Bijal Bahuleyan | Polymer Nanocomposites | Best Researcher Award

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Assoc. Prof. Dr. Bijal Bahuleyan | Polymer Nanocomposites | Best Researcher Award

Associate Professor | Royal Commission for Jubail and Yanbu | Saudi Arabia

Dr. Bahuleyan demonstrates strong research excellence in polymer nanocomposites and organometallic polymerization, supported by a solid publication record (55 documents), high scholarly impact (1,235 citations), and a robust h-index of 19. His work spans high-quality Q1–Q2 journals and bridges fundamental materials chemistry with applied nanotechnology, highlighting consistent productivity and international collaboration. An area for improvement lies in expanding interdisciplinary integration with data-driven materials design and increasing leadership in large, multi-institutional grants. Looking ahead, his future potential is significant, particularly in sustainable polymer systems, advanced functional nanocomposites, and industry-oriented innovation, positioning him well to deliver high-impact research, mentorship, and translational outcomes aligned with global scientific and societal priorities.

Bahuleyan, Bijal Kottukkal
Yanbu Industrial College, Yanbu, Saudi Arabia

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Efendi Nasibov | Computer Science | Research Excellence Award

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Prof. Dr. Efendi Nasibov | Computer Science | Research Excellence Award

Dokuz Eylul University | Turkey

Prof. Dr. Efendi Nasiboğlu is a researcher in Computer Sciences at Dokuz Eylül University, İzmir, Turkey. He has authored over 107 scholarly publications indexed in Scopus and Web of Science, accumulating more than 1,101 citations with an h-index of 16. His research expertise spans fuzzy systems, regression modeling, computational intelligence, machine learning, and applied data analysis, with contributions to both theoretical foundations and real-world applications in engineering, manufacturing, healthcare, and smart systems. Dr. Nasiboğlu actively collaborates with international researchers and has published in reputable journals and conferences, contributing to methodological advancements with measurable societal and technological impact.

 

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Featured Publications


On the nearest parametric approximation of a fuzzy number

Fuzzy Sets and Systems  (2008). Citations: 107

A new unsupervised approach for fuzzy clustering

– Fuzzy Sets and Systems. (2007). Citations : 91

Public transport route planning: Modified Dijkstra’s algorithm

– International Conference on Computer Science and Engineering. (2017). Citations :  76

Spyros Papathanasiou | Econometrics and Finance | Best Researcher Award

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Prof. Spyros Papathanasiou | Econometrics and Finance | Best Researcher Award

Dept Of Economics | National and Kapodistrian University of Athens  | Greece 

Dr. Spyros Papathanasiou is an Associate Professor at the National and Kapodistrian University of Athens, specializing in Financial Markets, Behavioral Finance, Technical Analysis, Alternative Investments, and Mutual Funds. With a strong academic footprint and a verified institutional affiliation at econ.uoa.gr, he has established himself as a prominent scholar in empirical finance and investment analytics. His research portfolio comprises 75 academic publications, supported by over 1,352 citations, along with an h-index of 20 and an i10-index of 29, reflecting both depth and sustained impact.Dr. Papathanasiou’s work spans a wide spectrum of contemporary financial topics, including volatility spillovers, portfolio risk management, ESG and sustainable investing, investor behavior, market anomalies, and alternative asset performance. He has co-authored numerous studies published in prestigious journals such as Economic Modelling, Finance Research Letters International Review of Economics & Finance, Journal of Asset Management, Managerial Finance, Australian Journal of Management, and Operational Research many of which appear on the ABS list.A hallmark of his scholarship is the consistent use of advanced quantitative methods TVP-VAR models hedging strategy evaluation, transmission mechanisms) to address practical questions facing global investors. His influential papers on ESG investment connectedness Green bubble formation, safe-haven properties of alternative assets, and COVID-19–driven market dynamics have garnered significant citations and international attention. He also contributes foundational research on technical trading rules, IPO performance mutual fund evaluation, sovereign risk linkages and behavioral biases shaping academic and industry conversations in Southern European and global markets.Dr. Papathanasiou maintains active collaborations with leading scholars across Europe advancing cross-country analyses of market integration volatility asymmetries  and investment strategy effectiveness. His research offers valuable insights for policy makers portfolio managers and institutional investors particularly in periods of financial stress and economic uncertainty.Overall his work demonstrates a sustained commitment to bridging theoretical finance with real-world investment practices enhancing both academic understanding and societal resilience in dynamic financial environments.

