Sha Yin | Lightweight Composites and Structures | Best Researcher Award

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Ms. Sha Yin | Lightweight Composites and Structures | Best Researcher Award

Ms. Sha Yin | Lightweight Composites and Structures – Beihang University | China

Professor Sha Yin is an accomplished materials scientist and mechanical engineer at Beihang University, China. Specializing in multifunctional composites, lightweight structures, and bioinspired materials, she has made significant contributions to the fields of impact engineering and battery safety. With over 80 peer-reviewed publications and multiple editorial roles, she has earned national and international recognition. Her research bridges advanced material design, additive manufacturing, and energy systems. Her collaborative work spans top institutions globally, including USC, University of Sydney, and The Hong Kong Polytechnic University. Prof. Yin is also an active reviewer and committee member in leading scientific societies.

Professional Profile

ORCID

GOOGLE SCHOLAR

Education 

Professor Sha Yin earned her Ph.D. in Engineering Mechanics from Harbin Institute of Technology, focusing on ultralightweight composite lattice materials under the guidance of Prof. Linzhi Wu. Her doctoral research emphasized the design and mechanics of hierarchical composite structures. She completed her B.S. in the same field from the same institution. Her academic journey has laid a solid foundation in advanced mechanics, composite structures, and materials engineering. During her doctoral and postdoctoral phases, she trained and collaborated internationally, including time at the University of Southern California and the Center for Advanced Structural and Biological Materials at Beihang University.

Professional Experience 

Prof. Sha Yin currently serves as a Professor in the Department of Automotive Engineering, Beihang University. She held positions as Assistant and Associate Professor at Beihang from 2015 to 2023. Earlier, she completed her postdoctoral fellowship at the Center for Advanced Structural and Biological Materials under Prof. Robert Ritchie. She has been a visiting scholar at The University of Sydney, University of Southern California, and The Hong Kong Polytechnic University. Her academic journey is characterized by global collaboration, pioneering research, and leadership in advanced composite structures, contributing to sustainable and high-performance engineering solutions.

Awards and Recognition 

Prof. Yin has received numerous honors, including the prestigious National Natural Science Fund for Excellent Young Scholars of China (2023) and Young Elite Scientists Award from the Chinese Academy for Science and Technology. She was also a JMS Cahn Prize Nominee (2013) and recipient of the 1st National Award for PhD Candidates at Harbin Institute of Technology. Recognized under the Young Top Talent Program at Beihang University, she consistently ranks among the top scholars in her field. Her accolades highlight her influence in composite materials research and commitment to academic excellence.

Research Interests 

Prof. Sha Yin’s research spans multifunctional composites, bio-inspired architectured materials, mechanical metamaterials, lightweight and adaptive structures, and battery safety. She integrates computational modeling, additive manufacturing, and experimental mechanics to design materials that offer superior strength, toughness, and energy absorption. Her expertise extends to multiscale topology optimization and the physics of energy storage systems. With strong international collaborations and editorial roles, she also contributes to knowledge dissemination in smart and nano-materials. Her work is at the intersection of structural mechanics, materials science, and sustainable engineering innovation.

Publications

Yang, R., Wang, H., Wang, B., Zhang, S., Huang, Z., & Yin, S. (2023). “Sinusoidally architected helicoidal composites inspired by the dactyl club of mantis shrimp” in International Journal of Smart and Nano Materials.
Yin, S., Xiong, Y., & Tian, X. (2023). “Preface for special issue ‘Composites Communications’: Additive Manufacturing of Advanced Composites” in Composites Communications.
You, J., Wang, C., Ma, L., & Yin, S. (2023). “Safe energy-storage mechanical metamaterials via architecture design” in EPJ Applied Metamaterials.
Hu, J., & Yin, S., Jia, J. (2022). “Dynamic behavior of water-filled spherical shell compressed onto a solid wall” in International Journal of Impact Engineering.
Chen, D., Yang, R., Guo, W., Huang, Y., Yu, T.X., & Yin, S. (2022). “Defense mechanism of bioinspired composites with sinusoidally periodic helicoidal fiber architectures” in Journal of Aerospace Engineering.
Guo, W., Huang, Y., Ritchie, R.O., & Yin, S. (2021). “Dissipative Dual-Phase Mechanical Metamaterial Composites via Architectural Design” in Extreme Mechanics Letters.

Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

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Dr. Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

Dr. Haoyue Fan | Healthcare Data Analysis – Beijing Institute of Technology | China

Dr. Haoyue Fan is a dedicated researcher and Ph.D. candidate at the School of Management and Economics, Beijing Institute of Technology (BIT). With a multidisciplinary background in information management, engineering, and management science, Dr. Fan explores the intersection of online platforms, IT artifacts, health management, and operations. Her work uniquely blends data-driven technologies and social science, exemplified by her deep learning research on mental health and user behavior. Dr. Fan has published in top-tier journals such as Information & Management, Expert Systems with Applications, and Annals of Operations Research. Her intellectual rigor extends beyond academia, with involvement in national and international research projects supported by the National Natural Science Foundation of China. Passionate about innovation and social impact, she has also contributed to patented technologies in healthcare and AI applications. Dr. Fan is recognized for her leadership and excellence as a top graduate, earning national scholarships and research accolades.

