Enrique Garcia Bordejé | Carbon Capture | Best Carbon Capture and Storage Award

Published on by Petroleum Engineering

Best Carbon Capture and Storage Award

Enrique García-Bordejé
Instituto de Carboquímica (ICB-CSIC), Spain

Enrique García-Bordejé
Affiliation Instituto de Carboquímica (ICB-CSIC)
Country Spain
Scopus ID 6603120370
Documents 103
Citations 3,775
h-index 41
Subject Area Carbon Capture
Event Petroleum Engineering Awards
ORCID 0000-0001-8158-1270

Enrique García-Bordejé is a researcher affiliated with the Instituto de Carboquímica (ICB-CSIC) in Spain whose documented research profile is closely associated with carbon capture, carbon dioxide conversion, catalytic materials and processes for transforming captured CO2 into useful products. His recent publication record includes research on direct air capture, dual-functional materials, catalytic conversion of CO2 to methane, reverse water-gas shift chemistry and pathways for upgrading biogas into low-carbon gas fuels.

Abstract

Enrique García-Bordejé’s research profile demonstrates sustained engagement with scientific problems surrounding carbon dioxide capture and catalytic utilization. His recent publications address direct air capture, dual-functional materials capable of combining CO2 capture and conversion, catalytic production of methane, reverse water-gas shift chemistry, and biogas upgrading. In particular, his 2025–2027 publication record includes studies investigating supported ruthenium and nickel catalysts, alkali-promoted materials, graphite-supported catalytic systems and integrated approaches for transforming atmospheric or process-derived CO2 into useful chemical or energy products. [1] [2] [3] The combination of capture and conversion research is particularly relevant to efforts aimed at reducing net carbon emissions while developing technically useful pathways for carbon management.

Keywords

Carbon capture; carbon dioxide capture; direct air capture; carbon utilization; CO2 conversion; methane synthesis; dual-functional materials; heterogeneous catalysis; reverse water-gas shift; catalytic materials; graphite-supported catalysts; ruthenium catalysts; nickel catalysts; biogas upgrading; low-carbon fuels.

Introduction

Carbon capture and storage and related carbon-management technologies encompass a range of approaches intended to reduce the atmospheric release of carbon dioxide from industrial activities and energy systems. Alongside permanent storage, carbon capture and utilization research investigates methods through which captured CO2 can be transformed into fuels, chemicals or other useful products. Recent work in this area increasingly examines integrated systems in which adsorption or capture functionality and catalytic conversion are combined within the same material or process configuration.[4] [5]

Research Profile

The supplied research profile identifies García-Bordejé with the Instituto de Carboquímica (ICB-CSIC), Spain, and associates his subject area with Carbon Capture. The reported bibliometric indicators are 103 documents, 3,775 citations and an h-index of 41, with Scopus Author ID 6603120370. These indicators provide a quantitative description of the indexed research record and, when considered alongside the publication topics, indicate a substantial body of work relevant to catalysis and carbon-management research.2] [3]

Research Contributions

  • Research on direct air capture and CO2 conversion, including integrated approaches for capturing atmospheric carbon dioxide and converting it to methane.
  • Investigation of dual-functional materials designed to combine carbon dioxide capture with catalytic conversion within an integrated material system.
  • Development and evaluation of Ru-based catalytic systems supported on alumina and promoted with alkali species for CO2 capture and methane formation. [2]
  • Study of graphite-supported dual-functional materials for CO2 capture from air and subsequent conversion to CH4. [3]
  • Research into Ni/graphite catalysts and promoter effects for CO2 conversion through the reverse water-gas shift reaction. [5]
  • Contribution to research on biogas upgrading and pathways for producing gas fuels with the objective of reducing net carbon emissions. [1]

Publications

Selected recent publications supplied for this recognition profile are listed below. The selection emphasizes publications directly related to carbon capture, CO2 utilization and catalytic conversion.

  1. Upgrading of biogas into gas fuels: pathways towards energy with net zero carbon emissions. Renewable and Sustainable Energy Reviews, 2027.
  2. Bifunctional Na–Ru on gamma-alumina for CO2 capture from air and conversion to CH4: impact of the regeneration method and support on monolithic contactors. Industrial Chemistry & Materials, 2026.
  3. Integrated CO2 capture from air with unprecedently efficient conversion to methane using Ru-alkali/alumina dual functional material by optimizing alkali loading. Applied Catalysis B: Environment and Energy, 2026.
  4. CO2 capture from air and its conversion to CH4 using dual functional materials supported on high surface area graphite. Journal of CO2 Utilization, 2025.
  5. Effect of Cs and Ba promoters on Ni/graphite catalysts for CO2 conversion via the reverse water gas shift reaction. Catalysis Science & Technology, 2025.

Research Impact

The reported bibliometric profile of 103 documents, 3,775 citations and an h-index of 41 indicates an established indexed publication record. The research topics represented in the supplied publications are also relevant to several important dimensions of carbon management, including direct air capture, catalytic conversion of captured carbon dioxide, methane production and the upgrading of biogas into gas fuels.

A notable feature of the recent work is its focus on integrating capture and conversion rather than treating carbon dioxide removal and utilization as entirely separate operations. Studies of Ru-alkali/alumina and graphite-supported dual-functional materials investigate how material design can facilitate both CO2 capture and subsequent conversion. [3] [4] Such research contributes to the scientific understanding required to evaluate integrated carbon-management technologies.

Award Suitability

Based on the supplied research profile and publication record, Enrique García-Bordejé demonstrates strong thematic alignment with the Best Carbon Capture and Storage Award. His research directly addresses carbon dioxide capture from air, catalytic carbon utilization and materials capable of integrating capture and conversion functions. [2] [3]

Conclusion

Enrique García-Bordejé’s research profile is characterized by sustained work in carbon capture, catalytic conversion and carbon-utilization technologies. His recent publications demonstrate particular interest in direct air capture, dual-functional catalytic materials, methane production from captured CO2, reverse water-gas shift reactions and biogas upgrading. Together with the supplied bibliometric indicators of 103 documents, 3,775 citations and an h-index of 41, these contributions establish clear relevance to the scientific objectives represented by the Best Carbon Capture and Storage Award.

References

  1. Bordejé, V.; Morales, M. V.; Guerrero-Ruiz, A.; Rodríguez-Ramos, I.; García-Bordejé, E. (2027). Upgrading of biogas into gas fuels: pathways towards energy with net zero carbon emissions. Renewable and Sustainable Energy Reviews.
    DOI: https://doi.org/10.1016/j.rser.2026.117448
  2. García-Bordejé, E.; Conesa, J. M.; Guerrero-Ruiz, A.; Rodríguez-Ramos, I. (2026). Bifunctional Na–Ru on gamma-alumina for CO2 capture from air and conversion to CH4: impact of the regeneration method and support on monolithic contactors. Industrial Chemistry & Materials.
    DOI: https://doi.org/10.1039/D5IM00030K
  3. García-Bordejé, E.; Conesa, J. M.; Guerrero-Ruiz, A.; Rodríguez-Ramos, I. (2026). Integrated CO2 capture from air with unprecedently efficient conversion to methane using Ru-alkali/alumina dual functional material by optimizing alkali loading. Applied Catalysis B: Environment and Energy.
    DOI: https://doi.org/10.1016/j.apcatb.2025.126291
  4. García-Bordejé, E. et al. (2025). CO2 capture from air and its conversion to CH4 using dual functional materials supported on high surface area graphite. Journal of CO2 Utilization.
    DOI: https://doi.org/10.1016/j.jcou.2025.103054
  5. Moral-Pombo, J.; Conesa-Alonso, J. M.; Campos-Castellanos, E.; García-Bordejé, E.; Guerrero-Ruiz, A.; Rodríguez-Ramos, I. (2025). Effect of Cs and Ba promoters on Ni/graphite catalysts for CO2 conversion via the reverse water gas shift reaction. Catalysis Science & Technology.
    DOI: https://doi.org/10.1039/D4CY01331J

