Rika Rachmalina | Medicine | Best Researcher Award

Best Researcher Award

Rika Rachmalina
National Research and Innovation Agency, Indonesia

Rika Rachmalina
Affiliation National Research and Innovation Agency
Country Indonesia
Scopus Id 57202159129
Documents 12
Citations 148
h-index 7
Subject Area Medicine
Event International Popular Scientist Awards
Orcid 0000-0002-8290-3208

Rika Rachmalina is a researcher affiliated with the National Research and Innovation Agency of Indonesia whose documented scholarly work is situated within medicine and public health, with particular relevance to nutrition, child health, maternal health, health-care access, and population-level health disparities. Her publication record includes collaborative research addressing child malnutrition, minimum acceptable diet practices, nutritional and socioeconomic disparities, hemoglobin-related characteristics, alcohol consumption, and pregnancy complications in Indonesia. These themes provide a coherent basis for consideration under the Best Researcher Award at the International Popular Scientist Awards.

Abstract

Rika Rachmalina’s research profile reflects sustained engagement with population health and medical research in the Indonesian context. Her documented publications examine determinants of child nutrition, malnutrition during the COVID-19 pandemic, geographic and socioeconomic disparities in child undernutrition, dietary and biochemical characteristics of the Indonesian population, alcohol consumption, and barriers to health-care access associated with pregnancy complications. The reported Scopus profile contains 12 documents, 148 citations, and an h-index of 7. Together with her multidisciplinary collaborations, these outputs indicate a research portfolio concerned with identifying health determinants and generating evidence relevant to public-health policy and health-system planning. The publications cited in this profile provide the principal basis for evaluating her suitability for recognition through the Best Researcher Award.

Keywords

Rika Rachmalina; medicine; public health; child nutrition; malnutrition; maternal health; health-care access; nutritional disparities; epidemiology; Indonesia; population health; research impact; Best Researcher Award.

Introduction

Research on population health in Indonesia requires consideration of demographic, socioeconomic, nutritional, geographic, and health-system factors. Rachmalina’s documented scholarly contributions address several of these dimensions through observational and population-oriented studies. Her work on child undernutrition, for example, considers variation across Indonesia’s districts, while other studies examine dietary practices among young children and factors associated with access to health care. [1] [2] [4] [6]

The available publication record also demonstrates collaborative research across related areas of medicine and public health. Her authorship on studies concerning child malnutrition, alcohol consumption, hemoglobin levels, and pregnancy complications illustrates an emphasis on identifying measurable health risks and disparities within the Indonesian population. [2] [3] [5] [6]

Research Profile

Rachmalina is associated with the National Research and Innovation Agency in Indonesia and is identified within the medicine subject area. The supplied bibliometric profile reports 12 indexed documents, 148 citations, and an h-index of 7 under Scopus Author ID 57202159129. These indicators provide a quantitative description of the indexed publication record, while the individual publications provide additional context concerning the themes and populations addressed by the research. [1]

  • Primary field: Medicine and public health.
  • Geographic focus: Indonesia and Indonesian population health.
  • Research themes: child nutrition, malnutrition, health disparities, maternal health, health-care access, dietary practices, alcohol consumption, and population health.
  • Reported Scopus documents: 12.
  • Reported citations: 148.
  • Reported h-index: 7.

Research Contributions

A significant component of Rachmalina’s publication record concerns nutritional health among Indonesian children. The 2025 article Factors for minimum acceptable diet practice among 6–23-month-old children in rural and urban areas of Indonesia investigates factors associated with minimum acceptable diet practices among young children across rural and urban settings. The study was published in the Korean Journal of Family Medicine and includes Rachmalina among its contributors. [1]

Her work also includes research on child malnutrition during the COVID-19 pandemic. Published in Pediatric Gastroenterology, Hepatology & Nutrition in 2022, the article addresses the implications of the pandemic for child nutritional conditions in Indonesia and contributes to the broader evidence base concerning vulnerable pediatric populations during periods of health-system disruption. [2]

Publications

  1. Factors for minimum acceptable diet practice among 6–23-month-old children in rural and urban areas of Indonesia. Korean Journal of Family Medicine, 2025. Contributors include Rika Rachmawati, Rika Rachmalina, Yunita Diana Sari, Tri Wurisastuti, Kencana Sari, Ayunina Rizky Ferdina, Noviati Fuada, and Tin Afifah. [1]
  2. Child Malnutrition during the COVID-19 Pandemic in Indonesia. Pediatric Gastroenterology, Hepatology & Nutrition, 2022. Contributors: Lestari Octavia and Rika Rachmalina. [2]
  3. Prevalence Of Indonesia’s Alcohol Consumption, Risk Factors, And Its Cluster Mapping: An Analysis Of Indonesia Basic Health Survey 2018. Gizi Indonesia, 2022. Contributors include Prisca Petty Arfines, Rika Rachmalina, Rofingatul Mubasyiroh, Tities Puspita, and Fuska Atomita Restu Arfines. [3]
  4. Geographic and Socioeconomic Disparity in Child Undernutrition across 514 Districts in Indonesia. Nutrients, 2022. Contributors include Dumilah Ayuningtyas, Dwi Hapsari, Rika Rachmalina, Vilda Amir, Riani Rachmawati, and Dian Kusuma. [4]

Research Impact

The reported bibliometric indicators—12 documents, 148 citations, and an h-index of 7—provide evidence of an established indexed publication record. [1] Beyond these numerical measures, the subject matter of the publications is relevant to public-health questions with direct implications for population-level health assessment. Research addressing child undernutrition across 514 districts, for example, contributes evidence concerning spatial and socioeconomic differences that may be relevant to nutritional planning and resource allocation. [4]

The range of topics represented in the cited publications also indicates interdisciplinary engagement. Nutritional epidemiology, maternal health, health-care accessibility, behavioral risk factors, and population-level biochemical characteristics appear within the documented record. [1] [3] [5] [6]

Award Suitability

The Best Researcher Award recognizes research profiles demonstrating meaningful scholarly activity, documented research output, and contributions to a defined field. Based on the supplied profile, Rachmalina’s work presents several characteristics relevant to such an assessment.

  • Established publication record: The supplied Scopus profile reports 12 documents and 148 citations, with an h-index of 7.
  • Relevant medical research: Her publications address nutrition, child health, maternal health, health-care access, and population-level risk factors.
  • Population-health relevance: Several studies investigate health conditions and disparities affecting Indonesian communities, including children and pregnant women.
  • Collaborative scholarship: The cited publications demonstrate collaboration with researchers from related medical, nutritional, epidemiological, and public-health disciplines.
  • Evidence-oriented research: The publication portfolio uses population and health data to examine determinants and disparities relevant to medical and public-health research.

Conclusion

Rika Rachmalina’s documented research profile is centered on medicine and population health, with a substantial emphasis on nutritional health, child undernutrition, maternal health, health-care access, and health disparities in Indonesia. Her cited publications span 2021 to 2025 and demonstrate continuing engagement with health-related questions of national and population-level relevance. [1] [2] [4] [6] The supplied bibliometric indicators further document an indexed scholarly record of 12 documents, 148 citations, and an h-index of 7. On the basis of these documented research activities, her profile is relevant for consideration in the Best Researcher Award category of the International Popular Scientist Awards.