Profiles : Googlescholar | Scopus | ORCID

Featured Publications

1.Umar, Z., Kenourgios, D., & Papathanasiou, S. (2020). The static and dynamic connectedness of environmental, social, and governance investments: International evidence. Economic Modelling, 93, 112–124. Cited By: 269

2.Kenourgios, D., Papathanasiou, S., & Melas, R. (2007). Initial performance of Greek IPOs, underwriter’s reputation and oversubscription. Managerial Finance. https://doi.org/10.1108/03074350710739614. Cited By : 95

3.Kenourgios, D., Samitas, A., & Papathanasiou, S. (2005). The day of the week effect patterns on stock market return and volatility: Evidence for the Athens Stock Exchange. Proceedings of the 2nd International Conference on Advances in Applied Financial Economics, 91. Cited By: 91

4.Samitas, A., Papathanasiou, S., Koutsokostas, D., & Kampouris, E. (2022). Volatility spillovers between fine wine and major global markets during COVID-19: A portfolio hedging strategy for investors. International Review of Economics & Finance, 76. Cited By: 76

5.Samitas, A., Papathanasiou, S., Koutsokostas, D., & Kampouris, E. (2022). Are timber and water investments safe-havens? A volatility spillover approach and portfolio hedging strategies for investors. Finance Research Letters, 102657. https://doi.org/10.1016/j.frl.2022.102657. Cited By: 63

Dr. Spyros Papathanasiou  envisions a financial ecosystem where data-driven research, behavioral insights, and sustainability principles converge to shape smarter investment strategies. His work continues to influence global debates on market resilience, responsible finance, and emerging asset classes.

Daniel Eshimiakhe | Environmental Science | Editorial Board Member

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Dr. Daniel Eshimiakhe | Environmental Science | Editorial Board Member

Researcher | Ahmadu Bello University | Nigeria

Dr. Daniel Eshimiakhe is a Nigerian geophysicist and researcher at Ahmadu Bello University, Zaria, specializing in electrical resistivity, seismology, magnetics, and machine-learning–enhanced geophysical analysis. His work focuses on subsurface characterization, mineral exploration, groundwater assessment, and environmental geophysics, with applications that support public health, sustainable resource management, and geological risk evaluation. He has authored and co-authored 28 scientific publications, accumulating over 109 citations, an h-index of 7, and an i10-index of 3, reflecting a growing influence in applied geosciences.Eshimiakhe’s research portfolio spans a wide range of geophysical techniques, including 2D/3D electrical resistivity tomography, seismic refraction tomography, aeromagnetic data interpretation, and geoelectrical modeling. His notable works include studies on landfill leachate migration, seasonal geochemistry impacts on groundwater systems, mineshaft imaging, kaolin deposit delineation, and gold mineral potential zone mapping across Northern Nigeria. His papers in Scientific Reports contributed significantly to groundwater potential mapping and environmental monitoring using integrated geoelectrical and geochemical approaches.He has collaborated extensively with multidisciplinary teams across Nigeria, contributing to research that integrates remote sensing, open-source geophysical modeling, and unsupervised machine learning, particularly in the refinement of Werner deconvolution for geologic depth estimation. His early work also includes participation in international conferences such as the AGU Fall Meeting, where he presented findings on subsurface cavity detection and mineral feature mapping through aeromagnetic techniques.Beyond academic contributions, Eshimiakhe’s research has substantial societal relevance, informing mining safety, infrastructure development, groundwater management, and environmental protection in resource-sensitive regions. His commitment to advancing geophysical science through innovative methodologies positions him as an emerging figure in applied Earth sciences, with ongoing work contributing to data-driven geological interpretation and sustainable natural resource exploration.