Aneela Qadir | Artificial Lift Systems | Best Academic Researcher Award

Published on by Petroleum Engineering

Best Academic Researcher Award

Aneela Qadir
Guangzhou Huashang College, Guangzhou, China

Aneela Qadir
Affiliation Guangzhou Huashang College
Country China
Scopus ID 57320820700
Documents 9
Citations 127
h-index 5
Subject Area Artificial Lift Systems
Event Petroleum Engineering Awards

Aneela Qadir is a researcher affiliated with Guangzhou Huashang College in Guangzhou, China. Her indexed research profile records nine documents, 127 citations, and an h-index of 5. These bibliometric indicators provide a quantitative overview of her research visibility and scholarly influence within the indexed literature. Her research profile is considered in the context of the Best Academic Researcher Award associated with the Petroleum Engineering Awards. [1]

Abstract

Aneela Qadir is affiliated with Guangzhou Huashang College in Guangzhou, China, and has an indexed Scopus research profile comprising nine documents, 127 citations, and an h-index of 5. [1] These indicators suggest an established level of scholarly visibility within the indexed research literature. Her available publication record includes interdisciplinary research addressing sustainable agricultural development, green innovation, green supply chains, and farmer education. The profile demonstrates engagement with applied research questions that connect innovation, sustainability, education, and organizational systems. Within the recognition framework of the Petroleum Engineering Awards, the Best Academic Researcher Award considers the documented research record, publication activity, citation impact, and broader relevance of scholarly contributions.

Keywords

  • Aneela Qadir
  • Best Academic Researcher Award
  • Petroleum Engineering Awards
  • Artificial Lift Systems
  • Sustainable Development

Introduction

Academic recognition commonly considers multiple dimensions of research activity, including scholarly output, citation performance, research relevance, and contribution to the development of knowledge. Bibliometric indicators such as publication counts, citation counts, and the h-index can provide useful quantitative evidence when interpreted alongside the substantive content of a researcher’s work. [1]

Research Profile

The research profile of Aneela Qadir, as represented by the supplied Scopus record, contains nine indexed documents and 127 citations, resulting in an h-index of 5. [1] The profile therefore reflects both publication activity and measurable citation engagement. The indexed record also reports 120 documents citing the author’s work, indicating that the research has been referenced across a broader body of scholarly literature.

The available publication evidence points toward interdisciplinary research involving sustainable development, green innovation, supply-chain practices, and education. These themes are relevant to contemporary research environments in which technological development and sustainability objectives increasingly intersect.

Research Contributions

The available publication record identifies research addressing sustainable agricultural development in rural regions through the combination of green innovation, green supply chains, and farmer education. [2] The study represents an interdisciplinary approach in which innovation, supply-chain management, and human-capital development are considered together rather than as isolated factors.

Publications

The supplied Scopus record identifies nine documents associated with Aneela Qadir. [1] One publication specifically identified in the available record is listed below.

  • Sustainable Agriculture Development in Rural Regions: The Combination of Green Innovation, Green Supply Chains, and Farmer Education. Sustainable Development, 2026. Authors listed in the supplied record include Aneela Qadir, Guangming Li, Muhammad Arshad, Huiqin Zhao, and Haiyan Wang. [2]

Research Impact

The available bibliometric profile records 127 citations across nine documents and an h-index of 5. [1] These indicators provide evidence of measurable scholarly visibility. The citation record should, however, be interpreted in conjunction with publication quality, disciplinary context, authorship contribution, and the substantive significance of individual studies.

Award Suitability

Aneela Qadir’s available academic profile provides several documented indicators relevant to consideration for the Best Academic Researcher Award. These include an indexed Scopus profile, nine recorded documents, 127 citations, and an h-index of 5. [1] The available publication evidence further demonstrates engagement with interdisciplinary sustainability research involving green innovation, supply chains, and education. [2]

Conclusion

Aneela Qadir is an academic researcher affiliated with Guangzhou Huashang College in China whose available Scopus profile records nine documents, 127 citations, and an h-index of 5. [1] The identified publication on sustainable agricultural development demonstrates interdisciplinary engagement with green innovation, green supply chains, and farmer education. [2] Collectively, the available evidence establishes a documented research profile with measurable scholarly visibility and provides a substantive basis for consideration under the Best Academic Researcher Award category of the Petroleum Engineering Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Aneela Qadir, Author ID 57320820700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57320820700
  2. Qadir, Aneela; Li, Guangming; Arshad, Muhammad; Zhao, Huiqin; Wang, Haiyan. (2026). Sustainable Agriculture Development in Rural Regions: The Combination of Green Innovation, Green Supply Chains, and Farmer Education. Sustainable Development.
  3. Petroleum Engineering Awards.
    https://petroleumengineering.org/
  4. An evaluation of uni & multidimensional poverty among farming and non-farming communities. (2022). Social Indicators Research.

Ying Chen | Energy Transition | Best Researcher Award

Published on by Petroleum Engineering

Best Researcher Award

Ying Chen
Hubei University of Technology

Ying Chen
Affiliation Hubei University of Technology
Country China
Scopus ID 57846948300
Documents 8
Citations 148
h-index 6
Subject Area Energy Transition
Event Petroleum Engineering Awards

Ying Chen is a researcher affiliated with Hubei University of Technology in Wuhan, China, whose indexed research record includes eight documents and 148 citations, with a reported h-index of 6. The available Scopus profile identifies research activity relevant to advanced materials, sensing technologies and areas that can contribute to broader energy-transition research. [1] The profile also records the 2025 open-access article Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors, published in RSC Advances, illustrating work at the intersection of functional materials and gas-sensing applications. [2]

Abstract

Ying Chen of Hubei University of Technology, China, has an indexed research profile comprising eight Scopus documents, 148 citations and an h-index of 6. [1] Available publication information indicates research involving functional nanomaterials and gas-sensing systems, including a study of an α-Fe2O3–TiO2-MXene heterojunction for acetone gas detection. [2] Such research is relevant to the development of advanced sensing platforms, materials engineering and technological approaches that can support monitoring and intelligent systems associated with evolving energy and industrial environments.

Keywords

  • Energy Transition
  • Functional Materials
  • Gas Sensors
  • Nanomaterials
  • MXene

Introduction

Energy transition increasingly depends on technologies capable of improving efficiency, monitoring industrial processes and supporting reliable environmental and operational measurements. Advanced functional materials and sensing devices represent one component of this technological landscape because they can provide selective and responsive detection of chemical species in diverse environments. Chen’s available publication record includes research on heterojunction-based gas sensors, providing a documented example of work in this broader technological context. [2]

Research Profile

The indexed profile of Ying Chen records eight documents, 148 citations and an h-index of 6. [1] The Scopus record identifies Hubei University of Technology as the researcher’s affiliation and China as the associated country. The available publication evidence points toward research in functional materials and sensing, with particular relevance to heterostructured materials and gas-detection technologies.

Research Contributions

One documented contribution is the development and investigation of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensing. The work was published in RSC Advances in 2025 and is identified as an open-access article in the Scopus record. [2] Heterojunction architectures such as this combine distinct material properties to engineer functional interfaces, while MXene-based components are studied for their electrical and surface characteristics in sensing applications.

  • Investigation of advanced heterojunction materials for gas-sensing applications.
  • Application of functional nanomaterials to chemical detection.

