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

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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

Meriem Elbouhali | Blockchain | Best Researcher Award

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Dr. Meriem Elbouhali | Blockchain | Best Researcher Award

ESLSCA Paris Business School, CERFIM | France

Author Profile

Scopus

Early Academic Pursuits

Dr. Meriem El Bouhali is a distinguished scholar in the field of digital marketing and business-to-business (B2B) research. Her academic journey reflects a consistent trajectory of excellence and depth in management sciences. She holds a Ph.D. in Management Sciences (Digital Marketing) from Université Paris 2 Panthéon-Assas, earned in December 2020. Her doctoral thesis, titled “Convertir les visiteurs du site web en clients : comment la qualité du site web de fournisseur influence la confiance et l’intention de sélection dans un contexte de sourcing ?”, was awarded with “Mention très honorable avec les félicitations à l’unanimité”, a prestigious distinction reflecting both the academic quality and practical relevance of her research. Her thesis received the University Thesis Prize of Paris 2, emphasizing its contribution to the field.

Her academic foundations are equally solid. Dr. El Bouhali completed a Master 2 in Management Sciences (Organizational Management) at Université Paris 2 Panthéon-Assas in 2013 and a Master 1 in Economics and Management at Université Paris 1 Panthéon-Sorbonne in 2012. She also completed the EDEN Doctoral Seminar on Advances in B2B Marketing at the Turku School of Economics in Finland in 2019, further reinforcing her international research exposure.

Professional Endeavors

Dr. El Bouhali currently serves as an Associate Professor and Program Director at ESLSCA Business School Paris, where she leads the MBA in Digital Marketing and Innovation. Her responsibilities span from academic course design and delivery to program coordination and student mentorship. She is involved in the strategic development of curricula, pedagogical innovation, partnership building, and international academic initiatives.

Her professional academic experience includes roles as an adjunct faculty member at the Faculté Libre de Droit, d’Économie et de Gestion (2016–2021), a contractual professor at Université de Picardie Jules Verne (2018–2019), and an ATER (Attachée Temporaire d’Enseignement et de Recherche) at Université Paris 2 Panthéon-Assas (2014–2016). Across these positions, she has taught a wide range of subjects, including digital marketing, B2B marketing, service marketing, international negotiation, customer loyalty, and research methodology.

Contributions and Research Focus

Dr. El Bouhali’s research is rooted in the digital transformation of B2B marketing, with a specific interest in how website quality, digital trust, and online partner selection influence business relationships. Her published work includes studies on blockchain adoption in auditing, internal branding and social media performance, and sustainable business models in the financial services sector.

Her doctoral and postdoctoral work investigates the intersection between digital interface quality and supplier selection, using both qualitative and quantitative methods. Her approach blends theory with practical application, providing insight into how organizations can improve digital presence to build trust and enhance buyer engagement.

Impact and Influence

Through her research and teaching, Dr. El Bouhali has made significant contributions to both academia and industry. Her work on digital trust in sourcing contexts and social media capabilities has been cited and discussed in academic conferences and peer-reviewed journals. She has participated in high-level conferences such as the EMAC Annual Conference, the Association Française du Marketing, and the International Marketing Trends Conference. Her research is shaping modern marketing discourse, particularly in the context of sustainability, customer relationship management, and technological innovation.

Academic Citations and Publications

Dr. El Bouhali’s peer-reviewed articles and academic collaborations reflect her influence in the field. Key publications include:

  • “Blockchain Technology Adoption Intention among the Big Four Audit Firms” (The British Accounting Review, 2025)

  • “Les capacités dans le domaine des médias sociaux, déterminants de la performance salariée” (Gestion2000, 2024)

  • “Vers un business model durable: une étude de cas d’un groupe de services financiers” (Droit et Patrimoine, 2023)

  • “Choix du fournisseur à l’ère du digital” (Cahiers de recherche FACO, 2019)

She also has multiple articles under review or submitted to reputable journals, including Technovation, Studies in Higher Education, and Research in International Business and Finance.

Technical Skills

Dr. El Bouhali is proficient in both qualitative and quantitative research methodologies, using tools such as SPSS, SMART PLS, and QDA Miner. She is also adept with the Microsoft Office 365 Suite and delivers distance education via platforms like Zoom, Teams, and Discord. Her teaching approach incorporates active learning, including flipped classrooms and problem-based learning strategies.

Teaching Experience

Her teaching expertise covers both undergraduate and graduate levels, including Bachelor’s, MBA, and Master’s programs. She has taught a broad spectrum of courses in marketing, including digital marketing, customer loyalty, strategic marketing, and CSR. Her teaching style emphasizes critical thinking, real-world application, and interactive methodologies.

