Yirga Munaye | Computer Science | Best Researcher Award

Assoc. Prof. Dr. Yirga Munaye | Computer Science | Best Researcher Award

Postdoctoral Researcher | Bahir Dar University | Ethiopia

Dr. Yirga Munaye is a distinguished researcher at Bahir Dar University, Ethiopia, specializing in wireless communication, UAV systems, artificial intelligence, IoT, and cybersecurity. With 36 publications and 599 citations, he has made significant contributions to UAV positioning, indoor/outdoor localization, deep learning for resource management, and secure network infrastructures. His collaborations span 36 international co-authors, reflecting strong interdisciplinary and global engagement. Dr. Munaye’s research addresses critical societal challenges, including smart connectivity, network optimization, and AI-driven security solutions, advancing both theoretical knowledge and practical applications in emerging technologies worldwide.

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Naveed Khan | Econometrics and Finance | Best Researcher Award

Mr. Naveed Khan | Econometrics and Finance | Best Researcher Award

Lecturer | International Islamic University | Pakistan

Dr. Naveed Khan is a finance scholar at the International Islamic University, Islamabad, specializing in asset pricing, corporate governance, financial stability, and market risk under economic uncertainty. He holds a PhD focused on asset pricing anomalies across BRICS economies, with earlier research on dividend policy and factor models in Pakistan. Dr. Khan has authored 15 Scopus-indexed publications with 50+ citations, an h-index of 5, and papers in leading journals such as Heliyon, Risks, Computational Economics, and Resources Policy. His work employs advanced econometric and quantile-based methods and informs policy debates on financial resilience, governance, and investment decision-making in emerging markets.

Naveed Khan
Lecturer, International Islamic University

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Erginbay Uğurlu | Financial Econometrics | Best Researcher Award

Prof. Dr. Erginbay Uğurlu | Financial Econometrics | Best Researcher Award

Head of Department of Economics and Finance | Istanbul Aydın University | Turkey

Prof. Dr. Erginbay Uğurlu is a leading scholar in financial econometrics, risk management, and energy economics, with extensive experience in modeling, policy analysis, and empirical finance. He has authored over 50 peer-reviewed publications, including high-impact Q1–Q2 journals, accumulating significant citations and global recognition. His work integrates advanced econometric techniques such as DCC-GARCH and Markov switching models to address complex financial, environmental, and energy-related risks. Prof. Uğurlu has held postdoctoral research appointments at Columbia University, served on editorial boards, and contributed to numerous international projects, fostering interdisciplinary collaboration. His research advances evidence-based policy, sustainable financial systems, and data-driven decision-making, making a tangible societal impact in energy, finance, and environmental planning.

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Erginbay Uğurlu
Istanbul Aydın University

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Featured Publications


Income Inequality and Inflation in the EU


– International Strategic Management Association, University of Piraeus, 2012 · 181 citations


Ekonometri Uygulamaları Kılavuzu


– Lambert Academic Publishing, 2023 · 64 citations


Büyüme, Doğrudan Yabancı Sermaye Yatırımları ve Yurtiçi Yatırımlar Arasındaki Etkileşim


– Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2007 · 55 citations


Real Exchange Rate and Economic Growth: Turkey


– MANAS Sosyal Bilimler Dergisi, 2009 · 51 citations

Aiyshwariya Devi | Artificial Intelligence | Best Researcher Award

Dr. R. Aiyshwariya Devi | Artificial Intelligence | Best Researcher Award

RMK College Of Engineering and Technology| India

The author demonstrates strong research leadership in IoT security, AI, and data-driven systems, supported by 30+ scholarly documents, 129 citations, and an h-index of 4, reflecting consistent academic impact and relevance. Strengths include interdisciplinary research output, funded project leadership, patent-oriented innovation, editorial and reviewer experience, and sustained contributions to high-quality journals and conferences. Areas for improvement include expanding publications in higher-impact Q1 journals, increasing international co-authorship, and translating research prototypes into large-scale real-world deployments. The author’s future potential is significant, particularly in advancing secure AI-enabled IoT architectures, quantum-enhanced machine learning, and industry–academia collaborative research, positioning them as a strong candidate for research excellence and innovation-focused awards.

Dr. R. Aiyshwariya Devi
Associate Professor, RMK College of Engineering & Technology

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Featured Publications


Energy-efficient cluster head selection scheme based on FMPDM for MANETs


– International Journal of Innovative Research in Science, Engineering and Technology, 2014 · 13 citations


IoT device security for smart card fraud detection for credit cards


– 2nd International Conference on Advancements in Electrical & Electronics Engineering, 2023 · 5 citations


An IoT Security-Based Electronic Aid for Visually Impaired Detection with Navigation Assistance System


– International Journal of Advanced Science and Technology, 2020 · 4 citations

Rafał Bistroń | Quantum Information | Best Researcher Award

Mr. Rafał Bistroń | Quantum Information | Best Researcher Award

Uniwersytet Jagielloński | Poland

Rafał Bistroń is a PhD candidate in Theoretical Physics at Jagiellonian University, enrolled in the Doctoral School of Exact and Natural Sciences, where he maintains an outstanding academic record (GPA 5.0/5.0). His research focuses on quantum information theory, mathematical physics, and near-term quantum computing. He is the author of several peer-reviewed journal articles and multiple preprints, with over 40 citations to date, including contributions to Journal of Physics A, Physical Review D, Linear Algebra and its Applications, and SciPost Physics. He has collaborated internationally through NCN and Quantera-funded projects and research internships abroad. His work advances the mathematical foundations of quantum technologies with long-term societal relevance for secure communication and quantum computation.

Rafał Bistroń
PhD Student, Jagiellonian University

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Featured Publications


Monotonicity of a quantum 2-Wasserstein distance


– Journal of Physics A: Mathematical and Theoretical, 2023 · 25 citations


Tristochastic operations and products of quantum states


– Journal of Physics A: Mathematical and Theoretical, 2023 · 3 citations


Genuinely quantum families of 2-unitary matrices


– arXiv preprint, 2023 · 3 citations


A new class of distances on complex projective spaces


– Linear Algebra and its Applications, 2025 · 1 citation

 

Bijal Bahuleyan | Polymer Nanocomposites | Best Researcher Award

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

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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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

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

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

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.