Publications

The available Scopus information identifies the following publication among the researcher’s indexed documents:

  1. Yang, Zhenyuan; Chen, Ying. Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors. RSC Advances, 2025. [2]

The supplied Scopus profile indicates eight documents in total, while the accessible publication result provided for this article contains one displayed record. Consequently, this page does not infer titles, authorship or DOI information for the remaining documents where those details have not been supplied. [1]

Research Impact

The reported 148 citations across eight Scopus-indexed documents indicate that Chen’s published work has received measurable scholarly attention. The h-index of 6 provides an additional bibliometric indicator of citation performance. [1] Bibliometric indicators should be interpreted alongside publication quality, research originality, methodological contribution and relevance to the relevant scientific field rather than as standalone measures of research quality.

Award Suitability

Based on the supplied research profile, Ying Chen demonstrates a documented record of scholarly publication, citation activity and research involving advanced functional materials and gas-sensing technologies. These areas can intersect with the technological needs of energy transition through improved monitoring, materials innovation and sensing capabilities. The reported Scopus metrics further provide a quantitative basis for considering the profile within an academic recognition process. [1]

Conclusion

Ying Chen is an Hubei University of Technology researcher with eight Scopus-indexed documents, 148 citations and an h-index of 6. [1] The available publication evidence demonstrates research involving α-Fe2O3–TiO2-MXene heterojunctions and acetone gas sensing, highlighting work in functional materials and sensing technology. [2] On the evidence supplied, the profile presents a reasonable scholarly basis for consideration for the Best Researcher Award, subject to verification against the complete research record and award criteria.

References

  1. Elsevier. (n.d.). Scopus author details: Ying Chen, Author ID 57846948300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57846948300
  2. Yang, Zhenyuan; Chen, Ying. (2025). Facile synthesis of an α-Fe2O3–TiO2-MXene heterojunction for enhanced acetone gas sensors. RSC Advances.
    https://pubs.rsc.org/en/journals/journalissues/ra
  3. Chen, Y., & Yang, Z. (2025). Facile synthesis of an α-Fe₂O₃-TiO₂-MXene heterojunction for enhanced acetone gas sensors. RSC Advances, 15(4), 3040–3046.

Brankica Kartalović | Biotechnical sciences | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Brankica Kartalović
Biosense Institute Novi Sad

Brankica Kartalović
Affiliation Biosense Institute Novi Sad
Country Serbia
Scopus Id 57063309700
Documents 56
Citation 512
h-index 13
Subject Area Biotechnical sciences
Event Petroleum Engineering Awards
Orcid 0000-0002-2798-8958

Brankica Kartalović is a researcher affiliated with the Biosense Institute Novi Sad, Serbia, whose reported scholarly profile is situated within the field of biotechnical sciences. Her research record includes work involving biosensors, environmental monitoring, analytical methods, organic micropollutants, plastics contamination, and biological indicators. The available publication record demonstrates interdisciplinary activity connecting biotechnology with analytical chemistry, environmental science, sensing technologies, and biological assessment. Her reported Scopus profile comprises 56 documents, 512 citations, and an h-index of 13. [1]

Abstract

Brankica Kartalović is a Serbia-based researcher at the Biosense Institute Novi Sad working within the broad area of biotechnical sciences. Her documented research activities include the development and application of biosensing approaches, environmental contaminant assessment, analytical technologies, and biological monitoring. Recent publications address electrochemical and optical biosensors using electrochemically etched porous silicon, comparative approaches to micro- and nanoplastic detection, environmental contaminants in amphibian embryos, atmospheric washout of organic micropollutants, and methodological approaches to animal bioindicators. [2] [3] [4] [5]

Keywords

Biosensors; electrochemical sensing; porous silicon; environmental monitoring; microplastics; nanoplastics; analytical methods; organic micropollutants; polycyclic aromatic hydrocarbons; atmospheric deposition; bioindicators; biotechnical sciences; environmental assessment; sensor technologies.

Introduction

The research profile associated with Brankica Kartalović reflects the intersection of biotechnology, analytical measurement, environmental science, and sensing technologies. These fields are increasingly interconnected because the assessment of environmental quality often requires sensitive analytical systems, reliable sampling strategies, and biological interpretation. Her recent scholarly output illustrates this interdisciplinary orientation through studies addressing both technological sensing platforms and environmental contaminants. [2] [3][4] [6]

Research Profile

Kartalović’s reported research profile encompasses several related areas of biotechnical and environmental investigation. Her recent publications provide evidence of activity in sensor technology, environmental contaminant analysis, biological monitoring, and analytical methodology. The work on porous-silicon-based biosensors focuses on optical and electrochemical sensing approaches, while the review of micro- and nanoplastic contamination examines classical analytical methods alongside advanced sensor technologies. [2] [3]

  • Biosensor technologies and electrochemical sensing
  • Optical sensing and porous silicon-based analytical platforms
  • Microplastic and nanoplastic contamination assessment
  • Environmental monitoring of organic and inorganic contaminants

Research Contributions

A notable component of the reported research is the application of sensing technologies to analytical and environmental questions. The publication on optical and electrochemical biosensors using electrochemically etched porous silicon examines a material and device-oriented approach to biosensing. Such research sits at the interface of material engineering, electrochemistry, optical measurement, and biotechnology. [2]

Another contribution concerns analytical strategies for micro- and nanoplastic contamination. The comparative review considers established analytical methods together with advanced sensor technologies, reflecting the methodological challenge of identifying and characterizing small plastic particles in environmental systems. [3]

Publications

Selected publications associated with Brankica Kartalović include the following journal articles and research contributions:

  1. Despotovski Kiš, Teodora; Radović, Marko; Kartalović, Brankica; Knežević, Nikola. “Optical and Electrochemical Biosensors Using Electrochemically Etched Porous Silicon.” Biosensors.
  2. Kartalovic, Brankica; Vidic, Jasmina. “Micro- and Nanoplastic Water Contamination: Comparative Review of Classical Analytical Methods and Advanced Sensors.” Chemosensors.
  3. Bjedov, Dora; Kartalović, Brankica; Velki, Mirna; Habschied, Kristina; Turić, Nataša; Mikuška, Alma. “Polycyclic aromatic hydrocarbons, toxic and potentially toxic elements in Pelophylax esculentus complex embryos from the UNESCO-Protected Drava River Floodplain (Croatia).” Environmental Monitoring and Assessment.
  4. Kartalović, Brankica; Tomanović, Rastko; Habschied, Kristina; Mikuška, Alma; Sudarić Bogojević, Mirta; Žunić, Antonije; Bjedov, Dora. “Atmospheric Washout Dynamics of Organic Micropollutants: A Study of PAH, PAE, and BTEX Concentrations in Rainwater Across Northern Serbia.” Journal of Xenobiotics.
  5. Kartalović, Brankica D. “Animal Bioindicators: From Field Sampling to Laboratory Assays and Modern Statistical Inference.” Journal of Visualized Experiments.

Research Impact

The reported bibliometric profile provides a quantitative indication of the visibility of Kartalović’s scholarly work. The available Scopus information lists 56 documents, 512 citations, and an h-index of 13. [1] These values indicate an established publication and citation record within the indexed research literature, although bibliometric indicators should be interpreted in relation to discipline, career stage, publication type, database coverage, and citation practices.