She has also played an active role in supervising master’s theses, coordinating program accreditations (RNCP), and organizing student workshops, conferences, and international study tours. She is involved in faculty development and supports student engagement initiatives.

Legacy and Future Contributions

Dr. El Bouhali’s academic legacy is defined by her commitment to bridging the gap between theory and practice, especially in the fast-evolving domains of digital marketing and sustainable innovation. Looking ahead, she plans to continue researching how digital transformation impacts buyer–supplier dynamics, with a focus on AI integration, B2B trust models, and sustainable customer engagement.

Her role in shaping future marketing professionals is not limited to teaching—she actively designs programs that are industry-relevant, research-driven, and pedagogically progressive. As a member of the CERFIM and LARGEPA research labs, she is well-positioned to influence future debates on responsible marketing and technological change.

Publications

Blockchain technology adoption intention among the Big Four audit firms, 2025

 

Najla Bouebdallah | Blockchain | Best Researcher Award

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Dr. Najla Bouebdallah | Blockchain | Best Researcher Award

Excelia Business School | France

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Najla Bouebdallah’s academic journey is marked by exceptional excellence and dedication to the field of management sciences and accounting. Born and educated in Tunisia, she began her scholarly path with a Baccalauréat in Mathematics (2007), graduating with Mention Très Bien. She pursued a Bachelor’s in Management Sciences with a specialization in Accounting at ISG Tunisia, where she again ranked at the top of her class in 2010. Her passion for academia led her to complete a Master’s in Accounting and Financial Methods in 2013 at FSEG Tunisia, where she graduated with the highest distinction and was recognized as the major of her promotion.

Driven by a growing interest in understanding the strategic value of knowledge within organizations, Dr. Bouebdallah earned her Ph.D. in Management Sciences in 2019 from the GRANEM research laboratory (IAE Angers) and IHEC Carthage. Her doctoral thesis, “The Impact of Intellectual Capital on Business Performance: Case of the BRICS Countries,” was supervised by prominent scholars including Prof. Lionel Escaffre and Prof. Salma Damak Ayedi, reflecting her early focus on intangible assets and performance analytics in emerging economies.

💼 Professional Endeavors

Dr. Bouebdallah’s professional career spans across academia, research, and international collaboration. She is currently a Research Engineer at Excelia Business School Paris and a Lecturer at EM Normandie, where she brings a blend of academic theory and applied finance into the classroom. Her earlier teaching roles include appointments at Université Paris 10 Nanterre, IAE Gustave Eiffel Créteil, Université Lille 1, and several prestigious business schools such as ESLSCA, ISG, and EDC Paris.

Over the years, she has developed and taught a broad portfolio of courses ranging from financial accounting, IFRS, audit, and consolidation, to management control, taxation, and research methodology at both undergraduate and graduate levels, including MBA programs. Her pedagogy is complemented by a strong commitment to mentorship and research supervision, supporting students in thesis writing, applied research, and professional project development.

🔬 Contributions and Research Focus

Dr. Bouebdallah’s research is at the intersection of accounting, sustainability, and digital transformation. She has authored and co-authored numerous papers on topics such as intellectual capital, ESG (Environmental, Social, and Governance) adoption, blockchain technology in auditing, and generative AI in finance and education.

Her upcoming publication in the Asian Review of Accounting (2025) titled “Factors Determining Big Four Auditors’ Intentions to Use Blockchain Technology: A Mixed Approach” demonstrates her pioneering work in exploring how emerging technologies reshape the auditing landscape. Additionally, she has contributed to the British Accounting Review, Financial Innovations, and is preparing chapters for an academic book titled “Innovating Finance for a Sustainable Future” (World Scientific).

Current research projects include:

  • Adoption of Generative AI in Banking and Education

  • Supply Chain Resilience – A Bibliometric Analysis

  • AI, Machine Learning, and Big Data in Trading Systems

🏅 Accolades and Recognition

Dr. Bouebdallah’s academic and research excellence has been consistently recognized. She has:

  • Graduated as Top of her Class in both Bachelor’s and Master’s degrees.

  • Served as an Elected Member of the GRANEM Research Council (2016–2019).

  • Participated in the Scientific Committee of the 41st AFC (Association Francophone de Comptabilité) Congress in Angers.

  • Received multiple international seminar invitations in Brussels, Madrid, Dubai, and online for executive Micro-MBA modules on cost analysis, performance leadership, and financial strategy.

Her role as a peer reviewer for journals such as Journal of Financial Reporting and Accounting, African Development Review, and Journal of Sustainable Finance & Investment further highlights her academic credibility and engagement with global research networks.

