Shuang Zhang | Artificial Intelligence | Young Scientist Award

Published on by Computer Scientists Awards

Young Scientist Award

Shuang Zhang
Wuhan University, China
Shuang Zhang
Affiliation Wuhan University
Country China
Scopus ID
57216511036
Documents 1
Citations Citations by 11 documents
h-index 1
Subject Area Artificial Intelligence
Event Computer Scientists Award
ORCID
0000-0002-0218-9519

Shuang Zhang is a researcher affiliated with Wuhan University, China, whose academic activities are associated with artificial intelligence and intelligent computational systems. The researcher’s scholarly profile reflects participation in emerging research areas involving machine learning methodologies, intelligent data analysis, and computational modeling. This academic recognition article has been prepared in relation to the Young Scientist Award under the Computer Scientists Award initiative.[1]

Abstract

This article presents an academic recognition profile of Shuang Zhang, focusing on scholarly engagement within the field of artificial intelligence and intelligent computational systems. The profile examines academic visibility through publication activity, citation performance, and participation in emerging computational research areas. Emphasis is placed on artificial intelligence methodologies, machine learning integration, and interdisciplinary computational applications relevant to modern scientific innovation.[2][3]

Keywords

Artificial Intelligence; Machine Learning; Intelligent Systems; Computational Modeling; Deep Learning; Data Analysis; Neural Networks; Computer Science; Young Scientist Award; Scientific Research.

Introduction

Artificial intelligence has become one of the most influential areas within modern computational science, supporting advancements in automated reasoning, intelligent data processing, and adaptive analytical systems. Research in this field contributes to innovation across engineering, communication technologies, healthcare systems, and digital infrastructures.[3]

Shuang Zhang’s academic profile reflects participation in research activities associated with intelligent computing methodologies and machine learning applications. Such scholarly engagement contributes to the broader scientific development of computational intelligence and data-driven research systems.[1]

Research Profile

Shuang Zhang is affiliated with Wuhan University, an institution recognized for research activities in engineering, computer science, and interdisciplinary technological innovation. The researcher’s academic profile demonstrates engagement with artificial intelligence studies and computational methodologies relevant to intelligent information systems.[1]

The available Scopus profile indicates emerging scholarly visibility through indexed publication activity and citation engagement within the international scientific community. Citation metrics and publication indicators suggest continued academic participation within computational research domains.[1]

The researcher’s ORCID registration additionally supports standardized academic identification and enhances international discoverability across scholarly databases and scientific publication systems.[4]

Research Contributions

The research contributions associated with Shuang Zhang are connected with artificial intelligence methodologies, computational modeling systems, and machine learning applications. Such studies contribute to the advancement of intelligent algorithms and adaptive computational frameworks used in modern scientific and engineering environments.[2]

Artificial intelligence research frequently integrates neural networks, optimization techniques, and predictive analytical systems designed to improve decision-making efficiency and computational accuracy. These interdisciplinary approaches support technological development across numerous scientific and industrial applications.[5]

The researcher’s scholarly engagement contributes to broader academic discussions concerning intelligent systems, machine learning integration, and data-driven computational research methodologies.[3]

Publications

Shuang Zhang has contributed to scholarly publications associated with artificial intelligence and intelligent computational systems research. The publication profile reflects participation in scientific communication and computational science dissemination activities within indexed academic environments.[1]

  • Research studies related to artificial intelligence methodologies and intelligent computational frameworks.[2]
  • Academic works involving machine learning systems and computational data analysis approaches.[5]
  • Scientific contributions supporting interdisciplinary research communication within computer science and intelligent systems domains.[3]

The researcher’s publication activity reflects continued involvement in computational research dissemination and scholarly participation within international academic indexing systems.[1]

Research Impact

Research impact within artificial intelligence is commonly evaluated through publication visibility, citation performance, and interdisciplinary applicability. The available citation metrics associated with Shuang Zhang suggest emerging scholarly recognition within computational science and intelligent systems research communities.[1]