Award Suitability

The research record presented for Brankica Kartalović provides a reasonable academic basis for consideration for an Innovative Research Award. Her recent publications span sensing technologies, environmental analytical methods, contaminant monitoring, and biological assessment, demonstrating an interdisciplinary research profile within the biotechnical sciences. [2] [3] [4]

The suitability of the nomination is further supported by the combination of technology-oriented research and environmental applications. Work involving biosensors and advanced analytical approaches is relevant to the development of improved measurement capabilities, while studies of environmental contaminants and bioindicators demonstrate application-oriented research questions. [2] [5] [6]

Conclusion

Brankica Kartalović’s documented academic profile reflects interdisciplinary research in biotechnical sciences, with recent work covering biosensors, advanced sensing methods, environmental contamination, organic micropollutants, biological indicators, and analytical assessment. Her reported Scopus record of 56 documents, 512 citations, and an h-index of 13 provides a quantitative measure of her indexed scholarly activity. [1][2] [3] [4]

References

  1. Elsevier. (n.d.). Scopus author details: Brankica Kartalović, Author ID 57063309700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57063309700
  2. Despotovski Kiš, T., Radović, M., Kartalović, B., & Knežević, N. (2026). Optical and Electrochemical Biosensors Using Electrochemically Etched Porous Silicon. Biosensors, 16(9), 498.
    DOI: https://doi.org/10.3390/bios16090498
  3. Kartalovic, B., & Vidic, J. (2026). Micro- and Nanoplastic Water Contamination: Comparative Review of Classical Analytical Methods and Advanced Sensors. Chemosensors, 14(9), 198.
    DOI: https://doi.org/10.3390/chemosensors14090198
  4. Bjedov, D., Kartalović, B., Velki, M., Habschied, K., Turić, N., & Mikuška, A. (2026). Polycyclic aromatic hydrocarbons, toxic and potentially toxic elements in Pelophylax esculentus complex embryos from the UNESCO-Protected Drava River Floodplain (Croatia). Environmental Monitoring and Assessment.
    DOI: https://doi.org/10.1007/s10661-026-15826-9
  5. Kartalović, B., Tomanović, R., Habschied, K., Mikuška, A., Sudarić Bogojević, M., Žunić, A., & Bjedov, D. (2026). Atmospheric Washout Dynamics of Organic Micropollutants: A Study of PAH, PAE, and BTEX Concentrations in Rainwater Across Northern Serbia. Journal of Xenobiotics.
    DOI: https://doi.org/10.3390/jox16030116

Jaafar Hadi | Health | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Jaafar Hadi
The University of Texas MD Anderson Cancer Center

Jaafar Hadi
Affiliation The University of Texas MD Anderson Cancer Center
Country United States
Scopus ID 59131794500
Documents 5
Citations 12
h-index 2
Subject Area Health
Event Petroleum Engineering Awards
ORCID 0009-0000-0585-6842

Jaafar Hadi is a researcher affiliated with The University of Texas MD Anderson Cancer Center whose recent scholarly work addresses cancer biology, tumor immunology, clinical behavior, and mechanisms associated with treatment response. His recent publications examine myeloid-mediated immunoregulation across squamous cell carcinomas and clinical patterns associated with recurrence in oral tongue squamous cell carcinoma. These studies provide a research profile centered on understanding tumor–immune interactions and factors that may influence therapeutic resistance and disease outcomes. [1] [2]

Abstract

The research profile of Jaafar Hadi is represented by recent scholarly contributions concerning squamous cell carcinomas, tumor immunoregulation, recurrence, and resistance to immune checkpoint inhibitor therapy. A 2026 article in Cancers investigates myeloid-mediated immunoregulation and resistance to immune checkpoint inhibitor therapy across squamous cell carcinomas, with emphasis on mechanisms and potential reprogramming strategies. [1] A second 2026 article in Laryngoscope Investigative Otolaryngology examines smoking status and recurrence in oral tongue squamous cell carcinoma, contributing evidence concerning convergent clinical behavior. [2] Together with a related working paper on myeloid-mediated immunoregulation, these publications indicate a research direction focused on tumor–immune interactions and clinically relevant mechanisms of cancer progression and treatment response. [3]

Keywords

Squamous cell carcinoma; tumor immunology; myeloid cells; immunoregulation; immune checkpoint inhibitors; treatment resistance; oral tongue cancer; cancer recurrence; tumor microenvironment; translational oncology.

Introduction

Squamous cell carcinomas comprise a diverse group of malignancies in which interactions between tumor cells, immune populations, and the surrounding microenvironment can influence disease behavior and therapeutic response. Contemporary cancer research increasingly examines the biological mechanisms that allow tumors to evade immune surveillance and develop resistance to immune-based therapies. The supplied publication record places Jaafar Hadi’s recent work within this broader area, particularly through investigation of myeloid-mediated immunoregulation and clinical recurrence patterns. [1] [2]

Research Profile

The available research record identifies Health as the subject area associated with Jaafar Hadi. The supplied bibliometric information lists five documents, 12 citations, and an h-index of 2. These metrics provide a quantitative snapshot of the indexed research record and should be interpreted in relation to publication age, disciplinary citation practices, collaboration patterns, and the evolving nature of the research portfolio.[1] [2]

Research Contributions

Based on the supplied publications, the principal areas of contribution can be summarized as follows:

  • Investigation of myeloid-mediated immunoregulation across squamous cell carcinomas and its relationship to the tumor immune environment. [1]
  • Analysis of mechanisms associated with resistance to immune checkpoint inhibitor therapy, including consideration of potential reprogramming strategies. [1]
  • Clinical investigation of smoking status and recurrence in oral tongue squamous cell carcinoma, with emphasis on convergent clinical behavior. [2]
  • Development of a research direction linking tumor immunoregulation, therapeutic resistance, recurrence, and translational oncology. [1] [2] [3]

Publications

The following publications and working paper were supplied as part of the research record:

  1. Hadi, Jaafar A.; Nizami, Zohra N.; Noor, Ahmed Tajmim; Osman, Abdullah A.; Myers, Jeffrey N. “Myeloid-Mediated Immunoregulation and Resistance to Immune Checkpoint Inhibitor Therapy Across Squamous Cell Carcinomas: Mechanisms and Reprogramming Strategies.” Cancers, 2026-08-22.
  2. Hadi, Jaafar A.; Li, Guojun; Nizami, Zohra N.; Wang, Jennifer; Reeves, Bridget; Veeramachaneni, Ratna; Roberts, Dianna; Gomez, Lorena Isabel; Kadara, Humam; Mansour, Mena et al. “Smoking Status and Recurrence in Oral Tongue Squamous Cell Carcinoma: Evidence for Convergent Clinical Behavior.” Laryngoscope Investigative Otolaryngology, 2026-06.
  3. Hadi, Jaafar A. et al. “Myeloid-Mediated Immunoregulation Across Squamous Cell Carcinomas.” Working paper.

Research Impact

The available bibliometric record lists five documents, 12 citations, and an h-index of 2 for the supplied Scopus author profile. These indicators suggest an emerging indexed research record rather than a mature, long-established bibliometric portfolio. The recent dates of the supplied publications are also relevant when interpreting citation counts because newly published research generally has less time to accumulate citations.[1] [2]

Award Suitability

The supplied record provides a scholarly basis for consideration under an Innovative Research Award framework, particularly where recognition is intended to acknowledge emerging research addressing important scientific or clinical questions. Hadi’s recent work demonstrates engagement with contemporary questions in cancer immunology and oncology, including immune-mediated regulation, resistance to immune checkpoint inhibitor therapy, and recurrence in squamous cell carcinoma. [1] [2]

Conclusion

Jaafar Hadi’s supplied research record reflects an emerging scholarly focus on cancer immunology, squamous cell carcinomas, tumor–immune interactions, treatment resistance, and recurrence. His 2026 publications address myeloid-mediated immunoregulation and resistance to immune checkpoint inhibitor therapy as well as clinical recurrence in oral tongue squamous cell carcinoma. [1] [2] The associated working paper further indicates continuity in the investigation of myeloid-mediated immunoregulation. [3]