🌍 Impact and Influence

Dr. Bouebdallah is widely respected for her interdisciplinary insight, combining accounting fundamentals with emerging technological tools. Her work has influenced both academic communities and professional circles, especially in understanding how technologies like blockchain and AI affect corporate governance, audit practices, and sustainability reporting. She actively contributes to international conferences and collaborative research networks, particularly within the Francophone academic world and the Middle East–North Africa (MENA) region.

Her teachings and research are grounded in real-world relevance, equipping students and professionals to meet the challenges of digital transformation and sustainable finance.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Bouebdallah aims to further explore the interface between ethical governance, digital innovation, and financial accountability. She envisions developing cross-disciplinary curricula, producing high-impact research, and influencing policy and practice in how financial systems adapt to sustainability challenges and technological disruptions. With her ongoing work on AI in education, blockchain-enabled auditing, and ESG data integration, she is poised to shape the next generation of responsible, tech-savvy financial leaders.

Through her dedication to academic rigor, innovative research, and global collaboration, Dr. Najla Bouebdallah continues to build a legacy that bridges tradition with innovation in the fields of accounting, auditing, and responsible finance. 🌟

Publications

Blockchain technology adoption intention among the Big Four audit firms, 2025

 

Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

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Mr. Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Jamia Millia Islamia | India

Author Profile

Google Scholar

Mr. Mohammad Zahid

Junior Research Fellow | Ph.D. Scholar in Computer Science | Cybersecurity & AI Researcher

Summary

Mohammad Zahid is a motivated and research-focused computer science professional currently pursuing a Ph.D. in Computer Science at Jamia Millia Islamia, New Delhi. He is working as a Junior Research Fellow (JRF) with a specialization in IoT security, machine learning, deep learning, and federated learning. With strong analytical and technical skills, he is actively engaged in AI-driven cybersecurity research, aiming to develop intelligent systems for threat detection. Zahid is passionate about contributing to innovative and interdisciplinary projects in both academia and the tech industry.

Education

Mr. Zahid is currently enrolled in a Ph.D. program at Jamia Millia Islamia (Central University), New Delhi, with a research focus in computer science and AI. He holds a Master of Computer Applications (MCA) from Maulana Azad National Urdu University (MANUU), Hyderabad, where he graduated with an excellent academic record (87.6%). He also completed a Bachelor of Science (Hons) in Chemistry, Mathematics, and Physics from Aligarh Muslim University (AMU), Aligarh.

Professional Experience

As a Junior Research Fellow, Mr. Zahid is engaged in cutting-edge research related to cybersecurity and artificial intelligence. During his postgraduate studies, he developed a web-based fraud detection system that utilized machine learning algorithms to identify and visualize suspicious banking transactions. His hands-on experience includes technologies such as Java, MySQL, JavaScript, and HTML/CSS, with a strong foundation in data preprocessing and anomaly detection.

Research Interests

Mr. Zahid’s research interests span across IoT security, federated learning, machine learning, and deep learning. His current Ph.D. research is centered on AI-based cybersecurity frameworks, especially for detecting and mitigating threats in decentralized and IoT-based environments. He is particularly interested in applying federated learning models to preserve data privacy while improving detection efficiency in real-world systems.

Honors and Awards

Mr. Zahid was awarded the UGC Junior Research Fellowship (JRF) in Computer Science by the National Testing Agency (NTA) in March 2022, recognizing him among the top national-level researchers eligible for academic and research roles across Indian universities. He also received the Merit-cum-Means Scholarship for Professional Courses from the Ministry of Minority Affairs, Government of India, during his MCA studies (2018–2021), in acknowledgment of his academic performance and financial need.

Publications

 Empowering IoT Networks

Author: M Zahid, TS Bharati

Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Enhancing Cybersecurity in IoT Systems: A Hybrid Deep Learning Approach for Real-Time Attack Detection

Author: M Zahid, TS Bharati
Journal: Discover Internet of Things, Volume 5(1), Page 73
Year: 2025

 Comprehensive Review of IoT Attack Detection Using Machine Learning and Deep Learning Techniques

Author: M Zahid, TS Bharati
Journal: 2024 Second International Conference on Advanced Computing & Communication
Year: 2024

Empowering IoT Networks: A Study on Machine Learning and Deep Learning for DDoS Attack

Author: M Zahid, TS Bharati
Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Anshika Singh | Predictive Analytics | Best Researcher Award

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Ms. Anshika Singh | Predictive Analytics | Best Researcher Award

IIT BHU | India

Author Profile

Scopus

🧑‍🎓 Summary

Anshika Singh, a final-year B.Tech student in Civil Engineering at IIT (BHU), Varanasi, with a CGPA of 8.76. I am passionate about combining sustainable construction practices with modern technologies like machine learning to improve infrastructure systems. Through diverse internships, research projects, and leadership roles, I have developed strong skills in technical problem-solving, team collaboration, and project execution. My academic journey reflects a commitment to engineering excellence, innovation, and social impact.

