Ibrahim SABI YERIMA | Data Analysis | Research Excellence Award

Mr. Ibrahim SABI YERIMA | Data Analysis | Research Excellence Award

University of Abomey-Calavi | Benin

Mr. Sabi Yerima Ibrahim is a dedicated geologist and doctoral researcher at the University of Abomey-Calavi, Benin, specializing in geosciences and mineral exploration. With a Masterโ€™s degree in Applied Geosciences, he has developed strong expertise in geological mapping, mineral and rock identification, granulometric analysis, and mining exploration. He has professional experience as a geologist engineer with ASWAN Mining and Exploration, focusing on gold exploration in northern Benin. Proficient in GIS and geological software, he combines technical skills with field experience. His academic involvement, research contributions, and commitment to environmental and mining studies highlight his growing impact in geosciences.

View Scopus Profile
View Orcid Profile

Featured Publications

Palma Rocchi | Qualitative Research | Women Researcher Award

Prof Dr. Palma Rocchi | Qualitative Research | Women Researcher Award

Inserm ERLU1326 RNANoTHER | France

Dr. Palma Rocchi is a distinguished oncology researcher and Director of the RNAnoTher unit at Inserm in Marseille. With a PhD in Oncology from Aix-Marseille University, she has built an exceptional career in cancer research, particularly in prostate cancer and mRNA-based therapeutics. Author of over 120 publications and holder of 17 patents, her work has garnered significant global recognition with a high citation impact. Dr. Rocchi has led numerous funded projects, founded a biotech startup, and supervised extensive academic research, demonstrating excellence in innovation, leadership, and translational medicine.

Citation Metrics (Scopus)

10000
5000
1000
100
0

Citations
6,343

Documents
94

h-index
46

Citations

Documents

h-index


View Scopus Profile
View Orcid Profile
View Google Scholar Profile

Featured Publications

Xueye Chen | Regression analysis | Research Excellence Award

Prof. Xueye Chen | Regression analysis | Research Excellence Award

Ludong University | China

Professor Xueye Chen is a distinguished academic at Ludong University, serving as a permanent Professor in the College of Transportation since March. With a doctoral degree and over 11 years of professional experience, his expertise lies in MEMS, with a strong research focus on microfluidics and flexible intelligent sensing systems. He has authored 174 high-impact journal publications in leading outlets such as Physics of Fluids, Chemical Engineering Journal, and ACS Applied Materials & Interfaces. His research spans wearable technologies, healthcare, and modern agriculture, emphasizing micro-nano manufacturing and advanced sensing applications. Recognized for his excellence, he has led multiple funded projects and holds several patents, contributing significantly to innovation in intelligent systems and health monitoring.

Citation Metrics (Scopus)

5000
3500
2500
1500
0

Citations
4,747

Documents
219

h-index
39

Citations

Documents

h-index


View Scopus Profile

Featured Publications

David Adedokun | Descriptive Analytics | Research Excellence Award

Dr. David Adedokun | Descriptive Analytics | Research Excellence Award

Fidson Healthcare PLC | Nigeria

Dr. David Adeoye Adedokun is a multidisciplinary researcher and public health professional with a strong foundation in veterinary medicine, molecular biology, and infectious disease research. He holds an MPhil in Molecular Cell Biology of Infectious Diseases from the University of Ghana and has conducted advanced research at Stellenbosch University, focusing on HIV-related cardiometabolic disorders and mitochondrial dysfunction in African populations. With hands-on expertise in molecular diagnostics, bioinformatics, and disease surveillance, he has contributed to vaccine production and genomic research initiatives. Currently serving as a Medical Representative at Fidson Healthcare Plc, he bridges science and industry through evidence-based clinical engagement, promoting improved healthcare outcomes and pharmaceutical innovation across Nigeria.