References

  1. Hadi, Jaafar A.; Nizami, Zohra N.; Noor, Ahmed Tajmim; Osman, Abdullah A.; Myers, Jeffrey N. (2026). Myeloid-Mediated Immunoregulation and Resistance to Immune Checkpoint Inhibitor Therapy Across Squamous Cell Carcinomas: Mechanisms and Reprogramming Strategies. Cancers.
    DOI: https://doi.org/10.3390/cancers18172724
  2. Hadi, Jaafar A.; Li, Guojun; Nizami, Zohra N.; Wang, Jennifer; Reeves, Bridget; Veeramachaneni, Ratna; Roberts, Dianna; Gomez, Lorena Isabel; Kadara, Humam; Mansour, Mena et al. (2026). Smoking Status and Recurrence in Oral Tongue Squamous Cell Carcinoma: Evidence for Convergent Clinical Behavior. Laryngoscope Investigative Otolaryngology.
    DOI: https://doi.org/10.1002/lio2.70477
  3. Hadi, Jaafar A. et al. (2026). Myeloid-Mediated Immunoregulation Across Squamous Cell Carcinomas. Working paper, Multidisciplinary Digital Publishing Institute.
    DOI: https://doi.org/10.20944/preprints202607.1129.v1
  4. Elsevier. (n.d.). Scopus author details: Jaafar Hadi, Author ID 59131794500. Scopus.
    https://www.scopus.com/pages/authors/59131794500

Khalid Saeed | Biometrics | Best Researcher Award

Published on by Petroleum Engineering

Best Researcher Award

Khalid Saeed
Bialystok University of Technology, Poland

Khalid Saeed
Affiliation Bialystok University of Technology
Country Poland
Scopus ID 35183998800
Documents 215
Citations 1,479
h-index 20
Subject Area Biometrics
Event Petroleum Engineering Awards

Khalid Saeed is a researcher affiliated with Bialystok University of Technology in Poland whose reported scholarly profile is associated with biometrics, machine learning, image processing, gait analysis, and biometric recognition systems. The supplied research record lists 215 documents, 1,479 citations, and an h-index of 20. These indicators provide a quantitative view of research activity and citation impact, while individual publications provide additional context regarding the subjects and methods represented in the research portfolio. [1]

Abstract

This academic recognition profile presents the research record of Khalid Saeed in the field of biometrics. The supplied bibliometric information identifies 215 documents, 1,479 citations, and an h-index of 20 in association with Scopus Author ID 35183998800. [1] The publication examples supplied for this profile demonstrate research activity involving biometric gait systems, machine learning, image processing, multimodal biometric recognition, data augmentation, and related computational methods. Recent publications include work on quaternion-based data augmentation for biometric gait systems and a trimodal machine-learning-based biometric system. [2] [3]

Keywords

Biometrics; biometric recognition; gait biometrics; machine learning; computer vision; image processing; data augmentation; multimodal biometrics; trimodal biometrics; pattern recognition; artificial intelligence; sensor data; biometric authentication.

Introduction

Biometric technologies use measurable physical or behavioural characteristics to support the recognition or authentication of individuals. Contemporary biometric research increasingly combines sensing technologies, machine-learning algorithms, signal processing, and computer vision to improve the acquisition and interpretation of biometric information. Within this broader field, gait, fingerprint, anatomical, and other biometric modalities can be examined individually or jointly according to the requirements of a recognition system.[3]

Research Profile

The available profile data place biometrics at the centre of the stated subject area. The publication information further indicates an interdisciplinary connection between biometrics, machine learning, computer vision, sensor processing, and pattern-recognition techniques. Such intersections are characteristic of modern biometric research, where recognition performance depends not only on the selected biometric trait but also on data quality, feature representation, model design, augmentation, and evaluation methodology.

Research Contributions

The supplied publication record indicates several research directions. One concerns biometric gait systems and the generation of additional training samples from sensor-derived information. The 2025 study on quaternion-based augmentation describes a method designed to model common sensor disturbances and evaluate their effect on gait-biometric classification. [2][3]

Publications

Selected publications and scholarly works supplied for this profile are listed below. The list is illustrative rather than a complete bibliography of the reported 215 documents.

  • Earthquake Prediction in Levant Region Using Proposed CNN. M. AlBakoor, Majida; K. Saeed, Khalid; A. Massouh, Akram; N. AlHabbal, Nour. Conference paper.
  • Preface. R. Chaki, Rituparna; A. Cortesi, Agostino; N. Chaki, Nabendu; K. Saeed, Khalid. Editorial.
  • A New Image Thinning Algorithm. P. Milewski, Patryk; K. Saeed, Khalid. Conference paper.
  • Gait-Based Biometric Systems Integrating Augmented and Synthetic Samples. A. Sawicki, Aleksander; K. Saeed, Khalid. Conference paper, open access.
  • Using Machine Learning Techniques to Classify Fetal Congenital Malformations Early. M. AlBakoor, Majida; K. Saeed, Khalid; A. Massouh, Akram; et al. Conference paper.

Research Impact

The supplied bibliometric profile reports 1,479 citations and an h-index of 20 across 215 documents. [1] These metrics indicate a substantial body of indexed scholarly output and citation activity, although bibliometric indicators should be interpreted alongside publication quality, research contribution, authorship roles, field-specific citation practices, and the substantive significance of individual studies.

Award Suitability

Based on the information supplied for this profile, Khalid Saeed presents a research record that is relevant to consideration for a Best Researcher Award in a biometrics-oriented academic context. The reported volume of 215 documents, 1,479 citations, and an h-index of 20 provides quantitative evidence of sustained scholarly activity. [1]

Conclusion

Khalid Saeed’s supplied academic profile describes an established research record in biometrics and associated computational disciplines. The reported bibliometric indicators, together with selected publications on gait biometrics, biometric data augmentation, machine learning, and multimodal recognition, provide a basis for evaluating his scholarly activity. [1] [2] [3]

References

  1. Elsevier. (n.d.). Scopus author details: Khalid Saeed, Author ID 35183998800. Scopus.
    https://www.scopus.com/pages/authors/35183998800
  2. Sawicki, A., & Saeed, K. (2025). A quaternion-based augmenting method dedicated to biometric gait systems. International Journal of Applied Mathematics and Computer Science, 35(4), 631–649.
    DOI: https://doi.org/10.61822/amcs-2025-0045
  3. Szymkowski, M., & Saeed, K. (2025). Trimodal machine learning based biometrics system. Scientific Reports, 15, Article 20949.
    DOI: https://doi.org/10.1038/s41598-025-06288-z

Timur Hogea | Health | Best Researcher Award

Published on by Petroleum Engineering

Best Researcher Award

Timur Hogea
George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures

Timur Hogea
Affiliation George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures
Country Romania
Scopus ID 57312656000
Documents 14
Citations 81
h-index 5
Subject Area Health
Event Petroleum Engineering Awards
Orcid 0000-0002-6575-4925

Timur Hogea is a researcher affiliated with the George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures in Romania. His recorded scholarly output is situated within the health sciences and includes collaborative research involving forensic medicine, pathology, ophthalmic research, cardiovascular pathology, toxicology and public-health-related subjects. The available research record identifies 14 documents, 81 citations and an h-index of 5 under Scopus author identification 57312656000. These bibliometric details provide a quantitative overview of the indexed research record and should be interpreted in conjunction with publication quality, authorship contributions and disciplinary context. [1]

Abstract

Timur Hogea is associated with a multidisciplinary health-science research portfolio involving forensic and clinical investigations. His recent publication record includes studies of post-splenectomy gastric perforation, complex mechanisms of death, sociodemographic and toxicological characteristics of suicide deaths, photochemical crosslinking of tarsal collagen for eyelid laxity, and histological assessment of epicardial adipose tissue in relation to coronary plaque vulnerability. [2] [3] [4] [5] [6] Collectively, these publications demonstrate participation in collaborative investigations spanning forensic medicine, pathology, ophthalmic research, toxicology and cardiovascular pathology.