Profiles : Googlescholar | Scopus 

Featured Publications

1.Katz, D. H., Tahir, U. A., Ngo, D., Benson, M., Bick, A. G., Pampana, A., Gao, Y., … & Eshimiakhe, D. (2020). Proteomic profiling in biracial cohorts implicates DC-SIGN as a mediator of genetic risk in COVID-19. MedRxiv. Cited By: 23

2.Alao, J. O., Otorkpa, O. J., Abubakar, F., Eshimiakhe, D., Aliyu, A., Abdulsalami, M., … & [Other authors if applicable]. (2024). Geoelectrical resistivity and geochemistry monitoring of landfill leachates due to the seasonal variations and the implications on groundwater systems and public health. Scientific Reports, 14(1), 26542. Cited By: 20

3.Osumejeh, J. O., Eshimiakhe, D., Kudanmya, E. A., Ojo, F., & Lawal, K. M. (2023). Geophysical investigation of part of Ahmadu Bello University farm, Nigeria. African Scientific Reports, 49, 49-49. Cited By: 13

4.Osumeje, J. O., Eshimiakhe, D., Oniku, A. S., & Lawal, K. M. (2024). Application of remote sensing and electrical resistivity technique for delineating groundwater potential in North Western Nigeria. Scientific Reports, 14(1), 22299.  Cited By: 8

5.Osumeje, J., Eshimiakhe, D., Bello, Y., & Lawal, K. (2023). Assessment of open-software resources in Python using real two-dimensional geophysical model. SSRN. Cited By: 8

Daniel Eshimiakhe’s research integrates geophysical techniques, remote sensing, and machine learning to advance subsurface characterization, mineral exploration, and groundwater assessment. His work informs sustainable resource management, environmental protection, and public health, bridging scientific innovation with societal and industrial applications.

Mahmood ul Hassan | Computer Science | Editorial Board Member

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Assist. Prof. Dr. Mahmood ul Hassan | Computer Science | Editorial Board Member

Assistant Professor | Najran University | Saudi Arabia

Dr. Mahmood ul Hassan is a distinguished researcher and academic affiliated with the National Industrial Training Institute, TÜV Rheinland Arabia in the Kingdom of Saudi Arabia, with a verified scholarly association at Jazan University (ju.edu.sa). His research expertise spans Wireless Sensor Networks (WSN), Vehicular Ad Hoc Networks (VANET), mobile cloud computing, AI-driven smart systems, and ICT applications in education and healthcare. Over his career, he has built a strong interdisciplinary footprint across computer engineering, artificial intelligence, cybersecurity, and applied networking.Dr. Hassan has authored 157 scholarly documents with over 909 citations, an h-index of 17, and an i10-index of 31, reflecting both the breadth and impact of his contributions. His notable publications include influential works on smart agriculture using AI, tumor classification in MRI using wavelets and SVM, ANN-based secure routing protocols for VANETs, image segmentation models, glioma classification using deep CNNs, and lightweight security frameworks for WSNs. Several of his papers in Energies, Sensors, IEEE Access, Computers, Materials & Continua, and Wireless Communications and Mobile Computing have been widely cited and integrated into ongoing global research.His collaborations with multidisciplinary teams across Saudi Arabia, Pakistan, and international institutions highlight his commitment to advancing digital transformation in critical sectors. Dr. Hassan’s work on intelligent connectivity restoration, blockchain-based secure information routing, microservice optimization, fog computing, and IoT-enabled education systems demonstrates a consistent alignment with emerging technological challenges. Beyond core engineering, he has also contributed research in health informatics, public-sector project planning, archaeology, and medical studies, showcasing his broad academic versatility.Dr. Mahmood ul Hassan’s research has substantive societal impact, particularly in enhancing network reliability, secure communication, healthcare diagnostics, smart agriculture, and technology-driven education. His sustained scholarly productivity and cross-disciplinary influence continue to position him as a leading academic voice in next-generation networked systems and intelligent computing solutions.

