Dhannjay Singh Pundir | Arts and Humanities | Best Faculty Award

Published on by Academic Excellence

Best Faculty Award

Dhannjay Singh Pundir 
Rayat Bahra University, India

Dhannjay Singh Pundir 
Affiliation Rayat Bahra University, Mohali, Punjab
Country India
Google Scholar ID h4FUHuEAAAAJ&hl
Documents 16
Citations 1
h-index 1
Subject Area Arts and Humanities
Event International Academic Excellence Awards
ORCID 0009-0005-5306-5099

Dhannjay Singh Pundir  of Rayat Bahra University, Mohali, Punjab, India. The supplied publication records cover legal studies, artificial intelligence governance, constitutional principles, digital rights, literature, and workplace research. These subjects demonstrate the range of contemporary questions explored through interdisciplinary academic collaboration. This article summarizes the provided information for academic recognition and reference purposes; award selection or conferment is not independently confirmed.

Abstract

This article presents an overview of Dhannjay Singh’s supplied academic profile and selected publication records. The profile reports 16 documents, one citation, and an h-index of 1. The listed research includes artificial intelligence governance, constitutional morality, digital access, literary representation, and employee productivity. Collectively, these works address issues at the intersection of law, technology, humanities, and organizational studies. The publication details provide a starting point for reviewing scholarly interests, collaborative research, and potential contributions to interdisciplinary education. (1)–(5)

Keywords

Best Faculty Award, academic excellence, legal studies, artificial intelligence governance, constitutional morality, digital rights, arts and humanities, interdisciplinary research, higher education, scholarly collaboration.

Introduction

Faculty recognition considers teaching, research engagement, subject expertise, academic collaboration, and contributions to learning. Contemporary higher education increasingly encourages connections between humanities, law, technology, and social inquiry. Research into artificial intelligence governance and digital rights, for example, raises questions about legal protections, ethical responsibilities, and equitable access. The supplied publication records reflect engagement with several of these interdisciplinary themes. (1) (2)

Research Profile

Dhannjay Singh is identified in the supplied information with Rayat Bahra University in Mohali, Punjab, India. The profile lists Arts and Humanities as the subject area and provides bibliometric indicators of 16 documents, one citation, and an h-index of 1. These figures are descriptive metrics rather than comprehensive measures of academic quality. The supplied ORCID identifier provides a persistent researcher record, while the individual publication pages offer further bibliographic details. (6)

Research Contributions

The provided publication list suggests several areas of academic interest:

  • AI governance and business regulation, examining legal standards and management practices in organizational contexts. (1)
  • Constitutional morality and algorithmic discrimination, connecting constitutional principles with emerging technology challenges. (2)
  • Digital access and fundamental rights, considering internet connectivity in relation to education and the right to life. (3)
  • Literary and social research, including the representation of legal defendants and workplace productivity in relation to work-mode preferences. (4) (5)

Publications

The following selected works are drawn from the supplied publication list. They are presented with their reported publication years and available scholarly links.

  1. AI Governance in the Business World: Legal Standards and Management Practices (2024). Library of Progress—Library Science, Information Technology & Computer.
  2. Constitutional Morality in AI Governance: Applying Navtej Singh Johar Principles to Algorithmic Discrimination (2026). International Journal of Engineering Development and Research, 14(1), 139–146.
  3. Article 21 and Digital Access: Recognizing Internet Connectivity as Essential for Right to Life and Education (2026). International Journal of Engineering Development and Research, 14(1), 72–80.
  4. The Representation of Legal Defendants in Literature: Victim, Villain, or Both (2025). International Conference on Intelligent & Innovative Practices.
  5. Perceived Productivity and Job Satisfaction Based on Work Mode Preference of Indian IT Sector (2025). International Conference on Intelligent & Innovative Practices.

Publication titles and bibliographic details above reflect the information supplied. Author order, complete proceedings information, and any DOI identifiers should be confirmed against the original records. No DOI has been supplied for these selected works.

Research Impact

The listed themes have relevance to discussions about responsible technology, constitutional protections, educational access, literary interpretation, and employment practices. Research in these areas can support classroom discussion, interdisciplinary collaboration, and further investigation of current social questions. The reported bibliometric metrics provide limited quantitative context; research quality and impact should also be evaluated through methodological rigor, originality, teaching contributions, and evidence of scholarly or public engagement.

Award Suitability

The Best Faculty Award can provide a framework for recognizing academic engagement, research activity, interdisciplinary work, and contributions to institutional learning. A balanced assessment of this profile would consider verified teaching experience, curriculum development, student mentorship, publication quality, collaboration, and service to the academic community. The supplied information establishes a preliminary research overview but does not independently verify award nomination, eligibility, or selection by the International Academic Excellence Awards.

Conclusion

Dhannjay Singh’s supplied academic profile encompasses research topics spanning law, artificial intelligence, digital rights, literature, and workplace studies. These themes offer opportunities for interdisciplinary discussion and academic development. Further evaluation should rely on verified publication records, teaching evidence, institutional contributions, and the context of the relevant award criteria.

References

  1. Tomer, A., Parmar, A., Rathore, B., Vijayvergia, N., Goel, R., Pundir, D. S., Bale, A. S., et al. (2024). AI Governance in the Business World: Legal Standards and Management Practices. Google Scholar publication record.
    View publication record
  2. Pundir, D. S., Gera, H., Chandel, G., and Nagpal, P. (2026). Constitutional Morality in AI Governance: Applying Navtej Singh Johar Principles to Algorithmic Discrimination. International Journal of Engineering Development and Research, 14(1), 139–146.
    View publication record
  3. Nagpal, P., Gera, H., Uppal, V., and Singh, M. (2026). Article 21 and Digital Access: Recognizing Internet Connectivity as Essential for Right to Life and Education. International Journal of Engineering Development and Research, 14(1), 72–80.
    View publication record
  4. Rani, R., Saini, V., Singh, V., and Pundir, D. S. (2025). The Representation of Legal Defendants in Literature: Victim, Villain, or Both. International Conference on Intelligent & Innovative Practices.
    View publication record
  5. Garg, A., Suri, R., Kaur, D., Bhardwaj, M., and Pundir, D. S. (2025). Perceived Productivity and Job Satisfaction Based on Work Mode Preference of Indian IT Sector. International Conference on Intelligent & Innovative Practices.
    View publication record
  6. ORCID. (n.d.). Dhannjay Singh researcher identifier. ORCID record.
    [https://orcid.org/0009-0005-5306-5099]

