Awele Okolie | Artificial Intelligence | Research Excellence Award

Published on by Scientific World Research Awards

Ms. Awele Okolie | Artificial Intelligence | Research Excellence Award

Data Analyst Intern | Wentworth Institute of Technology | United States

Ms. Awele Okolie is an emerging researcher in Machine Learning and Artificial Intelligence, with a strong focus on socially impactful, data-driven research. Her work spans food insecurity prediction, financial fraud detection, healthcare analytics, traffic safety modeling, and explainable AI, demonstrating applied innovation across public policy and safety-critical domains. Her research interests include predictive modeling, explainable machine learning, spatiotemporal analysis, and AI-driven decision systems, supported by skills in data analytics, statistical modeling, and real-world dataset integration. Her scholarly contributions show growing recognition, with Google Scholar metrics of 41 citations, 14 documents, and an h-index of 5, while Scopus citations, documents, and h-index are not provided. Overall, her work reflects a strong commitment to transparent, ethical, and high-impact artificial intelligence research.

 

Citation Metrics (Google Scholar)

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41

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14

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5

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Featured Publications


Predicting food insecurity across US census tracts: A machine learning analysis using the USDA Food Access Research Atlas

– International Journal of Science and Research Archive, 17(2), 1156-1172, 2025 (Citations: 11)


An Explainable XGBoost Framework for Detecting Fraudulent Financial Transactions

– Journal of Scientific Research and Reports, 31(12), 244-255, 2025 (Citations: 6)


Spatiotemporal analysis and predictive modeling of traffic accidents in Boston: Insights for advancing Vision Zero initiatives

– International Journal of Science and Research Archive, 17(1), 528-543, 2025 (Citations: 6)


Machine learning approaches for predicting 30-day hospital readmissions: Evidence from Massachusetts healthcare data

– World Journal of Advanced Research and Reviews, 28(1), 1-12, 2025 (Citations: 6)

 

Munish Kumar | Computer Science | Research Excellence Award

Published on by Scientific World Research Awards

Dr. Munish Kumar | Computer Science | Research Excellence Award

Associate Professor | Maharaja Ranjit Singh Punjab Technical University | India

Dr. Munish Kumar is a distinguished researcher in artificial intelligence, machine learning, deep learning, and computer vision, with a strong focus on real-world applications in forensic document analysis, speech and language processing, intelligent transportation systems, multimedia analytics, and smart surveillance. His research interests include handwriting and writer identification, document forgery detection, facial emotion recognition, human activity and gait analysis, speech recognition, and transfer learning–based lightweight AI models. He possesses advanced research skills in CNNs, hybrid CNN-BLSTM architectures, support vector machines, feature extraction, pattern recognition, data analytics, and AI-driven image and signal processing. His impactful contributions have earned him academic recognition through high citation impact and consistent publication in reputed international journals and conferences, reflecting significant awards and honors through scholarly influence. According to Scopus, Dr. Kumar has published 182 documents, received 7,393 citations, and achieved an h-index of 43, underscoring his sustained research excellence, global visibility, and leadership in advancing intelligent and forensic AI systems across interdisciplinary domains.

 

Citation Metrics (Scopus)

7393
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7,393

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182

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43

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Featured Publications


A survey of deep learning and its applications: A new paradigm to machine learning


– Archives of Computational Methods in Engineering, 2020 (Citations: 1530)


Face detection techniques: a review


– Artificial Intelligence Review, 2019 (Citations: 587)


Transfer learning for image classification using VGG19: Caltech-101 image data set


– Journal of Ambient Intelligence and Humanized Computing, 2023 (Citations: 457)


A healthcare monitoring system using random forest and internet of things (IoT)


– Multimedia Tools and Applications, 2019 (Citations: 389)

 

Krystyna Pyrzynska | Chemistry | Best Researcher Award

Published on by Scientific World Research Awards

Prof. Krystyna Pyrzynska | Chemistry | Best Researcher Award

Professor | Faculty of Chemistry University of Warsaw | Poland

Prof. Krystyna Pyrzyńska is an internationally recognized scientist whose research spans analytical chemistry, environmental chemistry, food chemistry, and nanomaterials, with a strong emphasis on trace element speciation, particularly selenium and chromium, and their roles in human health and environmental systems. Her research interests include nanomaterials and functionalized sorbents for metal ion enrichment and removal, selenium nanoparticles, bioactive compounds from plant and food by-products, and photocatalytic degradation of pharmaceutical contaminants. She possesses advanced research skills in elemental speciation analysis, chromatographic and spectrometric techniques, nanomaterial synthesis and characterization, environmental monitoring, and food quality assessment. Prof. Pyrzyńska’s scientific excellence is reflected in numerous academic awards, honors, and sustained recognition through high-impact publications and invited reviews in leading journals. According to Scopus, she has authored 203 documents, accumulated 10,758 citations, and achieved an outstanding h-index of 52, highlighting her influential and enduring contributions to chemical, environmental, and sustainability-driven research.

