematics and applied computational sciences. Her work has gained worldwide recognition through extensive citations, international co-authorships, and inclusion in global research networks such as Google Scholar, Scopus, and ORCID. In conclusion, Prof. Sonia Pérez-Díaz continues to demonstrate distinguished academic excellence, impactful research dissemination, strong collaborative engagement, and a forward-looking approach to the advancement of symbolic computation and algebraic geometry, maintaining a respected presence as a leading scholar and contributor to mathematical research and education.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Sendra, J. R., Winkler, F., & Pérez-Díaz, S. (2008). Rational algebraic curves: A computer algebra approach. Springer Berlin Heidelberg. Citations: 371.

  2. Pérez-Díaz, S. (2006). On the problem of proper reparametrization for rational curves and surfaces. Computer Aided Geometric Design, 23(4), 307–323. Citations: 75.

  3. Pérez-Díaz, S., Sendra, J., & Sendra, J. R. (2004). Parametrization of approximate algebraic curves by lines. Theoretical Computer Science, 315(2–3), 627–650. Citations: 50.

  4. Pérez-Díaz, S., Schicho, J., & Sendra, J. R. (2002). Properness and inversion of rational parametrizations of surfaces. Applicable Algebra in Engineering, Communication and Computing, 13(1), 29–51. Citations: 49.

  5. Pérez-Díaz, S. (2007). Computation of the singularities of parametric plane curves. Journal of Symbolic Computation, 42(8), 835–857. Citations: 44.

 

Bryan Nagib Zambrano Manzur | Business Development | Best Researcher Award

Published on by Sciencefather

Prof . Bryan Nagib Zambrano Manzur | Business Development | Best Researcher Award

Prof . Bryan Nagib Zambrano Manzur | Business Development | Professor at Universidad de Granada | Ecuador

Prof. Bryan Nagib Zambrano Manzur is an emerging academic and research scholar affiliated with Universidad de Granada, recognized for his developing contributions in the areas of artificial intelligence, innovation systems, and data-driven organizational decision-making. He has pursued advanced academic training and research scholarship that bridge interdisciplinary domains of computational intelligence and management sciences, enabling him to examine how data, algorithms, and analytical models shape decision behaviors in uncertain and complex environments. His professional involvement includes participation in collaborative research clusters, academic knowledge-sharing environments, and multi-institutional academic panels, where he has contributed to discussions on sustainable innovation strategies and emergent AI methodological frameworks. His research interests include artificial intelligence applications in organizational contexts, machine learning-driven decision-making systems, digital transformation strategies, and knowledge modeling for innovation ecosystems. He demonstrates strong research skills in structured literature synthesis, qualitative and conceptual research methodologies, academic writing, knowledge interpretation, and interdisciplinary reviewing of scientific literature. His published work in a Scopus-indexed journal highlights his developing academic impact, supported by citations that indicate relevance within contemporary research conversations. He has also contributed to working papers, conference discussions, and collaborative academic exchanges. While his career stage is still progressing, he has shown academic excellence and engagement through project participation, contributions to institutional research networks, and involvement in scholarly dialogues that foster future research collaborations. His awards, academic recognition, and scholarly acknowledgment are reflected through his association with reputable academic research environments and growing citation visibility. The development of expanded empirical research contributions, broader methodological diversification, and increased participation in externally funded international collaborations will further elevate his academic influence. Prof. Bryan Nagib Zambrano Manzur is committed to advancing research that strengthens the integration of computational intelligence and organizational innovation, aiming toward scalable research contributions, high-impact journal publication strategies, and active leadership roles within academic networks. In conclusion, he represents a promising and forward-focused academic researcher whose dedication, scholarly discipline, and research clarity position him for continued contributions within global academic and research communities.

Academic Profile: Scopus

Featured Publications:

  1. Zambrano Manzur, B. N. (2024). In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives. Journal of Innovation and Entrepreneurship. (3 citations)