George Efthimiou | Computational Fluid Dynamics | Best Researcher Award

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Dr. George Efthimiou | Computational Fluid Dynamics | Best Researcher Award

Senior Scientist | University of Western Macedonia | Greece

Dr. George C. Efthimiou, affiliated with the Chemical Process & Energy Resources Institute, Thessaloniki, Greece, is a distinguished researcher recognized for his extensive contributions to the fields of atmospheric dispersion modeling, environmental sustainability, and urban air quality analysis. Dr. Efthimiou has established a significant academic presence supported by 66 published documents and 899 citations, reflecting the wide impact and credibility of his scientific research. Holding an h-index of 17, his research demonstrates consistent scholarly influence through innovative modeling and applied environmental studies. His recent works, such as “An Empirical Theoretical Model for the Turbulent Diffusion Coefficient in Urban Atmospheric Dispersion” (Urban Science, 2025), “Predicting Extreme Atmospheric Conditions: An Empirical Approach to Maximum Pressure and Temperature” (Sustainability, 2025), and “Application of an Empirical Model to Improve Maximum Value Predictions in CFD-RANS: Insights from Four Scientific Domains” (Atmosphere, 2024), showcase his commitment to bridging empirical and computational approaches for enhanced environmental predictions. Additional studies, including “An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment” (Atmosphere, 2024) and conference papers on indoor depollution modeling and photocatalytic paint applications, highlight his multidisciplinary engagement in atmospheric chemistry, pollutant transport, and sustainable engineering solutions. Overall, Dr. Efthimiou’s prolific research record and strong citation profile reflect his enduring contributions to advancing urban environmental modeling, air pollution control technologies, and computational fluid dynamics (CFD) in environmental engineering.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Hertwig, D., Efthimiou, G. C., Bartzis, J. G., & Leitl, B. (2012). CFD-RANS model validation of turbulent flow in a semi-idealized urban canopy. Journal of Wind Engineering and Industrial Aerodynamics, 111, 61–72.
Cited by: 121

2. De Sabatino, S., Buccolieri, R., Olesen, H. R., Ketzel, M., Berkowicz, R., Franke, J., … (2011). COST 732 in practice: The MUST model evaluation exercise. International Journal of Environment and Pollution, 44(1–4), 403–418.
Cited by: 102

3. Bartzis, J., Wolkoff, P., Stranger, M., Efthimiou, G., Tolis, E. I., Maes, F., … (2015). On organic emissions testing from indoor consumer products’ use. Journal of Hazardous Materials, 285, 37–45.
Cited by: 82

4. Tolias, I. C., Koutsourakis, N., Hertwig, D., Efthimiou, G. C., Venetsanos, A. G., … (2018). Large Eddy Simulation study on the structure of turbulent flow in a complex city. Journal of Wind Engineering and Industrial Aerodynamics, 177, 101–116.
Cited by: 70

5. Dimitroulopoulou, C., Trantallidi, M., Carrer, P., Efthimiou, G. C., & Bartzis, J. G. (2015). EPHECT II: Exposure assessment to household consumer products. Science of the Total Environment, 536, 890–902.
Cited by: 64

Dr. George C. Efthimiou’s research advances global environmental sustainability by enhancing predictive modeling of air quality and pollutant dispersion, enabling smarter urban planning and cleaner cities. His integration of empirical and computational methods drives innovation in environmental policy, industrial emission control, and climate-resilient urban development.

Monalisha Nayak | spectroscopy | Best Researcher Award

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Ms. Monalisha Nayak | spectroscopy | Best Researcher Award

Research Scholar | Banaras Hindu University | India

Ms. Monalisha Nayak from Banaras Hindu University, Varanasi, India, is an emerging researcher specializing in nanomaterials, semiconductor physics, and optical material engineering. Her work primarily focuses on the design and characterization of doped metal oxide nanostructures, particularly transition metal–doped ZnO nanoparticles, to enhance their optical, magnetic, and electronic functionalities. Ms. Nayak has authored 5 research publications that collectively reflect her growing contribution to the field of advanced materials and nanotechnology. Her research has attracted 3 citations and she holds an h-index of 1, marking the early yet impactful phase of her academic career. A notable publication, “Concentration-engineered structural and optical properties in Fe/Ni Co-Doped ZnO nanoparticles” (Materials Letters, 2026), highlights her innovative approach to concentration engineering, investigating how dual doping modifies the structural defects, bandgap behavior, and photoluminescent responses of ZnO-based systems. Through advanced characterization techniques such as X-ray diffraction (XRD), UV–Vis spectroscopy, and photoluminescence (PL) analysis, she explores the intricate relationship between crystal structure, defect chemistry, and optical emission properties. Her studies contribute significantly to the understanding of defect-controlled tuning of semiconductor materials, with potential applications in optoelectronics, spintronics, photocatalysis, and energy devices. By integrating synthesis innovation with materials characterization, Ms. Nayak’s research advances the scientific foundations of multifunctional nanomaterials, establishing her as a promising figure in the expanding domain of functional oxide nanoscience and photonic material engineering.