Profiles : Googlescholar | Scopus | ORCID

Featured Publications

1. Smart agriculture cloud using AI-based techniquesJunaid, M., Shaikh, A., Hassan, M. U., Alghamdi, A., Rajab, K., Al Reshan, M. S., & … (2021). Smart agriculture cloud using AI-based techniques. Energies, 14(16), 5129. Cited By: 58

2. Classification of tumors in human brain MRI using wavelet and support vector machineAhmad, M., Hassan, M., Shafi, I., & Osman, A. (2012). Classification of tumors in human brain MRI using wavelet and support vector machine. IOSR Journal of Computer Engineering, 8(2), 25–31. Cited By: 53

3. ANN-based intelligent secure routing protocol in vehicular ad hoc networks (VANETs) using enhanced AODVHassan, M. U., Al-Awady, A. A., Ali, A., Sifatullah, Akram, M., Iqbal, M. M., Khan, J., & … (2024). ANN-based intelligent secure routing protocol in vehicular ad hoc networks (VANETs) using enhanced AODV. Sensors, 24(3). Cited By: 44

4. A weighted spatially constrained finite mixture model for image segmentationAhmed, M. M., Shehri, S. A., Arshed, J. U., Hassan, M. U., & Hussain, M. (2021). A weighted spatially constrained finite mixture model for image segmentation. Computers, Materials & Continua, 67(1), 171–185. Cited By: 42

5. A CNN-model to classify low-grade and high-grade glioma from MRI imagesHafeez, H. A., Elmagzoub, M. A., Abdullah, N. A. B., Al Reshan, M. S., Gilanie, G., & … (2023). A CNN-model to classify low-grade and high-grade glioma from MRI images. IEEE Access, 11, 46283–46296. Cited By: 37

Dr. Mahmood ul Hassan’s research advances secure, intelligent, and resilient networked systems that enhance healthcare diagnostics, smart agriculture, and sustainable digital infrastructure. His work bridges AI, wireless communication, and cloud technologies, delivering innovative solutions with direct societal and economic impact.

Gebeyaw Biset | Health Professions | Editorial Board Member

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Mr. Gebeyaw Biset | Health Professions | Editorial Board Member

MSc, Assistant professor in Pediatric and Child Health Nursing | Wollo University | Ethiopia

Assistant Professor Gebeyaw Biset is an emerging scholar in Pediatric and Child Health Nursing, recognized for his influential contributions to maternal, neonatal, child, and adolescent health research in Ethiopia and beyond. With a verified affiliation at Wollo University (wu.edu.et), he has authored 48 peer-reviewed publications, accumulating 951 citations, an h-index of 15, and an i10-index of 22, demonstrating both productivity and sustained research impact. His scholarship encompasses systematic reviews, meta-analyses, community-based studies, and clinical investigations addressing critical public health burdens in low-resource settings.Biset’s most cited work, Prevalence of anxiety, depression and psychological distress during the COVID-19 pandemic has received over 319 citations, highlighting his global visibility in mental health evidence synthesis during health emergencies. His additional high-impact contributions examine intimate partner violence childhood epilepsy trends in Africa  immunization gaps neonatal resuscitation knowledge and nutritional and infectious disease challenges among children. His collaborative research with multidisciplinary teams spanning epidemiology public health clinical nursing  social science and pediatrics has produced widely referenced outputs on malaria tuberculosis HIV-related opportunistic infections psychological outcomes of conflict and maternal-child health service utilization.A defining feature of his academic work is its strong orientation toward population health equity. His studies on conflict-related child health impacts willingness to join and pay for community-based health insurance determinants of adolescent menstrual hygiene and barriers to kangaroo mother care provide actionable insights that support health-system strengthening. He has also advanced evidence on neonatal outcomes, burn treatment among children  breastfeeding practices and the clinical competency of nursing students reinforcing his commitment to both clinical excellence and workforce development.Through rigorous evidence synthesis and contextually grounded empirical studies Assistant Professor Gebeyaw Biset has established himself as a significant contributor to child health research producing knowledge that informs policy guides frontline healthcare practice and enhances the well-being of vulnerable populations across Ethiopia and the broader African region.