References

  1. Crossref. (2025). Factors for minimum acceptable diet practice among 6–23-month-old children in rural and urban areas of Indonesia. Korean Journal of Family Medicine.
    https://doi.org/10.4082/kjfm.23.0284
  2. Crossref. (2022). Child Malnutrition during the COVID-19 Pandemic in Indonesia. Pediatric Gastroenterology, Hepatology & Nutrition.
    https://doi.org/10.5223/pghn.2022.25.4.347
  3. Crossref. (2022). Prevalence Of Indonesia’s Alcohol Consumption, Risk Factors, And Its Cluster Mapping: An Analysis Of Indonesia Basic Health Survey 2018. Gizi Indonesia.
  4. Crossref. (2022). Geographic and Socioeconomic Disparity in Child Undernutrition across 514 Districts in Indonesia. Nutrients.
    https://doi.org/10.3390/nu14040843
  5. Crossref. (2021). Perbedaan Kadar Hemoglobin Darah Menurut Karakteristik Dan Frekuensi Konsumsi Tepung Terigu Penduduk Indonesia Umur 10 Tahun Ke Atas. Gizi Indonesia.
  6. Crossref. (2021). Perceived Barriers in Accessing Health Care and the Risk of Pregnancy Complications in Indonesia. International Journal of Women’s Health.
    https://doi.org/10.2147/IJWH.S310850

Juan Pablo Sánchez García | Business | Innovative Research Award

Innovative Research Award

Juan Pablo Sánchez García
ITESO, Mexico
Juan Pablo Sánchez García
Affiliation ITESO
Country Mexico
Documents 1
Subject Area Business
Event International Popular Scientist Awards
Orcid 0000-0003-1043-7719

Juan Pablo Sánchez García is a researcher and academic associated with ITESO in Mexico whose documented scholarly activity includes research in the Business and organizational-development domain. Institutional information identifies him as a professor associated with the Escuela de Negocios and records academic preparation in human development and organizational development, together with extensive teaching and consulting experience. [1] His recent collaborative publication on the organizational impact of learning through interactive virtual experiences provides a contemporary example of research connecting education, organizational contexts, and emerging digital learning environments. [2]

Abstract

This academic recognition profile presents the research activities and scholarly context of Juan Pablo Sánchez García of ITESO, Mexico, in relation to the Innovative Research Award. His documented academic and professional profile is situated within business, organizational development, human development, teaching, and organizational consulting. Institutional records identify his participation in teaching and professional activities at ITESO and describe academic qualifications in human development and organizational development. [1] His recent co-authored work in Social Sciences & Humanities Open examines the organizational implications of learning through interactive virtual experiences in the Mexican context, illustrating an interdisciplinary connection between organizational practice and emerging educational technologies. [2]

Keywords

Juan Pablo Sánchez García; ITESO; Business; organizational development; human development; management education; organizational impact; interactive virtual experiences; digital learning; Mexican context; innovative research; International Popular Scientist Awards.

Introduction

Research in business and organizational studies increasingly intersects with questions concerning learning, human development, digital transformation, and the changing nature of organizational experience. Within this broad field, Sánchez García’s documented academic profile combines organizational development and human-development perspectives with teaching and consulting activities. ITESO identifies him as a professor in its Escuela de Negocios and records doctoral-level training in human development, master’s-level training in organizational development and human development, and an undergraduate degree in business administration. [1]

Research Profile

Sánchez García’s documented professional profile spans academic instruction, organizational development, human development, and consulting. ITESO describes him as a professor of the Escuela de Negocios and records more than three decades of teaching and consulting experience, together with participation in postgraduate education and professional development. [1] These activities provide a multidisciplinary foundation for examining organizational behavior, management, workplace development, learning, and human-centered approaches to organizations.

  • Business and organizational development.
  • Human development and organizational well-being.
  • Management education and professional development.

Research Contributions

A notable documented contribution is the exploration of how interactive virtual experiences may relate to organizational outcomes in the Mexican context. The study is presented as a pilot assessment and focuses on the organizational impact of learning through interactive virtual experiences. Its subject places digital learning within a broader organizational and social-science framework, making it relevant to contemporary discussions of technology-mediated learning and organizational development. [2]

Publications

The supplied publication record identifies one indexed document associated with the profile. The following article is particularly relevant to the assessment of research activity represented on this page:

  • Miranda-Becerra, José Noé; Calderón-García, Rocío; Sánchez-García, Juan Pablo; Aguilar-Meza, Juan Pablo; Vázquez-Villegas, Patricia. “Beyond satisfaction: An exploratory analysis of a pilot assessment on the organizational impact of learning interactive virtual experiences in the Mexican context.” Social Sciences & Humanities Open, 2026, article 103443.

Research Impact

The available evidence indicates an emerging research contribution at the intersection of business, organizational development, and technology-supported learning. The 2026 article extends the discussion of interactive virtual experiences toward organizational outcomes and the Mexican context, providing a basis for further investigation into the conditions under which digital learning experiences may influence organizations. [2]

Award Suitability

The Innovative Research Award is appropriately framed around research that introduces, investigates, or applies new approaches to contemporary academic and professional challenges. Sánchez García’s documented work provides a relevant basis for consideration because his research and professional profile connects organizational development with evolving approaches to learning and interactive virtual experiences. [1] [2]

Conclusion

Juan Pablo Sánchez García’s documented academic profile reflects an interdisciplinary orientation spanning business, organizational development, human development, education, and consulting. His recent co-authored research on interactive virtual learning experiences and organizational impact demonstrates engagement with contemporary questions concerning digital learning and organizations in Mexico. [1] [2] On the evidence available, these activities provide a scholarly basis for consideration within an innovative research recognition framework while avoiding claims beyond the documented record.

References

  1. ITESO. (n.d.). Dr. Juan Pablo Sánchez García: institutional faculty profile. ITESO, Escuela de Negocios.
    https://iteso.mx/web/general/detalle?group_id=4398386
  2. Miranda-Becerra, José Noé; Calderón-García, Rocío; Sánchez-García, Juan Pablo; Aguilar-Meza, Juan Pablo; Vázquez-Villegas, Patricia. (2026). Beyond satisfaction: An exploratory analysis of a pilot assessment on the organizational impact of learning interactive virtual experiences in the Mexican context. Social Sciences & Humanities Open, article 103443.
    DOI: https://doi.org/10.1016/j.ssaho.2026.103443
  3. Crossref. (2026). Bibliographic record for “Beyond satisfaction: An exploratory analysis of a pilot assessment on the organizational impact of learning interactive virtual experiences in the Mexican context.”
    DOI: 10.1016/j.ssaho.2026.103443

Jung Hoon Song | Chemistry | Best Researcher Award

Best Researcher Award

Jung Hoon Song

Mokpo National University, South Korea

Jung Hoon Song
Affiliation Mokpo National University
Country South Korea
Scopus Id 7404787858
Documents 169
Citation 4,287
h-index 32
Subject Area Chemistry
Event International Popular Scientist Awards
Orcid 0000-0002-4773-113X

Jung Hoon Song is presented as a candidate for the Best Researcher Award at the International Popular Scientist Awards, based on the supplied bibliometric profile and recent scholarly contributions in chemistry and closely related materials, semiconductor, photonics, and nanoscale research. The profile reports 169 indexed documents, 4,287 citations, and an h-index of 32, providing quantitative indicators of sustained scholarly activity and research visibility. [1]

Abstract

Jung Hoon Song’s research profile reflects sustained scholarly activity spanning chemistry and interdisciplinary research involving gallium nitride (GaN), semiconductor materials, Raman spectroscopy, photonics, defect-related optical phenomena, and single-photon emitters. The supplied bibliometric record lists 169 documents, 4,287 citations, and an h-index of 32. [1] Recent publications associated with Song examine temperature-dependent behavior of defect-related single-photon emitters, strain distribution in GaN-based power transistors, Raman thermometry for P-GaN/AlGaN/GaN high-electron-mobility transistors, and single-photon extraction through radiative mode conversion. [2] [3] [4] [5]

Keywords

Jung Hoon Song; Best Researcher Award; Chemistry; Semiconductor Materials; Gallium Nitride; GaN; Raman Spectroscopy; Photonics; Single-Photon Emitters; Defect Physics; Power Transistors; Raman Thermometry; Materials Science; International Popular Scientist Awards.

Introduction

Research in contemporary chemistry increasingly intersects with materials science, semiconductor engineering, spectroscopy, nanotechnology, and photonics. Within this interdisciplinary environment, studies of semiconductor materials such as GaN involve chemical composition, defects, strain, thermal behavior, optical properties, and device performance. Song’s recent publication record illustrates this intersection through investigations of GaN-based systems and optical phenomena.

One 2025 study examined temperature-dependent emission properties of defect-based single-photon emitters in GaN and considered possible interactions between phonons and electrons. The publication identifies Song as a corresponding author and provides.[2]

Research Profile

The supplied research profile places Jung Hoon Song within the chemistry subject area while the listed publications demonstrate substantial interdisciplinary engagement with semiconductor materials and photonic technologies. The reported Scopus indicators comprise 169 documents, 4,287 citations, and an h-index of 32. [1] Such metrics are commonly used as descriptive indicators of publication activity and citation visibility, although they should be interpreted alongside research quality, originality, collaboration, and broader scholarly contributions.