Keywords

Timur Hogea; health sciences; forensic medicine; legal medicine; forensic pathology; toxicology; sudden cardiac death; cardiovascular pathology; ophthalmic research; suicide prevention; public health; histopathology; collaborative research.

Introduction

Academic research in health sciences frequently requires collaboration across clinical, pathological, forensic and laboratory disciplines. Within this context, Hogea’s indexed publications reflect participation in studies addressing both individual clinical findings and broader questions concerning mechanisms of death and disease. His publication record includes work appearing in Legal Medicine, Ophthalmic Plastic and Reconstructive Surgery, and Diagnostics, among other scholarly outputs. [2] [5] [6]

Research Profile

The documented research profile is centered on health-related scientific investigation, with notable representation in forensic medicine and pathology. The subject areas represented by the supplied publications include medicolegal examination, reconstruction of fatal events, toxicological characterization, tissue-based investigation and cardiovascular histopathology. [2] [3] [4] [6]

  • Forensic and legal medicine, including investigation of unusual and complex fatal events.
  • Forensic pathology and histological investigation of pathological findings.
  • Toxicological and sociodemographic analysis relevant to suicide and public-health research.

Research Contributions

The supplied publication record indicates contributions to several applied areas of health research. In legal medicine, Hogea is listed among the contributors to a 2026 case report and literature review concerning post-splenectomy gastric perforation. [2] He is also a contributor to a 2026 study reconstructing the terminal mechanism in a complex suicide involving thoraco-abdominal stabbing and drowning. [3]

Publications

Selected publications and scholarly outputs supplied for this profile are listed below. The list is limited to representative works for which bibliographic and DOI information was provided.

  1. Nagy, Noemi; Jung, Harald; Chinezu, Laura; Carasca, Cosmin; Hogea, Timur. Post-splenectomy gastric perforation- case report and literature review. Legal Medicine, 2026.
  2. Ungur, Oana; Hogea, Timur; Carașca, Cosmin; Siklódi Pálfi, Barbara; Radu, Carmen Corina. Self-inflicted Thoraco-abdominal stabbing followed by bathtub drowning: Reconstruction of the terminal mechanism in a complex suicide. Legal Medicine, 2026.
  3. Radu, Carmen Corina; Hogea, Timur; Carașca, Cosmin; Radu, Casandra-Maria; Pașcan, Emil Marius. Sociodemographic and Toxicological Characteristics of Suicide Deaths: Implications for Suicide Prevention and Public Health Communication. Preprint, 2026.

Research Impact

The supplied bibliometric profile records 14 documents, 81 citations and an h-index of 5. These indicators provide measurable evidence of indexed scholarly activity and citation uptake within the available Scopus record. [1] Bibliometric indicators are quantitative measures and do not independently establish the quality, originality or societal importance of individual research contributions.[2] [3] [4]

Award Suitability

Based on the supplied academic record, Timur Hogea presents a research profile that can be considered for recognition under a best researcher category associated with the Petroleum Engineering Awards only if the award’s eligibility framework permits nominations from broader health and interdisciplinary research fields. His documented scholarly activity demonstrates peer-reviewed and preprint contributions, multidisciplinary collaboration, an indexed Scopus profile, and research addressing specialized questions in forensic medicine, pathology, toxicology, ophthalmic tissue research and cardiovascular investigation. [1] [2] [5]

Conclusion

Timur Hogea’s supplied research record describes an interdisciplinary health-science researcher affiliated with the George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures. His documented publications cover legal medicine, forensic investigation, toxicology, ophthalmic tissue research and cardiovascular pathology. The recorded Scopus indicators of 14 documents, 81 citations and an h-index of 5 provide a quantitative summary of his indexed scholarly activity. [1] The publication record further demonstrates collaborative participation in research addressing clinically and forensically relevant questions. [2] [3] [6]

References

  1. Elsevier. (n.d.). Scopus author details: Timur Hogea, Author ID 57312656000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57312656000
  2. Nagy, Noemi; Jung, Harald; Chinezu, Laura; Carasca, Cosmin; Hogea, Timur. (2026). Post-splenectomy gastric perforation- case report and literature review. Legal Medicine.
    DOI: https://doi.org/10.1016/J.LEGALMED.2026.102824
  3. Ungur, Oana; Hogea, Timur; Carașca, Cosmin; Siklódi Pálfi, Barbara; Radu, Carmen Corina. (2026). Self-inflicted Thoraco-abdominal stabbing followed by bathtub drowning: Reconstruction of the terminal mechanism in a complex suicide. Legal Medicine.
    DOI: https://doi.org/10.1016/j.legalmed.2026.102953
  4. Radu, Carmen Corina; Hogea, Timur; Carașca, Cosmin; Radu, Casandra-Maria; Pașcan, Emil Marius. (2026). Sociodemographic and Toxicological Characteristics of Suicide Deaths: Implications for Suicide Prevention and Public Health Communication. Preprints.
    DOI: https://doi.org/10.20944/preprints202605.1221.v1
  5. Manta, Alexandra I.; Pop, Nadja E.; Tripon, Robert G.; Vultur, Florina; Suzuki, Shuko; Cordos, Bogdan A.; Radu, Carmen C.; Hogea, Timur; Carasca, Cosmin; Horvath, Karin U. et al. (2025). Photochemical Crosslinking of Tarsal Collagen as a Treatment for Eyelid Laxity: Evaluation in Ex Vivo Human Tissue. Ophthalmic Plastic and Reconstructive Surgery.
    DOI: https://doi.org/10.1097/IOP.0000000000002709
  6. Niculescu, Raluca; Muresan, Alexandru; Radu, Carmen Corina; Hogea, Timur Robert; Cocuz, Iuliu Gabriel; Sabau, Adrian Horatiu; Russu, Eliza; Arbanasi, Emil Marian; Arbanasi, Eliza Mihaela; Muresan, Adrian Vasile et al. (2025). Predictive Value of Epicardial Adipose Tissue Thickness for Plaque Vulnerability in Left Coronary Arteries: Histological Evidence from 245 Sudden Cardiac Death Cases. Diagnostics.
    DOI: https://doi.org/10.3390/DIAGNOSTICS15121491

Janan Abbas | Health | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Janan Abbas
Zefat Academic College, Israel

Janan Abbas
Affiliation Zefat Academic College
Country Israel
Scopus ID 24070039400
Documents 37
Citations 764
h-index 18
Subject Area Health
Event Petroleum Engineering Awards
ORCID 0000-0001-7251-5386

Janan Abbas is a researcher whose published work addresses musculoskeletal health, spinal morphology, lumbar spinal stenosis, vertebral morphometry, and physical-health outcomes among student populations. The available publication record includes peer-reviewed journal articles examining anatomical, biomechanical, and epidemiological dimensions of musculoskeletal conditions. These studies collectively provide a research profile connecting structural characteristics of the spine with clinical and functional outcomes. [1]

Abstract

Janan Abbas has developed a publication record focused on musculoskeletal health and anatomical research, with particular attention to the lumbar spine, vertebral morphology, degenerative lumbar spinal stenosis, and musculoskeletal pain. The research portfolio includes longitudinal investigation of hip muscle length and musculoskeletal pain among undergraduates, studies of spinal morphometry and degenerative lumbar spinal stenosis, and research concerning low back pain among physiotherapy students. [1] [2] [3] The body of work demonstrates an interdisciplinary approach combining anatomical measurement, musculoskeletal assessment, epidemiological observation, and clinically relevant analysis.