Professional Profile

SCOPUS

Education 

Dr. Haoyue Fan’s academic journey reflects her interdisciplinary approach and academic excellence. She is currently pursuing her Ph.D. in Management Engineering at the Beijing Institute of Technology (2021–Present), where her research focuses on online health platforms and intelligent systems. She completed her MSc in Management Science and Engineering at Beijing University of Chemical Technology (2018–2021). Her thesis and projects during this period addressed challenges in digital healthcare and operational intelligence. Prior to that, Dr. Fan earned a BSc in Information Management from Beijing Language and Culture University (2014–2018), laying the foundation in data processing, systems thinking, and digital infrastructure. Across all degrees, she maintained an outstanding academic record and was honored with multiple awards for excellence in scholarship and leadership. Her academic path reflects a coherent evolution from data and systems to human-centric AI applications in management and healthcare.

Professional Experience 

Dr. Haoyue Fan’s professional trajectory has been deeply rooted in academic research and collaborative innovation. As a Ph.D. researcher at Beijing Institute of Technology, she actively contributes to national-level projects focusing on AI, mental health monitoring, and intelligent systems for public health. Her role has involved deep learning model development, data analysis, and system design, particularly within mobile health environments. Previously, as a master’s student, she contributed to applied research in staff scheduling optimization and peer behavior in online health communities, producing tangible outcomes including patents and conference papers. Dr. Fan has presented at leading conferences like PACIS, INFORMS CIST, and ICC, showcasing her ability to translate complex models into real-world solutions. Her research experience also spans topics such as AI coaching, IT artifact interaction, and hybrid neural models. She has proven capabilities in interdisciplinary teamwork, research execution, and academic leadership, underpinned by her consistent publication record.

Awards and Recognition 

Dr. Haoyue Fan has been recognized for her academic excellence, leadership, and research contributions throughout her academic career. She received the prestigious National Scholarship and the Special Prize Scholarship in 2020, underscoring her status as one of China’s top graduate students. Her Master’s thesis was awarded as Outstanding, and she was named a Beijing Excellent Graduate in 2021. She also earned titles such as Outstanding Student Leader and Excellent School Student, highlighting both her academic and extracurricular leadership. Her research contributions have led to national patents and presentations at premier conferences, showcasing her innovation in health informatics and operational systems. These awards reflect her diligence, originality, and commitment to research with real-world impact. As a scholar consistently ranked at the top of her cohort, Dr. Fan’s accolades represent both peer and institutional recognition of her academic leadership and future potential in management science and technology.

Research Skills 

Dr. Haoyue Fan possesses a rich skillset at the intersection of AI, management engineering, and health informatics. Her core competencies include deep learning, graph-based neural networks, XGBoost, and ensemble machine learning methods, which she applies in predictive analytics and decision-support systems. She has advanced expertise in IT artifact design, health platform behavior analysis, and operations research, especially in complex problem domains like staff scheduling and mental health detection. Dr. Fan is proficient in processing large-scale datasets, designing intervention systems, and conducting cross-disciplinary research within m-health and online communities. She is also experienced in system prototyping, model evaluation, and qualitative behavioral analysis. Her participation in national-level projects has refined her abilities in project management, team collaboration, and data privacy. Her research demonstrates a unique ability to integrate computational rigor with user-centered design, aiming to drive positive outcomes in digital health and public service optimization.

Publications

🤖 Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep Learning – Information & Management, 2025
👩‍⚕️ Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities – IJERPH, 2022
🧠 A Two-Stage Hybrid Credit Default Evaluation Model Using XGBoost and Graph-Based Deep Neural Network – Expert Systems with Applications, 2022
🩸 Staff Scheduling in Blood Collection Problems – Annals of Operations Research, 2020

XiaoQi LI | Qualitative Research | Best Researcher Award

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Ms. XiaoQi LI | Qualitative Research | Best Researcher Award

Ms. XiaoQi LI | Qualitative Research – huazhong agriculture university | China

Professional Profile

SCOPUS

Education

Ms. LI XiaoQi is currently pursuing her Ph.D. in Landscape Architecture at Huazhong Agricultural University, Wuhan, China, where she focuses on spatial and ecological planning. She previously earned her Master of Landscape Architecture from South China Agricultural University, Guangzhou, where she engaged in cultural landscape studies and planning strategies. Her academic journey began with a Bachelor’s degree in Physical Geography from Hengyang Normal University, laying the foundation for her expertise in environmental systems and terrain analysis.

Experience

Ms. Li has actively contributed to multiple national and institutional research projects. Notably, she participated in a project on the spatial planning and organic renewal of rural ecological livability, funded by the Fundamental Research Funds for the Central Universities of China, where she conducted historical image interpretation, rural settlement analysis, and development strategy formulation. She was also involved in a National Natural Science Foundation project focused on the landscape zoning and spatial structure of traditional settlements in the Wuling Mountains. In addition, she has been an invited speaker at national conferences, including the 12th Landscape Architecture Conference in Henan and the Conference on National Parks and Landscape Recreation in Shanghai, presenting on topics related to agricultural landscape change and public health-oriented park design.

Research Interests

Her primary research interests lie in agricultural landscape change assessment, sustainable landscape management, and the ecological dynamics of karst mountainous regions. She specializes in the use of geographic information systems (GIS), remote sensing image analysis, and historical landscape interpretation, integrating both qualitative and quantitative data approaches. Her work seeks to enhance the understanding of land use transitions, rural revitalization, and ecological planning under environmental stressors such as drought.

Awards

Ms. Li has received numerous recognitions for her academic and project excellence. She was honored with the Three Good Graduate Student Award and the Excellent Student Cadre Award at the school level in 2023. During her master’s program, she was a recipient of the First Class Scholarship. Her design and planning capabilities have earned her the Third Prize in the Excellent Urban Planning Competition of Guangdong Province, the Silver Prize in the International Ai Jing Landscape Design Competition, and First Prizes in both the Science and Technology Innovation Competition and the Hunan Urban-Rural Planning Design Competition. Additionally, she was acknowledged as an Excellent Communist Youth League Member during her undergraduate studies.