Research Contributions

A notable theme in the recent publication record is the characterization of GaN-based materials and devices using optical and spectroscopic techniques. Surface-enhanced Raman spectroscopy has been applied to investigate strain distributions in GaN-based power transistors, with the reported study examining how buffer-layer structures influence strain evolution in GaN epilayers. [3]

Publications

The following publications were supplied as representative recent works associated with Jung Hoon Song:

  1. Temperature Dependent Behavior of Defect Related Single Photon Emitters in GaN and their Interaction with Phonons. Physica Status Solidi (B): Basic Research, 2025.[2]
  2. Effect of the Buffer Layers on the Strain Distribution in GaN-Based Power Transistors using Surface-Enhanced Raman Spectroscopy. Physica Status Solidi (B): Basic Research, 2025.[3]
  3. Simultaneous Submicron Temperature Mapping of Substrate and Channel in P-GaN/AlGaN/GaN HEMTs Using Raman Thermometry. Applied Sciences, 2025, 15(14), 7860.[4]
  4. Boosting Single-Photon Extraction Efficiency in GaN Through Radiative Mode Conversion. Laser & Photonics Reviews, 2025, 19(10), Article 2401966.[5]
  5. Anomalous Photocurrent Reversal Due to Hole Traps in AlGaN-Based Deep-Ultraviolet Light-Emitting Diodes. Publication details were included in the supplied research record; bibliographic information is not reproduced here where it was not provided.

Research Impact

The reported citation profile of 4,287 citations and an h-index of 32 indicates a substantial level of scholarly visibility within the supplied Scopus record. [1] The publication examples also show research spanning fundamental material behavior, device-level characterization, thermal measurement, optical spectroscopy, and single-photon photonics. This breadth is relevant to interdisciplinary research environments in which chemical and materials properties directly influence semiconductor and photonic-device performance.[2] [3] [4] Work on radiative mode conversion further connects GaN materials research with quantum-photonic applications. [5]

Award Suitability

Based on the supplied profile, Jung Hoon Song demonstrates several characteristics relevant to consideration for a Best Researcher Award. These include a substantial indexed publication record, a reported h-index of 32, thousands of citations, and recent peer-reviewed publications addressing technically significant questions in semiconductor materials, spectroscopy, photonics, and GaN-based technologies. [1]

  • Research productivity: The supplied Scopus profile reports 169 documents.
  • Research visibility: The supplied record reports 4,287 citations and an h-index of 32.
  • Interdisciplinary scope: Recent work connects chemistry and materials research with semiconductor physics, spectroscopy, photonics, and device engineering.

Conclusion

Jung Hoon Song’s supplied academic profile presents a researcher with substantial bibliometric activity and a recent body of interdisciplinary work focused on advanced semiconductor and photonic materials. The reported Scopus metrics of 169 documents, 4,287 citations, and an h-index of 32 provide quantitative indicators of research visibility. [1] His recent publications address GaN defect-related single-photon emitters, strain characterization, Raman thermometry, and photon-extraction technologies, illustrating a research program that connects fundamental materials characterization with emerging device and quantum-photonic applications. [2] [3] [4] [5]

References

  1. Elsevier. (n.d.). Scopus author details: Jung Hoon Song, Author ID 7404787858. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7404787858
  2. Choi, G. E., Kim, J., Park, J.-K., Choi, M. S., Jang, S. M., Lee, G. J., Lim, S., & Song, J.-H. (2025). Temperature Dependent Behavior of Defect Related Single Photon Emitters in GaN and their Interaction with Phonons. Physica Status Solidi (B): Basic Research, 262, e2500247.
    DOI: https://doi.org/10.1002/pssb.202500247
  3. Kang, J. S., Park, J. K., Kim, J., Choi, G. E., Moon, Y., Bae, D. G., Lim, S., Bae, S.-B., & Song, J.-H. (2025). Effect of the Buffer Layers on the Strain Distribution in GaN-Based Power Transistors using Surface-Enhanced Raman Spectroscopy. Physica Status Solidi (B): Basic Research, 262, 2500124.
    DOI: https://doi.org/10.1002/pssb.202500124
  4. Kim, J., Lim, S., Choi, G. E., Park, J.-K., Cha, H.-Y., Kwak, C.-H., Lim, J., Moon, Y., & Song, J.-H. (2025). Simultaneous Submicron Temperature Mapping of Substrate and Channel in P-GaN/AlGaN/GaN HEMTs Using Raman Thermometry. Applied Sciences, 15(14), 7860.
    DOI: https://doi.org/10.3390/app15147860
  5. Hong, K. S., Lim, H.-J., Ko, Y.-H., Kim, K.-J., Lee, J., Song, J.-H., Kim, S.-H., Choi, J., Lee, S.-G., & Lee, W.-J. (2025). Boosting Single-Photon Extraction Efficiency in GaN Through Radiative Mode Conversion. Laser & Photonics Reviews, 19(10), Article 2401966.
    DOI: https://doi.org/10.1002/lpor.202401966

Junior Milembolo Miantezila | Biotechnology | Best Researcher Award

Best Researcher Award

Junior Milembolo Miantezila
Zhongshan Institute of Changchun University of Science and Technology, China
Junior Milembolo Miantezila
Affiliation Zhongshan Institute of Changchun University of Science and Technology
Country China
Documents 9
Subject Area Biotechnology
Event International Popular Scientist Awards
Orcid 0000-0001-7764-3168

Junior Milembolo Miantezila is a researcher affiliated with the Zhongshan Institute of Changchun University of Science and Technology in China, with a stated research subject area of biotechnology. The available publication record indicates research spanning multimodal emotion recognition, biomedical signal processing, machine learning, music emotion analysis, radar sensing, and drone detection. The record includes nine indexed documents and publications appearing in journals such as Biomedical Signal Processing and Control, Computers in Biology and Medicine, International Journal of Multimedia Information Retrieval, EMITTER International Journal of Engineering Technology, and PLOS ONE. Relevant publication records and DOI information are provided in the references below. [1] [2] [3] [4] [5]

Abstract

The research profile of Junior Milembolo Miantezila reflects an interdisciplinary orientation toward computational methods, intelligent sensing, biomedical signal analysis, and multimodal information processing. Recent publications address explainable deep learning and transformer-based multimodal fusion for elderly emotion recognition, ablation analysis of EEG–ECG fusion strategies, and temporal–structural learning for music emotion recognition. Earlier work includes passive radar methods for drone detection and massive multiple-input multiple-output radar for drone tracking and interception. Together, these studies demonstrate a research trajectory involving machine learning, signal processing, multimodal data integration, and intelligent sensing systems. [1] [2] [3] [4] [5]

Keywords

Biotechnology; biomedical signal processing; multimodal fusion; emotion recognition; explainable artificial intelligence; deep learning; transformer networks; EEG–ECG fusion; music emotion recognition; LSTM; graph attention networks; passive radar; drone detection; MIMO radar; intelligent sensing.

Introduction

Contemporary research in biotechnology and computational science increasingly incorporates artificial intelligence, signal processing, and multimodal data analysis. Within this broader environment, research on emotion recognition combines physiological and behavioral signals with machine-learning techniques to identify patterns that may not be readily captured through a single modality. The publication record associated with Junior Milembolo Miantezila includes work on EEG and ECG fusion, explainable deep learning, transformer architectures, and graph-based temporal–structural modeling. [1] [2] [3]

The same research record also includes sensing and radar applications. Publications concerning passive radar and massive MIMO radar indicate an additional interest in the use of computational sensing approaches for detecting and tracking unmanned aerial systems. This combination of biomedical signal analysis and intelligent sensing provides an interdisciplinary basis for evaluating the researcher’s suitability for recognition in a research award context. [4] [5]

Research Profile

The supplied profile identifies Junior Milembolo Miantezila with the Zhongshan Institute of Changchun University of Science and Technology in China and classifies the primary subject area as biotechnology. The reported publication record contains nine documents. Citation and h-index values were not supplied in the available information and are therefore not assigned numerical values in this article.

The documented publications suggest several interconnected research themes:

  • Multimodal biomedical signal fusion involving electroencephalography and electrocardiography.
  • Deep learning and transformer-based architectures for emotion recognition.