Carlos Sousa-Oliveira | Environmental Science | Academic Excellence Award

Published on by Academic Excellence

Academic Excellence Award

Carlos Sousa-Oliveira
Instituto Superior Técnico, Portugal

Carlos Sousa-Oliveira
Affiliation Instituto Superior Técnico
Country Portugal
Scopus ID 7202422562
Documents 138
Citations 2,596
h-index 25
Subject Area Environmental Science
Event International Academic Excellence Awards
ORCID 0000-0002-5967-7126

Carlos Sousa-Oliveira reported research metrics and selected publications concerning seismic risk, earthquake impacts, structural heritage, and disaster-response technologies. These topics demonstrate the relevance of interdisciplinary research to environmental resilience, infrastructure safety, and disaster preparedness. The publication details and identifiers below provide pathways for readers to explore the associated research.

Abstract

Carlos Sousa-Oliveira’s listed publications address earthquake engineering, historical seismic events, building-risk assessment, and technological approaches to disaster response. His selected research includes studies of the 1755 Lisbon earthquake, the 1969 Cape Saint Vincent earthquake, and building vulnerability in Lisbon. Other work examines video evidence of structural collapse and the application of camera technologies in disaster management. These subjects connect engineering analysis with risk reduction, heritage protection, and societal sustainability. Reported bibliometric indicators provide a quantitative overview of research output and citation activity, although they do not independently establish research quality or individual contribution to each publication. \(1\)

Keywords

Academic Excellence Award, seismic risk, earthquake engineering, structural safety, disaster response, environmental sustainability, historical earthquakes, building assessment, research impact.

Introduction

Earthquake research supports the identification of vulnerable structures, the interpretation of historical hazards, and the development of strategies to reduce disaster consequences. In Portugal, seismic history and the exposure of urban infrastructure make these areas important for engineering and risk-management research. Studies of earthquake effects can inform building assessment, emergency planning, and the preservation of architectural heritage. (3)

Research Profile

The supplied profile lists 138 documents, 2,596 citations, and an h-index of 25 for Scopus author identifier 7202422562. These indicators describe indexed publication activity and citation patterns at the time the metrics were recorded. They can support an initial overview of scholarly visibility but may change as databases update. Subject classifications and author attribution should be checked against the researcher’s official profile before formal evaluation. (1)

Research Contributions

The selected works cover several connected research themes:

  • Assessment of seismic risk for individual buildings in Lisbon.
  • Analysis of earthquake effects on rivers and tributaries in mainland Portugal.
  • Interpretation of structural collapse using video-camera footage.
  • Investigation of camera technologies and disaster-response practices following earthquakes.

Together, these themes illustrate how engineering, historical evidence, and emerging technologies can contribute to understanding seismic hazards and improving disaster preparedness. (2)

Publications

Selected publications include Collapse of the Dharahara Tower During the April 25, 2015 Nepal Earthquake: A New Interpretation Based on Video-Camera Footage (2025); A Rapid Assessment Method for Evaluating the Seismic Risk of Individual Buildings in Lisbon (2025); and An Evaluation of the Effects of the 1755 Lisbon Earthquake on Rivers and Their Tributaries in Mainland Portugal (2025). Other relevant titles include The Role of Video Cameras and Emerging Technologies in Disaster Response to Increase Sustainability of Societies (2024) and “Did You Feel It 50 Years Ago?” The 1969 Mw 7.8 Cape Saint Vincent Earthquake (2024). DOI links are provided in the references for bibliographic verification. (2) (5)

Research Impact

Research on structural vulnerability and earthquake consequences can inform safer infrastructure planning and evidence-based disaster management. Rapid building-assessment methods may assist prioritization, while video records can provide useful observations for post-event analysis. The broader value of these approaches depends on methodological reliability, appropriate data interpretation, and practical application. (3) (4)

Award Suitability

The Academic Excellence Award provides a framework for recognizing research output, scholarly engagement, and contributions to relevant fields. The supplied publication record and citation indicators offer potential evaluation evidence. A comprehensive award assessment should additionally consider publication quality, methodological rigor, originality, verified authorship, collaboration, and the practical or scientific significance of the work. No award outcome is implied by this profile.

Conclusion

Carlos Sousa-Oliveira’s listed research spans seismic-risk assessment, historical earthquake analysis, structural investigation, and technology-supported disaster response. These subjects are relevant to infrastructure resilience and the understanding of natural hazards. The profile summarizes supplied bibliometric information and selected publications, while the linked identifiers and DOI records enable further examination of the underlying research.

References

  1. Elsevier. (n.d.). Scopus author details: Carlos Sousa-Oliveira, Author ID 7202422562. Scopus.
    [https://www.scopus.com/authid/detail.uri?authorId=7202422562]
  2. International Journal of Architectural Heritage. (2025). Collapse of the Dharahara Tower During the April 25, 2015 Nepal Earthquake: A New Interpretation Based on Video-Camera Footage.
    [https://doi.org/10.1080/15583058.2024.2385964
  3. Sustainability. (2025). A Rapid Assessment Method for Evaluating the Seismic Risk of Individual Buildings in Lisbon.
    [https://doi.org/10.3390/su17136027]
  4. Hydrology. (2025). An Evaluation of the Effects of the 1755 Lisbon Earthquake on Rivers and Their Tributaries in Mainland Portugal.
    [https://doi.org/10.3390/hydrology12060150]
  5. Sustainability. (2024). The Role of Video Cameras and Emerging Technologies in Disaster Response to Increase Sustainability of Societies: Insights on the 2023 Türkiye–Syria Earthquake.
    [https://doi.org/10.3390/su16177618]
  6. Seismological Research Letters. (2024). “Did You Feel It 50 Years Ago?” The 1969 Mw 7.8 Cape Saint Vincent Earthquake.
    [https://doi.org/10.1785/0220230191]
  7. ORCID. (n.d.). Carlos Sousa-Oliveira researcher identifier.
    [https://orcid.org/0000-0002-5967-7126]