Profile : Googlescholar

Featured Publications

1. Necho, M., Tsehay, M., Birkie, M., Biset, G., & Tadesse, E. (2021). Prevalence of anxiety, depression, and psychological distress among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. International Journal of Social Psychiatry, 67(7), 892–906. Cited BY: 319

2.Tadesse, A. W., Tarekegn, S. M., Wagaw, G. B., Muluneh, M. D., & Kassa, A. M. (2022). Prevalence and associated factors of intimate partner violence among married women during COVID-19 pandemic restrictions: A community-based study. Journal of Interpersonal Violence, 37(11–12), NP8632–NP8650. Cited BY:  102

3.Biset, G., Abebaw, N., Gebeyehu, N. A., Estifanos, N., Birrie, E., & Tegegne, K. D. (2024). Prevalence, incidence, and trends of epilepsy among children and adolescents in Africa: A systematic review and meta-analysis. BMC Public Health, 24(1), 771. Cited BY: 55

4.Tegegne, K. D., Cherie, N., Tadesse, F., Tilahun, L., Kassaw, M. W., … (2022). Incidence and predictors of opportunistic infections among adult HIV infected patients on antiretroviral therapy at Dessie Comprehensive Specialized Hospital, Ethiopia: A …. HIV/AIDS – Research and Palliative Care, 195–206. Cited BY: 47

5.Biset, G., Woday, A., Mihret, S., & Tsihay, M. (2021). Full immunization coverage and associated factors among children age 12–23 months in Ethiopia: Systematic review and meta-analysis of observational studies. Human Vaccines & Immunotherapeutics, 17(7), 2326–2335. Cited BY: 41

His systematic reviews and population-level studies translate complex health challenges into actionable insights, shaping healthcare policy, empowering communities, and driving measurable improvements in public health practice.

Mahdi Salehi | Econometrics and Finance | Excellence in Research Award

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Prof. Dr. Mahdi Salehi | Econometrics and Finance | Excellence in Research Award

Professor of Accounting | Ferdowsi University of Mashhad | Iran

Professor Mahdi Salehi is a leading scholar in Accounting at Ferdowsi University of Mashhad, recognized internationally for his extensive contributions to auditing, corporate governance, financial reporting, and capital market behavior. Over nearly two decades, he has produced an outstanding body of research, authoring more than 280 scholarly works, with a citation profile that includes over 611 Published Documents  12445 citations, an h-index of 58, and 274 i10-index entries positioning him among the most influential accounting researchers in the Middle East and emerging markets.His early research played a foundational role in shaping discourse around the audit expectation gap, auditor independence and audit committee effectiveness, demonstrated through seminal works such as Audit Expectation Gap: Reasonableness of Audit Expectation Gap  and Audit Competence and Audit Quality . Throughout he published extensively on entrepreneurship knowledge management corporate governance mechanisms non-audit services the evolution of accounting in Iran financial intermediaries and asymmetric information offering empirical insights into the unique dynamics of emerging economies.Professor Salehi’s most cited works on accounting information systems e-banking on-the-job training effectiveness strategic information systems and audit quality determinants have individually attracted well over 150–300 citations reflecting their enduring theoretical and practical relevance. His more recent publications in influential journals including Sustainability Humanomics Journal of Asian Business and Economic Studies EuroMed Journal of Business and Journal of Financial Reporting and Accounting address contemporary themes such as CSR disclosure CEO opportunism tax avoidance financial transparency innovation investment efficiency bankruptcy risk and corporate reputation.Professor Salehi’s collaborations with scholars across Europe the Middle East and Asia broaden the global comparative understanding of governance and reporting practices. His work consistently integrates empirical rigor with societal relevance contributing to policy debates on transparency auditor responsibility ethical governance and sustainable corporate conduct. With substantial scholarly visibility and real-world impact Professor Salehi stands as a pivotal figure whose research continues to shape accounting thought professional practice and regulatory development in emerging and international contexts.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Salehi, M., Rostami, V., & Mogadam, A. (2010). Usefulness of accounting information system in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(2), 186–195. Cited By : 310