Profiles: Scopus | Google Scholar

Featured Publications

1. Patel, C. B., Nayak, M., Pandey, S., Prakash, O., Singh, S. K., & Singh, R. K. (2024). Spectroscopic study of coordination of Cu²⁺ with liquid crystal HBDBA: An investigation at ultra-trace level. Chemical Physics Impact, 8, 100649.
Cited by: 3

2. Nayak, M., Patel, C. B., Mishra, A., Singh, R., & Singh, R. K. (2024). Unveiling the influence of glutathione in suppressing the conversion of aspirin to salicylic acid: A fluorescence and DFT study. Journal of Fluorescence, 34(3), 1441–1451.
Cited by: 1

3. Seth, S., Mondal, B., Nayak, M., & Pal, S. P. (2025). Effect of different synthesis parameters on the structural, morphological and optical properties of hydrothermally synthesized Tungsten Diselenide (WSe₂) nanostructures. Materials Today Communications, Article 113793.

4. Mishra, M., Verma, A., Yadav, R., Singh, S., Singh, S., Srivastava, R., Singh, S. K., … (2025). Concentration-engineered structural and optical properties in Fe/Ni co-doped ZnO nanoparticles. Materials Letters, Article 139398.

5. Nayak, M., Patel, C. B., Prakash, O., Singh, A. K., & Singh, R. K. (2025). Detection of a neurotoxin quinolinic acid at ultra-trace amount: SERS and DFT study. Journal of Raman Spectroscopy.

Yanping Mo | Image Restoration Algorithms | Best Researcher Award

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Ms. Yanping Mo | Image Restoration Algorithms | Best Researcher Award

Postgraduate Student | Xi’an University of Science and Technology | China

Ms. Yanping Mo is a researcher affiliated with the School of Communication and Information Engineering at Xi’an University of Science and Technology, China, and associated with the China Education and Research Network in Beijing. Her research primarily focuses on the intersection of computational imaging, signal processing, and optimization algorithms for image restoration and enhancement. In particular, her recent work titled “Research on plug-and-play image restoration algorithm based on dual weighted ADMM,” published in Optics & Laser Technology (December 2025), demonstrates her expertise in developing advanced optimization frameworks for image reconstruction. The study explores a dual weighted Alternating Direction Method of Multipliers (ADMM) approach that integrates plug-and-play priors to enhance the flexibility and accuracy of image restoration tasks. This approach effectively addresses common challenges in image denoising, deblurring, and super-resolution by adaptively balancing data fidelity and regularization terms. Her contribution lies in improving the convergence stability and computational efficiency of traditional ADMM-based algorithms while maintaining high-quality visual outputs. Through her collaborative work with researchers such as Wei Chen, Zhaohui Li, and Bin Fan, Mo advances the application of mathematical modeling and artificial intelligence techniques in optical and laser imaging technologies. Her research supports the broader goal of enhancing image processing methodologies for scientific imaging, remote sensing, medical imaging, and industrial inspection applications. Overall, Yanping Mo’s research reflects a strong commitment to the development of robust and intelligent algorithms that bridge theory and application in the field of computational optics and image restoration.

Profile: ORCID

Featured Publications

1. Chen, W., Mo, Y., Li, Z., & Fan, B. (2025, December). Research on plug-and-play image restoration algorithm based on dual weighted ADMM. Optics & Laser Technology, 113997.