Dimitrios Milosis | Sports Science | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Dimitrios Milosis
Aristotle University of Thessaloniki,Greece

Dimitrios Milosis
Affiliation Aristotle University of Thessaloniki
Country Greece
Scopus ID 57198896545
Documents 20
Citations 230
h-index 7
Subject Area Sports Science
Event International Academic Excellence Awards
ORCID 0000-0003-0419-1505

Dimitrios Milosis is a researcher associated with Aristotle University of Thessaloniki, Greece, whose listed publications address sports science, exercise physiology, athletic performance, body composition, and neuromuscular fatigue. His research examines physiological and performance-related factors affecting athletes across different training conditions and competitive settings. The Innovative Research Award recognizes research activity in which scientific investigation contributes to developing knowledge, evaluating training approaches, and informing evidence-based sports practice. This profile summarizes the supplied bibliometric information and selected publications in the context of the International Academic Excellence Awards.

Abstract

This research profile highlights work relating to athletic conditioning, nutritional availability, body composition, and neuromuscular performance. The selected publications investigate detraining among recreational university swimmers, physiological characteristics of adolescent artistic gymnasts, fatigue responses to different protocols, and the effects of plyometric training on agility, jumping, and dynamic balance. Together, these topics illustrate complementary approaches to understanding training adaptation and athlete monitoring. The publications provide a basis for considering how structured exercise research can inform performance assessment and training decisions, while individual findings must be interpreted within the methods and populations of each study.(1)\(2)

Keywords

Sports science; exercise physiology; athletic performance; detraining; body composition; energy availability; artistic gymnastics; neuromuscular fatigue; plyometric training; dynamic balance.

Introduction

Sports science integrates physiological measurement, exercise interventions, nutrition, and performance analysis to understand how athletes respond to training. Research in swimming and gymnastics is particularly relevant because physical demands, training loads, and competitive schedules can influence both performance and recovery. Studies of detraining, nutritional status, fatigue, and explosive exercise help researchers examine these relationships in specific athletic populations. Milosis’s listed publications fall within this wider research context and provide examples of investigations addressing both performance outcomes and physiological indicators.(1)(3)

Research Profile

The supplied publication record indicates an emphasis on applied exercise research involving recreational swimmers and young gymnasts. Its subject matter includes changes associated with temporary training cessation, energy availability during competition, neuromuscular responses to exercise protocols, and the potential benefits of plyometric training. These research themes combine assessment of physical characteristics with measurements of athletic performance. The reported bibliometric figures—20 documents, 230 citations, and an h-index of 7—offer a quantitative snapshot of scholarly output as provided for this recognition profile. Such figures may change over time and should be verified against the current Scopus author record.

Research Contributions

The selected work addresses several practical questions in sport and exercise science:

  • Investigating whether short-term detraining is associated with changes in body composition and lipid profiles while examining performance outcomes in recreational swimmers.(1)
  • Examining energy availability, body composition, and phase angle among adolescent artistic gymnasts during a competitive season.(2)
  • Assessing neuromuscular fatigue under different protocols in young artistic gymnasts, contributing to discussion of exercise demands and fatigue assessment.(3)
  • Evaluating a six-week plyometric training intervention in relation to agility, jump height, and dynamic balance in young artistic and rhythmic gymnasts.(4)

These themes connect laboratory and field-based assessment with questions relevant to training design, athlete monitoring, and physical preparation. Their practical significance depends on study design, participant characteristics, and the reproducibility of reported outcomes.

Publications

Selected works supplied for this profile include the following journal articles and research record:

  1. “Short-Term Detraining Alters Body Composition and Lipid Profile but Not Performance in Recreational University Swimmers.” Sports, 2026.
  2. “Energy Availability, Body Composition, and Phase Angle Among Adolescent Artistic Gymnasts During a Competitive Season.” Nutrients, 2026.
  3. “Effects of Different Protocols on Neuromuscular Fatigue in Young Artistic Gymnasts.” Science of Gymnastics Journal, 2026.
  4. “The Effect of a 6-Week Plyometric Training on Agility, Jump Height, and Dynamic Balance in Young Artistic and Rhythmic Gymnasts.” Acta Gymnica, 2025.

Research Impact

The supplied record reports 230 citations across 20 documents and an h-index of 7. These indicators suggest that the listed publications have received scholarly attention, although citation counts alone do not establish methodological quality or direct influence on athletic practice. The research topics have potential relevance to coaches, exercise scientists, and practitioners interested in monitoring physical adaptation, nutrition-related indicators, and training responses. Further assessment of impact would consider independent replication, study quality, subsequent citations, and translation into evidence-informed practice.

Award Suitability

The publication themes provide a relevant basis for consideration under the Innovative Research Award at the International Academic Excellence Awards. The work spans multiple aspects of applied sports science and addresses measurable outcomes in swimming and gymnastics. Its suitability can be assessed through the originality of research questions, appropriateness of methods, contribution to existing knowledge, and relevance to athlete health and performance. This profile presents the supplied evidence for recognition consideration and does not imply an independently verified award decision.

Conclusion

Dimitrios Milosis’s listed research addresses important applied questions in exercise physiology and athletic performance, including detraining, energy availability, fatigue, and plyometric training. The combination of focused sports science topics and reported bibliometric indicators supports consideration of this work for academic recognition. Continued research, transparent reporting, and independent evaluation will help establish the longer-term contribution of these studies to scientific understanding and practical training decisions.