🎓 Education

I am currently pursuing a B.Tech in Civil Engineering at IIT (BHU), Varanasi, with an overall CGPA of 8.76 and strong semester performances, including 9.43 in Semester VII. I completed my Class XII from Rani Laxmi Bai Memorial Inter College, UP Board, with 79.40% in 2020, and my Class X from the same school with 89.16% in 2018. My academic background has built a solid foundation in structural mechanics, transportation engineering, and geotechnical engineering.

🏗️ Professional Experience

As an intern at Gammon Engineers & Contractors Pvt. Ltd. under the NHAI project from May to July 2024, I contributed to the Varanasi Ring Road Project, particularly on a 1.47 km segmental bridge. I conducted quality tests such as Slump Cone, Sieve Analysis, and soil testing, while also learning about topographic surveys, well foundations, and pre-stressed concrete construction. This experience strengthened my understanding of on-site construction workflows and quality control systems in large-scale infrastructure.

🔬 Academic Projects

My current undergraduate project, “Leveraging AI for Affordable Pavement Performance Assessment”, involves developing a user-friendly GUI and applying ML models such as Random Forest, Decision Trees, and KNN on a dataset of 1,200 samples to predict pavement properties like CT Index and permanent strain, reducing the need for costly lab testing.
Another project, “Performance Evaluation of Sustainable Concrete”, involved testing 300+ concrete mixes with GGBS and fly ash, achieving up to 40 MPa compressive strength and a 15% reduction in water absorption, promoting eco-friendly alternatives in concrete.
In the project “Land Use/Land Cover Evolution and Forecasting in Jabalpur”, I analyzed 30 years of satellite data using a machine learning model with 98% accuracy, helping forecast future urban expansion for sustainable planning.

🛠️ Technical Skills

My technical toolkit includes AutoCAD, STAAD.Pro, MATLAB, and Python for analysis and design, as well as scikit-learn, pandas, and Tkinter for data analysis and GUI development. I am also proficient in material testing, mix design, and survey techniques, enabling me to connect software tools with real-world engineering applications.

👩‍🏫 Teaching Experience

As a Senior Induction Mentor in the Student Counselling Service, I helped conduct 100+ interviews, trained 25 mentors, and guided 200+ freshmen, creating a welcoming and inclusive environment for new students. I also served as the DUGC Student Representative (2023–24), where I collaborated with faculty to implement curriculum improvements, positively impacting over 800 students and initiating policy reforms for academic betterment.

🔬 Research Interest

My core research interests include sustainable construction materials, transport infrastructure design, and the use of machine learning in civil engineering. I am particularly drawn to AI-driven solutions for pavement evaluation, urban land-use forecasting, and green material innovation, aiming to bridge the gap between traditional engineering and technological advancement.

🏅 Academic Citations & Achievements

I successfully qualified GATE 2024 in Civil Engineering and received an award at the Global Road Construction Conference 2024 in Jaipur for outstanding contribution. Additionally, I was recognized for an impactful poster presentation at the Research and Innovation Day 2024 at IIT (BHU), showcasing my work in AI-integrated pavement analysis.

📖Publications

Data‑driven predictive models for evaluating optimum binder content and volumetric properties of bituminous mixtures using design variables, 2025

Qing Zhang | Innovation in Data Analysis | Best Researcher Award

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Prof. Qing Zhang | Innovation in Data Analysis | Best Researcher Award

Sun Yat-sen University, China

PUBLICATION PROFILE

Orcid

INNOVATOR IN DATA ANALYSIS: PROF. QING ZHANG – SUN YAT-SEN UNIVERSITY, CHINA 📊✨

📘 INTRODUCTION

Prof. Qing Zhang, a distinguished scholar from Sun Yat-sen University in China, is a visionary in the field of data analysis and innovation. Renowned for her methodical approach and pioneering techniques, she has significantly advanced the landscape of data-driven research in China and beyond. Her work represents the fusion of mathematical theory and real-world application, making her an influential figure in today’s digital and data-intensive era.

🎓 EARLY ACADEMIC PURSUITS

Prof. Zhang’s academic journey began with a passion for mathematics and computational science. Her foundational education, marked by excellence and curiosity, paved the way for advanced studies in statistical modeling and data interpretation. She pursued rigorous training at top institutions, developing a robust understanding of both theoretical and applied dimensions of data analysis.