Research Contributions

A notable area of the publication record is multimodal emotion recognition. The article titled An explainable DAE-transformer-based multimodal fusion algorithm for elderly emotion recognition addresses the combination of multimodal information with deep autoencoder and transformer-based techniques while emphasizing explainability. Its publication in Biomedical Signal Processing and Control places the work within a field concerned with computational analysis of biomedical signals and intelligent healthcare-related systems. [1]

Another contribution examines the circumstances under which multimodal fusion improves emotion-recognition performance. The ablation study on EEG–ECG fusion strategies provides a methodological perspective by comparing alternative fusion configurations rather than treating multimodal integration as a single fixed procedure. Such analysis can assist researchers in understanding the contribution of individual signal modalities and fusion mechanisms. [2]

Publications

The supplied publication information identifies the following journal articles associated with Junior Milembolo Miantezila. DOI identifiers are provided as persistent links where available.

The researcher’s recent work focuses on multimodal emotion recognition, biomedical signal processing, and intelligent radar systems. Key contributions include explainable DAE-Transformer models for elderly emotion recognition, EEG–ECG fusion strategies, LSTM–GAT networks for music emotion analysis, and advanced passive radar approaches for drone detection, tracking, and interception. These studies demonstrate strong interdisciplinary expertise combining artificial intelligence, deep learning, signal processing, and sensing technologies to address emerging challenges in healthcare, multimedia, and autonomous systems.

Research Impact

The available publication record indicates research activity across multiple application domains rather than a single narrowly defined computational problem. In biomedical and affective computing, the work addresses multimodal signal fusion and machine-learning architectures for emotion recognition. In multimedia information retrieval, it considers the combination of temporal and structural representations. In radar research, the publications apply sensing and computational methods to drone detection and tracking. [1] [2] [3] [4] [5]

Award Suitability

The Best Researcher Award recognizes research activity that can be assessed through scholarly output, methodological contribution, interdisciplinary relevance, and evidence of sustained investigation. Based on the supplied record, Junior Milembolo Miantezila presents several characteristics relevant to such an evaluation, including a documented set of nine research documents, peer-reviewed journal publications, and research topics that connect biotechnology-related computational applications with artificial intelligence, biomedical signals, multimedia information retrieval, and intelligent sensing.[1] [2] [3] [4] [5]

Conclusion

Junior Milembolo Miantezila’s supplied research profile documents an interdisciplinary body of work involving biotechnology, biomedical signal processing, multimodal emotion recognition, deep learning, explainable artificial intelligence, multimedia information retrieval, and radar sensing. The identified publications demonstrate engagement with contemporary computational methods, including transformer architectures, multimodal fusion, LSTM–GAT models, passive radar, and massive MIMO radar. [1] [2] [3] [4] [5]

On the evidence supplied, the profile provides a substantive scholarly basis for consideration in the context of the Best Researcher Award under the International Popular Scientist Awards. Any final recognition should be based on verified bibliographic records and independently confirmed indicators of research quality and impact.

References

  1. Wang, Haijing; Milembolo Miantezila, Junior; Guo, Bin; Wu, Jinshuang. (2026). An explainable DAE-transformer-based multimodal fusion algorithm for elderly emotion recognition. Biomedical Signal Processing and Control.
    DOI: https://doi.org/10.1016/j.bspc.2026.110898
  2. Milembolo Miantezila Junior; Mavoungou Bayone Don-Faustin U-Vangsy; Guo, Bin. (2026). When multimodal fusion helps: An ablation study of EEG–ECG fusion strategies for emotion recognition. Computers in Biology and Medicine.
    DOI: https://doi.org/10.1016/j.compbiomed.2026.111895
  3. Fang, Jiale; Guo, Bin; Milembolo Miantezila Junior. (2026). Joint temporal–structural learning for music emotion recognition using LSTM–GAT networks. International Journal of Multimedia Information Retrieval.
    DOI: https://doi.org/10.1007/s13735-026-00405-y
  4. Junior Milembolo Miantezila; Guo, Bin; Wu, Jinshuang; Ma, Weijiao. (2024). Multistatic Passive Radar for drone detection based Random Finite State. EMITTER International Journal of Engineering Technology.
    DOI: https://doi.org/10.24003/emitter.v12i1.825
  5. Milembolo Miantezila Junior; Haldorai, Anandakumar; Guo, Bin. (2022). Sensing spectrum sharing based massive MIMO radar for drone tracking and interception. PLOS ONE.
    DOI: https://doi.org/10.1371/journal.pone.0268834

Samir Hashimov | Geology | Best Researcher Award

Best Researcher Award

Samir Hashimov
Azgeoexploration LLC, Azerbaijan

Samir Hashimov
Affiliation Azgeoexploration LLC
Country Azerbaijan
Google Scholar ID c1MdUkYAAAAJ
Documents 13
Citations 7
h-index 1
Subject Area Geology
Event International Popular Scientist Awards
ORCID 0009-0008-4967-9815

Samir Hashimov is a geologist affiliated with Azgeoexploration LLC in Azerbaijan whose documented research record includes studies of geothermal favorability, petroleum geology, reservoir properties, geophysical well logging, gas ratios, lithology, oil-bearing characteristics, palaeogeography, and glauconite within the South Caspian Basin and associated geological settings. His publication record provides a basis for considering his work in the context of the Best Researcher Award within the International Popular Scientist Awards. [1] [2]

Abstract

Samir Hashimov’s research profile is centered on geological and petroleum-related investigations, with published work addressing subsurface characterization, reservoir properties, oil-bearing formations, gas-ratio analysis, palaeogeography, and mineralogical characteristics of geological materials. His documented publications also include collaborative research on GIS-based geothermal favorability mapping and geological consistency assessment in the Lower Kura Basin. The available publication information indicates an interdisciplinary orientation connecting geological interpretation, geophysical well logging, petroleum-reservoir assessment, regional geological history, and emerging geothermal resource evaluation. [1] [2]

Keywords

Samir Hashimov; Best Researcher Award; Geology; Azerbaijan; petroleum geology; reservoir characterization; geophysical well logging; South Caspian Basin; Lower Kura Basin; geothermal favorability mapping; palaeogeography; glauconite; Hovsan oil field; geological research.

Introduction

Geological research in Azerbaijan encompasses the study of the South Caspian Basin, hydrocarbon-bearing formations, sedimentary sequences, reservoir characteristics, and the geological evolution of the region. Within this broader research environment, Hashimov’s documented publications address both applied and regional geological questions. His work on the Hovsan field examines lithology, oil-bearing content, and reservoir properties using geophysical well logging, while another study evaluates gas ratios in the same oil field. [2] [5]

Research Profile

The supplied research profile identifies Samir Hashimov’s principal subject area as Geology. The available bibliographic record lists 13 documents, 7 citations, and an h-index of 1. These indicators describe the supplied bibliometric snapshot and should be interpreted in relation to the coverage and updating practices of the underlying scholarly databases. His Google Scholar profile is identified by the user-provided identifier c1MdUkYAAAAJ. [1]

  • Primary discipline: Geology.
  • Research setting: Azerbaijan and geological systems associated with the South Caspian region.
  • Applied interests: petroleum geology, reservoir properties, geophysical well logging, and hydrocarbon-bearing formations.
  • Regional and emerging interests: palaeogeography, mineralogical characteristics of reservoir materials, and geothermal favorability assessment.

Research Contributions

A notable component of the documented research concerns the integration of geological and geophysical information for characterization of subsurface formations. The 2020 study of Miocene rocks in the Hovsan field specifically considers lithology, oil-bearing content, and reservoir properties on the basis of geophysical well logging, illustrating an applied approach to understanding petroleum reservoirs. [2]

Publications

The following publications are included in the supplied bibliographic record. Publication titles and bibliographic details are presented as provided.