Artificial intelligence technologies contribute substantially to modern digital transformation initiatives, including intelligent automation, predictive analytics, and adaptive computational infrastructures. Research in this field supports innovation across communication systems, healthcare technologies, engineering applications, and data science environments.[5]

The researcher’s academic visibility is strengthened through indexed publication systems, citation tracking platforms, and ORCID-supported scholarly identification mechanisms.[4]

Award Suitability

The academic profile of Shuang Zhang reflects characteristics associated with emerging research excellence and early-career scientific engagement. Indexed publication activity, interdisciplinary research participation, and measurable citation visibility support consideration within academic recognition frameworks oriented toward young researchers and innovative computational studies.[1]

The researcher’s work in artificial intelligence and intelligent systems aligns with the objectives commonly emphasized by international scientific recognition platforms that support innovation, computational research quality, and technological advancement.[6]

The combination of institutional affiliation, indexed scholarly activity, and engagement with artificial intelligence methodologies collectively supports recognition through the Young Scientist Award initiative.[6]

Conclusion

Shuang Zhang represents an emerging academic profile within the field of artificial intelligence and intelligent computational systems. Scholarly engagement in machine learning methodologies, indexed publication activity, and participation in computational science research demonstrate continued involvement in modern technological and scientific innovation environments.[1]

This recognition article highlights the researcher’s academic visibility and emphasizes the continuing relevance of artificial intelligence research within interdisciplinary scientific and technological development frameworks.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Shuang Zhang, Author ID 57216511036. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216511036
  2. ORCID. (n.d.). ORCID researcher identifier registry.
    https://orcid.org/0000-0002-0218-9519
  3. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
    https://doi.org/10.1038/nature14539

Xiaobao Yang | Computer Vision | Research Excellence Award

Published on by Computer Scientists Awards

Research Excellence Award

Xiaobao Yang
Xi’an University of Posts & Telecommunications, China
Xiaobao Yang
Affiliation Xi’an University of Posts & Telecommunications
Country China
Google Scholar ID
ubUno0kAAAAJ
h-index 7
Citations 289
10h-index 6
Subject Area Computer Vision
Event Computer Scientists Award
ORCID
0000-0003-1515-8663

Xiaobao Yang is a researcher affiliated with Xi’an University of Posts & Telecommunications, China, whose scholarly activities are associated with the field of computer vision and intelligent image analysis. His academic profile reflects contributions to visual computing methodologies, machine learning applications, and image processing research within contemporary computational science environments. This academic recognition article has been prepared in relation to the Research Excellence Award under the Computer Scientists Award initiative.[1]

Abstract

This academic article presents a structured recognition profile of Xiaobao Yang, emphasizing scholarly contributions to computer vision research and intelligent computational methodologies. The profile evaluates academic visibility through citation performance, publication activity, and interdisciplinary engagement in visual computing systems. Particular attention is given to computer vision applications, machine learning integration, and image interpretation technologies relevant to contemporary computational science research.[2][3]

Keywords

Computer Vision; Image Processing; Machine Learning; Visual Computing; Artificial Intelligence; Deep Learning; Pattern Recognition; Computational Imaging; Academic Recognition; Research Excellence Award.

Introduction

Computer vision has become a foundational discipline within artificial intelligence and computational science, enabling automated interpretation of visual information through machine learning and pattern recognition techniques. Researchers in this field contribute to applications involving intelligent systems, visual analytics, autonomous technologies, and digital image understanding.[3]

Xiaobao Yang’s academic profile reflects engagement with research themes associated with visual computing, image analysis methodologies, and intelligent information processing. His scholarly activities contribute to the broader advancement of computer vision research and interdisciplinary computational technologies.[1]

Research Profile

Xiaobao Yang is affiliated with Xi’an University of Posts & Telecommunications, an academic institution engaged in engineering, communication technologies, and computational sciences research. His academic profile demonstrates participation in computer vision studies and intelligent image processing investigations within contemporary scientific environments.[1]

Citation indicators associated with the researcher suggest measurable scholarly visibility within computer science and visual computing domains. The recorded h-index and citation count reflect continuing academic engagement and research dissemination across indexed scientific publications.[1]

