Alfredo Dimo | Biotechnology | Research Excellence Award

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Mr. Alfredo Dimo | Biotechnology | Research Excellence Award

Campus Bio Medico University of Rome | Italy

Mr. Alfredo Dimo is an emerging researcher at Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy, specializing in biomedical engineering with a strong focus on wearable sensor technologies, 3D-printed sensing devices, and human movement analysis for clinical and rehabilitation applications. His research interests include smart wearable systems, biomechanical motion tracking, and sensor-based health monitoring. He possesses strong research skills in sensor design, prototyping, data acquisition, and experimental validation for healthcare environments. Mr. Dimo’s innovative contributions have earned recognition through peer-reviewed publications and research excellence acknowledgments in biomedical instrumentation. According to Scopus, he has published 9 documents, received 63 citations, and achieved an h-index of 5, demonstrating growing impact and promise in translational biomedical research. Overall, his work supports advancements in personalized healthcare and next-generation wearable medical technologies.

 

Citation Metrics (Scopus)

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63

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9

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5

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Yao GE | Electrical and Electronics Engineering | Young Scientist Award

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Dr. Yao GE | Electrical and Electronics Engineering | Young Scientist Award

Research Fellow | Nanyang Technological University | Singapore

Dr. Yao Ge, a leading researcher at Nanyang Technological University, Singapore, has made significant contributions to advanced wireless communication systems, with research interests spanning secure precoding for ISAC systems, XL-RIS-aided near-field MIMO, OTFS-RSMA, and affine frequency division multiplexing in high-mobility and doubly-dispersive channels. His research skills include multiuser interference management, next-generation multiplexing techniques, and performance optimization of wireless networks. Dr. Ge’s work has earned him 743 citations across 57 documents, with an h-index of 14, highlighting his impactful contributions to the field. He has also been recognized for his innovative approaches in wireless communications through various awards and honors. Overall, his research advances both theoretical understanding and practical applications in secure, high-capacity, and efficient communication systems.

 

Citation Metrics (Scopus)

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743

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14

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Featured Publications


Receiver design for OTFS with a fractionally spaced sampling approach


– IEEE Transactions on Wireless Communications, 2021 (Citations: 129)


OTFS signaling for uplink NOMA of heterogeneous mobility users


– IEEE Transactions on Communications, 2021 (Citations: 93)


STAR-RIS aided integrated sensing and communication over high mobility scenarios


– IEEE Transactions on Communications, 2024 (Citations: 52)

 

Vladimir Levchenko | Nanotechnology | Excellence in Research Award

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Prof. Vladimir Levchenko | Nanotechnology | Excellence in Research Award

Professor | Taizhou University | China

Prof. Vladimir A. Levchenko is a distinguished researcher in materials science, tribology, and advanced surface engineering, with expertise in developing corrosion-resistant, self-healing, and high-performance multilayer coatings. His research focuses on enhancing mechanical, thermal, and tribological properties of coatings using innovative deposition techniques such as HiPIMS and dynamic Diels–Alder chemistry. His research interests include wear resistance, adhesion improvement, surface modification, and high-performance materials for industrial applications, while his skills cover coating design, materials characterization, tribological testing, and surface analysis. Recognized for his impactful contributions to the field, Prof. Levchenko’s work is highly cited, with Scopus metrics of 634 citations across 57 documents and an h-index of 9, reflecting significant scholarly influence and leadership in surface science and tribology research.

 

Citation Metrics (Scopus)

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634

Documents

57

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9

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Awele Okolie | Artificial Intelligence | Research Excellence Award

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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)

41
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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

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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)

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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

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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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5,000
2,000
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10,758

Documents

203

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52

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Featured Publications