Keywords

  • Musculoskeletal Health
  • Lumbar Spine
  • Vertebral Morphometry
  • Lumbar Spinal Stenosis
  • Low Back Pain
  • Hip Muscle Length

Introduction

Musculoskeletal disorders represent an important area of health research because pain, restricted movement, degenerative changes, and structural abnormalities can influence physical function and quality of life. Research into the anatomical and functional characteristics of the lumbar spine can contribute to a more detailed understanding of conditions such as degenerative lumbar spinal stenosis. Abbas and collaborators have investigated several anatomical characteristics associated with lumbar spinal stenosis, including vertebral morphometry, pedicle dimensions, spinous-process inclination, and facet orientation. [4] [5]

Research Profile

The documented research profile of Janan Abbas is centered primarily on health sciences and musculoskeletal research. The publication record includes work in Medicina, Life, Journal of American College Health, and BioMed Research International. The topics range from contemporary musculoskeletal-health questions to detailed anatomical investigations of the vertebral column. [1] [2] [3] [4]

Research Contributions

Several identifiable themes characterize the research contributions represented in the supplied publication record:

  • Musculoskeletal pain research: Investigation of musculoskeletal pain and its relationship with physical and anatomical characteristics among undergraduate populations. [1]
  • Spinal anatomy: Quantitative examination of vertebral and spinal structures relevant to degenerative lumbar conditions. [4]
  • Degenerative lumbar spinal stenosis: Research addressing vertebral morphometry, facet tropism and orientation, pedicle morphology, and spinous-process inclination. [4] [5]
  • Student health: Assessment of low back pain among physiotherapy students and consideration of changes during the COVID-19 outbreak. [3]

Publications

Selected publications from the supplied record are presented below. DOI identifiers are provided where available to support direct verification of the published articles.

  1. Musculoskeletal Pain and Hip Muscle Length Among Undergraduates: A Longitudinal Study of 1 Year. Medicina, 2026.
  2. Evolutionary Specializations of the Human Vertebral Body and Intervertebral Disc in Relation to Bipedalism. Life, 2026.
  3. Has the COVID-19 outbreak altered the prevalence of low back pain among physiotherapy students? Journal of American College Health, 2023.

Research Impact

The research record has a clear emphasis on clinically and anatomically relevant questions. Studies of vertebral morphometry and other spinal characteristics can contribute to the scientific understanding of anatomical variation associated with degenerative lumbar spinal stenosis. [4][5] The publication addressing spinous-process inclination further expands this structural perspective.

Award Suitability

The supplied publication record provides a substantive basis for consideration under an innovative research recognition category. Its principal strengths include a sustained focus on musculoskeletal and spinal research, publication across established peer-reviewed journals, collaborative research activity, and a combination of anatomical and population-health approaches. [1] [2] [4]

Conclusion

Janan Abbas’s research profile is characterized by scholarly work in musculoskeletal health, spinal anatomy, vertebral morphometry, degenerative lumbar spinal stenosis, and low back pain. The supplied publications demonstrate research spanning structural anatomy, longitudinal musculoskeletal assessment, student health, and evolutionary aspects of the vertebral column. [1] [2] [3]

References

  1. Abbas, J.; Reif, N.; Hamoud, K. (2026). Musculoskeletal Pain and Hip Muscle Length Among Undergraduates: A Longitudinal Study of 1 Year. Medicina, 62(8), 1548.
    DOI: https://doi.org/10.3390/medicina62081548
  2. Hershkovitz, I.; Latimer, B.; Abbas, J.; Hejja, M.; Medlej, B.; Rapoport, H.; Kedar, E.; Ezra, D.; Rybak, I.; Sella Tunis, T.; et al. (2026). Evolutionary Specializations of the Human Vertebral Body and Intervertebral Disc in Relation to Bipedalism. Life, 16(3), 466.
    DOI: https://doi.org/10.3390/life16030466
  3. Abbas, J.; Hamoud, K.; Jubran, R.; Daher, A. (2023). Has the COVID-19 outbreak altered the prevalence of low back pain among physiotherapy students? Journal of American College Health.
    DOI: https://doi.org/10.1080/07448481.2021.1953505
  4. Abbas, J.; Peled, N.; Hershkovitz, I.; Hamoud, K.; Shetty, A. P. (2021). The Role of Vertebral Morphometry in the Pathogenesis of Degenerative Lumbar Spinal Stenosis. BioMed Research International.
    DOI: https://doi.org/10.1155/2021/7093745
  5. Abbas, J. (2020). Facet Tropism and Orientation: Risk Factors for Degenerative Lumbar Spinal Stenosis. BioMed Research International.
    DOI: https://doi.org/10.1155/2020/2453503

Hussein Ali Ahmed Ghanim | Computer Science | Innovative Research Award

Published on by Petroleum Engineering

Innovative Research Award

Hussein Ali Ahmed Ghanim
University of Kassala

Hussein Ali Ahmed Ghanim
Affiliation University of Kassala
Country Sudan
Documents 18
Subject Area Computer Science
Event Petroleum Engineering Awards
Orcid 0009-0008-0639-967X

Hussein Ali Ahmed Ghanim is a researcher affiliated with the University of Kassala whose reported scholarly work spans computer science, artificial intelligence, educational technology, text mining, adaptive assessment, and digital infrastructure. His recent publication record includes studies addressing artificial intelligence-assisted examination design, adaptive e-tutoring, government recruitment analytics, and the relationship between digital infrastructure and sustainable economic growth. These themes demonstrate an interdisciplinary research profile connecting computational methods with educational, administrative, and socioeconomic applications.[1][2]

Abstract

Hussein Ali Ahmed Ghanim’s research profile is characterized by the application of computational intelligence and data-driven methods to practical problems in education, public-sector decision support, and sustainable development. His recent work includes artificial intelligence-driven examination question design, adaptive student assessment, e-tutoring behavior modeling, text mining for government hiring, and analysis of digital infrastructure in developing economies. Several of these studies incorporate artificial intelligence, machine learning, ontology modeling, fuzzy logic, and quantitative econometric approaches to address complex decision-making problems.[3][4] The breadth of these applications places his research at the intersection of computer science and interdisciplinary digital transformation.

Keywords

Artificial intelligence; computer science; educational technology; e-tutoring; adaptive assessment; fuzzy logic; ontology modeling; text mining; decision support; government recruitment; digital infrastructure; sustainable economic growth; machine learning; examination question generation; data-driven research.

Introduction

The increasing use of artificial intelligence and computational analytics has expanded the role of computer science research in domains traditionally addressed through educational, administrative, and economic methodologies. In this context, Ghanim’s recent work explores how computational models can support the design of assessments, personalization of learning, institutional decision-making, and empirical analysis of development-related questions.[5]

Research Profile

The available publication information indicates an interdisciplinary research profile within Computer Science. The reported portfolio contains 18 documents, while citation and h-index values were not supplied in the available researcher information. His recent research can be organized into several principal areas:

  • Artificial intelligence applications in education, particularly automated examination question design and generation.
  • Adaptive e-tutoring systems involving student knowledge assessment and behavioral modeling.
  • Text mining and intelligent decision-support methods for government recruitment and resume analysis.
  • Digital infrastructure and its relationship with sustainable economic growth in developing countries.
  • Computational modeling methods incorporating intuitionistic fuzzy logic and ontology-based representations.

Research Contributions

A significant component of the reported research concerns the use of artificial intelligence in educational assessment. The work on AI-driven examination question design and generation addresses pedagogical considerations alongside explainability and fairness, thereby treating automated assessment generation as a multidisciplinary problem rather than solely as a technical generation taskRelated research on adaptive student knowledge assessment proposes an approach based on intuitionistic fuzzy logic and ontology modeling.[3]

Publications

The following selected publications and research outputs are based on the supplied publication information. They illustrate the breadth and recent development of Ghanim’s research activities.