Citation Metrics (Scopus)

30
20
10
5
0

Citations
6

Documents
2

h-index
1

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

Mr. Christopher Darr | Statistical Analysis | International Data Mastery Achievement Award

Clinic for Urology, University Medicine Essen | Germany

Mr.Christopher Darr is a German board-certified urologist and Privatdozent at the Clinic and Polyclinic for Urology, Pediatric Urology and Uro-Oncology at University Hospital Essen. After completing his medical studies at the University of Duisburg-Essen and obtaining his medical license, he pursued specialist training and an academic career in urology, becoming a consultant urologist and later senior consultant. He earned his doctorate with distinction (cum laude) and completed his habilitation, receiving the venia legendi in urology, with a research focus on molecular intraoperative diagnostics in high-risk prostate cancer. Dr. Darr holds key leadership roles in certified prostate and kidney cancer centers, contributes to national clinical guidelines, and serves as a reviewer for leading international oncology and urology journals.

Citation Metrics (Scopus)

2000
1000
500
100
0

Citations
965

Documents
75

h-index
15

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Fathalla Rihan | Statistical Analysis | Best Scholar Award

Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

Publication Profile

Orcid

Scopus

Google scholar

Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences ๐Ÿ“šโœจ

Current Position(s) & Employment History ๐Ÿซ

  • Professor of Mathematics (2017โ€“present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE ๐Ÿ‡ฆ๐Ÿ‡ช
  • Professor of Mathematics (2011โ€“present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt ๐Ÿ‡ช๐Ÿ‡ฌ
  • Associate Professor (2012โ€“2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008โ€“2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005โ€“2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000โ€“2010)
    School of Mathematics, University of Manchester, UK ๐Ÿ‡ฌ๐Ÿ‡ง
  • Assistant Professor (2000โ€“2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003โ€“2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001โ€“2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996โ€“2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992โ€“1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987โ€“1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education ๐ŸŽ“

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interestsย  On Statistical Analysis๐Ÿ”ฌ

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects ๐Ÿ“Š

  • 2024โ€“2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022โ€“2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021โ€“2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017โ€“2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition ๐Ÿ†

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021โ€“present)
  • Top 2% World Scientist (Stanford University 2019โ€“2022)
  • University Excellence Merit Allowance (2019โ€“2020)
  • College Excellence Award for Service (2019โ€“2020)
  • Distinguished Research Awards (2017โ€“2019)
  • College Award for Scholarly Research (2014โ€“2015)

Visitor ships ๐ŸŒ

  • Research Visitor (2000โ€“2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003โ€“2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 ๐Ÿ—“๏ธ
Modeling Hybrid Crossover Dynamics of Immunoโ€Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. ALโ€Mekhlafi, Fathala A. Rihan, Hannah A. Alโ€Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 ๐Ÿ—“๏ธ
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 ๐Ÿ—“๏ธ
Continuous Rungeโ€“Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 ๐Ÿ—“๏ธ
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 ๐Ÿ—“๏ธ

 

Xianguang Guo | Data Visualization | Best Researcher Award

Dr. Xianguang Guo | Data Visualization | Best Researcher Award

Chengdu Institute of Biology, Chinese Academy of Sciences, China

Publication Profile

Orcid

๐Ÿ“ Summary

Dr. Xianguang Guo is an Associate Professor at the Chengdu Institute of Biology, Chinese Academy of Sciences, specializing in molecular phylogenetics, biogeography, and evolution. His research primarily focuses on reconstructing evolutionary relationships in reptiles, particularly the racerunner Eremias and toad-headed agama Phrynocephalus in arid Central Asia.

๐ŸŽ“ Education

  • Ph.D. in Hydrobiology, Institute of Hydrobiology, Chinese Academy of Sciences (2006). Dissertation: “Molecular phylogenetics and biogeography of Otocephala fish based on multi-nuclear genes.”
  • M.Sc. in Zoology, Southwest China Normal University (2003). Thesis: “Molecular phylogeny of sisorid catfishes and species validity of genus Euchiloglanis in China.”
  • B.Sc. in Zoology, Lanzhou University (1995). Thesis: “Seasonal variations of blood visible components in Eremias multiocellata.”