🧑‍🏫 PROFESSIONAL ENDEAVORS

Upon joining Sun Yat-sen University, Prof. Zhang quickly emerged as a leading academic voice in the realms of data science and analytics. As a professor and mentor, she has guided numerous students and research teams, establishing a culture of innovation and critical thinking. Her teaching combines technical depth with practical relevance, inspiring the next generation of data analysts and scientists.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Zhang’s research bridges the gap between algorithmic design and societal needs. Her focus areas include large-scale data mining, predictive analytics, machine learning algorithms, and interdisciplinary data applications. She has contributed to the development of novel methodologies for real-time data processing, high-dimensional statistics, and intelligent systems that address challenges in healthcare, finance, and smart cities.

🌍 IMPACT AND INFLUENCE

Prof. Zhang’s innovations have had wide-reaching effects, not just in academic circles but also in industrial collaborations and government-led data initiatives. Her models and frameworks have been implemented to enhance decision-making processes, improve public health monitoring systems, and support policy formulation with actionable insights. She remains a key contributor to the ongoing digital transformation in China.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

A prolific author, Prof. Zhang has published over 100 peer-reviewed articles in high-impact international journals and conference proceedings. Her work is frequently cited in fields such as artificial intelligence, computational statistics, and systems engineering. She also serves as a reviewer and editorial board member for esteemed journals in data science, reflecting her status as a trusted authority in the field.

🏅 HONORS & AWARDS

Prof. Zhang has received numerous accolades in recognition of her scholarly excellence and innovative contributions. These include national awards for scientific progress, best paper awards from top-tier conferences, and prestigious research grants supporting frontier data science projects. Her leadership is also recognized through invited talks and keynote addresses at major international forums.

🧠 LEGACY AND FUTURE CONTRIBUTIONS

Prof. Zhang’s legacy is defined by her relentless pursuit of knowledge, mentorship, and a commitment to societal advancement through data. She continues to lead cutting-edge research projects while mentoring emerging scholars across China and globally. Looking ahead, she aims to deepen her work in ethical AI, data governance, and sustainable development analytics.

🔔 FINAL NOTE

Prof. Qing Zhang exemplifies excellence in China’s Innovation in Data Analysis. Her academic brilliance, forward-thinking mindset, and tangible impact mark her as a cornerstone in the global data science ecosystem. As the data revolution unfolds, Prof. Zhang stands as a beacon of insight, dedication, and transformation. 🌐💡📈

 📚 TOP NOTES PUBLICATIONS

Title: EGFR‐rich extracellular vesicles derived from highly metastatic nasopharyngeal carcinoma cells accelerate tumour metastasis through PI3K/AKT pathway‐suppressed ROS


Authors: Qing Zhang et al.
Journal: Journal of Extracellular Vesicles
Year: 2020

Title: Dendritic cell biology and its role in tumor immunotherapy

Authors: Qing Zhang et al.
Journal: Journal of Hematology & Oncology
Year: 2020

Title: Melatonin as a Potent and Inducible Endogenous Antioxidant: Synthesis and Metabolism

Authors: Qing Zhang et al.
Journal: Aging-US
Year: 2020

Title: Optimizing Human Epidermal Growth Factor for its Endurance and Specificity Via Directed Evolution: Functional Importance of Leucine at Position 8

Authors: Qing Zhang et al.
Journal: International Journal of Peptide Research and Therapeutics
Year: 2020

Title: Berberine Influences Blood Glucose via Modulating the Gut Microbiome in Grass Carp

Authors: Qing Zhang et al.
Journal: Frontiers in Microbiology
Year: 2019

Shujian Gao | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Shujian Gao | Data Analysis | Best Researcher Award

Ocean University of China | China

PUBLICATION PROFILE

Scopus

🔰INTRODUCTION

ASSOCIATE PROFESSOR DR. SHUJIAN GAO is a dedicated academic and researcher in the field of Ocean Engineering, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. With a passion for advancing offshore engineering through data-driven methods and cutting-edge technologies, Dr. Gao has contributed significantly to both research and education in the marine and oceanic domain.

🎓 EARLY ACADEMIC PURSUITS

DR. GAO BEGAN HIS JOURNEY in academia with an intensive doctoral program at Ocean University of China, where he pursued a Ph.D. in Ocean Engineering from 2018 to 2022. During this time, he honed his expertise in the dynamic behavior of floating structures and laid the foundation for his future contributions in offshore engineering systems and machine learning applications.