Publications

Li, X.Q., & Li, C.F. (2024). “Changes in agricultural landscape patterns and their influencing factors in karst mountainous areas under drought stress” in Ecological Indicators (In Revision).
Li, X.Q., & Yang, Q.C. (2024). “Scientometric insights into human settlements in karst landscape areas: Trends, challenges, and future directions” in Journal of Cleaner Production (In Revision).
Li, X.Q., Yang, Q.C., Lyu, X., Ye, Y., & Zhang, B. (2023). “Multidimensional framework for analyzing the distribution patterns of traditional villages in the karst landscape regions of China” in Ecological Informatics, 77, 102184.
Li, X.Q., & Zhao, J.H. (2023). “Study on the revitalization and protection of the Southern Guangdong Ancient Post Road from the perspective of study tourism—Taking the Xijing Ancient Road as an example” in Modern Urban Research, 04, 49–54.
Zhao, J.H., & Li, X.Q. (2022). “Public participation in the construction of Auckland Botanic Garden in New Zealand” in Chinese Landscape Architecture, 38(10), 44–49.

Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

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Mr. Desmond Bartholomew | Wavelet based analysis | Young Scientist Award

Federal University Of Technology Owerri | Nigeria

Author  Profile

Scopus

orcid

Google Scholar

Early Academic Pursuits

Mr. Desmond Bartholomew began his academic journey with a Bachelor of Technology in Statistics from the Federal University of Technology, Owerri (FUTO), Nigeria, where he graduated with First Class honors. His undergraduate thesis addressed the Estimation of Nonorthogonal Problem Using Time Series Dataset, laying a strong foundation in quantitative modeling and time series analysis. He pursued his postgraduate studies at the University of Port Harcourt, earning a Master of Science in Statistics. His master’s thesis investigated the Effects of Maternal Education, Weight, and Age on Child Birth Weight in Nigeria, reflecting an early focus on public health data analysis.

Professional Endeavors

Mr. Bartholomew’s career reflects a dynamic mix of academic, research, and industry experience. He currently serves as an Assistant Lecturer in the Department of Statistics at FUTO, where he plays an active role in teaching, supervising projects, and supporting graduate seminars. He also holds the position of Facilitator and Trainer at the Centre of Excellence in Sustainable Procurement, Environmental and Social Standards (CESPESS), where he imparts practical statistical training for both undergraduate and postgraduate students.

Earlier, he worked as a Graduate Assistant in the same department, where he was instrumental in curriculum development, statistical consulting, and creating course materials in R and Python. In the corporate sector, Mr. Bartholomew served as a Management Information Systems Analyst at Leadway Assurance Company, contributing to data visualization, Power BI dashboard creation, and business intelligence reporting.

Contributions and Research Focus

Mr. Bartholomew’s research interests intersect statistical modeling, data science, machine learning, environmental statistics, engineering applications, and public health analytics. His published works showcase applications of wavelet transforms, Bayesian inference, experimental design, and artificial intelligence in solving contemporary issues in finance, community health, and engineering. His publications span high-impact journals including Annals of Data Science, Earth Science Informatics, and the CBN Journal of Applied Statistics.

Impact and Influence

Mr. Bartholomew’s influence is evident through his cross-disciplinary collaborations, involvement in international conferences, and active membership in professional bodies such as the Professional Statisticians’ Society of Nigeria and Data Science Network, Nigeria. His commitment to data-driven decision-making and capacity building is shaping the next generation of statistical and data science professionals in Nigeria. He also contributes to administrative and strategic planning roles at FUTO, enhancing both departmental and institutional functions.

Academic Citations

Mr. Bartholomew’s research output is indexed on Google Scholar, ResearchGate, SCOPUS, and Web of Science, providing global access to his work. His publications are increasingly cited in areas like applied statistics, machine learning, and environmental health, marking his growing reputation within the academic and professional data science community.

Technical Skills

Mr. Bartholomew possesses advanced technical competencies in R, Python, Power BI, and QlikView, with hands-on experience in data visualization, machine learning modeling, and multivariate analysis. His ability to integrate statistical knowledge with modern tools equips him to manage complex datasets and generate actionable insights. He also holds certifications in web programming, environmental standards, and data science from global platforms like DataCamp and institutions like HIIT Nigeria.

Teaching Experience

His teaching portfolio includes a wide range of undergraduate and postgraduate statistics courses, such as Descriptive Statistics, Probability Theory, Statistical Inference, Biostatistics, Experimental Design, Multivariate Methods, and Bayesian Inference. He has also developed and led modules in R programming, data cleaning, and survey analysis, often merging theoretical knowledge with real-world applications.

Legacy and Future Contributions

Mr. Bartholomew has taken up several leadership roles including serving as the President of the 2015 Alumni Association, Timetable Officer, and Website Desk Officer for the Department of Statistics at FUTO. He is deeply involved in mentoring students, shaping academic policy, and enhancing technological integration within the university. His recent recognition for the Best Research Publication in 2024 highlights his dedication to excellence in scholarly communication. With a clear vision for advancing evidence-based policymaking through data, Mr. Bartholomew is poised to contribute significantly to both national and international research landscapes.