  1. GIS-Based Geothermal Favorability Mapping and Geological Consistency Assessment in the Lower Kura Basin. Energies. 2026-08-29. Journal article. Contributors include Allahverdi Tagiyev, Elmir Karagozov, Mehriban Ismayilova, Lala Abdullayeva, Sevil Tahirova, Samira Mansurova, Rufat Mangushev, Shafag Habibullayeva, Samir Hashimov, Mehmet Bayraktutan et al.
  2. Studying lithology, oil bearing content and reservoir properties in Miocene rocks in Hovsan field based on geophysical well logging

Research Impact

The available bibliometric information records 13 documents, 7 citations, and an h-index of 1. These figures provide a quantitative snapshot of the supplied research profile but do not, by themselves, establish the scientific quality, practical importance, or long-term influence of individual publications. [1]

Award Suitability

The Best Researcher Award recognizes research activity and scholarly contribution within the framework of the International Popular Scientist Awards. Based on the supplied information, Hashimov’s suitability can be considered in relation to the breadth of his documented geological research, the applied nature of his petroleum-geology investigations, his participation in collaborative research, and the progression of topics from reservoir characterization and regional geology toward GIS-supported geothermal favorability assessment. [2] [5]

Conclusion

Samir Hashimov’s documented research profile reflects a focus on geology with substantial emphasis on petroleum-related geological investigation and regional geological interpretation. His publications cover Hovsan oil-field reservoir properties, gas-ratio analysis, Early Pliocene palaeogeography, glauconite in hydrocarbon-field reservoirs, and collaborative GIS-based geothermal favorability mapping in the Lower Kura Basin. [2] [3] [4] [5]

References

  1. Google Scholar. Samir Hashimov, Google Scholar profile, user ID c1MdUkYAAAAJ.
    https://scholar.google.com/citations?user=c1MdUkYAAAAJ
  2. Samir Hashimov. (2020). Studying lithology, oil bearing content and reservoir properties in Miocene rocks in Hovsan field based on geophysical well logging. Azərbaycan Neft Təsərrüfatı.
    DOI: https://doi.org/10.37474/0365-8554/2020-5-21-25
  3. Paleogeography Of The Early Pliocene Within The Western Side Of The Southern Caspian Sea And Adjacent Areas Of Azerbaijan
  4. Glauconite In Commercial Reservoirs Of Oil And Gas Fields Of The Apsheron Archipelago Of The South Caspian Basin
  5. Tagiyev, Allahverdi; Karagozov, Elmir; Ismayilova, Mehriban; Abdullayeva, Lala; Tahirova, Sevil; Mansurova, Samira; Mangushev, Rufat; Habibullayeva, Shafag; Hashimov, Samir; Bayraktutan, Mehmet et al. (2026). GIS-Based Geothermal Favorability Mapping and Geological Consistency Assessment in the Lower Kura Basin. Energies.
    DOI: https://doi.org/10.3390/en19174061

Terngu Nomishan | Archaeology | Best Researcher Award

Best Researcher Award

Terngu Nomishan
Federal University Lokoja, Nigeria

Terngu Nomishan
Affiliation Federal University Lokoja
Country Nigeria
Scopus ID 57298304100
Documents 4
Citations 12
h-index 2
Subject Area Archaeology
Event International Popular Scientist Awards
ORCID 0000-0001-8275-3134

Terngu Nomishan  the Best Researcher Award recognizes sustained scholarly activity, research productivity, and meaningful contributions to the advancement of knowledge. Terngu Nomishan, affiliated with Federal University Lokoja in Nigeria, is presented here in the context of archaeological and heritage research, with a publication record addressing public archaeology, cultural heritage management, historical development, entrepreneurship, urbanization, and conflict resolution. The available research record includes publications and preprints from 2024 and 2025, several of which are associated with persistent DOI identifiers. [1]

Abstract

Terngu Nomishan is a researcher associated with Federal University Lokoja, Nigeria, whose supplied scholarly record is situated primarily within archaeology and related heritage studies. His listed works examine public archaeology in Nigeria, the management and interpretation of cultural heritage, historical entrepreneurship in Tivland, the Kwagh-Hir cultural heritage tradition, and transportation’s relationship with urbanization in Lokoja. Together, these works illustrate an interdisciplinary orientation connecting archaeological inquiry with heritage management, history, anthropology, urban studies, and community-oriented research. [2]

Keywords

Terngu Nomishan; Best Researcher Award; Archaeology; Public Archaeology; Cultural Heritage; Heritage Management; Nigeria; Tivland; Kwagh-Hir; Historical Studies; Urbanization; Lokoja; Entrepreneurship; Conflict Resolution.

Introduction

Archaeology and heritage research in Nigeria encompass the study, interpretation, preservation, and contemporary use of material and intangible cultural resources. Research in this area increasingly intersects with questions of public engagement, community identity, historical memory, heritage governance, and sustainable management. Within this broader context, the supplied publication record of Terngu Nomishan addresses several dimensions of Nigerian historical and cultural research. [3]

Research Profile

The supplied profile identifies Terngu Nomishan with Federal University Lokoja in Nigeria and places his principal subject area within Archaeology. The reported Scopus author identifier is 57298304100, with four documents, 12 citations, and an h-index of 2 as provided in the source information for this recognition profile. These indicators represent bibliometric observations at a particular point in time rather than permanent measures of scholarly contribution. [1]

Research Contributions

The supplied works indicate several areas of contribution:

  • Public archaeology: research on contemporary dynamics and challenges in public archaeology in Nigeria highlights the relationship between archaeological knowledge, public participation, and present-day heritage concerns.
  • Cultural heritage management: work on heritage management in Africa considers historical narratives alongside contemporary challenges in managing cultural resources.
  • Intangible cultural heritage: research concerning Kwagh-Hir explores the potential role of a cultural heritage practice in intra-ethnic conflict resolution among the Tiv of Central Nigeria.

Publications

Terngu S. Nomishan has contributed to research in public archaeology, cultural heritage management, entrepreneurship, conflict resolution, and urbanization in Nigeria. His recent publications examine contemporary challenges in public archaeology, the historical development of entrepreneurship in Tivland, the role of Kwagh-Hir cultural heritage in conflict resolution, heritage management in Africa, and transportation’s influence on urbanization in Lokoja. These works demonstrate a strong interdisciplinary focus on Nigerian history, archaeology, cultural heritage, and community development.

The potential significance of this research profile lies in its engagement with questions that connect historical and archaeological knowledge to contemporary communities. Public archaeology can contribute to broader public understanding of archaeological heritage, while heritage management research can help frame discussions about preservation, interpretation, and changing historical narratives.

Award Suitability

The Best Researcher Award profile is aligned with the supplied evidence of active scholarly research in archaeology and heritage-related fields. Considerations supporting the nomination include the documented publication record, interdisciplinary subject coverage, identifiable DOI-linked research outputs, and engagement with issues relevant to Nigerian cultural heritage and historical development.

Based on the supplied record, relevant evaluation dimensions include:

  • Research productivity: multiple scholarly outputs are identified across 2024 and 2025.
  • Subject expertise: the research profile is centered on archaeology, cultural heritage, and related historical inquiry.
  • Interdisciplinary relevance: the publications connect archaeological and heritage questions with urbanization, entrepreneurship, conflict resolution, and public engagement.

Conclusion

Terngu Nomishan’s supplied academic record presents a research profile focused on archaeology, cultural heritage, history, and related social and spatial questions in Nigeria. His listed works address public archaeology, heritage management, intangible cultural heritage, entrepreneurship in Tivland, and transportation and urbanization in Lokoja. The combination of these themes demonstrates a research orientation toward understanding the relationship between historical knowledge, cultural resources, communities, and contemporary challenges.

References

  1. Elsevier. (n.d.). Scopus author details: Terngu Nomishan, Author ID 57298304100. Scopus.
    https://www.scopus.com/pages/authors/57298304100
  2. Nomishan, T. S., Gubam, D., & Ugwuanyi, J. K. (2025). Expanding Horizons: Contemporary Dynamics and Challenges in Public Archaeology in Nigeria. Preprint.
    https://doi.org/10.2139/ssrn.5198382
  3. Ojediran, O. I., & Nomishan, T. S. (2025). Cultural Heritage Management in Africa: Unravelling Historical Narratives and Tackling Contemporary Challenges. Journal of Heritage, Archaeology & Management.
    https://doi.org/10.5281/zenodo.17349387
  4. Ali, A., & Nomishan, T. S. (2024). Accessibility: The Role of Transportation on Urbanization in Lokoja, Nigeria, 1854–1991. Preprint.
    https://doi.org/10.2139/ssrn.4863249
  5. Crossref. (n.d.). DOI registration and scholarly metadata records.