๐Ÿ’ผ Professional Experience

  • Associate Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2009โ€“Present).
  • Assistant Professor, Chengdu Institute of Biology, Chinese Academy of Sciences (2006โ€“2009).

๐Ÿ“š Research Interests onย 

Dr. Guo’s main research interests include molecular phylogenetics, biogeography, and evolution. He focuses on reconstructing evolutionary relationships, especially in the Eremias and Phrynocephalus species, using molecular datasets. His studies contribute to understanding the evolutionary history and diversification of these reptiles in arid regions of Central Asia.

๐Ÿ–ฅ๏ธ Technical Skills

  • Expertise in molecular techniques like DNA sequencing and phylogenetic analysis.
  • Proficient in using bioinformatics tools for data analysis and evolutionary studies.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

Dr. Guo has taught various graduate and undergraduate courses related to zoology, molecular biology, and evolutionary studies at the Chengdu Institute of Biology, fostering academic growth and research skills in students.

๐Ÿ”ฌ Academic Contributions

He has led numerous research projects funded by the National Natural Science Foundation of China (NSFC), focusing on the phylogenetics and molecular basis of species adaptation in arid environments. Dr. Guo has also contributed to international collaborations on the phylogeography and genetic differentiation of reptile species in Central Asia.

๐ŸŒ Research Projects

Dr. Guoโ€™s projects include studying the biodiversity and evolutionary patterns of amphibians and reptiles, with an emphasis on the diversity of Eremias and Phrynocephalus in Central Asiaโ€™s harsh ecosystems. His work aims to uncover the molecular mechanisms underlying species adaptation and the impact of desertification on biodiversity.

Publication Top Notes

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghaiโ€“Tibet Plateau, with Particular Attention to the Northern Slope of the Kunlunโ€“Arjin Mountains

๐Ÿ“‘ Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
๐Ÿ“ฐ Journal: Animals
๐Ÿ“… Year: 2025

Lineage Diversification and Population Dynamics of the Qinghai Toad-Headed Agama (Phrynocephalus vlangalii) on the Qinghai-Tibetan Plateau (Preprint)

๐Ÿ“‘ Authors: Rui Xu, Qi Song, Dali Chen, Xianguang Guo
๐Ÿ“ฐ Journal: Preprint
๐Ÿ“… Year: 2024

Range-Wide Phylogeography and Ecological Niche Modeling Provide Insights into the Evolutionary History of the Mongolian Racerunner (Eremias argus) in Northeast Asia

๐Ÿ“‘ Authors: Lili Tian, Rui Xu, Dali Chen, Natalia B. Ananjeva, Rafe M. Brown, Mi-Sook Min, Bo Cai, Byambasuren Mijidsuren, Bin Zhang, Xianguang Guo
๐Ÿ“ฐ Journal: Animals
๐Ÿ“… Year: 2024

Genetic Structure and Population History of the Zaisan Toad-Headed Agama (Phrynocephalus melanurus) Inferred from Mitochondrial DNA

๐Ÿ“‘ Authors: Daniya Ualiyeva, Jinlong Liu, Tatjana Dujsebayeva, Jun Li, Lili Tian, Bo Cai, Xiaomao Zeng, Xianguang Guo
๐Ÿ“ฐ Journal: Animals
๐Ÿ“… Year: 2024

Phylogeography and Ecological Niche Modeling of the Alashan Pit Viper (Gloydius cognatus; Reptilia, Viperidae) in Northwest China and Adjacent Areas

๐Ÿ“‘ Authors: Rui Xu, Tatjana N. Dujsebayeva, Dali Chen, Byambasuren Mijidsuren, Feng Xu, Xianguang Guo
๐Ÿ“ฐ Journal: Animals
๐Ÿ“… Year: 2023