  • Artificial Intelligence in Education: Enhancing Exam Question Design and Generation. Journal article, 2026. Contributors include Anas A. Ballah, Hussein A. A. Ghanim, Abdallah Hageltoum, and Salwa Idris.
  • Heterogeneous Effects of Digital Infrastructure on Sustainable Economic Growth: Panel Fixed Effects Evidence from Developing Countries (2014–2025). Sustainability, 2026.[2]
  • Adaptive Student Knowledge Assessment in E-Tutoring Systems: An Intuitionistic Fuzzy Logic and Ontology Modeling Approach. Preprint, 2026.[3]

Research Impact

The potential significance of Ghanim’s research lies in its application-oriented treatment of artificial intelligence and computational methods. In education, automated question generation and adaptive assessment can contribute to research on scalable assessment workflows and learner-centered digital systems. The inclusion of explainability and fairness in examination question design further recognizes the importance of responsible development when AI is applied to educational decisions.[2]

Award Suitability

The research profile is relevant to an Innovative Research Award because the documented work applies contemporary computational methods to multiple practical domains. The portfolio demonstrates recurring engagement with artificial intelligence, adaptive systems, text mining, ontology-based modeling, fuzzy logic, and empirical data analysis.

Conclusion

Hussein Ali Ahmed Ghanim’s reported research portfolio presents an interdisciplinary computer science profile centered on artificial intelligence, educational technology, intelligent decision support, text mining, and data-driven analysis. His recent publications demonstrate applications ranging from adaptive e-tutoring and examination question generation to government recruitment analytics and digital infrastructure research.

References

  1. Elsevier. (n.d.). Scopus author details: Hussein Ali Ahmed Ghanim. Scopus.
  2. Omer, Safia; Ghanim, Hussein; Ahmed, Ismaeel; Yousif, Ghadda; Elmonshid, Lena. (2026). Heterogeneous Effects of Digital Infrastructure on Sustainable Economic Growth: Panel Fixed Effects Evidence from Developing Countries (2014–2025). Sustainability.
    DOI: https://doi.org/10.3390/su18168202
  3. Hussein Ali Ahmed Hussain; Sultan Almutairi; Mukhtar M. E. Mahmoud; Abdullah Albalawi; Laszlo Kovacs. (2026). Adaptive Student Knowledge Assessment in E-Tutoring Systems: An Intuitionistic Fuzzy Logic and Ontology Modeling Approach. Preprint.
    DOI: https://doi.org/10.21203/rs.3.rs-10421734/v1
  4. Ballah, Anas A.; Ghanim, Hussein A. A.; Hageltoum, Abdallah; Idris, Salwa. (2026). Artificial Intelligence in Education: Enhancing Exam Question Design and Generation. Journal article.
  5. Ghanim, Hussein A. A.; Ballah, Anas A.; Hageltoum, I. Abdallah; Idris, Salwa. (2026). AI-Driven Framework for Exam Question Design and Generation: Pedagogy, Explainability and Fairness. International Journal of Science and Research Archive.
    DOI: https://doi.org/10.30574/ijsra.2026.18.1.0093

 

Utkarsh Sinha | Reservoir | AI and Automation in Petroleum Award

Published on by Petroleum Engineering

AI and Automation in Petroleum Award

Utkarsh Sinha
Xecta Digital Labs

Utkarsh Sinha
Affiliation Xecta Digital Labs
Country United States
Scopus Id 58220906100
Documents 30
Citations 220
h-index 8
Subject Area Reservoir
Event Petroleum Engineering Awards

Utkarsh Sinha is presented in the context of the AI and Automation in Petroleum Award for a research and professional profile associated with reservoir-focused petroleum engineering and the application of computational approaches to energy-sector challenges. The profile supplied for this recognition includes 30 indexed documents, 220 citations, and an h-index of 8. These bibliometric indicators provide a quantitative basis for describing research visibility, while the award assessment should also consider the technical relevance, originality, reproducibility, and practical contribution of the underlying work.

Abstract

Artificial intelligence and automation are increasingly incorporated into petroleum engineering workflows involving reservoir characterization, production optimization, uncertainty analysis, subsurface modelling, and operational decision support. Machine-learning methods can complement established reservoir-engineering techniques by processing heterogeneous datasets and identifying relationships that may be difficult to capture through conventional analytical approaches. Reviews of artificial intelligence in petroleum engineering have identified applications spanning exploration, drilling, production, reservoir management, and related decision processes. [2]

Keywords

  • Artificial intelligence
  • Automation
  • Petroleum engineering
  • Reservoir engineering
  • Machine learning

Introduction

The petroleum industry generates large volumes of geological, geophysical, petrophysical, drilling, production, and reservoir-management data. The increasing availability of computational infrastructure has created opportunities to apply machine learning, statistical modelling, automated workflows, and other artificial-intelligence techniques to subsurface and production problems. In petroleum engineering, these technologies are generally used as complementary tools that support interpretation and decision-making rather than as universal replacements for physical models and engineering judgment. [2]

Research Profile

The supplied research profile identifies Utkarsh Sinha with Xecta Digital Labs in the United States and associates the profile with the Reservoir subject area. The reported Scopus identifier is 58220906100. The supplied bibliometric information records 30 documents, 220 citations, and an h-index of 8. These values are presented as profile information provided for the award article and should be interpreted in accordance with the indexing and citation practices of the relevant bibliographic database.

Research Contributions

The AI and Automation in Petroleum Award is aligned with research that connects computational intelligence with established petroleum-engineering objectives. In reservoir engineering, artificial-intelligence approaches may assist with the analysis of high-dimensional datasets, surrogate modelling, prediction of reservoir properties, production forecasting, and optimization. Neural-network and machine-learning techniques have been investigated for reservoir characterization and related subsurface workflows, although their reliability depends substantially on representative training data and appropriate validation procedures. [3][2]

Publications

The supplied profile indicates 30 documents indexed under the stated Scopus author identifier. This article does not assign individual publication titles, journals, years, or Digital Object Identifiers to Utkarsh Sinha unless those bibliographic details have been independently supplied or verified. The document count is therefore presented as a profile-level bibliometric measure rather than as a reconstructed publication list. [1]

Research Impact

The supplied record of 220 citations and an h-index of 8 indicates measurable scholarly visibility within the indexed research record. [1] Citation counts can help contextualize the reach of a research portfolio, but they can vary according to database coverage, publication type, field-specific citation practices, and the date on which the record is evaluated.

Award Suitability

Based on the information supplied for this article, Utkarsh Sinha’s profile is relevant to the thematic scope of the AI and Automation in Petroleum Award through its stated Reservoir subject area and its association with a research record indexed under Scopus author identifier 58220906100. The reported 30 documents, 220 citations, and h-index of 8 provide quantitative context for evaluating the profile. [1]

Conclusion

The AI and Automation in Petroleum Award recognizes the intersection of computational intelligence, automation, and petroleum-engineering research. The supplied profile for Utkarsh Sinha, affiliated with Xecta Digital Labs in the United States, identifies a Reservoir subject area and reports 30 documents, 220 citations, and an h-index of 8. These indicators establish a quantitative profile for consideration, while a complete award evaluation should additionally examine the specific technical contributions, publications, methodological quality, practical relevance, and evidence of impact associated with the nominee.

References

  1. Elsevier. (n.d.). Scopus author details: Utkarsh Sinha, Author ID 58220906100. Scopus.
    https://www.scopus.com/pages/authors/58220906100
  2. Mohaghegh, S. D. (2005). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology, 57(4), 86–93. DOI: 10.2118/89033-JPT.
    https://doi.org/10.2118/89033-JPT
  3. Mohaghegh, S. D. (1995). Recent developments in application of artificial intelligence in petroleum engineering. Journal of Petroleum Technology. The literature on neural-network and artificial-intelligence applications provides a foundation for evaluating data-driven approaches in petroleum engineering.
  4. Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85–117.
    https://doi.org/10.1016/j.neunet.2014.09.003