2.Salehi, M., & Alipour, M. (2010). E-banking in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(1), 201–209. Cited By : 282

3.Alipour, M., Salehi, M., & Shahnavaz, A. (2009). A study of on the job training effectiveness: Empirical evidence of Iran. International Journal of Business and Management, 4(11), 63–68. Cited By : 215

4.Hemmatfar, M., Salehi, M., & Bayat, M. (2010). Competitive advantages and strategic information systems. International Journal of Business and Management, 5(7), 158–169. Cited By : 177

5.Salehi, M., Fakhri Mahmoudi, M. R., & Daemi Gah, A. (2019). A meta-analysis approach for determinants of effective factors on audit quality: Evidence from emerging market. Journal of Accounting in Emerging Economies, 9(2), 287–312. Cited By : 168

The nominee’s research advances scientific understanding of financial systems in emerging economies, offering evidence-based insights that strengthen transparency, audit quality, and digital banking adoption. Their work supports more resilient institutions and empowers societies through improved financial decision-making and governance.

Tarun Kumar Lohani | Environmental and Sustainable Materials | Best Academic Researcher Award

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Prof. Tarun Kumar Lohani | Environmental and Sustainable Materials | Best Academic Researcher Award

Professor | Arba Minch University | India

Prof.  Tarun Kumar Lohani is a distinguished Professor at the Arba Minch Water Technology Institute (AWTI), Arba Minch University, Ethiopia, specializing in Water Technology, hydrological modelling, groundwater systems, climate-change–induced water challenges, GIS–based environmental analysis, and machine-learning applications in hydrology. With an extensive research portfolio comprising 119 scholarly documents, 1063 citations, an h-index of 16, and 31 i10-index publications, he has established himself as a leading contributor to contemporary water resource science and sustainability research.Prof. Lohani’s early work on construction materials, particularly the highly cited study on the optimum utilization of quarry dust as a partial replacement of sand in concrete 143 citations demonstrated his ability to bridge engineering materials research with green and cost-efficient construction practices. Over the years, his scholarship has evolved toward advanced hydrological systems climate resilience and watershed modelling. His research contributions span critical themes such as flood susceptibility mapping using multi-criteria decision-making and machine learning 70 citations groundwater quality assessment in Ethiopia’s major basins sediment transport modelling using HEC-RAS and the application of the WetSpass and SWAT models for surface–subsurface water balance and sediment yield simulations.A hallmark of his career is his strong interdisciplinary and international collaboration reflected in joint publications with researchers across India Ethiopia China and multiple global institutions. His work intersects water resource engineering environmental science remote sensing and emerging computational techniques. Notable contributions include hydrodynamic modelling of climate-change scenarios reservoir operation optimization MIKE11-NAM streamflow simulations for data-scarce regions LULC change detection using SVM and ANN models and the integration of metaheuristic and machine-learning approaches in agricultural and environmental systems.Through his research Prof. Lohani has significantly advanced understanding of sustainable water management climate-induced hydrological risks and water security in vulnerable regions. His work supports government agencies local communities and international stakeholders in improving disaster preparedness groundwater sustainability and environmental planning. Recognized for scientific rigor collaborative leadership and societal impact Prof. Lohani continues to contribute meaningfully to global water research and capacity building in the Horn of Africa.