💼 PROFESSIONAL ENDEAVORS

FOLLOWING THE COMPLETION of his Ph.D., Dr. Gao continued his career at the Ocean University of China, taking on the role of Lecturer from 2022 to 2024. His dedication and innovative research earned him a promotion in 2024 to Associate Professor, marking a new phase in his academic leadership and mentorship within the university’s engineering faculty.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

DR. GAO’S RESEARCH INTERESTS span a rich blend of engineering and modern computational techniques. His key focus areas include:

  • Machine learning applications for offshore wind turbines,

  • Motion response monitoring and analysis for deep-sea floating structures, and

  • Dynamic coupling analysis methods and the development of digital twins for offshore structures.
    These interests reflect a strong commitment to enhancing the sustainability, reliability, and intelligence of marine systems using modern data and AI-driven methods.

🌍 IMPACT AND INFLUENCE

DR. GAO’S INFLUENCE extends beyond research publications into the broader academic community. Since 2022, he has served on the Editorial Board of Frontiers in Sustainable Resource Management and joined the Early Career Editorial Board of Marine Engineering Equipment and Technology in 2023. His reviewer role for prestigious journals—including Marine Structures, Ocean Engineering, IEEE Access, and Nonlinear Dynamics—reflects his respected standing among peers in the global research arena.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

DR. GAO HAS AUTHORED impactful research papers in top-tier journals. Selected recent publications include:

  1. A method for reconstructing dynamic displacement of floating structures (Communications Engineering, 2025).

  2. Nonlinear effects in floating structure motion responses (Ocean Engineering, 2024).

  3. Dynamic response decomposition for floating structures (Ocean Engineering, 2024).

  4. Field data analysis of nonlinearity in offshore wind turbines (Applied Ocean Research, 2024).
    These works emphasize practical innovations and theoretical advancements in ocean structure behavior analysis, positioning him as a key thought leader in the field.

🏅 HONORS & AWARDS

WHILE SPECIFIC AWARDS were not listed, Dr. Gao’s rapid rise from Ph.D. graduate to Associate Professor and his selection for editorial boards and peer-review roles speak volumes about his reputation and recognition in the academic and engineering communities.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

DR. GAO’S WORK is poised to shape the future of offshore engineering. His interdisciplinary approach—merging AI, sensor data, and marine engineering mechanics—lays the groundwork for next-generation sustainable and resilient offshore structures. As a mentor, editor, and researcher, his continued influence will extend across academia, industry, and policy sectors tackling the challenges of ocean sustainability and renewable energy.

📝 FINAL NOTE

DR. SHUJIAN GAO EMBODIES the spirit of innovation and academic excellence in ocean engineering. From machine learning applications to structural health monitoring of offshore platforms, his dedication continues to inspire students, collaborators, and global researchers. His journey illustrates the evolving nature of marine technology and the critical role of young scholars in navigating the oceans of tomorrow.

📚 TOP NOTES PUBLICATIONS 

Separation and Quantitative Evaluation for the Nonlinear Effects in the Motion Response of Floating Structures

  • Authors: Shujian Gao, Guoning Feng, Dianzi Liu, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

Investigation to the Nonlinearity Evolution of Offshore Wind Turbines Using Field Data: Application to a 4 MW Monopile Offshore Wind Turbine

  • Authors: Shujian Gao, Guoning Feng, Fushun Liu

  • Journal: Applied Ocean Research

  • Year: 2024

Research on Non-Stationary Characteristic Test and Decomposition for Dynamic Response of Floating Structures

  • Authors: Shujian Gao, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

A Motion Tracking Approach to Position Marine Floating Structures Based on Measured Acceleration and Angular Velocity

  • Authors: Fushun Liu, Shujian Gao, Yong Liu, Dianzi Liu

  • Journal: Ocean Engineering

  • Year: 2022

Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

Published on by Research Data Analysis

Prof Dr. Mikhail Zabezhaylo | Data Mining | Worldwide Innovation in Research Analytics Award

Federal Research Center “Informatics and Management” of the Russian Academy of Sciences | Russia

Author Profile

Orcid

Scopus

Early Academic Pursuits 🎓

Mikhail I. Zabezhaylo, born in 1956, graduated from the Moscow Institute of Physics and Technology (MIPT) in 1979, specializing in Applied Mathematics and Artificial Intelligence (AI). Under the guidance of Prof. D.A. Pospelov and Prof. V.K. Finn, he earned his Ph.D. in Mathematical Cybernetics in 1983 at MIPT, marking the beginning of his deep academic foundation in theoretical computer science.

Professional Endeavors 💼

Dr. Zabezhaylo has held significant positions at major scientific institutions in the USSR and Russia, starting with the All-Union Institute of Scientific and Technical Information (VINITI) and later at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS). His career spans roles like Senior Researcher, Associate Professor, and Chief Researcher, and he currently leads the Laboratory “Intelligent Data Analysis”.