References

  1. MDPI. (2026). Short-Term Detraining Alters Body Composition and Lipid Profile but Not Performance in Recreational University Swimmers. Sports, 14(6), 246. [https://doi.org/10.3390/sports14060246](https://doi.org/10.3390/sports14060246)
  2. MDPI. (2026). Energy Availability, Body Composition, and Phase Angle Among Adolescent Artistic Gymnasts During a Competitive Season. Nutrients, 18(3), 519. [https://doi.org/10.3390/nu18030519](https://doi.org/10.3390/nu18030519)
  3. Science of Gymnastics Journal. (2026). Effects of Different Protocols on Neuromuscular Fatigue in Young Artistic Gymnasts. [https://doi.org/10.52165/SGJ.18.2.217-228](https://doi.org/10.52165/SGJ.18.2.217-228)
  4. Acta Gymnica. (2025). The Effect of a 6-Week Plyometric Training on Agility, Jump Height, and Dynamic Balance in Young Artistic and Rhythmic Gymnasts. [https://doi.org/10.5507/ag.2025.002](https://doi.org/10.5507/ag.2025.002)
  5. Elsevier. (n.d.). Scopus author details: Dimitrios Milosis, Author ID 57198896545. Scopus. [https://www.scopus.com/authid/detail.uri?authorId=57198896545](https://www.scopus.com/authid/detail.uri?authorId=57198896545)
  6. ORCID. (n.d.). Dimitrios Milosis researcher identifier. [https://orcid.org/0000-0003-0419-1505](https://orcid.org/0000-0003-0419-1505)

academicexcellenceawards.com

Akanksha Singh | Arts and Humanities | Best Faculty Award

Published on by Academic Excellence

Best Faculty Award: Akanksha Singh

Akanksha Singh
SPMGDC UNIVERSITY OF ALLAHABAD,India

Akanksha Singh
Affiliation SPMGDC UNIVERSITY OF ALLAHABAD
Country India
ORCID 0009-0006-7858-1484
Documents 11
Subject Area Arts and Humanities
Event International Academic Excellence Awards

Akanksha Singh is an academic researcher affiliated with SPMGDC UNIVERSITY OF ALLAHABAD, India, whose documented scholarly activities fall within the broad field of Arts and Humanities. The available record identifies 11 documents and includes work concerning Sanskrit and Hindi language teaching, literary and comparative studies, conference participation, and an Indian patent-related contribution. This profile presents the supplied scholarly record in the context of the Best Faculty Award associated with the International Academic Excellence Awards.

Abstract

This academic recognition profile documents the available scholarly record of Akanksha Singh, affiliated with SPMGDC UNIVERSITY OF ALLAHABAD. Her documented activities include teaching-related work in Sanskrit and Hindi, participation in an international Sanskrit conference, literary scholarship, and a patent-office-related contribution. The profile considers these activities as evidence of academic engagement in Arts and Humanities while avoiding unsupported bibliometric or institutional claims.

Keywords

Keywords: Sanskrit, Hindi, language teaching, Arts and Humanities, literary studies, comparative study, academic research, conference presentation, patent, faculty recognition.

Introduction

Academic recognition in the humanities can encompass teaching, scholarship, publication, conference participation, and contributions to language and literary studies. Singh’s supplied record reflects this multidisciplinary character. Her work includes a book on comparative literary study and a presentation associated with the World Sanskrit Conference in Kathmandu, Nepal. These activities provide a basis for assessing her academic profile alongside the information supplied for the International Academic Excellence Awards.

Research Profile

Singh’s research profile is positioned within Arts and Humanities, with a particular connection to Sanskrit and Hindi language education and literary scholarship. The supplied publication record indicates an interest in language pedagogy and comparative literary inquiry. Her documented output comprises 11 documents, while citation and h-index information was not supplied and therefore is not estimated here.

Research Contributions

  • Contribution to teaching and academic discussion concerning Sanskrit and Hindi language learning.
  • Participation in the 19th World Sanskrit Conference 2025 in Kathmandu, Nepal.
  • Authorship of a comparative literary study published by Academic & Research Publications.
  • A documented patent-office-related activity dated 2026, identified in the supplied record as a patent contribution.

Publications

  1. Teaching device for Sanskrit and Hindi language. Patent Office of India, 2026. Type: patent.
  2. World Sanskrit Conference Kathmandu Nepal. 19th World Sanskrit Conference 2025, 26 June 2025. Type: conference presentation.
  3. Lochan Awam Deepshikha ka Tulnatmak Addhyayan. ISBN 978-81-633631-5-7. Academic & Research Publications, 2017. Type: book. Publisher resource.

Research Impact

The available evidence indicates an academic profile combining language education, literary study, and scholarly participation. The 2017 book provides a published contribution to comparative literary research, while the 2025 conference presentation demonstrates participation in an international Sanskrit scholarly forum. Because verified citation counts, h-index data, and Scopus identifiers were not supplied, quantitative impact is not assessed beyond the stated document count.

Award Suitability

The documented combination of teaching-oriented scholarship, publication, conference participation, and academic activity provides relevant evidence for consideration under a faculty excellence recognition framework. In particular, the record demonstrates engagement with Sanskrit and Hindi language education and humanities scholarship. Final award assessment should be based on the awarding body’s eligibility criteria and independent verification of the submitted academic records.

Conclusion

Akanksha Singh’s supplied academic record reflects a humanities-oriented profile associated with Sanskrit and Hindi language teaching, literary studies, conference participation, and documented scholarly output. Her work provides a basis for academic recognition within a faculty excellence context. Further bibliometric and institutional verification would strengthen the profile where additional records are available.

References

  1. ORCID. (n.d.). ORCID record: Akanksha Singh, ORCID 0009-0006-7858-1484.
    https://orcid.org/0009-0006-7858-1484
  2. International Academic Excellence Awards. (n.d.). Official award website.
    https://academicexcellenceawards.com/
  3. 19th World Sanskrit Conference. (2025). World Sanskrit Conference Kathmandu Nepal. Conference presentation, 26 June 2025.
  4. Academic & Research Publications. (2017). Lochan Awam Deepshikha ka Tulnatmak Addhyayan. ISBN 978-81-633631-5-7.
  5. Patent Office of India. (2026). Teaching device for Sanskrit and Hindi language. Patent record identified in the supplied academic information.
  6. Elsevier. (n.d.). Scopus author details: Akanksha Singh. Scopus. Scopus Author ID was not supplied in the available record.