Marรญa Ortiz de Zรบรฑiga | Data Analysis | Best Researcher Award

Mrs. Marรญa Ortiz de Zรบรฑiga | Data Analysis | Best Researcher Award

Mrs. Marรญa Ortiz de Zรบรฑiga, UNED and Fusion for Energy, Spain

Publication Profile

Orcid
Google Scholar

๐ŸŒŸ Summary

Mrs. Marรญa Ortiz de Zรบรฑiga With over 17 years of experience in Fusion for Energy, I have contributed to various complex, multidisciplinary projects such as the ITER program, leading and managing teams, technical contracts, and large-scale nuclear mechanical systems. My expertise spans across engineering disciplines, including mechanical and computer engineering, and I hold two Master’s degrees in Mechanical Engineering and Computer Engineering. I specialize in project management, leadership, and AI for engineering development, focusing on driving innovation in advanced manufacturing technologies, nuclear safety, and stakeholder management.

๐ŸŽ“ Education

  • Philosopher’s Degree (PhD) in Industrial Technologies
    Universidad Nacional de Educaciรณn a Distancia – UNED (2021โ€“Present)
  • Master of Engineering in Mechanical Engineering in Advanced Manufacturing Technologies
    Universidad Nacional de Educaciรณn a Distancia – UNED (2017โ€“2021)
  • Master of Engineering in Computer Engineering
    Universidad Pontificia de Comillas – ICAI (2002โ€“2007)

๐Ÿ’ผ Professional Experience

  • Senior Technical Officer, Fusion for Energy (2022โ€“Present)
    Leading AI for engineering developments in the ITER project, responsible for managing expert contracts and representing F4E in the RCC-MRx nuclear code subcommittee.
  • Deputy Program Manager, Antennas Programme for ITER (2021โ€“2022)
    Managed the design, procurement, and manufacturing of the Electron Cyclotron Antenna, including stakeholder and contract management.
  • Project Manager, ITER Vacuum Vessel Sectors (2019โ€“2021)
    Oversaw the manufacturing of the last 3 European Vacuum Vessel sectors, managing financial, administrative, and technical contract responsibilities.
  • Technical Project Coordinator, ITER Vacuum Vessel (2016โ€“2019)
    Led a team managing technical data, project contracts, and the supply chain for the Vacuum Vessel’s nuclear mechanical systems.
  • Planning Officer, Fusion for Energy (2007โ€“2015)
    Managed planning and scheduling for ITER-related projects, supported risk management, and developed procurement schedules.

๐Ÿ“ Academic Citations

  • Co-chair, Artificial Intelligence Track (CT-19) at ASME-PVP
  • Reviewer at international conferences like SMiRT, ITU, and IAEA
  • Published research on AI in manufacturing and engineering processes for ITER components.

๐Ÿ’ป Technical Skills

  • Engineering Software: Proficient in CAD systems, Primavera, Enovia Smarteam PLM, and AI tools for engineering applications.
  • Project Management: Skilled in planning, scheduling, risk management, earned value management, and contract negotiations.
  • Nuclear Safety: Experienced in working with the RCC-MRx code, nuclear safety audits, and quality control for nuclear-related projects.
  • Languages: Fluent in up to 6 European languages.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

  • Co-led the Artificial Intelligence Community within Fusion for Energy to raise awareness and promote AI usage in engineering projects.
  • Actively contributed to Diversity, Equity, and Inclusion initiatives within F4E, supporting training and workshops on these topics.

๐Ÿ”ฌ Research Interests On Data Analysis

  • Artificial Intelligence for manufacturing optimizations in nuclear components.
  • Data Analysis in high-tech engineering, focusing on predictive models for welding success, ultrasonic testing, and superconducting magnets.
  • Development and integration of advanced manufacturing technologies into nuclear engineering systems.