Profiles : ORCID | Scopus | Google Scholar | ResearchGate

Featured Publications

1.Lohani, T. K., Padhi, M., Dash, K. P., & Jena, S. (2012). Optimum utilization of quarry dust as partial replacement of sand in concrete. International Journal of Applied Science and Engineering Research, 1(2), 391–404. Cited by : 143

2.Rakhra, M., Singh, R., Lohani, T. K., & Shabaz, M. (2021). Metaheuristic and machine learning-based smart engine for renting and sharing of agriculture equipment. Cited by : 82

3.Sharma, C., Amandeep, B., Sobti, R., Lohani, T. K., & Shabaz, M. (2021). A secured frame selection based video watermarking technique to address quality loss of data: Combining graph-based transform, singular value decomposition, and hyperchaotic. Cited By : 57

4.Yao, Q., Shabaz, M., Lohani, T. K., Bhatt, M. W., Panesar, G. S., & Singh, R. K. (2021). 3D modelling and visualization for vision-based vibration signal processing and measurement. Cited By : 57

5.Ukumo, T. Y., Abebe, A., Lohani, T. K., & Edamo, M. L. (2023). Flood hazard mapping and analysis under climate change using hydro-dynamic model and RCPs emission scenario in Woybo River catchment of Ethiopia.
Cited By : 32

Prof. Lohani’s work advances hydrological modelling and climate-resilient water management, providing scientifically robust tools that strengthen water security, disaster preparedness, and sustainable resource planning for vulnerable regions.

Maksym Lazirko | Business Management and Accounting | Best Researcher Award

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Prof. Dr. Maksym Lazirko | Business Management and Accounting | Best Researcher Award

Professor | Rutgers University | United States 

Prof. Dr. Maksym Lazirko is an emerging scholar at Rutgers University whose research spans accounting information systems, quantum technologies, emerging technologies, and environmental risk. With a growing academic presence, he has authored 8 publications that collectively reflect 15 citations, an h-index of 2, and an expanding interdisciplinary footprint. His work consistently integrates advanced computational methods with contemporary issues in financial integrity, regulatory compliance, and technological transformation, positioning him at the intersection of accounting innovation and frontier science.Lazirko’s contributions include pioneering studies on quantum computing applications within accounting information systems most notably the article Quantum Computing Standards & Accounting Information Systems which has accrued significant early citation momentum. His research on quantum-inspired cost accounting published in the Journal of Decision Science and Optimization offers an original application of the time-independent Schrödinger equation to model work-in-process dynamics marking a unique methodological advancement. In collaboration with leading scholars such as Miklos A. Vasarhelyi and Deniz Appelbaum he co-developed the “double-helix framework” for proof-of-reserves published in The British Accounting Review contributing to global discourse on cryptocurrency assurance and transparency.His analytical reach extends to metaverse-era AIS applications the integration of AR/VR technology and unsupervised outlier detection in audit analytics using large-scale government spending data. These lines of research demonstrate his commitment to leveraging emerging technologies to strengthen audit quality enhance digital accountability and support data-driven decision-making. His work on Natech disasters co-authored with A. Gates and published in the Journal of Risk Research establishes a continuous monitoring and reporting framework that bridges environmental science with corporate risk governance reflecting broader societal relevance.Lazirko’s scholarly network includes collaborations with researchers across accounting earth sciences computer science and financial technologies highlighting his interdisciplinary orientation. His early but impactful publication record combined with research spanning quantum accounting Web 3.0 compliance metaverse-enabled AIS and environmental risk analytics underscores his potential to influence both academic developments and industry practices. Through these contributions Lazirko advances global conversations on technological governance digital resilience and the evolution of next-generation accounting systems.

Profiles : Scopus | Google Scholar

Featured Publications

1.Lazirko, M. (2023). Quantum computing standards & accounting information systems. arXiv. Cited By :7

2.Lazirko, M. (2025). The quantum dynamics of cost accounting: Investigating WIP via the time-independent Schrödinger equation. Journal of Decision Science and Optimization, 1(1), 35–54. Cited By :4

3.Lazirko, M., Appelbaum, D., & Vasarhelyi, M. (2025). Proof of reserves: A double-helix framework. Cited By : 2

4.Lazirko, M. (2025, June 12). AIS is in the age of the metaverse: Applications of AR/VR technology. VR Technology. Cited By : 2

5.Li, B., Kaplan, B., Lazirko, M., & Kogan, A. (2025). Unsupervised outlier detection in audit analytics: A case study using USA spending data. arXiv.