The researcher’s ORCID registration additionally supports international academic discoverability and standardized scholarly identification across research databases and publication systems.[4]

Research Contributions

The research contributions associated with Xiaobao Yang are connected with computational image analysis, visual information processing, and machine learning integration within computer vision systems. Such contributions are relevant to the development of intelligent recognition frameworks and automated visual interpretation technologies.[2]

Research in computer vision frequently involves deep learning methodologies, feature extraction systems, and pattern recognition techniques designed to improve the performance and reliability of intelligent computational models. These studies support technological innovation in image classification, object detection, and data-driven visual analytics.[5]

His scholarly activities contribute to the broader scientific dialogue surrounding intelligent computing systems and interdisciplinary artificial intelligence research applications.[3]

Publications

Xiaobao Yang has contributed to scientific publications associated with computer vision and computational imaging research. His publication activity reflects participation in scholarly communication within artificial intelligence and intelligent systems research domains.[1]

  • Research publications related to computer vision algorithms and intelligent image analysis systems.[2]
  • Studies concerning machine learning integration in visual computing and pattern recognition applications.[5]
  • Academic works contributing to image processing methodologies and artificial intelligence research communication.[3]

The publication profile demonstrates continued engagement with scientific dissemination and interdisciplinary collaboration within modern computational research environments.[1]

Research Impact

Research impact within computer vision is frequently evaluated through publication accessibility, citation performance, and interdisciplinary applicability. Xiaobao Yang’s scholarly indicators suggest continued engagement within visual computing research networks and computational science communities.[1]

Computer vision methodologies contribute substantially to advancements in intelligent automation, digital imaging systems, autonomous technologies, and data interpretation frameworks. Research activities in this domain support innovation across engineering, healthcare, communication systems, and artificial intelligence applications.[5]

The researcher’s academic visibility is additionally strengthened through indexed citation systems, ORCID registration, and scholarly dissemination within internationally accessible research platforms.[4]

Award Suitability

The academic profile of Xiaobao Yang reflects several characteristics associated with research excellence recognition frameworks, including scholarly publication activity, measurable citation performance, and engagement with interdisciplinary computer vision research initiatives.[1]

His work in visual computing and intelligent image analysis aligns with the objectives commonly emphasized by international scientific award platforms that recognize innovation, computational research quality, and technological advancement.[6]

The researcher’s institutional affiliation, publication activity, and integration within global scholarly indexing systems collectively support consideration for recognition through the Research Excellence Award initiative.[6]

Conclusion

Xiaobao Yang represents an active academic presence within the field of computer vision and intelligent computational systems. His scholarly contributions, citation profile, and publication activities demonstrate sustained engagement with visual computing research and interdisciplinary artificial intelligence methodologies.[1]

This recognition article highlights the researcher’s academic profile within modern computational science environments and emphasizes the continuing significance of computer vision technologies in contemporary research and technological innovation frameworks.[3]

References

  1. Google Scholar. (n.d.). Scholar profile: Xiaobao Yang.
    https://scholar.google.com/citations?hl=fr&user=ubUno0kAAAAJ
  2. Szeliski, R. (2022). Computer Vision: Algorithms and Applications. Springer.
    https://doi.org/10.1007/978-3-030-34372-9
  3. He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep Residual Learning for Image Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.https://doi.org/10.1109/CVPR.2016.90

Ailazzat Aitkenova | Medicine Development | Best Research Article Award

Published on by Computer Scientists Awards

Best Research Article Award

Ailazzat Aitkenova
Karaganda Medical University, Kazakhstan
Ailazzat Aitkenova
Affiliation Karaganda Medical University
Country Kazakhstan
Scopus ID
58637239800
Documents 2
Citations Citations by 7 documents
h-index 1
Subject Area Medicine Development
Event Computer Scientists Awards
ORCID
0000-0002-0851-866X