Michael Todinov | Engineering | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Michael Todinov
Oxford Brookes University,United Kingdom

Michael Todinov
Affiliation Oxford Brookes University
Country United Kingdom
Scopus ID 7004595988
Documents 111
Citations 1,122
h-index 18
Subject Area Engineering
Event International Academic Excellence Awards
ORCID 0000-0002-3957-7961

Michael Todinov is an engineering researcher associated with Oxford Brookes University whose scholarly work focuses on reliability, risk, engineering design, probabilistic methods, and structural efficiency. His recent publications address domain-independent reliability improvement, lightweight structures, algebraic approaches to reliability prediction, and probabilistic interpretations of engineering inequalities.[1][2]

Abstract

Michael Todinov’s research profile centers on engineering reliability, risk reduction, probabilistic analysis, and structural design. His recent work proposes methods for improving reliability by exploiting asymmetry, balancing system components, and interpreting algebraic relationships probabilistically. Other studies investigate lightweight structures subjected to bending and the use of reverse engineering of algebraic inequalities for reliability prediction and engineering-process improvement.[1][3]

Keywords

Engineering; Reliability Engineering; Risk Analysis; Probabilistic Methods; Structural Design; Lightweight Structures; Reliability Prediction; Engineering Optimization; Algebraic Inequalities; System Reliability.

Introduction

Reliability and risk are central concerns in engineering systems because failures can affect safety, performance, cost, and service continuity. Todinov’s research addresses these concerns through analytical approaches that seek to identify relationships between system configuration, reliability, and risk. His publications span reliability theory and engineering design, providing a connection between mathematical analysis and practical engineering problems.[3][4]

Research Profile

The supplied bibliometric profile records 111 documents, 1,122 citations, and an h-index of 18. These indicators describe a substantial body of indexed scholarly output. His publication portfolio demonstrates continuity in reliability and risk research while also extending into mechanical and structural engineering applications.[1][2]

Research Contributions

  • Development of a domain-independent approach to reliability improvement and risk reduction through exploitation of asymmetry.[1]
  • Investigation of lightweight multi-element structures subjected to bending loads, with emphasis on structural configuration and efficiency.[2]
  • Application of reverse engineering of algebraic inequalities to system reliability prediction and engineering-process enhancement.[3]
  • Probabilistic interpretation of algebraic inequalities associated with reliability and risk analysis.[4]

Publications

Among the recent publications is A new domain-independent method for improving reliability and reducing risk based on exploiting asymmetry, published in Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability in December 2025.[1] A related 2025 contribution examines lightweight structures composed of multiple elements loaded in bending.[2] Earlier work in IEEE Transactions on Reliability considers algebraic inequalities for system reliability prediction, while a 2023 study develops their probabilistic interpretation.[3][4]

Research Impact

The reported citation count and h-index indicate sustained scholarly visibility. The research is also notable for connecting reliability theory with engineering design problems, including structural loading and system configuration. The domain-independent orientation of recent reliability research may support application across different engineering contexts where risk and failure probabilities must be assessed systematically.[1][4]

Award Suitability

The documented publication record, citation indicators, and sustained focus on reliability and risk provide a substantive basis for consideration for an Innovative Research Award. His work combines analytical methods with engineering applications and addresses questions concerning system performance, structural efficiency, reliability prediction, and risk reduction. These characteristics align with recognition criteria emphasizing methodological innovation and meaningful engineering research contributions.

Conclusion

Michael Todinov’s research profile reflects sustained contributions to engineering reliability, risk analysis, probabilistic methods, and structural design. His recent publications demonstrate continued development of analytical approaches to reliability improvement alongside applications in mechanical engineering. The available bibliometric and publication information supports his consideration within an academic recognition framework focused on innovative engineering research.

References

  1. Todinov, M. (2025). A new domain-independent method for improving reliability and reducing risk based on exploiting asymmetry. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
    https://doi.org/10.1177/1748006X251324081
  2. Todinov, M. (2025). Designing light-weight structures consisting of multiple elements loaded in bending. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.
    https://doi.org/10.1177/09544062251365722
  3. Todinov, M. (2024). Reverse Engineering of Algebraic Inequalities for System Reliability Predictions and Enhancing Processes in Engineering. IEEE Transactions on Reliability.
    https://doi.org/10.1109/TR.2023.3315662
  4. Todinov, M. (2023). Probabilistic interpretation of algebraic inequalities related to reliability and risk. Quality and Reliability Engineering International.
    https://doi.org/10.1002/qre.3345
  5. Todinov, M. (2023). Improving reliability by increasing the level of balancing and by substitution. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.
    https://doi.org/10.1177/09544062221132419
  6. Elsevier. (n.d.). Scopus author details: Michael Todinov, Author ID 7004595988. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7004595988

Muhammad Jawaid | Computer Science | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Muhammad Jawaid
De Montfort University Leicester,United Kingdom

Muhammad Jawaid, De Montfort University Leicester, United Kingdom, is a computer science researcher whose scholarly work encompasses medical imaging, machine learning, intelligent systems, and applied computational methods. His research record includes contributions to multimodal neuroimaging classification, coronary imaging analysis, and smart agriculture applications.

Muhammad Jawaid
Affiliation De Montfort University Leicester
Country United Kingdom
Scopus ID 57188570160
Documents 25
Citations 214
h-index 6
Subject Area Computer Science
Event International Academic Excellence Awards
Google Scholar ID DWR4rb8AAAAJ

Abstract

Muhammad Jawaid’s research profile reflects an interdisciplinary application of computational intelligence to complex scientific and biomedical problems. His documented publications include work on multimodal neuroimaging classification for autism spectrum disorder, non-calcified coronary plaque quantification, and smart agriculture systems. A 2026 Journal of Imaging article applies contrastive and transfer learning to aligned structural and functional neuroimaging data, demonstrating the relevance of machine learning to medical-image analysis.[1]

Keywords

Computer Science; Machine Learning; Medical Imaging; Neuroimaging; Artificial Intelligence; Image Classification; Coronary Imaging; Smart Agriculture; Transfer Learning; Research Innovation.