Melinda Szalóki | Dentistry | Innovative Research Award

Innovative Research Award

Melinda Szalóki
Faculty of Dentistry, Department of Biomaterials and Prosthetic Dentisty, Hungary

Melinda Szalóki
Affiliation Faculty of Dentistry, Department of Biomaterials and Prosthetic Dentisty
Country Hungary
Scopus ID 23010319600
Documents 39
Citations 321
h-index 11
Subject Area Dentistry
Event International Popular Scientist Awards
Orcid 0000-0002-7052-0322

Melinda Szalóki  the Innovative Research Award recognizes research activity demonstrating meaningful contributions to innovation, scientific investigation, and the development or characterization of advanced materials and technologies. Melinda Szalóki’s documented publication record is associated with dental materials, polymer-based systems, nanocomposites, photopolymerizable resins, surface properties, additive manufacturing, and spectroscopic characterization. Her research profile includes collaborative studies published in journals covering polymers, nanotechnology, dentistry, materials science, and applied scientific research. [1][2][3]

Abstract

Melinda Szalóki is a researcher working in the field of dentistry with a publication portfolio focused in part on biomaterials and advanced polymeric and nanostructured systems relevant to dental applications. Her documented research includes the preparation and characterization of flexible acrylate-based resins, investigation of resin surface free energy and wetting behavior, plasmonic effects involving gold-containing nanoparticles, and nanocomposite films incorporating gold nanorods. [1][2][3][4][5]

Keywords

Keywords: Dentistry; Dental Biomaterials; Prosthetic Dentistry; Polymer Nanocomposites; Gold Nanorods; Dental Resin; Photopolymerization; 3D Printable Resins; Surface Free Energy; Nanotechnology; Raman Spectroscopy; Additive Manufacturing.

Introduction

Contemporary dental materials research increasingly combines conventional polymer science with nanotechnology, surface characterization, digital manufacturing, and advanced analytical techniques. Resin-based materials are important in restorative and prosthetic dentistry, while their mechanical, chemical, optical, surface, and processing properties can influence clinical and laboratory performance. Research into nanocomposite formulations and additive manufacturing therefore forms an interdisciplinary area connecting dentistry with materials science and engineering.[1][2][3]

Research Profile

The research profile represented by the supplied records is centered on dentistry and biomaterials, with particular emphasis on polymer-based materials and nanoscale modifications. The combination of dental resin chemistry, surface science, nanocomposite preparation, additive manufacturing, and spectroscopic investigation indicates an interdisciplinary approach to material development and characterization.

  • Dental biomaterials and resin-based composite systems.
  • UDMA-TEGDMA nanocomposites incorporating gold nanorods.
  • Surface free energy and wetting characteristics of resin-based composites.
  • Flexible acrylate-based materials designed for three-dimensional printing.

Research Contributions

A notable aspect of the supplied research record is the investigation of gold nanorod-doped UDMA-TEGDMA systems. A 2023 study used in-situ Raman spectroscopy to investigate thermal treatments of a UDMA-TEGDMA nanocomposite containing gold nanorods, connecting nanoscale modification with spectroscopic analysis of material behavior. [2][1]

Publications

The following selected publications were supplied as part of the research record. DOI links are provided where available and lead to the corresponding DOI resolver.

  1. Tarpataki, N., Keczánné-Üveges, A., Szalóki, M., & Bonyár, A. (2025). Preparation of Few-Micron-Thick Free-Standing Au-Nanorod/UDMA-TEGDMA Nanocomposite Films by Using PVA Sacrificial Layers. Polymers.
  2. Bonyár, A., Borók, A., Szalóki, M., Veres, M., & Rigó, I. (2023). Thermal Treatments on a UDMA-TEGDMA Nanocomposite Doped With Gold Nanorods Investigated by In-situ Raman-Spectroscopy. IEEE Transactions on Nanotechnology.
  3. Szalóki, M., Szabó, Z., Martos, R., Csík, A., Szőllősi, G. J., & Hegedűs, C. (2023). The Surface Free Energy of Resin-Based Composite in Context of Wetting Ability of Dental Adhesives. Applied Sciences.
  4. Szalóki, M., Kabli, A. A., & Hegedűs, C. (2023). Preparation and characterization of 3D printable flexible acrylate-based resin. Fogorvosi Szemle.

Research Impact

The supplied Scopus information records 39 documents, 321 citations, and an h-index of 11 for Scopus Author ID 23010319600. These figures indicate that the indexed publication record has received measurable scholarly attention. Bibliometric indicators should be interpreted in relation to publication field, career stage, collaboration patterns, indexing coverage, and the citation practices of the relevant disciplines.[1][2][3]

Award Suitability

Based on the information supplied, Melinda Szalóki’s research profile is relevant to an Innovative Research Award because the documented publications address the development, preparation, characterization, and application-oriented investigation of advanced dental materials. The work incorporates nanostructured gold-containing systems, polymeric nanocomposites, photopolymerizable resins, three-dimensional printable materials, surface characterization, and spectroscopic analysis. [1][2][4][5]

Conclusion

Melinda Szalóki’s documented research profile reflects interdisciplinary work at the intersection of dentistry, biomaterials, polymer science, nanotechnology, surface characterization, and digital manufacturing. The supplied Scopus metrics and selected publications indicate an established indexed research record, while the individual studies demonstrate engagement with advanced resin systems and nanostructured materials. [1][2][3][4][5]

References

  1. Tarpataki, N., Keczánné-Üveges, A., Szalóki, M., & Bonyár, A. (2025). Preparation of Few-Micron-Thick Free-Standing Au-Nanorod/UDMA-TEGDMA Nanocomposite Films by Using PVA Sacrificial Layers. Polymers.
    https://doi.org/10.3390/polym17101391
  2. Bonyár, A., Borók, A., Szalóki, M., Veres, M., & Rigó, I. (2023). Thermal Treatments on a UDMA-TEGDMA Nanocomposite Doped With Gold Nanorods Investigated by In-situ Raman-Spectroscopy. IEEE Transactions on Nanotechnology.
    https://doi.org/10.1109/TNANO.2023.3314922
  3. Szalóki, M., Szabó, Z., Martos, R., Csík, A., Szőllősi, G. J., & Hegedűs, C. (2023). The Surface Free Energy of Resin-Based Composite in Context of Wetting Ability of Dental Adhesives. Applied Sciences.
    https://doi.org/10.3390/app132112061
  4. Szalóki, M., Kabli, A. A., & Hegedűs, C. (2023). Preparation and characterization of 3D printable flexible acrylate-based resin. Fogorvosi Szemle.
    https://doi.org/10.33891/FSZ.116.3.104-109
  5. Szalóki, M., Csarnovics, I., Bonyár, A., Ungor, D., Csapó, E., Sápi, A., & Hegedűs, C. (2023). Plasmonic Effect of Gold-Patchy Silica Nanoparticles on Green Light-Photopolymerizable Dental Resin. Nanomaterials.
    https://doi.org/10.3390/nano13182554

David Barillà | Surgery | Best Researcher Award

Best Researcher Award

David Barillà
Humanitas University, Italy

David Barillà
Affiliation Humanitas University
Country Italy
Scopus ID 56186949900
Documents 43
Citations 651
h-index 12
Subject Area Surgery
Event International Popular Scientist Awards
ORCID 0000-0002-4675-7901

David Barillà is a researcher affiliated with Humanitas University in Italy whose documented scholarly activity is situated within the field of surgery, with a particular emphasis on vascular and endovascular surgical research. The available research record reports 43 indexed documents, 651 citations, and an h-index of 12 under Scopus Author ID 56186949900. These bibliometric indicators provide a quantitative overview of the researcher’s indexed scholarly output and citation impact. [1]

Abstract

This academic recognition profile presents the research record of David Barillà of Humanitas University, Italy, in the context of the Best Researcher Award associated with the International Popular Scientist Awards. The profile is based on the supplied Scopus bibliometric information and publication records. Barillà’s documented output encompasses vascular and endovascular surgery, including lower-limb reconstruction, carotid procedures, peripheral bypass graft management, acute vascular occlusion treatment, and clinical outcome assessment. [1] Recent publications further indicate participation in multidisciplinary clinical research involving surgical teams and vascular specialists. [4]

Keywords

David Barillà; Best Researcher Award; Humanitas University; Surgery; Vascular Surgery; Endovascular Surgery; Carotid Surgery; Lower-Limb Vascular Reconstruction; Peripheral Bypass; Thrombectomy; Vascular Research; Clinical Research; International Popular Scientist Awards.

Introduction

Vascular surgery encompasses the diagnosis and treatment of diseases affecting arteries and veins and increasingly incorporates open surgical, endovascular, and hybrid techniques. Contemporary research in this area frequently evaluates procedural strategies, patient selection, postoperative pathways, graft durability, and clinical outcomes. Within this broad field, the supplied publication record for David Barillà reflects research activity across several clinically relevant areas of vascular and endovascular surgery. [5]

Research Profile

The supplied bibliometric profile identifies David Barillà with Scopus Author ID 56186949900, 43 indexed documents, 651 citations, and an h-index of 12. [1] These indicators are commonly used to describe dimensions of scholarly productivity and citation visibility, although they should be interpreted alongside publication quality, research contribution, authorship, clinical relevance, and the characteristics of the research field.