Ailazzat Aitkenova is an academic researcher affiliated with Karaganda Medical University, Kazakhstan, whose scholarly profile reflects emerging contributions to medicine development and interdisciplinary healthcare research. Her academic work includes scientific publications indexed in international databases and participation in scholarly initiatives associated with medical innovation and evidence-based research methodologies. This academic recognition article has been prepared in relation to the Best Research Article Award presented through the Computer Scientists Awards platform.[1]

Abstract

This article presents a scholarly recognition profile of Ailazzat Aitkenova, highlighting her academic contributions, research visibility, and involvement in medicine development studies. The profile evaluates her publication activity, indexed academic presence, and emerging research impact within the context of international scientific recognition frameworks. Emphasis is placed on her participation in evidence-based healthcare research and academic dissemination through indexed scientific publications.[2][3]

Keywords

Medicine Development; Healthcare Research; Academic Recognition; Medical Innovation; Scientific Publications; Evidence-Based Medicine; Research Impact; Scholarly Communication; Clinical Studies; Best Research Article Award.

Introduction

Contemporary academic recognition systems frequently assess researchers based on publication quality, citation indicators, interdisciplinary contributions, and institutional affiliations. Ailazzat Aitkenova’s scholarly profile reflects participation in scientific research activities associated with healthcare and medicine development disciplines.[1]

Research in medicine development contributes significantly to the advancement of healthcare systems, clinical methodologies, and evidence-based treatment frameworks. Academic contributions in this field support scientific communication, institutional collaboration, and innovation within modern medical research environments.[4]

Research Profile

Aitkenova is affiliated with Karaganda Medical University, a recognized institution contributing to healthcare education and medical sciences research in Kazakhstan. Her academic profile includes indexed publications and scholarly engagement in medicine-related research activities.[1]

The available Scopus metrics associated with the researcher indicate citation activity and emerging visibility within the scientific community. Citation data, although modest in scale, reflects the continuing relevance and accessibility of her scholarly contributions within specialized academic contexts.[1]

Her ORCID registration supports transparent scholarly identification and facilitates integration across international academic databases and research information systems.[5]

Research Contributions

The research contributions associated with Dr. Aitkenova are connected to medicine development and healthcare-oriented scientific inquiry. Her scholarly work contributes to the broader understanding of evidence-based approaches and research dissemination within clinical and academic environments.[3]

Academic studies in medicine development frequently involve interdisciplinary methodologies, clinical evaluation processes, and scientific communication standards designed to improve healthcare outcomes and institutional research quality. Such contributions are significant for strengthening research collaboration and knowledge transfer across medical disciplines.[4]

Her indexed publication record demonstrates engagement with international scholarly publishing systems and contributes to the accessibility of research findings within broader scientific networks.[1]

Publications

Ailazzat Aitkenova has contributed to peer-reviewed scientific publications indexed within international research databases. Her publication profile reflects participation in medicine-related scholarly communication and academic dissemination activities.[1]

  • Research publications addressing medicine development methodologies and healthcare research practices.[2]
  • Scientific contributions related to evidence-based clinical and academic research frameworks.[4]
  • Indexed academic works supporting scholarly visibility and interdisciplinary research communication.[3]

Her publication record contributes to the academic representation of medicine development research and reflects participation in internationally recognized indexing systems and scholarly databases.[1]

Research Impact

Research impact within emerging scholarly profiles is commonly evaluated through publication accessibility, citation engagement, and academic dissemination activities. Dr. Aitkenova’s indexed publications and citation metrics indicate ongoing participation within scientific research networks and healthcare-related academic discussions.[1]

The integration of medicine development research with evidence-based methodologies supports improvements in healthcare education, scientific communication, and clinical innovation. Such contributions are relevant within contemporary medical research environments focused on interdisciplinary collaboration and applied healthcare outcomes.[4]

The researcher’s academic visibility is additionally strengthened through standardized researcher identification systems such as ORCID and indexed citation databases that support international scholarly discoverability.[5]

Award Suitability

The academic profile of Dr. Ailazzat Aitkenova demonstrates characteristics commonly evaluated within research recognition frameworks, including indexed publication activity, scientific engagement, and participation in medicine development research initiatives.[1]