Contributions and Research Focus on  Data Mining 🔬

Dr. Zabezhaylo’s research primarily revolves around Artificial Intelligence (AI), data mining, information systems, and decision support systems. He has been involved in high-profile projects with major organizations such as Gazprom, Russian Railroads, and Siemens, focusing on real-world AI applications. His contributions include leading significant R&D projects, like the Skolkovo Foundation’s “Software Defined Networks” mega-grant.

Impact and Influence 🌍

With 180+ scientific publications, Dr. Zabezhaylo has had a major impact on AI and data analysis methodologies, shaping both theoretical and applied computer science. His work is recognized globally, influencing industries, academia, and governmental bodies. His ability to bridge theory and practice has made him a thought leader in AI-powered systems.

Academic Citations 📚

Dr. Zabezhaylo’s work is highly cited, with over 180 publications referenced in major academic journals and conferences. His research on artificial intelligence, decision support systems, and data analysis continues to be a valuable resource for scholars and professionals alike.

Technical Skills 🖥️

Dr. Zabezhaylo is proficient in mathematical modeling, AI, data mining, and decision support systems. His skills extend beyond theory, as he is adept at leading large-scale R&D projects and collaborating with commercial and governmental entities, applying his expertise in real-world solutions.

Teaching Experience 🧑‍🏫

Dr. Zabezhaylo has over 20 years of teaching experience at MIPT, Moscow State University, and other prominent universities. As a professor, he has lectured and conducted seminars on Artificial Intelligence, shaping the future of AI research and training the next generation of AI professionals.

Legacy and Future Contributions 🔮

Dr. Zabezhaylo’s legacy in AI and computer science is firmly established. He continues to lead advancements in data analysis and AI technologies through his work at FRC CSC RAS. His future contributions will likely continue to drive innovation in AI systems and their applications across diverse sectors.

 Notable Publications  📑

On Some Current Myths about Modern Artificial Intelligence

Authors: Zabezhailo, M.I., Mikheyenkova, M.A., Finn, V.K.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On the Problem of Explaining the Results of Intelligent Data Analysis

Authors: Zabezhailo, M.I.

Journal: Pattern Recognition and Image Analysis

Year: 2024

On Some Possibilities of Using AI Methods in the Search for Cause-And-Effect Relationships in Accumulated Empirical Data

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Probabilistic Models for Detection of Causal Relationships in Data Sequences

Authors: Grusho, A., Grusho, N., Zabezhailo, M., Timonina, E.

Journal: Lecture Notes in Networks and Systems

Year: 2024

Statistical Causality Analysis

Authors: Grusho, A.A., Grusho, N.A., Zabezhailo, M.I., Samouylov, K.E., Timonina, E.E.

Journal: Discrete and Continuous Models and Applied Computational Science

Year: 2024

Meiying Wu – Healthcare Data Analysis – Best Researcher Award

Published on by Research Data Analysis

Prof. Meiying Wu - Healthcare Data Analysis - Best Researcher Award

Sun Yat-Sen University - China

Author Profile

Early Academic Pursuits

Prof. Meiying Wu's academic journey commenced at Zhengzhou University, China, where she laid the foundation for her scholarly pursuits. Graduating in 2011, she exhibited a keen interest in pharmaceutical sciences, propelling her towards further academic exploration.

Professional Endeavors

Following her undergraduate studies, Wu pursued doctoral research at the prestigious Shanghai Institute of Silicate Technology, Chinese Academy of Sciences. Her doctoral journey culminated in 2016, marking the beginning of her illustrious career in academia. Subsequently, she undertook a pivotal postdoctoral position at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, refining her expertise in drug delivery systems.

Contributions and Research Focus

As a Professor in the School of Pharmaceutical Sciences at the Shenzhen Campus of Sun Yat-sen University, Wu spearheads groundbreaking research in drug delivery systems, with a specialization in bioactive materials and medical applications. Her research endeavors transcend conventional boundaries, delving into the realms of nano biomaterials and nanomedicine. Wu's pioneering work is characterized by a multidimensional approach, encompassing protein expression, cellular homeostasis, and the intricacies of the tissue microenvironment.

Accolades and Recognition

Prof. Wu's contributions to the field have garnered widespread recognition, as evidenced by her numerous accolades. She has been the recipient of esteemed awards such as the National Excellent Youth Fund, Guangdong Outstanding Youth Fund, and Shenzhen Outstanding Youth Fund. Her exceptional achievements have also been acknowledged through prestigious titles, including Top Young Talents of Science and Technology Innovation of the Guangdong Special Support Program and High-level Professional Talents of Shenzhen.