Xingcai Wu | Agricultural Artificial Intelligence | Best Researcher Award

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Dr. Xingcai Wu | Agricultural Artificial Intelligence | Best Researcher Award

Ph.D. Candidate | Guizhou University | China

Dr. Xingcai Wu, an active researcher at Guizhou University, Guiyang, China, has established a growing research portfolio focused on the intersection of artificial intelligence, precision agriculture, and environmental sustainability. With 17 publications, over 141 citations, and an h-index of 7, his work emphasizes the integration of machine learning, computer vision, and data analytics to enhance agricultural productivity and resource efficiency. A notable contribution is his recent 2025 publication titled “Multimodal Weed Infestation Rate Prediction Framework for Efficient Farmland Management” in Computers and Electronics in Agriculture, which highlights his innovative use of multimodal sensing technologies to optimize weed detection and control systems. His research approach combines remote sensing data, UAV imagery, and AI-driven prediction models to enable real-time decision-making for crop management, soil monitoring, and sustainable land use. Dr. Wu’s broader research interests include smart farming systems, automation in agricultural operations, and environmental data modeling, with a particular focus on developing scalable, data-driven frameworks that address global food security and environmental challenges. Collaborating with a network of over 60 co-authors, his interdisciplinary work bridges computer science, environmental engineering, and agricultural science, contributing to the advancement of intelligent agricultural ecosystems. Through his studies, Dr. Wu aims to promote climate-resilient and technology-enabled farming solutions, positioning his research at the forefront of digital agriculture innovation and reinforcing the role of AI in sustainable rural development.

Profile: Scopus

Featured Publications

1. Wu, X., [Other authors]. (2025). Multimodal weed infestation rate prediction framework for efficient farmland management. Computers and Electronics in Agriculture.
Cited by: 1

Tarek Sheltami | Intrusion Detection Systems | Excellence in Research Award

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Prof. Tarek Sheltami | Intrusion Detection Systems | Excellence in Research Award

Professor | King Fahd University of Petroleum and Minerals | Saudi Arabia

Prof. Tarek Rahil Sheltami is a distinguished researcher at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, whose extensive work spans across wireless communication networks, intelligent transportation systems, and optimization algorithms. With an impressive 188 publications, over 3,372 citations, and an h-index of 31, his research reflects both depth and influence in advancing smart and connected technologies. His recent studies emphasize dynamic traffic network optimization, intelligent mobility, and deep reinforcement learning-based spectrum sharing—key enablers of next-generation smart cities and autonomous systems. Dr. Sheltami’s contributions to network security, particularly in optimizing device hardening in multivendor environments, demonstrate a commitment to enhancing reliability and safety in complex infrastructures. His investigations into last-mile delivery optimization, drone-assisted logistics, and vehicular communication systems integrate artificial intelligence, machine learning, and simulation-based modeling to solve real-world mobility challenges. As a collaborator in numerous interdisciplinary projects, he has significantly influenced the development of smart transportation ecosystems, Internet of Things (IoT) applications, and cyber-physical systems. His editorial and conference contributions, such as the 1st International Conference on Smart Mobility and Logistics Ecosystems (SMiLE 2024), further underscore his leadership in bridging research and innovation in digital transportation. Overall, Dr. Sheltami’s scholarly portfolio represents a fusion of computational intelligence, network optimization, and sustainable urban mobility solutions, positioning him as a pivotal figure in shaping the future of smart, secure, and adaptive communication systems.

Profiles: Scopus | ORCID | Google Scholar

Featured publications

1. Shakshuki, E., Kang, N., & Sheltami, T. (2013). EAACK—A secure intrusion detection system for MANETs. IEEE Transactions on Industrial Electronics, 60(3), 1089–1098.
Cited by: 527

2. Kang, N., Shakshuki, E. M., & Sheltami, T. R. (2010). Detecting misbehaving nodes in MANETs. Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 216–222. 
Cited by: 154

3. Chaer, A., Salah, K., Lima, C., Ray, P. P., & Sheltami, T. (2019). Blockchain for 5G: Opportunities and challenges. 2019 IEEE Globecom Workshops (GC Wkshps), 1–6. 
Cited by: 146

4. Akhlaq, M., Sheltami, T. R., & Mouftah, H. T. (2012). A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and Biotechnology, 11(3), 305–322. 
Cited by: 141

5. Sheltami, T., Al-Roubaiey, A., Shakshuki, E., & Mahmoud, A. (2009). Video transmission enhancement in presence of misbehaving nodes in MANETs. Multimedia Systems, 15(5), 273–282. 
Cited by: 139

Mohammad Alomari | Financial inclusion | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Alomari | Financial inclusion | Best Researcher Award