Her involvement in scholarly publishing and healthcare-oriented scientific inquiry aligns with the objectives of international academic award programs that emphasize research quality, interdisciplinary collaboration, and evidence-based scientific contribution.[6]

The researcher’s institutional affiliation, publication record, and integration within recognized academic indexing systems collectively support consideration for professional recognition through the Best Research Article Award platform.[6]

Conclusion

Ailazzat Aitkenova represents an emerging academic profile within medicine development and healthcare research. Her scholarly contributions, indexed publication activity, and participation in scientific dissemination demonstrate continued engagement with contemporary medical research frameworks and academic communication systems.[1]

This recognition article highlights the researcher’s academic presence and emphasizes the relevance of evidence-based medicine research within evolving global healthcare environments. Her professional activities align with broader standards associated with scholarly recognition and research excellence initiatives.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Dr. Ailazzat Aitkenova, Author ID 58637239800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58637239800
  2. World Health Organization. (2021). Global perspectives on healthcare research and medicine development.
    https://doi.org/10.1016/S0140-6736(21)02648-4
  3. Ioannidis, J. P. A. (2016). The importance of reproducibility in medical and scientific research. PLoS Medicine.
    https://doi.org/10.1371/journal.pmed.1002264
  4. Sackett, D. L., Rosenberg, W. M. C., Gray, J. A. M., Haynes, R. B., & Richardson, W. S. (1996). Evidence based medicine: what it is and what it isn’t. BMJ.
    https://doi.org/10.1136/bmj.312.7023.71
  5. ORCID. (n.d.). ORCID researcher identifier registry.
    https://orcid.org/0000-0002-0851-866X
  6. Computer Scientists Awards. (n.d.). International academic award and conference platform.
    https://computerscientists.net/

Feng Deng | Architecture | Innovative Research Award

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Assoc. Prof. Dr. Feng Deng | Architecture | Innovative Research Award

Associate Professor | Tongji University | China

Assoc. Prof. Dr. Feng Deng is an Associate Professor at Tongji University and a National First-Class Registered Architect specializing in sustainable architecture and low-carbon urban-rural development. Her research integrates green buildings, nearly zero-energy housing, rural revitalization, and adaptive spatial renewal through GIS-based analysis and quantitative morphology. She has published more than 40 indexed academic papers and authored several influential books on ecological architecture and shared design. According to available Scopus data, her publications have received over 60 citations with an h-index of 2, reflecting growing international recognition in sustainable architectural research.

Publication Profile

Scopus

ORCID

Education Background

Assoc. Prof. Dr. Feng Deng earned her PhD in Architectural Design and Theory through a joint doctoral training program between Tongji University and Technical University of Munich. Her academic training combined architectural theory, ecological design, sustainable construction, and urban planning methodologies. She also qualified as a National First-Class Registered Architect in China, strengthening her integration of academic research with professional architectural practice. Her educational background established a strong interdisciplinary foundation in energy-efficient architecture, spatial planning, and sustainable urban-rural development.

Professional Experience

Assoc. Prof. Dr. Feng Deng has served as Associate Professor, Graduate Teaching Coordinator, supervisor, and corresponding author at Tongji University since 2018. She teaches architectural design and supervises interdisciplinary research connecting energy-efficient buildings, spatial resilience, and rural landscape renewal. She has led multiple National Natural Science Foundation of China projects related to nearly zero-energy residential buildings and sustainable renovation strategies. Her professional experience also includes architectural consultancy, sustainable construction research, and collaborative projects integrating GIS analysis, landscape gene theory, and rural heritage preservation.

Awards and Honors

Assoc. Prof. Dr. Feng Deng is recognized as a National First-Class Registered Architect and serves as an Expert Committee Member of the China Association of Building Energy Efficiency. She has successfully led several nationally funded research projects supported by the National Natural Science Foundation of China, highlighting her contributions to green buildings and carbon-neutral architectural development. Her scholarly achievements include publications in high-impact journals such as Energy, Journal of Cleaner Production, and Energy and Buildings, demonstrating strong academic influence in sustainable architecture and low-carbon urban research.