Publication Top Notes

Project management techniques used in the European Vacuum Vessel sectors procurement for ITER

๐Ÿ“‘ Authors: M Losasso, MO de Zuniga, L Jones, A Bayon, JF Arbogast, J Caixas, …
๐Ÿ“ฐ Journal: Fusion Engineering and Design
๐Ÿ“… Year: 2012

Artificial Intelligence for the Output Processing of Phased-Array Ultrasonic Test Applied to Materials Defects Detection in the ITER Vacuum Vessel Welding Operations

๐Ÿ“‘ Authors: M Ortiz de Zuniga, N Prinja, C Casanova, A Dans Alvarez de Sotomayor, …
๐Ÿ“ฐ Journal: Pressure Vessels and Piping Conference
๐Ÿ“… Year: 2022

Artificial Intelligence for quality control in manufacturing applied to materials defects detection in the ITER Vacuum Vessel welding operations

๐Ÿ“‘ Authors: MO de Zรบรฑiga Lรณpez-Chicheri, M Febvre, ADA de Sotomayor, N Prinja, …
๐Ÿ“ฐ Journal: IASMiRT
๐Ÿ“… Year: 2022

 

Williams E. Nwagwu | Data Visualisation | Best Researcher Award

Prof. Williams E. Nwagwu l Data Visualisationย | Best Researcher Award

University of Ibadam, Nigeria

Author Profile

Orcid

๐ŸŒ Prof. Williams E. Nwagwu: Championing Informetrics and Science Communication for Africa’s Growth ๐Ÿš€

Prof. Williams E. Nwagwu is a distinguished Nigerian scholar, professor, and pioneer in informetrics and science communication, with a career dedicated to advancing Africaโ€™s scientific visibility and research excellence.

๐ŸŽ“ Academic Foundation and Education

Prof. Nwagwuโ€™s academic journey began with a Bachelorโ€™s degree in Statistics from Imo State University, where he developed a solid foundation in quantitative analysis. He pursued his Masterโ€™s and PhD at the University of Ibadan, Nigeriaโ€™s premier institution, cementing his expertise in information science and research methodologies.

๐Ÿ“ˆ Career Path and Global Contributions

His professional career launched at Nigeriaโ€™s Federal Ministry of Health as a statistician before transitioning to academia, where he joined the Africa Regional Centre for Information Science (now the Department of Data and Information Science) at the University of Ibadan.

  • Academic Leadership: Prof. Nwagwu has supervised over 120 Masterโ€™s and PhD students across Nigeria and internationally.
  • Research Excellence: With 109 publications in Web of Science-indexed journals, he is a leading voice in African informetrics and open access.
  • Global Engagement: He has presented at 30+ international conferences across 28 countries, fostering cross-border academic collaborations.
  • Innovative Projects: As a key contributor to the Microsoft Local Language Programme, he facilitated the inclusion of Igbo in Windows Vista 2007.

๐Ÿ“š Notable Roles and Recognitions

  • Council for the Development of Social Science Research in Africa (CODESRIA): Prof. Nwagwu was instrumental in establishing the African Citation Index and drafting the Dakar Declaration on Open Access to Knowledge in Africa, earning recognition from Web of Science.
  • Publications and Editorial Work: His scholarly work spans high-impact journals and influential book chapters, significantly contributing to African research visibility.

๐ŸŒŸ Personal Values and Vision

A staunch advocate for fairness, inclusivity, and respect across cultural and religious divides, Prof. Nwagwuโ€™s personal ethos aligns with his professional goals of creating equitable access to knowledge.

๐Ÿ”ฌ Current Research and Future Goals On Data Visualisation

Prof. Nwagwuโ€™s latest research, “Harnessing the Opportunities of 4IR Technologies for Advancing Research Excellence in Africa,” explores how Fourth Industrial Revolution (4IR) technologies can elevate Africaโ€™s scientific landscape. His vision is to empower African researchers and institutions to achieve global prominence and influence.