Associate Professor | The Hashemite university | Jordan

Assoc. Prof. Dr. Mohammad W. Alomari, affiliated with Hashemite University in Zarqa, Jordan, focuses his research on development economics, with particular attention to poverty alleviation, microfinance, and socio-economic policy analysis. His scholarly contributions investigate the chronic nature of poverty and the mechanisms through which financial tools, like microfinance, can mitigate its severity and long-term impacts. Through empirical analysis, Dr. Alomari explores how targeted economic interventions influence both individual livelihoods and broader economic structures, especially in developing and underserved regions. His work, such as the 2025 article “The chronic illness of poverty: the effects of microfinance on the severity of poverty and the cost of its eradication” published in the Journal of Economic Studies, underscores the multidimensionality of poverty, arguing that financial inclusion strategies can reduce vulnerability and foster resilience among the poor. Moreover, his research critically examines the cost-effectiveness of poverty eradication programs, contributing valuable insights for policymakers and international development agencies. With 12 publications , 67 citations and an h-index of 5, Dr. Alomari has established a growing academic presence, cited across diverse economic and social science forums. His work often intersects with themes such as income inequality, sustainable development, and the economic empowerment of marginalized populations. Dr. Alomari’s research approach blends quantitative and policy-oriented perspectives, making his findings both academically robust and practically applicable. His contributions support ongoing efforts to design evidence-based economic policies that address persistent poverty and promote inclusive growth in low-income and transitional economies.

Profiles: Scopus | Google Scholar

Featured Publications

1. Alomari, M. W., & Azzam, I. A. (2017). Effect of the micro and macro factors on the performance of the listed Jordanian insurance companies. International Journal of Business and Social Science, 8(2), 66–73. Cited by: 65

2. Alomari, M. W., Marashdeh, Z., & Bashayreh, A. G. (2019). Contribution of financial market development in competitiveness growth. Cogent Economics & Finance.
Cited by: 24

3. Marashdeh, Z., Alomari, M. W., Khataybeh, M., & Alkhataybeh, A. (2021). Female representation on the boards of directors of non-financial companies. Journal of Governance and Regulation, 10(2).
Cited by: 20

4. Marashdeh, R. M. A. Z., Alomari, M. W., & Aleqab, M. M. (2021). Board characteristics and firm performance: The case of Jordanian non-financial institutions. Journal of Governance & Regulation, 10(3), 150–159.
Cited by: 19

5. Abdelhadi, S., Bashayreh, A. G., & Alomari, M. W. (2019). The impact of export instability on economic growth: Sample of MENA countries. International Journal of Economics and Business Research, 18(4), 429–435.
Cited by: 19

 

Shao-Chun Li | Quantum Materials | Best Researcher Award

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Prof. Shao-Chun Li | Quantum Materials | Best Researcher Award

Professor | Nanjing University | China

Prof. Shao Chun Li, affiliated with Nanjing University, is a prolific researcher whose work primarily focuses on condensed matter physics and materials science, particularly low-dimensional quantum materials. His research explores the fundamental electronic properties of transition metal dichalcogenides (TMDs) and topological materials such as WTe₂ and ZrTe₅. These materials are of significant interest due to their exotic quantum phenomena, including quantum spin Hall effect, topological insulating behavior, superconductivity, charge density waves, and pseudogap states. Notable among his contributions is the observation of a Coulomb gap in monolayer 1T’-WTe₂, which has implications for understanding electron-electron interactions in two-dimensional systems. He has also investigated potassium-intercalated Td-WTe₂ and revealed emergent superconducting properties, broadening the potential for novel quantum device applications. Furthermore, his work on 1T-TiSe₂ provided insights into charge density wave inhomogeneity and pseudogap phenomena, contributing to the broader understanding of correlated electron systems. Through detailed experimental techniques such as scanning tunneling microscopy (STM) and angle-resolved photoemission spectroscopy (ARPES), Prof. Li’s research elucidates the complex interplay of lattice, charge, and spin in quantum materials. With over 3,642 citations and an h-index of 30, his scholarly output, including 59 publications in high-impact journals like Nature Communications, Nano Letters, and Physical Review B, reflects his strong influence in the field. Prof. Li’s investigations not only deepen the fundamental understanding of quantum states of matter but also support the development of next-generation electronic and quantum technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Song, Y.‑H., Jia, Z.‑Y., Zhang, D., Zhu, X.‑Y., Shi, Z.‑Q., Wang, H., Zhu, L., Yuan, Q.‑Q., Zhang, H., Xing, D.‑Y., & Li, S.‑C. (2018). Observation of Coulomb gap in the quantum spin Hall candidate single‑layer 1T′‑WTe₂. Nature Communications, 9(1). 
 Cited by: 74

2. Zhu, L., Li, Q.‑Y., Lv, Y.‑Y., Li, S.‑C., Zhu, X.‑Y., Jia, Z.‑Y., et al. (2018). Superconductivity in potassium‑intercalated Td‑WTe₂. Nano Letters, 18(10). 
Cited by: 63