Research Focus

Assoc. Prof. Dr. Feng Deng focuses on interdisciplinary research in green buildings, nearly zero-energy residential systems, passive houses, low-carbon cities, and sustainable construction. Her recent work emphasizes rural revitalization, spatial resilience, modern timber structures, and preservation-renewal strategies for “Shanghai-style Jiangnan” villages. She applies GIS spatial analysis, adaptive zoning, quantitative morphology, and landscape gene theory to address conflicts between heritage conservation and functional renewal. Her research contributes innovative frameworks for energy-efficient design and resilient urban-rural environments supporting sustainable regional development.

Publication Top Noted 

Quantitative Morphological Resolution of Preservation–Renewal Conflicts for “Shanghai-Style Jiangnan” Villages, China
Year: 2026
Citations: 1
Authors: Zhenyu Li; Mengying Tang; Qi Liu; Yichen Zhu; Feng Deng

A LSTM-model Based Approach for Long-term Forecasting of High-rise Residential Building Integrated Photovoltaic System
Year: 2025
Citations: 4
Authors: Feng Deng; Tianhang Wang; Wanting Tao; Jo Darkwa; Yilin Li

Research on Parametric Design Method of Solar Photovoltaic Utilization Potential of Nearly Zero-Energy High-Rise Residential Building Based on Genetic Algorithm
Year: 2022
Citations: 62
Authors: Huilai Wu; Feng Deng; Hongwei Tan

Evaluation on the Thermal and Optical Performance of a Double Skin Facade with a Semi-Transparent Phase Change Material Blind System
Year: 2025
Citations: 3
Authors: Yilin Li; Feng Deng; et al.

Michele Sisto | Statistical Integration | Breakthrough Research Award

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Dr. Michele Sisto | Statistical Integration | Breakthrough Research Award

Doctor | University of Rome Tor Vergata | Italy

Michele Sisto is an Italian geologist, geomorphologist, researcher, and academic affiliated with the University of Sannio in Benevento, Italy. He has extensive expertise in geomorphology, physical geography, geoenvironmental analysis, and territorial studies. As co-founder of GEO–Studio Associato di Geologia, he has authored more than 4,000 geological reports for public and private institutions. His scholarly contributions focus on landscape evolution, geoheritage, environmental sustainability, and tourism in inland territories. According to Scopus, he has 69 citations from 56 documents, 13 indexed publications, and an h-index of 4, while his Google Scholar profile reflects growing academic visibility in Earth and environmental sciences.

Publication Profile

Scopus

ORCID

Education Background

Michele Sisto earned his Laurea in Geological Sciences from the University of Naples Federico II with a final score of 107/110. He qualified as a professional geologist shortly afterward and became registered with the Order of Geologists of Campania. He later completed a Ph.D. in Physical Geography and Geomorphology at the University of Sannio, focusing on geoenvironmental characterization of the Irpinian–Sannio Apennines. He also obtained a Second-Level Master’s degree in Geography and Territorial Development from the University of Rome Tor Vergata, alongside certifications in advanced English proficiency and information technology.

Professional Experience

Michele Sisto has worked as a professional geologist for several decades as co-owner of GEO–Studio Associato di Geologia in Lioni, Italy. His professional activities include geological consulting, geomorphological surveys, environmental assessments, hydrogeological studies, and technical expertise for civil and criminal courts. He has collaborated with universities as a lecturer and subject expert in geomorphology and physical geography, serving on academic examination committees in the GEO/04 disciplinary sector. His research and consultancy activities integrate geological sciences, cartography, territorial planning, cultural landscapes, and sustainable tourism development.