Publication

Optimizing Nigerian Bank Lending Systems: The Power of Discrete Wavelet Transform (DWT) in Denoising and Regression Analysis

Authors: C. J. Ogbonna, C. J. Ohabuka, D. C. Bartholomew, K. E. Anyiam, I. Adamu
Journal: Annals of Data Science
Year: 2025

Modeling the Geotechnical Properties of Small Soil Samples of Oil Polluted Soil: The Power of Supervised Machine Learning Models

Authors: A. N. Nwachukwu, D. C. Bartholomew
Journal: Soil and Sediment Contamination
Year: 2024

Intervention Analysis of COVID-19 Vaccination in Nigeria: The Naive Solution Versus Interrupted Time Series

Authors: Desmond Chekwube Bartholomew, Chrysogonus Chinagorom Nwaigwe, Ukamaka Cynthia Orumie, Godwin Onyeka Nwafor
Journal: Annals of Data Science
Year: 2024

A Monte Carlo Simulation Comparison of Methods of Detecting Outliers in Time Series Data

Authors: Desmond C. Bartholomew
Journal: Journal of Statistics Applications & Probability
Year: 2022

Classical and Machine Learning Modeling of Crude Oil Production in Nigeria: Identification of an Eminent Model for Application

Authors: C. P. Obite, A. Chukwu, D. C. Bartholomew, U. I. Nwosu, G. E. Esiaba
Journal: Energy Reports
Year: 2021

Anne Replumaz | Real-world Case Studies | Best Researcher Award

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Dr. Anne Replumaz | Real-world Case Studies | Best Researcher Award

Université Grenoble Alpes | France

Author  Profile

Google Scholar

Early Academic Pursuits

Dr. Anne Replumaz began her academic journey with a rigorous foundation in Earth Sciences. She entered the prestigious École Normale Supérieure de Cachan in 1990, followed by the Magistère Inter Universitaire des Sciences de la Terre in Paris (1991–1993). She then pursued a DEA at IPG Paris (1993–1994) and completed her Doctorate at IPG Paris between 1994 and 1999, under the guidance of renowned geologists R. Lacassin and P. Tapponnier. This early phase of her academic career firmly rooted her expertise in tectonics and geological modeling.

Professional Endeavors

Dr. Replumaz has had a distinguished and progressive research career across top French institutions. She began as an ATER at LGIT Grenoble (1999–2001), followed by a Post-doctoral position at CEA-CNRS, Toulouse (2001–2002). From 2002 to 2007, she served as a CR2 Researcher at LST Lyon, then transitioned to CR1 Researcher roles at LGCA and ISTerre, Grenoble (2007–2023). In 2023, she was promoted to Chargée de Recherche Hors Classe (CRHC) at ISTerre, marking her as a senior figure in her field. Her professional advancement is marked by the attainment of the Habilitation à diriger des recherches (HDR) in 2014, confirming her capacity to lead doctoral research.

Contributions and Research Focus

Dr. Replumaz’s research spans a comprehensive range of topics including continental deformation, fault dynamics, and crust-mantle interactions, with a geographic focus on Tibet and the Himalayas. She has led and contributed to multiple ANR and international research projects such as ANR Tibetan Orchestra and NSFC collaborations with China, investigating seismic hazards, exhumation processes, and tectonic activity. Her approach integrates field studies, analogue modeling, and thermochronology, reflecting a robust multi-disciplinary methodology.

Impact and Influence

Her scientific impact is demonstrated through sustained international collaborations, notably with institutions in China, Italy, the Netherlands, and Australia. She has co-supervised numerous PhD and Master students, many of whom have published in prestigious journals such as EPSL, GRL, Tectonics, and Geomorphology. She actively contributes to the scientific community through editorial work—serving as Associate Editor at Tectonics since 2023 and being recognized as one of AGU’s Outstanding Reviewers (2021). She routinely serves on national and international selection and evaluation panels (e.g., HCERES, CNU, SNSF), affirming her leadership and peer recognition.

Academic Cites

Dr. Replumaz has authored or co-authored dozens of peer-reviewed publications, many in top-tier geoscience journals such as Nature Geoscience, EPSL, Science, and PNAS. Her work is highly cited, especially in areas related to tectonic deformation in Asia, indicating a strong academic footprint and influence across the geodynamics community.

Technical Skills

She possesses advanced skills in geophysical modeling, thermochronological data analysis, and analog sand modeling experiments. Her ability to lead field missions in complex geological terrains, particularly in the Tibetan Plateau, underscores her hands-on expertise and technical leadership. She is also proficient in managing multinational research programs, coordinating budgets exceeding €100,000 annually.

Teaching Experience

Dr. Replumaz has contributed extensively to graduate education and doctoral training. She has been a key instructor in modules such as “Dynamique de la lithosphère” and “Imagerie profonde”, and played a leadership role in M1 internships and doctoral schools. Her teaching experience extends back to her time as an ATER, and she remains actively engaged in mentoring Master’s and PhD students.

Legacy and Future Contributions

As the Deputy Director of ISTerre (2025) and a long-time contributor to scientific strategy at OSUG and LabEx, Dr. Replumaz continues to shape the institutional and scientific future of French geoscience. She is also deeply committed to public engagement and scientific outreach, having led initiatives with secondary schools, media, and CNRS-sponsored events such as “Science is Wonderful” and Cosmocité. Her legacy includes both advancing seismic and tectonic research and fostering science communication across generations.