Research Contributions

The supplied publications indicate several interconnected research themes in vascular surgery. These include procedural approaches for lower-limb vascular reconstruction, optimization of carotid surgery pathways, maintenance of autologous vein bypass grafts, management of acute bypass occlusion, and evaluation of outcomes following vascular interventions. [2][5]

Publications

The following selected publications were supplied for this recognition profile. They illustrate the breadth of David Barillà’s recent research activity in vascular and endovascular surgery.

  1. Letter regarding “contemporary use of fibula resection compared to traditional medial approach in peroneal artery bypass”. Journal of Vascular Surgery Cases, Innovations and Techniques, 2026-10.
  2. Transiliac bone tunnel route for lower limb vascular reconstruction. Journal of Vascular Surgery Cases, Innovations and Techniques, 2026-06.
  3. Fast-Track Protocol for Carotid Surgery. Journal of Clinical Medicine, 2025.
  4. Insight from the Pseudoaneurysm of the Extracranial Carotid Arteries a retrospective Italian registry – PECAN Registry. Italian Journal of Vascular and Endovascular Surgery, 2025.

Research Impact

The supplied Scopus profile reports 651 citations and an h-index of 12 for David Barillà. [1] These measures indicate that the indexed publication record has received scholarly citations and has achieved measurable visibility within the bibliographic database. Because citation patterns differ substantially between disciplines, journals, publication types, and career stages, bibliometric measures are most appropriately considered as one component of a broader assessment of research contribution.

Award Suitability

Based on the supplied academic record, David Barillà presents characteristics that are relevant to consideration for a Best Researcher Award within the field of surgery. The profile combines an established indexed publication record with measurable citation activity and a body of recent research addressing vascular and endovascular surgical practice. [1]

  • Documented scholarly productivity: The supplied Scopus profile records 43 indexed documents.
  • Citation visibility: The profile reports 651 citations and an h-index of 12. [1]
  • Clinical research relevance: Recent publications address vascular reconstruction, carotid surgery, bypass graft management, thrombectomy, and clinical outcomes. [4][5]
  • Continuing research activity: The supplied record includes publications and contributions spanning 2024 through 2026.

Conclusion

David Barillà’s supplied academic profile documents a research career centered on surgery, with a notable concentration in vascular and endovascular research. The reported Scopus indicators of 43 documents, 651 citations, and an h-index of 12 provide quantitative evidence of an established indexed research record. [1]

References

  1. Elsevier. (n.d.). Scopus author details: David Barillà, Author ID 56186949900. Scopus.
    https://www.scopus.com/pages/authors/56186949900
  2. Journal of Vascular Surgery Cases, Innovations and Techniques. (2026). Transiliac bone tunnel route for lower limb vascular reconstruction.
    DOI: 10.1016/j.jvscit.2026.102209.
  3. Journal of Endovascular Therapy. (2024). Drug-Coated Balloons in Autologous Vein Peripheral-Distal Bypass Graft Maintenance: Advancements and Potential Impact.
    DOI: 10.1177/15266028241307574.
  4. Baronetto, N., Brizzi, S., Pignataro, A., Nisi, F., Giustiniano, E., Barillà, D., & Civilini, E. (2025). Fast-Track Protocol for Carotid Surgery. Journal of Clinical Medicine.
    DOI: 10.3390/jcm14124294.
  5. Sirignano, P., Barillà, D., Colonna, G., Pranteda, C., Pignataro, A., Setteducati, C. E., Brizzi, S., Baronetto, N., Taurino, M., & Civilini, E. (2025). Role of Sarcopenia in Predicting 1-Year Outcomes After Mini-invasive Surgical or Endovascular Repair of Infrarenal Abdominal Aortic Aneurysms. European Journal of Cardio-Thoracic Surgery.
    DOI: 10.1093/ejcts/ezaf241.
  6. Barillà, D., Roscitano, G., Derone, G., Virga, V., Montelione, N., Cutrupi, A., Costa, F., Pascucci, M. G., Versace, A., Vizzari, G., et al. (2024). Drug-Coated Balloons in Autologous Vein Peripheral-Distal Bypass Graft Maintenance: Advancements and Potential Impact. Journal of Endovascular Therapy.
    DOI: 10.1177/15266028241307574.

Ibrahim El Didi | Machine Learning | Innovative Research Award

Innovative Research Award

Ibrahim El Didi
Prince Mohammad Bin Fahd University, Saudi Arabia

Ibrahim El Didi
Affiliation Prince Mohammad Bin Fahd University
Country Saudi Arabia
Scopus ID 59699937500
Documents 3
Citations 1
h-index 1
Subject Area Machine Learning
Event International Popular Scientist Awards
ORCID 0000-0001-8812-788X

Ibrahim El Didi is a researcher affiliated with Prince Mohammad Bin Fahd University in Saudi Arabia whose documented scholarly work spans machine learning, artificial intelligence, cybersecurity, healthcare Internet of Medical Things (IoMT), renewable-energy systems, and computational methods. His recent publication record includes journal and conference contributions addressing intelligent intrusion detection, deep-learning-based cybersecurity, photovoltaic-system resilience, and machine-learning-supported healthcare applications.[1][2]

Abstract

Ibrahim El Didi is associated with research at the intersection of machine learning and applied intelligent systems. His documented publications include work on Parkinson’s disease classification using gait-related information, AI-based resilience for photovoltaic systems, intelligent intrusion detection for healthcare IoMT environments, layered security frameworks for cloud-connected healthcare systems, and deep-learning approaches to cybersecurity. The publication record also includes a contribution in computational mathematics, illustrating a broader engagement with applied computational research.[1][2][3]

Keywords

Machine learning; artificial intelligence; deep learning; cybersecurity; intrusion detection; healthcare IoMT; photovoltaic systems; network security; Parkinson’s disease classification; intelligent systems; computational methods; applied research.

Introduction

Machine learning has become an important methodological component of modern research in engineering, healthcare, cybersecurity, and energy systems. Its application to complex datasets allows researchers to develop classification, prediction, anomaly-detection, and decision-support approaches for problems that may be difficult to address using conventional analytical techniques alone. El Didi’s listed publications reflect this broader development by applying artificial intelligence and machine learning to multiple technological contexts.[1][4]

Research Profile

The available bibliographic information identifies Ibrahim El Didi with Prince Mohammad Bin Fahd University and associates his research subject area with machine learning. The supplied Scopus profile information records Scopus Author ID 59699937500, three indexed documents, one citation, and an h-index of 1. These metrics describe the indexed record available at the time represented by the supplied profile data and should be interpreted in the context of publication timing, indexing coverage, and the normal evolution of an academic research profile.[6]

Research Contributions

The documented contributions can be grouped into several applied research themes. In healthcare, the Parkinson’s disease study applies a physiology-anchored multiple-instance framework with confidence-stratified training to gait-based classification. Such a research direction connects machine-learning methodology with physiological information and disease-oriented classification problems.[1][2]

Publications

  1. A Physiology-Anchored Multiple-Instance Framework with Confidence-Stratified Training for Parkinson’s Disease Classification Based on Gait. Applied Sciences, 2026-08-22.
  2. SPARK: Shutdown Prevention and AI-Based Resilience Framework for PV Systems. 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT), 2026-04-07.
  3. CloudMed-IDS: Intelligent Multi-class and Zero-day Intrusion Detection System for HealthCare IoMT. 10th International Conference on Engineering, Technologies & Applied Sciences (ICETAS), Bahrain, 2026-04-01. Contributors.
  4. MedGuard-IoMT: A Machine Learning-Enabled Layered Security Framework for Intrusion Detection in Cloud-Connected Healthcare Systems. 2025 IEEE 6th International Conference on Computer, Big Data, Artificial Intelligence (ICCBD+AI), 2025-11-21.