 

Citation Metrics (Scopus)

10,758
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10,758

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52

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Daniel Akerele | Civil Engineering | Distinguished Scientist Award

Published on by Scientific World Research Awards

Mr. Daniel Akerele | Civil Engineering | Distinguished Scientist Award

Research Scientist | University of Washington | United States

Mr. Daniel Akerele is an emerging researcher in sustainable construction materials, concrete technology, pavement engineering, and environmental sustainability, with a strong emphasis on alternative cementitious materials and low-carbon infrastructure solutions. His research interests include calcium sulphoaluminate (CSA) concrete, Portland limestone cement, rapid-set and self-healing concrete, corrosion resistance, geotechnical stabilization, and water quality assessment, addressing durability and sustainability challenges in modern infrastructure. He demonstrates solid research skills in experimental material characterization, durability and performance evaluation, environmental impact analysis, and data-driven assessment of construction materials. His scholarly contributions have earned academic recognition through peer-reviewed publications, collaborative research, and growing research visibility, reflecting his awards and honors through research impact. His research output includes 14 published documents, 36 citations, an h-index of 4, and an i10-index of 2, indicating steady scientific influence. In conclusion, his work contributes meaningfully to resilient, sustainable, and environmentally responsible construction practices.

 

Citation Metrics (Google Scholar)

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36

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14

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4

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Featured Publications

 

Bakhytzhan Lesbayev | Physics | Research Excellence Award

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Prof. Bakhytzhan Lesbayev | Physics | Research Excellence Award

Head of the Laboratory | Al-Farabi Kazakh National University | Kazakhstan

Prof. Bakhytzhan Lesbayev is a prominent researcher in nanotechnology and nanocarbon materials, specializing in flame synthesis, biomass-derived porous carbon, graphene, graphene oxide, and carbon nanotube–based functional materials. His research interests include electrochemical energy storage, supercapacitors, hydrogen storage, catalytic combustion, VOC adsorption, petrochemical processes, and sustainable nanomaterials for environmental and energy applications. He demonstrates strong research skills in combustion-assisted nanomaterial synthesis, carbon surface engineering, electrochemical and adsorption characterization, and performance optimization of carbon-based electrodes. Prof. Lesbayev has received academic recognition through impactful publications, international collaborations, and contributions to high-quality peer-reviewed journals, representing his awards and honors through scholarly excellence. According to Google Scholar, his research has accumulated 608 total citations, with an h-index of 13  and an i10-index of 21. In conclusion, his work significantly advances scalable and sustainable nanocarbon technologies for energy, environmental, and industrial innovation.

 

Citation Metrics (Google Scholar)

608
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608

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21

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13

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Featured Publications

Kuikun Yang | Nanotechnology | Research Excellence Award

Published on by Scientific World Research Awards

Prof. Dr. Kuikun Yang | Nanotechnology | Research Excellence Award

Professor | Harbin Institute of Technology | China

Prof. Dr. Kuikun Yang is a distinguished researcher at Harbin Institute of Technology whose work centers on nanomedicine, biomedical nanomaterials, and advanced therapeutic platforms. His research interests include MOF-based nanocomposites, quantum dot–functional materials, lipid nanoparticles for mRNA delivery, supramolecular polymers, ROS-responsive systems, photothermal therapy, ferroptosis, and synergistic cancer treatments. He possesses strong research skills in nanomaterial design, stimuli-responsive drug delivery, tumor microenvironment modulation, translational nanotechnology, and interdisciplinary integration of chemistry, materials science, and biomedicine. Prof. Yang has received academic recognition and research honors through high-impact publications, invited reviews, and leadership in collaborative international research. According to Scopus, he has authored 41 documents, accumulated 2,706 citations, and achieved an h-index of 26, demonstrating sustained scholarly impact. In conclusion, Prof. Dr. Kuikun Yang’s innovative contributions continue to advance precision oncology and next-generation nanotherapeutic strategies with strong translational potential.

 

Citation Metrics (Scopus)

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41

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26

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Featured Publications

 

MD Shouquat Hossain | Electrical and Electronics Engineering

Published on by Scientific World Research Awards

Assoc. Prof. Dr. MD Shouquat Hossain | Electrical and Electronics Engineering

Associate Professor | International University of Business Agriculture and Technology | Bangladesh

Assoc. Prof. Dr. MD Shouquat Hossain is a recognized researcher in renewable energy engineering and sustainable energy systems, with a strong focus on applied solutions for energy efficiency and climate resilience. His research interests include solar photovoltaic and photovoltaic–thermal systems, hybrid renewable energy systems, energy modeling and optimization, low-cost energy monitoring technologies, phase change materials, and water–energy–carbon nexus analysis in energy-stressed regions. He possesses advanced research skills in system design, experimental performance evaluation, techno-economic and environmental analysis, energy data acquisition, and sustainability assessment for real-world applications. His work contributes to improving renewable energy deployment, affordability, and operational reliability, particularly in developing and resource-constrained contexts. Dr. Hossain has received professional recognition through high-impact publications, open-access research dissemination, and consistent citation performance, reflecting his influence in energy and sustainability research. According to Scopus, he has published 53 documents, received 6,023 citations, and achieved an h-index of 26, underscoring his sustained academic impact, leadership, and commitment to advancing clean energy technologies and sustainable development.