Publications

New constraints on the structure, thermochronology, and timing of the Ailao Shan‐Red River shear zone, SE Asia

Authors: PH Leloup, N Arnaud, R Lacassin, JR Kienast, TM Harrison, TTP Trong, et al.
Journal: Journal of Geophysical Research: Solid Earth
Year: 2001

Reconstruction of the deformed collision zone between India and Asia by backward motion of lithospheric blocks

Authors: A Replumaz, P Tapponnier
Journal: Journal of Geophysical Research: Solid Earth
Year: 2003

 4-D evolution of SE Asia’s mantle from geological reconstructions and seismic tomography

Authors: A Replumaz, H Karason, RD van der Hilst, J Besse, P Tapponnier
Journal: Earth and Planetary Science Letters
Year: 2004

 Large river offsets and Plio‐Quaternary dextral slip rate on the Red River fault (Yunnan, China)

Authors: A Replumaz, R Lacassin, P Tapponnier, PH Leloup
Journal: Journal of Geophysical Research: Solid Earth
Year: 2001

Modeling the evolution of continental subduction processes in the Pamir–Hindu Kush region

Authors: AM Negredo, A Replumaz, A Villaseñor, S Guillot
Journal: Earth and Planetary Science Letters
Year: 2007

Hamid Hassaneian Khoshro | Agricultural Data Analysis | Best Researcher Award

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Dr. Hamid Hassaneian Khoshro | Agricultural Data Analysis | Best Researcher Award

Dryland Agricultural Research Institute (DARI) of Ira | Iran

Author  Profile

Google Scholar

Early Academic Pursuits

Hamid Hassaneian Khoshro began his academic career with a Bachelor of Science in Agronomy and Plant Breeding from Bu-Ali Sina University, Hamedan, Iran (2007). He pursued a Master’s degree in Plant Breeding at the University of Tehran (2007–2009), focusing on genetic variation of low-molecular-weight glutenin subunit genes in Iranian bread wheat using molecular markers. His academic progression continued into a Ph.D. in Plant Breeding – Biometrical Genetics at the University of Tehran, where he examined gene expression related to assimilate remobilization and osmotic adjustment in wheat genotypes under terminal drought stress.

Professional Endeavors

Khoshro has contributed to several national research projects at the University of Tehran and the Seed and Plant Improvement Institute (Karaj, Iran). His work centers on wheat genetics, particularly identifying alleles contributing to end-use quality and stress tolerance. These efforts have supported crop improvement programs and strengthened his expertise in both laboratory research and field trials.

Contributions and Research Focus

His core research interests include molecular studies on drought stress in wheat, genetic diversity, and the application of specific molecular markers. Khoshro’s work explores the allelic diversity of glutenin subunits, gene polymorphisms, and the function of endogenous small RNAs in plant immunity. His research helps enhance seed quality and informs strategies for developing stress-resilient crop varieties.

Impact and Influence

Khoshro’s research contributes to improving wheat quality and climate adaptation in agriculture. His findings assist in the development of wheat cultivars with enhanced resilience and better processing traits, directly influencing breeding programs and agricultural biotechnology. His dual focus on basic research and applied plant improvement broadens the impact of his scientific efforts.

Academic Citations

His scholarly output includes peer-reviewed articles in journals such as the Iranian Journal of Agricultural Sciences and Cereal Research Communications. His studies on Glu-A3 and Glu-D3 gene polymorphisms and allelic diversity in wheat are cited in the context of wheat breeding and genomics research. He has also contributed to international conferences and submitted work to Breeding Science of Japan.

Technical Skills

Khoshro is proficient in molecular marker techniques (especially PCR-based systems), gene expression analysis, and biochemical evaluation of plant traits. His background in statistical genetics, biometrical analysis, and experimental design supports his rigorous approach to genetic evaluation in plant breeding.

Teaching Experience

While primarily research-focused, Khoshro has supported academic training through student mentoring, especially in laboratory and field techniques related to plant genetics and molecular biology. His involvement in research projects has provided practical learning opportunities for undergraduate and graduate students.

Legacy and Future Contributions

Hamid Hassaneian Khoshro’s work builds a solid foundation for future research in molecular breeding, especially under abiotic stress conditions. His dedication to integrating genetic tools with practical breeding solutions positions him to contribute to the creation of climate-resilient, biofortified crops, addressing critical challenges in food security. His ongoing contributions are expected to influence sustainable agricultural development in drought-prone regions.

Publication

Post-transcriptional and post-translational regulations of drought and heat response in plants: a spider’s web of mechanisms

Authors: D. Guerra, C. Crosatti, H.H. Khoshro, A.M. Mastrangelo, E. Mica, …
Journal: Frontiers in Plant Science
Year: 2015

 Expression analysis of the genes involved in accumulation and remobilization of assimilates in wheat stem under terminal drought stress

Authors: H.H. Khoshro, A. Taleei, M.R. Bihamta, M. Shahbazi, A. Abbasi, …
Journal: Plant Growth Regulation
Year: 2014

Expression analysis of the genes involved in osmotic adjustment in bread wheat (Triticum aestivum L.) cultivars under terminal drought stress conditions

Authors: H.H. Khoshro, A. Taleei, M.R. Bihamta, M. Shahbazi, A. Abbasi
Journal: Journal of Crop Science and Biotechnology
Year: 2013

Screening of tarragon accessions based on physiological and phytochemical responses under water deficit

Authors: H. Mumivand, A. Ebrahimi, A. Shayganfar, H.H. Khoshro
Journal: Scientific Reports
Year: 2021

Evaluation of tolerance of chickpea genotypes to weed competition

Authors: B.K. Torki, H.H. Khoshro, M.R. Bihamta, P. Moradi, H.M.A. Yamchi
Journal: Seed and Plant Production Journal
Year: 2013

Shireen Al Suleiman | Innovation in Data Analysis | Transcontinental Data Precision Award

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Mrs. Shireen Al Suleiman | Innovation in Data Analysis | Transcontinental Data Precision Award

Universidad Politécnica de Madrid (UPM) | Spain

Author  Profile

Scopus

Early Academic Pursuits

Dr. Shireen Al Suleiman began her academic journey with a Degree in Civil Engineering from the Civil Engineering University in Damascus, Syria (2002–2007), later recognized in Spain as Ingeniero Técnico de Obras Públicas (2022). She further pursued a Master’s in Infrastructure Management and Planning (2019–2020) and a Ph.D. in Civil Engineering Systems at the Universidad Politécnica de Madrid (UPM) (2021–2023), graduating with “Sobresaliente Cum Laude”, the highest academic distinction.