Introduction

The researcher is associated with computational research addressing practical challenges where data analysis and intelligent algorithms can support scientific interpretation. Recent work demonstrates applications ranging from neuroimaging classification to voxel-level analysis of coronary computed tomography data.[1][2] Earlier research also explored Internet-of-Things technologies and recurrent neural-network forecasting for agricultural monitoring.[3]

Research Profile

The supplied bibliometric profile records 25 documents, 214 citations, and an h-index of 6 in Scopus. These indicators provide a quantitative view of publication and citation activity, while individual publications provide additional evidence of the breadth and application-oriented character of the research.

Research Contributions

  • Multimodal neuroimaging classification using contrastive and transfer-learning strategies.[1]
  • Voxel-based computational analysis for non-calcified coronary plaque quantification in CT images.[2]
  • Application of IoT and neural-network forecasting techniques to smart agriculture.[3]

Publications

Recent publications include Contrastive and Transfer Learning for Aligned Multimodal Neuroimaging Classification of Autism Spectrum Disorder in Journal of Imaging (2026), and Non-calcified coronary plaque quantification in CT images using voxel-based descriptive features in Forensic Imaging (2026).[1][2] His earlier publication, Internet of Plants Application for Smart Agriculture, appeared in 2018.[3]

Research Impact

The reported citation profile indicates established scholarly visibility, while the publication topics show application across medical imaging and intelligent computational systems. The 2026 neuroimaging study reports multimodal classification experiments using an aligned feature-learning framework, while the coronary-imaging study investigates computational quantification of non-calcified plaque in CT data.[1][2]

Award Suitability

The documented combination of publication activity, citation indicators, and research spanning machine learning, medical imaging, and intelligent systems provides a substantive basis for consideration for an Innovative Research Award. The profile is particularly relevant to recognition frameworks that evaluate research originality, interdisciplinary application, documented scholarly output, and potential contribution to advancing computational approaches.

Conclusion

Muhammad Jawaid presents a computer science research profile characterized by applied machine learning, medical-image analysis, and intelligent computational applications. His reported bibliometric indicators and publication record support recognition of sustained scholarly activity and interdisciplinary research development.

References

  1. Vavekanand, R., Kumar, G., Jawaid, M. M., Memon, S. Q., & Kumar, T. (2026). Contrastive and Transfer Learning for Aligned Multimodal Neuroimaging Classification of Autism Spectrum Disorder. Journal of Imaging, 12(7), 328.
    https://doi.org/10.3390/jimaging12070328
  2. Memon, S. Q., Brown, J. M., & Jawaid, M. M. (2026). Non-calcified coronary plaque quantification in CT images using voxel-based descriptive features. Forensic Imaging, 44, 200664.
    https://doi.org/10.1016/j.fri.2025.200664
  3. Aliev, K., Moazzam, M. M., Narejo, S., Pasero, E., & Pulatov, A. (2018). Internet of Plants Application for Smart Agriculture. International Journal of Advanced Computer Science and Applications, 9(4), 421–429.
    https://doi.org/10.14569/IJACSA.2018.090458
  4. Elsevier. (n.d.). Scopus author details: Muhammad Moazzam Jawaid, Author ID 57188570160. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57188570160
  5. De Montfort University. (n.d.). School of Computer Science and Informatics. De Montfort University.

Andre Lieber | Biochemistry, Genetics and Molecular Biology | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Andre Lieber
University of Washington,United States

Andre Lieber
Affiliation University of Washington
Country United States
Google Scholar ID KA5seSwAAAAJ
Documents 456
Citations 17,141
h-index 72
Subject Area Biochemistry, Genetics and Molecular Biology
Event International Academic Excellence Awards

Andre Lieber is a researcher at the University of Washington whose documented scholarly work focuses substantially on adenovirus biology, viral vectors, host–virus interactions, and gene-transfer technologies. The supplied profile reports 456 documents, 17,141 citations, and an h-index of 72. His publication record includes highly cited studies addressing adenoviral receptors, vector tropism, liver toxicity, and gene transfer into hematopoietic cells.

Abstract

Lieber’s research profile is centered on molecular and translational aspects of adenovirus biology. His publications examine how adenoviruses recognize cellular receptors, enter specific cell populations, interact with blood factors, and can be engineered for gene delivery. These studies connect fundamental virology with the development and evaluation of viral-vector technologies.

Keywords

Adenovirus; gene therapy; viral vectors; CD46; desmoglein 2; gene transfer; hematopoietic cells; liver toxicity; molecular biology; virology.

Introduction

Lieber’s published work at the University of Washington includes investigations into adenoviral receptors and vector behavior. A 2003 Nature Medicine study identified CD46 as a cellular receptor used by most group B adenoviruses, providing insight into adenovirus attachment and infection mechanisms. [1] Subsequent research examined additional receptor pathways and systemic interactions relevant to adenoviral vectors.

Research Profile

The supplied publication record indicates several interconnected research themes:

  • Adenovirus receptors and mechanisms of cellular entry.
  • Engineering and retargeting of adenoviral vectors for gene transfer.
  • Host–virus interactions involving blood factors and hepatic tissues.
  • Viral-vector tropism and therapeutic applications.

Research Contributions

Research associated with Lieber has contributed to understanding receptor-mediated adenovirus infection. Work on desmoglein 2 identified it as a receptor for adenovirus serotypes 3, 7, 11, and 14. [2] Another study demonstrated that blood factors can influence adenoviral targeting of liver cells and associated toxicity following systemic administration. [3] Earlier vector research investigated efficient gene transfer into human CD34+ cells using a retargeted adenovirus vector. [4]

Publications

  • CD46 is a cellular receptor for group B adenoviruses (2003), Nature Medicine 9(11), 1408–1412; 1,044 citations in the supplied record. [1]
  • Desmoglein 2 is a receptor for adenovirus serotypes 3, 7, 11 and 14 (2011), Nature Medicine 17(1), 96–104; 567 citations. [2]
  • Adenovirus binding to blood factors results in liver cell infection and hepatotoxicity (2005), Journal of Virology 79(12), 7478–7491; 528 citations. [3]
  • The role of Kupffer cell activation and viral gene expression in early liver toxicity after infusion of recombinant adenovirus vectors (1997), Journal of Virology 71(11), 8798–8807; 522 citations. [5]
  • Efficient Gene Transfer into Human CD34+ Cells by a Retargeted Adenovirus Vector (2000), Journal of Virology 74(6), 2567–2583; 489 citations. [4]

Research Impact

The supplied citation record indicates substantial scholarly attention to Lieber’s adenovirus research. The five listed publications collectively account for thousands of citations in the provided Google Scholar data, with the CD46 receptor study recording 1,044 citations. Citation counts are database-dependent and may change over time; the figures presented here should therefore be regarded as a supplied bibliometric snapshot.