 

Citation Metrics (Scopus)

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26

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Featured Publications

Zi-Jun Liu | Medicine | Research Excellence Award

Published on by Scientific World Research Awards

Prof. Zi-Jun Liu | Medicine | Research Excellence Award

Professor | University of Washington | United States

Prof. Zi-Jun Liu is a highly regarded researcher in craniofacial biology, functional anatomy, and upper airway biomechanics, with a strong translational focus on respiratory health and developmental morphology. His research interests center on craniofacial growth, tongue and soft-palate kinematics, pharyngeal airway structure, obesity-related airway dysfunction, and animal models of obstructive sleep apnea, particularly using minipigs to understand human-relevant biomechanics. Prof. Liu’s research skills include advanced morphological analysis, 3D imaging and shape modeling, functional anatomy, respiratory biomechanics, and integrative in-vivo experimental design. His work has contributed significantly to clarifying the relationship between craniofacial structure, soft-tissue dynamics, and airway stability during respiration, chewing, and swallowing. He has received recognition through competitive research grants, high-impact open-access publications, and sustained citation performance, reflecting his leadership in craniofacial and airway research. According to Scopus, Prof. Zi-Jun Liu has published 59 documents, received 1,384 citations, and holds an h-index of 20, underscoring his global scientific impact and continued influence in biomedical morphology research.

 

Citation Metrics (Scopus)

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1,384

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Featured Publications


Oral Biology and Dental Models


– Book Chapter, Nov 2025 (Minipig models in dental, oral, and craniofacial research)


Supplementary Material: Craniofacial morphology of Yucatan miniature and standard pigs during postnatal ontogeny


– Supplementary Data, Aug 2025 | Ce Liang, Tengyang Qiu, Arsalan Marghoub, Mehran Moazen

 

Wei Li | Mechanical Engineering | Research Excellence Award

Published on by Scientific World Research Awards

Prof. Wei Li | Mechanical Engineering | Research Excellence Award

Dean | Jiangsu University | China

Prof. Wei Li is a distinguished researcher in fluid machinery and turbomachinery, recognized for his impactful contributions to pump engineering and unsteady flow analysis. His research interests focus on centrifugal, mixed-flow, and axial-flow pumps, cavitation and multiphase flow, hydrogen circulation pumps, flow instability, rotating stall, entropy-based energy loss analysis, and performance optimization during transient operating conditions. His research skills include advanced computational fluid dynamics (CFD), turbulence modeling (WA, DES), reduced-order modeling, numerical simulation of unsteady flows, and experimental flow diagnostics such as Particle Image Velocimetry (PIV). Prof. Li’s work bridges theory and application, supporting high-efficiency and low-loss pump designs for energy and hydrogen systems. His scholarly excellence has earned him recognition through high-impact journal publications and strong citation performance, reflecting his influence in fluid and thermal engineering. According to Scopus, Prof. Wei Li has published 216 documents, accumulated 3,913 citations, and achieved an h-index of 31, underscoring his sustained academic impact and leadership in the field.

 

Citation Metrics (Scopus)

3913
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3,913

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216

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31

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Marco Campus | Biotechnology | Research Excellence Award

Published on by Scientific World Research Awards

Dr. Marco Campus | Biotechnology | Research Excellence Award

Ricercatore | AGRIS. Agricultiral Research Agency of Sardinia | Italy

Dr. Marco Campus is a recognized researcher in agricultural and food sciences, with a strong focus on agro-food microbiology, fermentation technology, and sustainable food processing. His primary research interests center on the use of native microbial starters, bioprocess optimization, and improving the safety, quality, and authenticity of traditional and industrial fermented foods, particularly table olives. His research skills include microbial fermentation analysis, industrial-scale trial design, quality assurance, and application-oriented food biotechnology, effectively bridging laboratory science with real-world agri-food systems. His work has gained notable academic recognition and honors through strong scholarly impact, reflected in 19 Scopus-indexed documents, 793 citations from 725 citing documents, and an h-index of 14, demonstrating sustained influence and research excellence. In conclusion, Dr. Campus’s contributions advance sustainable agriculture and food biotechnology, offering practical, environmentally responsible solutions while supporting innovation and preserving the integrity of Mediterranean food traditions.

Citation Metrics (Scopus)

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793

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19

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14

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 View ORCID Profile
 View ResearchGate Profile
 View Google Scholar Profile

Featured Publications