Professional Endeavors

Her career reflects a progression through national and international roles in transport engineering, infrastructure development, and project management. Early roles included working with the Ministry of Transport in Syria as a Project Manager, focusing on port infrastructure, licensing, and contract monitoring in cooperation with Turkey’s Ministry of Transportation.

In Spain, she held the position of Assistant Highway Engineer at RAUROS (TYPSA Group), contributing to road maintenance and civil consulting projects. At Vectio, she currently serves as a Consulting Transport Engineer (2025–present), and she previously held research roles at TRANSyT (UPM), first as a PhD Researcher and later as a Postdoctoral Researcher, contributing to the Trackbest-3S project on public transport satisfaction modeling and transport line planning.

Contributions and Research Focus

Her main research interests include transport systems planning, user behavior in public transit, socioeconomic factors in mobility, and service quality modeling. Her work emphasizes survey analysis, data modeling, and policy-driven transport planning aimed at improving urban bus systems.

Impact and Influence

Dr. Al Suleiman’s findings have been published in peer-reviewed journals and presented at international conferences. Her cross-cultural analysis of transport quality in Oviedo (Spain) and Tangier (Morocco) provides valuable insight into urban transport dynamics. She participated in major conferences such as:

  • Transportation Engineering Forum (Madrid, 2022)

  • CIT Conference (Tenerife, 2023)

  • NECTAR Conference (Brussels, 2024)

  • ICCE2024 (Damascus, 2025)

Academic Citations and Publications

Selected publications:

  • European Transport Research Review: Key Factors for a Successful Bus System
    Link

  • Transportation Research Procedia: Urban Bus Service Quality – Oviedo Case Study
    Link

  • Case Studies on Transport Policy: Comparative Analysis: Tangier vs. Oviedo
    Link

Technical Skills

She is proficient in both general and specialized tools, including:

  • Project Management: Microsoft Office, Primavera

  • Engineering Design & GIS: AutoCAD, QGIS

  • Data Analysis: SPSS, STATA

  • Transport Modeling: SIDRA, VISUM, VISSIM

Teaching Experience

At UPM, she contributed to academic mentorship, supported transport engineering teaching modules, and facilitated interdisciplinary workshops using participatory planning methods, including Focus Group approaches in both urban and rural contexts.

Legacy and Future Contributions

Dr. Al Suleiman aims to advance sustainable mobility, accessible urban planning, and evidence-based transportation policies. Her international background, multilingualism (English, Spanish, French, Arabic), and cross-sector experience make her a strong contributor to global transport research and urban innovation initiatives. Her career continues to bridge academic research, consulting practice, and policy development in transport engineering.

Publication

How to improve public transport usage in a medium-sized city: key factors for a successful bus system

 Evaluation of Urban Bus Service Quality in a Medium-Sized City: Case Study Oviedo
Comparative Analysis of Perceived Quality of Bus Services in Different Socioeconomic and Cultural Urban Contexts: Tangier (Morocco) and Oviedo (Spain)

  • Authors: Shireen Al Suleiman, Andrés Monzón, Elena Lopez, Adriana Cortez OUCI+6transyt.upm.es+6CoLab+6

  • Journal: Case Studies on Transport Policy, Volume 19

  • Year: 2025 (March 2025, Article 101321

 

Lin Li | Healthcare Data Analysis | Best Researcher Award

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Dr. Lin Li | Healthcare Data Analysis | Best Researcher Award

Queensland University of Technology | Australia

Author  Profile

Scopus

Early Academic Pursuits

Dr. Lin Li began her medical education at Chongqing Medical University in September 2010, enrolling in the prestigious seven-year Bachelor of Clinical Medicine program. During her undergraduate studies, she demonstrated exceptional academic performance, maintaining  ranking third in her cohort. In addition to mastering core medical subjects, Dr. Li actively participated in clinical internships, gaining fundamental diagnostic and therapeutic skills. Her commitment to academic excellence extended beyond traditional coursework, as she also contributed to the translation of the book “Patient Safety,” a project led by the university dean—reflecting her early engagement in global medical communication and teamwork.

Professional Endeavors

Dr. Li pursued her Master’s degree in Neurology at Chongqing Medical University from September 2015 to June 2018, where she also worked as a resident physician and obtained her Medical Practitioner Qualification Certificate. Her residency period was marked by hands-on clinical training and substantial involvement in research. Dr. Li’s contributions during this time include participation in multiple city-level research projects, demonstrating her ability to integrate clinical practice with evidence-based research. She also joined a project focused on stroke rehabilitation, titled “The effects of exercise training time and intensity on cerebral 5-HT, its receptor, and BDNF in rats with cerebral infarction,” which further solidified her interest in neurovascular health.

Contributions and Research Focus

Dr. Lin Li’s research efforts primarily revolve around neurology, with a particular emphasis on cerebrovascular disease, neuroimaging, and neurodegenerative disorders such as Parkinson’s Disease. Her scholarly work bridges clinical applications and laboratory science. She has been actively involved in multiple studies that investigate imaging techniques and their diagnostic value in ischemic stroke, the role of apolipoproteins in neurodegeneration, and the sex-based differences in thrombolytic outcomes. Her ability to integrate imaging, molecular biology, and clinical perspectives showcases her interdisciplinary research style.