Awards and Honors

Throughout his academic and professional career, Michele Sisto has received recognition for his contributions to geological sciences, territorial studies, and environmental research. He earned advanced academic qualifications including a Ph.D. in Physical Geography and Geomorphology and a Second-Level Master’s degree in territorial geography. His appointment as Cultore della Materia at the University of Sannio reflects institutional recognition of his scholarly expertise in geomorphology and environmental geology. His publications in international journals indexed by Scopus and Web of Science further demonstrate his scientific impact in geoheritage, cartography, and sustainable territorial development.

Research Focus

Michele Sisto’s research focuses on geomorphology, physical geography, geoheritage, cartography, environmental analysis, and sustainable territorial development. His studies examine the evolution of landscapes in Southern Italy, particularly the Irpinian and Campanian regions, integrating geological interpretation with cultural and historical dimensions. He has explored climate trends, coastal landforms, geomythology, inland tourism, and geoenvironmental risks. His interdisciplinary approach combines Earth sciences with territorial identity, rural sustainability, and heritage valorization, contributing to innovative perspectives on environmental management and regional development in Mediterranean landscapes.

Publication Top Noted 

Career in Geology: An Educational Project in Geosciences for the Enhancement of Student Learning in STEM Disciplines
Year: 2023
Citations: 4
Authors: Michele Sisto

The Valorisation of an Ancient Traditional Practice for the Promotion of Rural and Sustainable Tourism: The ‘Tracing of the Straight Furrow’ in Central and Southern Italy
Year: 2023
Citations: 6
Authors: Michele Sisto

Coastal Landforms in the Southern Latium (Italy) Able to Inspire Myths and Legends
Year: 2026
Citations: 1
Authors: Michele Sisto

Temperature Trends in the Campania Region (Southern Italy) Deduced from Some Bioclimatic Indices
Year: 2026
Citations: 1
Authors: Michele Sisto

Science in the Service of Politics. The Cartographic Representation of a Local Territorial Context of the Kingdom of Naples in the Early Nineteenth Century
Year: 2024
Citations: 1
Authors: Michele Sisto

Pujie Lin | Strategic Management | Excellence in Research Award

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Dr. Pujie Lin | Strategic Management | Excellence in Research Award

Professor | Shanghai University of Finance and Economics | China

Pujie Lin is a professor at the International College, Guangzhou College of Commerce, Guangzhou, China. He earned his PhD from Shanghai University of Finance and Economics and has interdisciplinary expertise in international business and corporate finance. His academic development has been strengthened by professional experience in management consulting, commercial banking, corporate treasury, and accounting within multinational corporations. His scholarly work mainly investigates internationalization, capital structure, and financing behavior of firms in cross-border contexts. His publications contribute to expanding pecking order theory and institutional-distance perspectives in international finance research.

Publication Profile

ORCID

Education Background

Pujie Lin completed a PhD in Finance and Economics at Shanghai University of Finance and Economics. Prior to his doctoral studies, he obtained a Master of Business Administration from University of Manchester and completed a Bachelor of Science degree at Nanjing University. His educational background combines strong foundations in finance, business management, and international economics, which supports his interdisciplinary research approach in corporate finance and international business studies.

Professional Experience

Pujie Lin currently serves as a professor at the International College, Guangzhou College of Commerce. Alongside academia, he has accumulated extensive industry experience in management consulting, commercial banking, corporate treasury, and multinational accounting operations. These professional roles have significantly influenced his empirical research philosophy and analytical perspective. His combination of academic scholarship and practical industry exposure enables him to conduct research that bridges theoretical frameworks with real-world financial and international business applications across regional and institutional contexts.

Awards and Honors

Pujie Lin holds several distinguished professional memberships and recognitions, including Fellow IPA, Fellow CMA, and CISA certification. These honors demonstrate his professional competence in finance, accounting, auditing, and international business practices. His nomination under the “Excellence in Research” category reflects his growing contribution to corporate finance and internationalization studies. His academic work has gained visibility through indexed journal publications and scholarly dissemination, contributing to emerging discussions on financing structures and institutional influences in international business environments.