Research Impact

The potential significance of El Didi’s research lies primarily in its application-oriented use of machine learning across domains where reliability, security, and intelligent analysis are important. Healthcare IoMT systems require mechanisms capable of detecting diverse cyber threats, while medical classification tasks require computational methods that can process physiological and behavioral information. The listed publications address both dimensions of intelligent healthcare systems.[1][3][4]

Award Suitability

The Innovative Research Award recognizes research activity characterized by the development or application of innovative approaches to significant academic or technological problems. Based on the supplied publication record, Ibrahim El Didi demonstrates several characteristics relevant to this recognition, including research activity in machine learning, application of artificial intelligence to healthcare and cybersecurity, and interdisciplinary work addressing renewable-energy systems.[1][2][4]

Conclusion

Ibrahim El Didi’s documented research profile reflects an interdisciplinary application of machine learning and artificial intelligence to healthcare, cybersecurity, renewable-energy systems, and computational research. His recent publications include work on Parkinson’s disease classification, photovoltaic-system resilience, intelligent intrusion detection for healthcare IoMT, cloud-connected healthcare security, deep-learning-based network protection, and computational differential equations.[1][2][3].

References

  1. Farfoura, M. E., Alkhatib, A. A. A., Elkhodr, M., El Didi, I., & Al-Sabbagh, A. (2026). A Physiology-Anchored Multiple-Instance Framework with Confidence-Stratified Training for Parkinson’s Disease Classification Based on Gait. Applied Sciences.
  2. Guler, N., Houda, T., El Didi, I., & Hindi, J. (2026). SPARK: Shutdown Prevention and AI-Based Resilience Framework for PV Systems. 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT).
    DOI: https://doi.org/10.1109/csnt69054.2026.11502347
  3. El Didi, I., Guler, N., & Ben Hazem, Z. (2026). CloudMed-IDS: Intelligent Multi-class and Zero-day Intrusion Detection System for HealthCare IoMT. 10th International Conference on Engineering, Technologies & Applied Sciences (ICETAS), Bahrain.
  4. El Didi, I., Elkhodr, M., Ullah, F., Zhao, Y., & Al-Sabbagh, A. (2025). MedGuard-IoMT: A Machine Learning-Enabled Layered Security Framework for Intrusion Detection in Cloud-Connected Healthcare Systems.
    DOI: https://doi.org/10.1109/iccbdai66607.2025.11388099
  5. El Didi, I., Trad, F., & Chehab, A. (2024). Enhancing Network Security Through Deep Learning: Mitigating Feature Engineering and Zero-Day Attacks. 2024 4th Intelligent Cybersecurity Conference (ICSC).
    DOI: https://doi.org/10.1109/icsc63108.2024.10895964
  6. Youssef, K., Moussa, M., Al-Husseini, M., El Misilmani, H. M., Kabalan, K. Y., & El Didi, I. (2024). Characteristic Mode Solution of Complex-Coefficient Complex-Solution Differential Equations.
    DOI: https://doi.org/10.61841/turcomat.v15i1.10082

Karamjeet Kaur | Finance | Best Researcher Award

Best Researcher Award

Karamjeet Kaur
Amardeep Singh Shergill College, Mukandpur

Karamjeet Kaur
Affiliation Amardeep Singh Shergill College, Mukandpur
Country India
Scopus ID 57224008322
Documents 5
Citations 7
h-index 1
Subject Area Finance
Event International Popular Scientist Awards
ORCID 0009-0001-2602-8699

Karamjeet Kaur is a finance and business-management academic whose documented research activities span corporate governance, earnings management, ownership structure, dividend policy, share buybacks, agricultural finance and sustainability. Her publication record includes journal articles addressing the relationship between governance mechanisms and corporate financial decisions, as well as interdisciplinary questions connecting environmental policy, organizational practices and sustainable performance. [1]

Abstract

Karamjeet Kaur is a commerce and business-management academic whose research interests focus primarily on finance, banking, corporate governance, earnings management and sustainability. Her documented academic activities include employment at ASSM College, Mukandpur, from 1999 to the present, together with postgraduate education at the University School of Financial Studies, Guru Nanak Dev University. Her research portfolio includes studies of board composition, institutional ownership, dividend policy, share buybacks, agricultural credit and environmental policy. [1] [2]

Keywords

Karamjeet Kaur; Finance; Banking; Corporate Governance; Earnings Management; Sustainability; Institutional Ownership; Dividend Policy; Share Buybacks; Agricultural Credit; Financial Management; Business and Commerce.

Introduction

Research in finance and business management frequently examines how corporate governance structures, ownership arrangements, managerial incentives and financial policies influence organizational outcomes. Within this broad field, Karamjeet Kaur’s documented research addresses several interconnected questions involving governance, earnings management, dividend decisions, share repurchases and sustainability. Her work also includes research concerning agricultural credit and its relationship with agricultural production in Punjab, demonstrating an application of financial analysis to a regional economic context. [3][1]

Research Profile

Kaur’s research profile is positioned within finance and commerce, with particular emphasis on the governance and financial-policy dimensions of organizations. The reported subject area is Finance, while her listed research interests include banking, corporate governance, earnings management and sustainability. Her publications indicate a research trajectory that connects conventional financial-market questions with contemporary corporate responsibility and environmental-management issues.

  • Corporate governance and board characteristics, including institutional ownership and board composition.
  • Earnings management and the influence of governance structures on managerial financial reporting behavior.
  • Dividend policy and ownership structure among companies listed on the National Stock Exchange of India.
  • Share buybacks and stock-price responses to corporate financial announcements.
  • Sustainability, environmental policy, training and organizational behavior.
  • Agricultural credit and agricultural production in Punjab.

Research Contributions

A notable aspect of Kaur’s research is its attention to corporate governance as a factor associated with financial decision-making. Her work on institutional ownership and busy boards examines governance characteristics in relation to earnings management, while her research on board composition and ownership structure considers their relationship with dividend policy among Indian listed companies. [4] [5]

Publications

The documented publication record includes six works spanning 2009 to 2026. The publications cover corporate governance, earnings management, sustainability, agricultural finance, share buybacks and stock-market reactions. Selected works are listed below in chronological order of publication year where the available record permits.

  1. Stock Price Reaction to Bonus Share Announcements in India. Management and Labour Studies, 2009.
  2. Motivations of Share Buybacks in India. Indian Journal of Finance, 2012. EID: 2-s2.0-84986309514.
  3. Farming Fortunes: Unraveling the Impact of Agricultural Credit on Agricultural Production in Punjab. Educational Administration: Theory and Practice, 2022.
  4. Board Composition, Ownership Structure and Dividend Policy: Evidence from NSE Listed Companies in India. International Journal of Law and Management, 2025.

Research Impact

The available bibliometric information identifies 5 indexed documents, 7 citations and an h-index of 1 for Scopus Author ID 57224008322. These figures provide a quantitative snapshot of the indexed research record and should be interpreted in relation to publication age, field-specific citation practices and the coverage of individual databases. [1]

Award Suitability

The Best Researcher Award consideration for Karamjeet Kaur is aligned with the documented characteristics of her academic profile, particularly her sustained engagement with finance and commerce research and her publications addressing corporate governance, earnings management, ownership structure, dividend policy and sustainability. Her record also demonstrates research applications extending from corporate finance to agricultural credit and environmental performance. [2] [4]

Conclusion

Karamjeet Kaur’s academic profile reflects sustained work in finance, commerce and business management, with research spanning corporate governance, earnings management, ownership structure, dividend policy, share buybacks, agricultural finance and sustainability. Her documented employment and education at Guru Nanak Dev University and her publication record provide an academic foundation for consideration within the Best Researcher Award category. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Karamjeet Kaur, Author ID 57224008322. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57224008322
  2. Kaur, A., Kaur, K., & Bhalla, G. S. (2026). The impact of environmental policy and training on green performance: Unveiling the mediating roles of conservation practices and organizational citizenship behavior for the environment. Management and Sustainability. DOI: https://doi.org/10.1108/MSAR-01-2025-0026
  3. Kaur, K. (2022). Farming fortunes: Unraveling the impact of agricultural credit on agricultural production in Punjab. Educational Administration: Theory and Practice. DOI: https://doi.org/10.69980/kuey.v28i4.11770
  4. Kaur, K., & Rani, P. (2026). Moderating effect of institutional ownership on the nexus between busy boards and earnings management: Evidence from Indian companies. Corporate Governance: The International Journal of Business in Society.
  5. Kaur, J., & Kaur, K. (2025). Board composition, ownership structure and dividend policy: Evidence from NSE listed companies in India. International Journal of Law and Management. DOI: https://doi.org/10.1108/IJLMA-07-2023-0163