Impact and Influence

Dr. Li has co-authored several peer-reviewed publications in respected journals such as the Chinese Medical Journal (English Edition) and the Journal of Clinical Neuroscience, indicating her rising influence in neurology research. Her work on susceptibility-weighted imaging in stroke therapy and systematic reviews in thrombolysis has contributed to a more nuanced understanding of patient-specific variables in treatment outcomes. These contributions have laid the groundwork for future studies in stroke imaging and personalized neurology.

Academic Citations

Dr. Li’s publications have garnered academic recognition and are frequently cited in research focusing on acute ischemic stroke imaging, Parkinson’s disease pathology, and sex-based clinical outcome disparities in neurology. These citations reflect her growing reputation within the neuroscience community and the relevance of her work to ongoing clinical and translational research.

Technical Skills

Dr. Li is proficient in a range of laboratory techniques essential to neuroscience research. These include cell culture, western blotting, MTT assay, RNA extraction, PCR, confocal microscopy, and animal experimentation. Her technical skill set supports her experimental competence in both in vivo and in vitro models, enabling her to contribute effectively to multi-phase research initiatives.

Teaching Experience

While pursuing her master’s degree and working as a resident, Dr. Li also engaged in mentoring junior colleagues and guiding them through laboratory protocols and clinical case analysis. Though not in a formal teaching position, her involvement in collaborative research and clinical environments provided opportunities to develop her leadership and instructional skills. Her contributions enhanced the learning experience of fellow students and interns.

Legacy and Future Contributions

Dr. Lin Li stands at the intersection of clinical neurology and research innovation. With a solid foundation in clinical medicine and advanced research training in neurology, she is well-positioned to make continued contributions to stroke research, neuroimaging diagnostics, and translational neuroscience. Her future goals likely include expanding her research on sex differences in stroke outcomes, molecular markers in neurodegeneration, and therapeutic strategies combining imaging and pharmacological interventions. Her commitment to collaborative science and continuous learning suggests that her legacy will be one of bridging clinical practice and scientific discovery for improved neurological care.

Publication

 Susceptibility-weighted Imaging in Thrombolytic Therapy of Acute Ischemic Stroke
  • Authors: Li L, Liu MS, et al.
    Journal: Chinese Medical Journal (Engl)
    Year: 2017
    Date: October 20, 2017
    Volume/Issue/Pages: 130(20):2489–2497
Relationship between Apolipoprotein Superfamily and Parkinson’s Disease
  • Authors: Li L, Liu MS, et al.
    Journal: Chinese Medical Journal (Engl)
    Year: 2017
    Date: November 5, 2017
    Volume/Issue/Pages: 130(21):2616–2623
The different clinical value of susceptibility vessel sign in acute ischemic stroke patients under different interventional therapy: A systematic review and meta-analysis
  • Authors: Liu M, Li L, Li G
    Journal: Journal of Clinical Neuroscience
    Year: 2019
    Date: April 2019
    Volume/Issue/Pages: 62:72–79
The Influence of Sex in Stroke Thrombolysis: A Systematic Review and Meta-Analysis
  • Authors: Liu M, Li G, Tang J, Liao Y, Li L, et al.
    Journal: Journal of Clinical Neurology
    Year: 2018
    Date: April 2018
    Volume/Issue/Pages: 14(2):141–152

 

Ankita Debnath | Healthcare Data Analysis | Young Scientist Award

Published on by Research Data Analysis

Ms. Ankita Debnath | Healthcare Data Analysis | Young Scientist Award

ILS Nursing Institute | India

AUTHOR  PROFILE

Scopus

CURRENT POSITION

Ms. Ankita Debnath is currently working as a Full-Time Assistant Professor at the ILS Nursing Institute, Agartala, Tripura, a position she has held since 22nd April 2019. Alongside her academic role, she is pursuing a Part-Time Ph.D. in Nursing from Desh Bhagat University, Punjab, which she commenced in 2020 and is expected to submit her thesis within the next two months.

SUMMARY

Ms. Debnath is a dedicated and ambitious nursing professional with over six years of teaching experience and a strong clinical background. She possesses excellent communication skills, leadership qualities, and a strong commitment to continuous learning and academic development. She has contributed significantly to academic research, student mentoring, and clinical training, and has been actively involved in scientific publications and national/international conferences.

EDUCATIONAL QUALIFICATIONS

Ms. Debnath holds a Master of Science in Medical-Surgical Nursing with Distinction (79.41%) from Rajiv Gandhi University of Health Sciences, completed in 2018. She earned her Bachelor of Science in Nursing from Gauhati University in 2014, securing 65.53%. Her earlier education includes a Higher Secondary qualification from TBSE in 2009 (66%) and Madhyamik from TBSE in 2007 (84.5%). She is currently a Ph.D. Research Scholar (Part-Time) at Desh Bhagat University, Punjab (2020 batch).

PROFESSIONAL EXPERIENCE

Ms. Debnath began her clinical career as a Staff Nurse at Mahanam Seva Sadan Nursing Home, Tripura, in 2014, followed by a tenure at the BM Birla Heart Research Centre, Kolkata, in the High Dependency Unit (HDU) from 2015 to 2016. She transitioned to academics in 2019 at ILS Nursing Institute, where she has been serving as an Assistant Professor and SNA Unit Advisor for over six years.

RESEARCH INTERESTS

Her primary research interests include postoperative care, complementary therapies, pain management, quality of life in cancer patients, and nursing education interventions. Her M.Sc. dissertation focused on the “Effectiveness of supportive educational intervention on pain and physical function among patients undergone abdominal surgery“, and her Ph.D. research aligns with similar themes in clinical nursing.