Research Focus

The primary research interests of Pujie Lin are internationalization and corporate finance. His studies explore the relationship between firm internationalization, financing behavior, and capital-structure decisions. He particularly focuses on extending pecking order theory into cross-regional and bidirectional contexts while examining the influence of institutional distance, legal systems, and financial structures on corporate financing costs. His research integrates theories from international business and finance to explain how multinational enterprises adapt their financing strategies under diverse institutional and economic conditions.

Publications

Pecking Order Theory in International Contexts: Insights from Hong Kong Listed Chinese Enterprises
Year: 2026
Citation: 1

Norazmawati Md Sani | System Building | Research Excellence Award

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Dr. Norazmawati Md Sani | System Building | Research Excellence Award

Senior Lecturer | University of Science Malaysia | Malaysia

Dr. Norazmawati Md. Sani  Abd. Rahim is a Senior Lecturer at the School of Housing, Building and Planning, University of Science Malaysia, specializing in housing affordability, land governance, and economic development. With more than eighteen years of academic and research experience, she has contributed significantly to sustainable housing studies and urban planning research in Malaysia. Her scholarly impact is reflected through over 1,043 Google Scholar citations and 404 Scopus citations, supported by an h-index of 18 in Google Scholar and 10 in Scopus.

Publication Profile

Education Background

Dr. Norazmawati earned from the University of Science Malaysia after completing a Bachelor of Science in Land Administration and Development with First Class Honours from and the University of Technology Malaysia.. She also obtained a Diploma in Valuation from the same institution. Her academic foundation integrates housing studies, valuation, land administration, and development planning, enabling her to approach housing economics and policy research with both technical expertise and practical understanding in urban and regional development.

Professional Experience

Dr. Norazmawati serves as Senior Lecturer at the School of Housing, Building and Planning, University of Science Malaysia, where she has also coordinated the Housing Program. Her professional exposure includes appointments as Visiting Scholar at Sheffield Hallam University and Construction Personnel Malaysia, as well as Visiting Professor at the Korea Invention Academy in Seoul. She has participated extensively in consultancy and expert panel engagements related to housing construction, property management, healthcare engineering competency frameworks, and urban development policies at national and institutional levels.

Awards and Honors

Dr. Norazmawati has received multiple international and institutional recognitions for her contributions to education, innovation, and housing research. Her notable achievements include the World Inventor Order of Merit, World Inventor Grand Award, and World Creative Innovation and Science Grand Award presented in Seoul, Korea. She also earned Bronze Awards for educational innovation projects at Academia Fiesta USM and received the Excellence Service Award from University of Science Malaysia. Her professional distinctions include Chartered Building Engineer accreditation and Professional Technologist recognition in Malaysia.

Research Focus

Her research primarily focuses on housing affordability, land administration, economic development, and sustainable urban planning. She has conducted studies examining socio-economic influences on housing accessibility, spatial development patterns, educational assessment tools, and environmental impacts associated with urban growth. Dr. Norazmawati also investigates innovative housing models, construction industry practices, and policy frameworks that support sustainable community development. Her interdisciplinary research approach integrates planning, economics, governance, and technology to address contemporary housing and development challenges in Malaysia and internationally.

Top 5 Publications

Industrialised Building System in Malaysia: A Review
Year: 2014
Citations: 131

Imperative Causes of Delays in Construction Projects from Developers’ Outlook
Year: 2014
Citations: 84

The Effects of Students’ Socio-Physical Backgrounds onto Satisfaction with Student Housing Facilities
Year: 2012
Citations: 61

Performance of Polymer Modified Mortar with Different Dosage of Polymeric Modifier
Year: 2014
Citations: 56

Price to Income Ratio Approach in Housing Affordability
Year: 2015
Citations: 42

Conclusion

Dr. Norazmawati Md. Sani Abd. Rahim is a respected academic and researcher whose expertise in housing affordability, land administration, and sustainable development has contributed substantially to Malaysian urban and housing studies. Through extensive teaching, research leadership, consultancy involvement, and international recognition, she continues to influence policy discussions and academic advancement in housing and planning disciplines. Her strong research profile, professional accreditations, and impactful publications demonstrate a sustained commitment to innovation, education, and sustainable community development.