Impact and Influence

Prof. Wu's research has left an indelible mark on the scientific community, evidenced by her extensive publication record and citation index in reputable journals such as Nat. Commun., J. Am. Chem. Soc., and Adv. Mater. Her innovative approach to drug delivery systems has not only expanded the frontiers of knowledge but also holds promise for addressing critical healthcare challenges.

Legacy and Future Contributions

Looking ahead, Meiying Wu remains steadfast in her commitment to advancing the field of pharmaceutical sciences. Her vision encompasses the translation of fundamental research into tangible solutions, with a focus on improving drug delivery efficacy and therapeutic outcomes. As a mentor and Ph.D. supervisor, she continues to inspire the next generation of researchers, fostering a legacy of innovation and excellence in academia.

In conclusion, Meiying Wu's journey from academia to prominence as a distinguished Professor is characterized by unwavering dedication, groundbreaking research, and a relentless pursuit of scientific excellence. Her contributions resonate across disciplines, shaping the landscape of drug delivery systems and positioning her as a trailblazer in the field of pharmaceutical sciences.

Notable Publication

 

Zlatko Kopecki – Innovation in Data Analysis – Best Researcher Award 

Published on by Research Data Analysis

Dr. Zlatko Kopecki - Innovation in Data Analysis - Best Researcher Award 

University of South Australia - Australia

Author Profile

Early Academic Pursuits

Dr. Zlatko Kopecki's academic journey began with his role as a Technical Officer in Histopathology at Clinpath Laboratories from 2003 to 2005, followed by a position as a Medical Scientist in Histopathology at Adelaide Pathology Partners from 2005 to 2011. During this period, he honed his skills in laboratory medicine, culminating in earning the Terumo Prize for Excellence in Laboratory Medicine with Honours from the University of South Australia (UniSA) in 2007. His dedication to his field was further recognized with a Dean’s Commendation for the quality of his Ph.D. thesis at the University of Adelaide in 2011.

Professional Endeavors

Dr. Kopecki's professional career is marked by several notable appointments. From 2010 to 2012, he served as a Research Officer at the Women’s and Children’s Hospital, where he began to establish his research credentials. His trajectory continued with a National Health and Medical Research Council (NHMRC) Early Career Researcher (ECR) Fellowship at UniSA from 2012 to 2015, during which he also held an honorary research fellowship at Queen Mary University of London. He progressed to the role of Senior Research Fellow at UniSA's Future Industries Institute (FII) from 2015 to 2021. His international engagements included visiting research fellowships at the University of Freiburg (2010), University of Lübeck (2017), and the University of Bath (2020).

Contributions and Research Focus

Dr. Kopecki's research has consistently focused on innovative approaches to wound management and therapy for rare skin diseases, particularly Epidermolysis Bullosa (EB). He has pioneered the development of biofilm-disrupting technologies and stimuli-responsive wound dressings, as well as antimicrobial photodynamic therapy (aPDT). His work also includes the development of antiseptic wound cleansers, medicated hydrogels, and antimicrobial materials for treating infections. His research employs various animal models to answer critical questions about wound infection and skin diseases, contributing significantly to product development and commercialization pathways.

Accolades and Recognition

Dr. Kopecki's contributions to research and patient advocacy have been recognized with numerous awards. Notable among these are the Young Investigator of the Year Award from the Australasian Wound & Tissue Repair Society (AWTRS) in 2016 and the Tall Poppy Award for outstanding scientific achievements in South Australia in 2017. His innovative research has also earned him prestigious grants, including multiple NHMRC Ideas Grants and the Alexander von Humboldt Fellowship for Experienced Researchers (2024-2026).

Impact and Influence

Dr. Kopecki's influence extends beyond his research to impactful patient advocacy. Since 2009, he has been actively involved with DEBRA (an international patient support organization for those affected by EB), where he has held various leadership positions. His efforts have led to significant initiatives, such as the National EB Dressing Scheme in Australia and the In Home Nurse Program, which have greatly improved patient care. His work with DEBRA International during the Ukrainian conflict highlights his commitment to global patient advocacy, providing essential support to EB patients affected by the war.

Legacy and Future Contributions

Dr. Kopecki's legacy is marked by his dedication to improving the lives of those with rare skin diseases through both research and advocacy. His innovative approaches in developing new therapies and his active role in patient support programs have set new standards in the field. Looking forward, Dr. Kopecki aims to continue his pioneering research, focusing on translating his findings into clinical practice to benefit patients worldwide. His ongoing collaborations with industry partners and his involvement in global patient advocacy programs ensure that his work will continue to have a significant impact on the field of wound management and rare skin diseases.

Citations

A total of 1592 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations   1592
  • h-index      24
  • i10-index    42

Notable Publication