Award Suitability

For the stated International Academic Excellence Awards, the documented record provides measurable indicators of sustained scholarly activity, including 456 reported documents, 17,141 citations, and an h-index of 72. The publication examples also demonstrate research spanning fundamental virology, molecular receptor biology, and gene-transfer technologies. Eligibility and final recognition remain subject to the official criteria and assessment procedures of the awarding organization.

Conclusion

Andre Lieber’s documented research profile reflects sustained contributions to adenovirus biology and viral-vector research. His publications address receptor identification, cellular tropism, systemic vector interactions, toxicity, and gene-transfer strategies. The supplied bibliometric figures and publication record provide a factual basis for documenting his academic profile in connection with the International Academic Excellence Awards.

References

  1. Gaggar, A.; Shayakhmetov, D.M.; Lieber, A. (2003). CD46 is a cellular receptor for group B adenoviruses. Nature Medicine, 9(11), 1408–1412. DOI: https://doi.org/10.1038/nm952
  2. Wang, H.; Li, Z.Y.; Liu, Y.; et al. (2011). Desmoglein 2 is a receptor for adenovirus serotypes 3, 7, 11 and 14. Nature Medicine, 17(1), 96–104. DOI: https://doi.org/10.1038/nm.2270
  3. Shayakhmetov, D.M.; Gaggar, A.; Ni, S.; Li, Z.Y.; Lieber, A. (2005). Adenovirus binding to blood factors results in liver cell infection and hepatotoxicity. Journal of Virology, 79(12), 7478–7491. DOI: https://doi.org/10.1128/JVI.79.12.7478-7491.2005
  4. Shayakhmetov, D.M.; Papayannopoulou, T.; Stamatoyannopoulos, G.; Lieber, A. (2000). Efficient Gene Transfer into Human CD34+ Cells by a Retargeted Adenovirus Vector. Journal of Virology, 74(6), 2567–2583. DOI: https://doi.org/10.1128/jvi.74.6.2567-2583.2000
  5. Lieber, A.; He, C.Y.; Meuse, L.; Schowalter, D.; Kirillova, I.; Winther, B.; Kay, M.A. (1997). The role of Kupffer cell activation and viral gene expression in early liver toxicity after infusion of recombinant adenovirus vectors. Journal of Virology, 71(11), 8798–8807.

Balkiz Yapicioglu | Architecture Education | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Balkiz Yapicioglu
American Univeresity of Cyprus

Balkiz Yapicioglu
Affiliation American Univeresity of Cyprus
Country Cyprus
Google Scholar ID QPuTjPIAAAAJ
Documents 29
Citations 172
h-index 6
Subject Area Architecture Education
Event International Academic Excellence Awards

Balkiz Yapicioglu is a researcher whose published work addresses architecture, construction, infrastructure, property rights, heritage conservation, and residential environments. The supplied bibliographic record comprises 29 documents, 172 citations, and an h-index of 6. The publication record includes studies concerning Cyprus as well as international infrastructure and transport-policy questions.

Abstract

The research profile of Balkiz Yapicioglu is characterized by interdisciplinary investigation of the built environment and related policy questions. Published studies examine blockchain applications to land rights, transport infrastructure policy, construction-sector organization, heritage and sustainable construction, and residential satisfaction in historic areas. These works collectively connect architectural and planning concerns with technological, social, and infrastructural dimensions of the built environment.

Keywords

Architecture; built environment; construction management; infrastructure; transport policy; land rights; blockchain; heritage conservation; residential satisfaction; Cyprus.

Introduction

Yapicioglu’s documented publications demonstrate an interdisciplinary approach to contemporary built-environment research. Her 2020 study with Rebecca Leshinsky examined blockchain as a possible mechanism for recording land interests in Cyprus and other disputed contexts. [1] Earlier work addressed transport-policy strategies in infrastructure development and stakeholder perspectives in Nigeria. [2]

Research Profile

The supplied research record can be grouped into several connected areas:

  • Architecture, planning, and the built environment.
  • Construction-sector organization and infrastructure development.
  • Property rights and emerging digital technologies.
  • Heritage conservation and sustainable construction.
  • Residential satisfaction in historic urban environments.

Research Contributions

Several publications illustrate the breadth of this profile. The study of North Cyprus’s construction industry examined the interaction between organizational structure, socio-cultural conditions, and uncertainty in a developing construction sector. [3] Research on sustainable construction and heritage considered relationships between technological approaches and conservation of the built environment. [4] More recently, research on Famagusta investigated residential satisfaction in a historic environment using actual–aspiration gap theory and related analytical methods. [5]

Publications

  • Blockchain as a tool for land rights: ownership of land in Cyprus (2020), cited 52 times in the supplied record. [1]
  • Innovative strategies for transport policies in infrastructure development: Nigerian stakeholders’ perspective (2017), cited 27 times. [2]
  • Small but complex: The construction industry in North Cyprus (2014), cited 18 times. [3]
  • Bridging sustainable construction technologies and heritage (2019), cited 16 times in the supplied record. [4]
  • Measuring residential satisfaction in historic areas using actual–aspiration gap theory (2023), cited 15 times in the supplied record. [5]

Research Impact

The supplied citation figures indicate that the listed publications have received scholarly attention, with the blockchain and land-rights article recording the highest citation count among the five works presented. Citation counts can vary between databases and change over time; therefore, the figures should be understood as a snapshot of the supplied research record rather than a permanent measure of influence.