3. Zhang, K.‑W., Yang, C.‑L., Lei, B., Lu, P., Li, X.‑B., Jia, Z.‑Y., Song, Y.‑H., Sun, J., Chen, X., Li, J.‑X., & Li, S.‑C. (2018). Unveiling the charge density wave inhomogeneity and pseudogap state in 1T‑TiSe₂. Science Bulletin, 63(7), 426‑432. 
Cited by: 20

Amber Pervaiz | Economics | Best Researcher Award

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Dr. Amber Pervaiz | Economics | Best Researcher Award

Analyst | University of Education | Pakistan

Dr. Amber Pervaiz is a distinguished academic in the field of Economics, holding a PhD with over 7 years of research experience. She has been recognized for her outstanding academic and research contributions, including being a Gold Medalist and receiving multiple awards such as the Best Researcher Award (2019) and a Cash Prize from Superior University for her top position in M.Phil. Economics (2020). Her expertise spans advanced econometrics, spatial analysis, quantitative techniques, and the proficient use of analytical tools like Smart PLS, EViews, Stata, SPSS, and Geoda. Dr. Pervaiz’s research is primarily focused on Economics & Finance, Energy & Environment, with key interests in Climate Change, Sustainability, the Green Economy, and Inclusive Wealth. She has presented and chaired sessions at several national and international conferences and served as a keynote speaker in Malaysia. Her teaching interests include Microeconomics, Macroeconomics, Econometrics, and Research Methodology. Her impactful scholarship highlights her commitment to addressing critical economic and environmental challenges through rigorous empirical research. According to Scopus, she has published 19 documents, with 606 citations, and holds an h-index of 8.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahmed, F., Kousar, S., Pervaiz, A., & Shabbir, A. (2022). Do institutional quality and financial development affect sustainable economic growth? Evidence from South Asian countries. Borsa Istanbul Review, 22(1), 189–196.
Cited by: 311

2. Ahmed, F., Kousar, S., Pervaiz, A., Trinidad-Segovia, J. E., & Others. (2022). Role of green innovation, trade and energy to promote green economic growth: A case of South Asian Nations. Environmental Science and Pollution Research, 29(5), 6871–6885.
Cited by: 139

3. Abbas, S., Kousar, S., & Pervaiz, A. (2021). Effects of energy consumption and ecological footprint on CO₂ emissions: An empirical evidence from Pakistan. Environment, Development and Sustainability, 23(9), 13364–13381.
Cited by: 118

4. Ahmed, F., Kousar, S., Pervaiz, A., & Ramos-Requena, J. P. (2020). Financial development, institutional quality, and environmental degradation nexus: New evidence from asymmetric ARDL co-integration approach. Sustainability, 12(18), 7812.
Cited by: 112

5. Ullah, A., Dogan, M., Pervaiz, A., Bukhari, A. A. A., Akkus, H. T., & Dogan, H. (2024). The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis. Technology in Society, 77, 102484.
Cited by: 76

Yaqin wu | Natural Language Processing | Best Researcher Award

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Ms. Yaqin Wu | Natural Language Processing | Best Researcher Award

Lecturer | Shanxi Agricultural University | China

Ms. Yaqin Wu is a dedicated researcher with specialized expertise in acoustic signal analysis, deep learning, and multimodal information fusion. Yaqin is adept in Python, MATLAB, MySQL, and Linux systems. Their academic and project experience spans both voice signal processing and intelligent animal behavior monitoring. Yaqin has led and participated in several impactful projects, including the development of an automatic pathological voice disorder detection system (2022–2023), a MATLAB-based ideological education initiative, and a master’s thesis on pathological voice restoration algorithms, which involved advanced techniques like multi-tone signal processing and speech synthesis. They contributed to AVS audio codec development and handled multiple modules including G.729 codec optimization. Notably, Yaqin is involved in pioneering multimodal deep learning projects for health and behavior monitoring in livestock, combining audio and video data to detect issues like coughing and feeding irregularities. Their work has also extended to calf diarrhea behavior detection using asynchronous multimodal fusion. Recognized for academic excellence and leadership, Yaqin has received multiple honors, including the “Outstanding Achievement Award” for their master’s thesis, first prizes in science and mathematics competitions, and numerous scholarships and commendations across institutions. To date, Yaqin Wu has published 9 documents, received 80 citations, and holds an h-index of 3, reflecting a growing impact in the fields of signal processing and intelligent monitoring systems.

Profile: Scopus

Featured Publication

1. GBNF-VAE: A pathological voice enhancement model based on gold section for bottleneck feature with variational autoencoder.
Cited by: 2