Lazirko’s work advances the scientific foundations of next-generation accounting systems by integrating quantum technologies, AI, and emerging digital infrastructures, driving global innovation in financial transparency and computational governance.

Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

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Dr. Ahmed El-Sherbeeny | Human Factors Engineering | Best Researcher Award

Assistant Professor | King Saud University  | Saudi Arabia

Dr. Ahmed M. El-Sherbeeny is an Assistant Professor of Industrial Engineering at King Saud University, specializing in safety engineering, human factors and ergonomics, and environmental engineering. With an extensive interdisciplinary research portfolio, he has contributed significantly to high-impact domains including public health, intelligent systems, machine learning, environmental remediation, and industrial sustainability. His scholarly impact is reflected in 456 publications 7,784 citations, an h-index of 44, and an i10-index of 135, positioning him as a highly influential researcher within and beyond his primary discipline.Dr. El-Sherbeeny has collaborated on several landmark global studies most notably the Recovery trials published in The Lancet, which transformed clinical decision-making for COVID-19 treatment. His co-authored works on Tocilizumab Casirivimab/Imdevimab Azithromycin Baricitinib and corticosteroid therapy collectively account for thousands of citations underscoring his role in research that shaped international health policies. Beyond clinical research he has made notable contributions to intelligent security frameworks for electric vehicles machine-learning-driven medical diagnostics and blockchain-based IoT access control demonstrating strong engagement with emerging technological frontiers.In the environmental and materials engineering domains his publications address photocatalytic degradation nanocomposites for pollutant removal drug-delivery materials groundwater quality assessment and energy-efficient systems reflecting an impressive breadth of problem-solving across sustainability and environmental protection. His collaborative works span multiple continents involving international teams from engineering medical sciences environmental chemistry and computational intelligence.Dr. El-Sherbeeny’s research outputs appearing in top-tier journals such as The Lancet Chemical Engineering Journal Journal of Hazardous Materials ACS Omega and IEEE Access highlight both methodological rigor and societal impact. His contributions advance safer industrial systems enhance public health resilience support data-driven environmental management and promote technologically integrated solutions for global sustainability challenges.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Avatefipour, O., Al-Sumaiti, A. S., El-Sherbeeny, A. M., Awwad, E. M., & Elmeligy, M. A. (2019). An intelligent secured framework for cyberattack detection in electric vehicles’ CAN bus using machine learning. Cited By : 185

2.Nadeem, A., Ahmad, S. F., Al-Harbi, N. O., Fardan, A. S., & El-Sherbeeny, A. M. (2017). IL-17A causes depression-like symptoms via NFκB and p38MAPK signaling pathways in mice: Implications for psoriasis associated depression.
Cited By : 172

3.Nadeem, A., Al-Harbi, N. O., Al-Harbi, M. M., El-Sherbeeny, A. M., & Ahmad, S. F. (2015). Imiquimod-induced psoriasis-like skin inflammation is suppressed by BET bromodomain inhibitor in mice through RORC/IL-17A pathway modulation. Pharmacological Research, 99, 248–257.  Cited By : 132

4.Mahum, R., Rehman, S. U., Meraj, T., Rauf, H. T., Irtaza, A., & El-Sherbeeny, A. M. (2021). A novel hybrid approach based on deep CNN features to detect knee osteoarthritis. Cited By : 117

5.Yang, X., Wang, J., El-Sherbeeny, A. M., AlHammadi, A. A., & Park, W. H. (2022). Insight into the adsorption and oxidation activity of a ZnO/piezoelectric quartz core-shell for enhanced decontamination of ibuprofen: Steric, energetic, and oxidation studies. Cited By : 98

Dr. Ahmed M. El-Sherbeeny’s interdisciplinary research integrates industrial engineering, machine learning, and environmental sciences to advance public health, industrial safety, and sustainable technologies. His work informs global healthcare strategies, enhances intelligent systems, and drives innovative solutions with broad societal and industrial impact.