๐ŸŒ A Legacy of Empowerment

With an unwavering commitment to Africaโ€™s advancement, Prof. Williams E. Nwagwu continues to pave the way for a future where science, technology, and research drive sustainable development and global recognition for the continent.

๐Ÿ“– Top Noted Publications
  • Datafication Research (1994โ€“2023): Three Decades of Evolving Methodology in Data Science
    • Authors: Williams Ezinwa Nwagwu
    • Journal: Topoi
    • Year: 2025
  • Visualization and mapping of global eHealth research based on keywords
    • Authors: Williams E. Nwagwu
    • Journal: Global Knowledge, Memory and Communication
    • Year: 2024
  • Bibliometric visualisation of student knowledge and skills in key literacy domains
    • Authors: Williams E. Nwagwu
    • Journal: Educational Dimension
    • Year: 2024
  • Influence of social media on the uptake of emerging musicians and entertainment events
    • Authors: Williams E. Nwagwu, Ayobola Akintoye
    • Journal: Information Development
    • Year: 2024
  • Information seeking behaviour of informal caregivers at the premier tertiary teaching hospital in Nigeria
    • Authors: Williams Ezinwa Nwagwu, Helen Adedolapo Akanji
    • Journal: Information Development
    • Year: 2024
  • Mapping the field of global research on data literacy: Key and emerging issues and the library connection
    • Authors: Williams E. Nwagwu
    • Journal: IFLA Journal
    • Year: 2024
  • Innovative culture, innovative behaviour, social capital and performance of small and medium ICT enterprises in Lagos, Nigeria
    • Authors: Stanley Ejike Ibeku, Williams Ezinwa Nwagwu
    • Journal: Information Development
    • Year: 2024
  • Citation Analysis of Global Research on Data Literacy
    • Authors: Williams Ezinwa Nwagwu
    • Journal: Preprint
    • Year: 2024
  • Adoption and use of MOOCs by undergraduates in selected universities in Ibadan, Nigeria
    • Authors: Goodness Johanna Otitoju, Williams Ezinwa Nwagwu
    • Journal: Educational Technology Quarterly
    • Year: 2024

Aleksey Tashkinov | Educational Data Analysis | Best Researcher Award

Mr. Aleksey Tashkinov l Educational Data Analysis | Best Researcher Award

Perm National Research Polytechnic University, Russia

Author Profile

Google Scholar

Early Academic Pursuits ๐ŸŽ“

Mr. Tashkinov Aleksey began his academic journey with a strong foundation in economic sciences, ultimately earning his designation as a Candidate of Economic Sciences. His early academic pursuits focused on developing theoretical models and conceptual approaches to economic systems, particularly in production management and organizational change in the digital era. This initial exploration laid the groundwork for his ongoing contributions to the academic field, with a focus on integrating traditional economic concepts with emerging technological advancements like digital transformation and lean manufacturing.

Professional Endeavors ๐Ÿ’ผ

As an Associate Professor at Perm National Research Polytechnic University, Mr. Tashkinov has demonstrated his professional expertise through teaching and research. His role extends beyond just academia, having been directly involved in consultancy and industry projects that bridge the gap between theoretical knowledge and real-world application. His experience in the implementation of lean methodologies, digital production systems, and project management techniques has been pivotal in shaping the strategies of numerous enterprises in the industrial sector, particularly in the context of digital transformation.

Contributions and Research Focus ๐Ÿ”

Mr. Tashkinov’s research focus is centered around enterprise management, lean manufacturing, and the economics of digital transformation. He explores how industries can adapt to modern challenges through the implementation of Industry 4.0 principles and digital tools. His work on digital transformation strategies, quality systems, and active manufacturing systems is of particular significance in understanding how enterprises can thrive in a rapidly changing technological landscape. Through his collaborative efforts with students, faculty, and industry leaders, he continues to make notable contributions to the academic community and beyond.