Award Suitability

For the stated International Academic Excellence Awards event, the documented record provides identifiable evidence of peer-reviewed scholarly activity, interdisciplinary research, and citation impact. The research themes also correspond broadly with architecture, infrastructure, planning, and built-environment scholarship. Final award eligibility or selection, however, depends on the official criteria and assessment procedures of the event.

Conclusion

Balkiz Yapicioglu’s documented publication record presents a multidisciplinary research profile spanning architecture, construction, infrastructure, property rights, heritage, and residential environments. The combination of 29 reported documents, 172 citations, and an h-index of 6 provides a quantitative summary of the supplied record, while the cited publications demonstrate research addressing both regional Cyprus-related issues and broader international built-environment questions.

References

  1. Yapicioglu, B.; Leshinsky, R. (2020). Blockchain as a tool for land rights: ownership of land in Cyprus. Journal of Property, Planning and Environmental Law, 12(2), 171–182. DOI: https://doi.org/10.1108/JPPEL-02-2020-0010
  2. Yapicioglu, B.; Mogbo, O.N.; Yitmen, I. (2017). Innovative strategies for transport policies in infrastructure development: Nigerian stakeholders’ perspective. International Journal of Civil Engineering, 15(5), 747–761. DOI: https://doi.org/10.1007/s40999-017-0172-0
  3. Yapicioglu, Y. Balkiz; Lawlor-Wright, L.W. (2014). Small but complex: The construction industry in North Cyprus. Procedia – Social and Behavioral Sciences, 119, 466–474. DOI: https://doi.org/10.1016/j.sbspro.2014.03.052
  4. Liudmila, C.; Balkiz, Y. (2019). Bridging sustainable construction technologies and heritage: novel approach to the conservation of the built environment. In Sustainable Construction Technologies, 395–442.
  5. Davoodi, T.; Yapicoglu, B.; Dağlı, U.U. (2023). Measuring residential satisfaction in historic areas using actual–aspiration gap theory: The case of Famagusta, Northern Cyprus. Sustainability, 15(5), 3917. DOI: https://doi.org/10.3390/su15053917

Yogesh Shankar | Engineering | Innovative Research Award

Published on by Academic Excellence

Innovative Research Award

Yogesh shankar
Infineon Technologies Asia Pacific, Singapore

Yogesh shankar
Affiliation Infineon Technologies Asia Pacific
Country Singapore
Scopus ID 57215433281
Documents 2
Citations 21
h-index 2
Subject Area Engineering
Event International Academic Excellence Awards

Yogesh shankar is an engineering researcher associated with Infineon Technologies Asia Pacific in Singapore. The supplied indexed record identifies research involving radar-based sensing, non-intrusive motion recognition, and deformable convolutional neural networks. The available bibliometric information reports two documents, 21 citations, and an h-index of 2. The documented publication record provides a focused example of applying deep-learning methods to sensing and recognition problems. [1]

Abstract

The supplied research profile concerns engineering applications of intelligent sensing and machine learning. Its identified publication, presented at the 18th IEEE International Conference on Machine Learning and Applications in 2019, investigates radar-based non-intrusive fall motion recognition using a deformable convolutional neural network. Such work combines radar sensing with deep-learning-based recognition, addressing the computational interpretation of motion without relying on direct physical contact. [2]

Keywords

Engineering; radar sensing; fall recognition; motion recognition; deep learning; convolutional neural networks; deformable convolution; non-intrusive sensing; machine learning; intelligent systems.

Introduction

Radar-based sensing provides a means of observing movement without requiring conventional wearable or contact-based instrumentation. Within this context, machine learning can be used to extract patterns from radar-derived information and classify specific human activities. The documented work by yogesh shankar and collaborators applies a deformable convolutional neural network to fall-motion recognition, placing the research at the intersection of radar sensing, signal interpretation, and artificial intelligence. [2]

Research Profile

The stated subject area is Engineering, with the available publication evidence specifically connected to machine learning and sensing applications. The supplied profile reports two documents, 21 citations, and an h-index of 2. These bibliometric indicators represent the supplied database snapshot and may change as additional publications and citations are indexed. [1]

Research Contributions

  • Investigation of radar-based non-intrusive sensing for human fall-motion recognition. [2]
  • Application of deformable convolutional neural networks to motion-recognition tasks. [2]
  • Integration of radar sensing and deep-learning-based computational recognition within an engineering research context.

Publications

Radar-based non-intrusive fall motion recognition using deformable convolutional neural network was published as a conference paper in the Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019). The listed authors are Y. Shankar, Yogesh Shankar, Souvik Hazra, and Avik Santra. The supplied record reports 12 citations for this publication. [2]

Research Impact

The supplied Scopus information reports 21 citations across two documents and an h-index of 2. The identified conference paper accounts for 12 citations in the supplied results. Citation counts are dynamic bibliometric measures and can differ between indexing services; therefore, they are best interpreted as indicators of documented scholarly visibility rather than as a complete measure of research significance. [1] [2]

Award Suitability

The documented publication provides evidence of research activity relevant to an Innovative Research Award within the Engineering subject area. Its focus on radar-based non-intrusive sensing and deformable convolutional neural networks represents an application of contemporary computational methods to human-motion recognition. Consideration for an award should be made alongside the complete research record and the applicable criteria of the International Academic Excellence Awards.

Conclusion

yogesh shankar’s supplied academic record demonstrates focused research at the intersection of engineering, radar sensing, and machine learning. The documented work on non-intrusive fall-motion recognition illustrates the use of deformable convolutional neural networks in an applied sensing context. The available bibliometric indicators and publication evidence provide a concise basis for academic recognition within the International Academic Excellence Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Yogesh Shankar, Author ID 57215433281. Scopus. The supplied Scopus record reports two documents, 21 citations, and an h-index of 2.
  2. Shankar, Y., Shankar, Y., Hazra, S., & Santra, A. (2019). Radar-based non-intrusive fall motion recognition using deformable convolutional neural network. Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019). The supplied record reports 12 citations.
  3. IEEE. (2019). 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019). Conference publication record associated with the documented research.
  4. International Academic Excellence Awards. (n.d.). Academic Excellence Awards.
    https://academicexcellenceawards.com/