RESEARCH AND PUBLICATIONS

Ms. Debnath has co-authored three peer-reviewed journal articles, including a recent publication in the Egyptian Journal of Medical Human Genetics (2025) and the Journal of Cancer Biology (2025). One of her key publications, focusing on supportive educational intervention in abdominal surgery patients, has been accepted in the International Journal of Caring Sciences. Her work reflects a strong inclination toward evidence-based practice and patient-centered care.

PUBLICATION

Effectiveness of a supportive educational intervention on pain and physical function among patients undergone abdominal surgery: A randomized controlled trial

Author(s): Venkatesan Balu, Sukanta Nath, Ankita Debnath

Journal: International Journal of Caring Sciences

Year: 2025 (Accepted)

 Effectiveness of comprehensive nursing intervention on alleviating postoperative fatigue and anxiety in patients with oral cancer

Author(s): Sukanta Nath, K. Falwaria, S. Debbarma, M. Pattnaik, Ankita Debnath

Journal: Journal of Cancer Biology

Year: 2025

Molecular epidemiology and genotype distribution of genital high-risk human papillomavirus among women in North–East India

Author(s): Jayanta Ray, Jaharlal Baidya, Dhruba P Paul, Gautam Majumdar, Shiromani Debbarma, Atanu Sarkar, Manidipa Chakma, Manash P Barman, Matrujyoti Pattnaik, Ankita Debnath, Sukanta Nath

Journal: Egyptian Journal of Medical Human Genetics

Year: 2025

 A Study to Assess the Effectiveness of Nursing Interventions on Anxiety among Postoperative Oral Cancer Patients Admitted in Regional Cancer Centre, Tripura, India

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Healthcare Nursing Research

Year: 2025

Importance of Nursing Intervention in Alleviating Post-Surgical Fatigue for Patients with Oral Cancer

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Medical-Surgical Nursing Practice and Research

Year: 2025

Rajendra Babu | Social Impact | Best Researcher Award

Published on by Research Data Analysis

Dr. Rajendra Babu | Social Impact | Best Researcher Award

Tumkur University | India

Author Profile

Scopus

Orcid 

Google Scholar

Early Academic Pursuits

Dr. Rajendra Babu H began his academic journey with a Bachelor of Science (CBZ), followed by a Bachelor’s and Master’s in Library and Information Science from Bangalore University. He further pursued post-master’s training in “IT Applications to Library and Information Services” at the National Centre for Science Information (NCSI), Indian Institute of Science (IISc). His Ph.D. research, titled “Use of Open Access Journals for Scholarly Communication in Life Sciences: A Study”, was completed under Dr. Chandrashekara. M, at the University of Mysore.

Professional Endeavors

With over 19 years of professional experience, Dr. Babu has worked in academic institutions and multinational companies. He is currently an Assistant Professor at the Department of Studies and Research in Library and Information Science, Tumkur University. His corporate tenure includes roles at HLL, GE, Capco, Symphony Services Corporation, and Wipro Technologies, where he developed and managed world-class information and knowledge centers.

Contributions and Research Focus

Dr. Babu’s research focuses on open access, knowledge management, and IT integration in library science. His expertise includes database development, content research, summarization of research, newsletter creation, and web-based information services. He has been instrumental in setting up corporate consortiums, conducting training programs, and managing library systems and services.

Impact and Influence

His influence spans both academic and corporate sectors, contributing to Six Sigma initiatives, document management systems like SharePoint and Documentum, and administrative frameworks. He is an active member of professional bodies such as NCSI-NET Foundation, KALA, MyLISA, and MILAN. He served as General Secretary and is currently a Governing Council Member of the Karnataka State Library Association (KALA).

Academic Citations and Publications

Dr. Babu has published over 50 papers in national and international journals and conferences. He is the recipient of five Best Paper Awards for his contributions. He has co-authored 4 books and edited 6 conference proceedings with ISBN, establishing a strong presence in the field of library and information science.

Technical Skills and Expertise

His technical skills include database searching and retrieval, content/knowledge management, SharePoint, Documentum, usage tracking, research analysis, Six Sigma methodologies, and digital publishing. His proficiency in library automation and information service delivery positions him as a specialist in digital librarianship.

Teaching Experience and Leadership

As a faculty member, Dr. Babu imparts knowledge in digital information systems, research methodology, and content management. He brings industry insights to his teaching, mentoring students in library science and information research. His involvement in academic publications and conference proceedings reflects his commitment to educational leadership.

Legacy and Future Contributions

Dr. Rajendra Babu is a trailblazer in bridging academic research and industrial knowledge services. His contributions in open access communication, corporate knowledge management, and library education set a foundation for future innovation. His ongoing engagement in professional networks and dedication to research and teaching promise continued impact in the evolving field of information science.

Publications

Benefits of Videos in YouTube for the Undergraduate Students in Engineering and Technology in India

  • Authors: H., R.B.; Buddayya, R.; Gujjarappa, N.L.

  • Journal: Webology

  • Year: 2019

  • EID: 2-s2.0-85080881070

  • ISBN: 1735188X

Citations v/s Altmetric Attention Score: A Comparison of Top 10 Highly Cited Papers in Nature

  • Authors: Vysakh, C.; Babu, H.R.

  • Journal: Library Philosophy and Practice

  • Year: 2019

  • EID: 2-s2.0-85072855209

  • ISBN: 15220222

Moving from Script to Science 2.0 for Scholarly Communication

  • Authors: Nikam, K.; Rajendra Babu, H.

  • Journal: Webology

  • Year: 2009

  • EID: 2-s2.0-67651094008

  • ISBN: 1735188X