Impact and Influence ๐ŸŒ

Mr. Tashkinovโ€™s contributions have a wide-reaching impact on both academic theory and industrial practice. His research on lean manufacturing and digital production has influenced the strategies adopted by many enterprises, helping them transition to more efficient, innovative, and sustainable business models. By providing actionable insights into the integration of digital tools and manufacturing technologies, he has positively affected the operational efficiency and management practices within a variety of industries.

Academic Cites ๐Ÿ“š

With a Hirsch index of 7, Mr. Tashkinov’s work has been cited extensively in academic journals and industry publications. His notable papers on the role of artificial intelligence in lean manufacturing, the development of digital strategies for industrial enterprises, and the transformation of production management systems highlight his academic impact. His published works in leading journals like Discover Artificial Intelligence and International Journal of Management Trends underscore the significance of his research in the evolving field of industrial economics and management.

Technical Skills โš™๏ธ

Mr. Tashkinov has honed an impressive array of technical skills that complement his academic expertise. He is proficient in digital manufacturing, lean technologies, and project management tools that are vital in guiding enterprises through digital transformation. His knowledge extends to cutting-edge technologies such as artificial intelligence and virtual reality, which he integrates into real-world management solutions. These technical skills are essential for his work in academia, consultancy, and industry projects, where he leads initiatives aimed at enhancing operational efficiency through digital means.

Teaching Experience ๐Ÿ‘จโ€๐Ÿซ

With years of teaching experience, Mr. Tashkinov has become a key educator at Perm National Research Polytechnic University. He plays an integral role in mentoring students, helping them develop the skills and critical thinking necessary for success in the field of economics and industrial management. His pedagogical approach is rooted in practical experience, often involving students in real-world projects and case studies to provide them with a comprehensive understanding of the challenges and opportunities in digital transformation and enterprise management.

Legacy and Future Contributions ๐ŸŒฑ

As an academic and researcher, Mr. Tashkinov is committed to leaving a lasting legacy in the fields of economics and industrial production management. His future contributions will likely focus on the further integration of digital tools in enterprise management, especially as industries continue to evolve in response to digital transformation. He envisions a future where his work continues to inspire the next generation of researchers, practitioners, and industry leaders to explore new ways to enhance productivity, innovation, and sustainability in industrial settings.

Collaboration and Industry Engagement ๐Ÿค

Mr. Tashkinov is dedicated to fostering collaborations with both academic peers and industry leaders. His research is highly collaborative, with numerous joint projects involving students, faculty, and professionals from diverse sectors. These collaborations are critical to ensuring that his research addresses real-world challenges and remains relevant to current industry needs. His active engagement with the industrial sector also provides valuable opportunities for knowledge transfer, ensuring that the latest research findings are effectively applied to improve operational performance.

Professional Memberships and Recognition ๐Ÿ…

Mr. Tashkinov’s professional standing is further bolstered by his membership in several prestigious academic and professional organizations related to economics, industrial production, and digital transformation. These memberships provide him with access to a global network of experts and a platform to share his research with an international audience. His contributions have been recognized by various academic and industry bodies, affirming his reputation as a leader in his field.

Top Noted Publications ๐Ÿ“–

Theoretical and methodological foundations of the process approach to management in an industrial enterprise
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2014
Strategically Oriented Budgeting in an Industrial Enterprise: A Methodological Approach
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm University. Series: Economics
    • Year: 2013
The Impact of Integrated Lean Manufacturing Implementation on the Efficiency of Enterprise Production System Development
    • Authors: AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2022
Change management mechanism in the development of production systems
    • Authors: VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2015
Development of a methodology for assessing the effectiveness of projects for developing an enterprise production system within the framework of an integrated management technology
    • Authors: NB Akatov, VL Popov, AG Tashkinov
    • Journal: Economics and Entrepreneurship
    • Year: 2016
Improving the mechanism of industrial enterprise management
    • Authors: VL Popov, AG Tashkinov
    • Journal: Bulletin of Perm National Research Polytechnic University
    • Year: 2016