Abdul Qadir | Machine Learning in Physics | Innovative Research Award

Published on by Physicist Particle

Innovative Research Award

Abdul Qadir – Wichita State University

Abdul Qadir
Affiliation Wichita State University
Country United States
Goggle Scholar ID View Profile
Documents 10
Citations 4
h-index 1
Subject Area Composite Materials
Event Global Particle Physics Excellence Awards
ORCID 0009-0004-3993-692X

Abdul Qadir is a researcher in mechanical engineering and advanced materials whose work spans composite materials, semiconductor applications, renewable energy systems, fluid dynamics, and artificial intelligence-assisted experimental analysis. His academic profile reflects interdisciplinary research activities that combine engineering fundamentals with emerging computational approaches. The Innovative Research Award recognizes scholarly efforts that demonstrate originality, practical relevance, and measurable scientific contribution within contemporary research domains.[1]

Abstract

This article summarizes the academic achievements and research activities of Abdul Qadir in the fields of composite materials, energy systems, fluid measurements, and machine learning-assisted engineering analysis. His work emphasizes the integration of experimental methodologies with computational tools to improve measurement accuracy and material performance. The body of research includes journal articles, conference papers, and scholarly chapters that contribute to ongoing scientific discussions in engineering and applied sciences.[1]

Keywords

Composite Materials, Particle Streak Velocimetry, Renewable Energy, Semiconductor Materials, Artificial Intelligence, Photocatalysis, Mechanical Engineering, Experimental Fluid Dynamics.

Introduction

Research in modern engineering increasingly requires multidisciplinary collaboration and the combination of experimental and computational methods. Abdul Qadir has contributed to this evolving landscape through studies involving fluid measurement technologies, advanced coatings, photocatalysis, and data-driven optimization. His academic activities demonstrate engagement with practical engineering challenges while supporting broader scientific advancement through publication and knowledge dissemination.[2]

Research Profile

Currently affiliated with Wichita State University as a Research Assistant, Abdul Qadir has pursued research across multiple international academic environments. His interests include composite materials, renewable energy technologies, semiconductor-based photocatalysis, image processing, and machine learning applications in engineering. These areas collectively support innovative approaches for solving complex technical problems while improving experimental reliability and analytical accuracy.[1]

Research Contributions

  • Development of AI-assisted noise removal approaches for particle streak velocimetry imaging.
  • Research on hard ceramic coatings for aerospace alloy applications.
  • Studies on photocatalytic nitrogen fixation and semiconductor materials.
  • Optimization techniques for biodiesel production and energy systems.
  • Advancement of flow measurement methodologies through experimental and computational integration.

Publications

The publications authored and co-authored by Abdul Qadir reflect a multidisciplinary research approach spanning composite materials, renewable energy systems, fluid dynamics, semiconductor materials, and artificial intelligence applications in engineering. His scholarly work emphasizes the integration of experimental investigations with advanced computational techniques to address contemporary engineering challenges. Through journal articles, conference proceedings, book chapters, and technical presentations, he has contributed to the advancement of knowledge in materials characterization, flow measurement technologies, photocatalytic processes, and data-driven optimization methods. These publications demonstrate a commitment to scientific rigor, innovation, and the dissemination of research findings to both academic and industrial communities.[3]

Research Impact

The documented publication record highlights contributions to engineering measurement systems, materials science, and sustainable energy research. Through peer-reviewed articles and conference presentations, Abdul Qadir has supported the dissemination of methodologies that improve data quality and engineering analysis. The combination of experimental validation and computational innovation reflects a research profile aligned with contemporary scientific priorities.[3]

Award Suitability

The Innovative Research Award recognizes researchers whose work demonstrates originality, interdisciplinary engagement, and scholarly productivity. Abdul Qadir’s contributions to composite materials, energy technologies, and AI-enhanced experimental methods align with these criteria. His publication record, international academic experience, and commitment to advancing engineering knowledge support consideration for recognition within the Global Particle Physics Excellence Awards framework.[4]

Conclusion

Abdul Qadir’s academic portfolio demonstrates sustained involvement in multidisciplinary engineering research. His studies address practical challenges in materials science, renewable energy, and measurement technologies while incorporating modern computational techniques. These contributions reflect a developing research trajectory characterized by innovation, technical rigor, and scholarly engagement across multiple domains.

References

    1. ORCID. (2026). Abdul Qadir (0009-0004-3993-692X) researcher profile. ORCID Registry.
      https://orcid.org/0009-0004-3993-692X
    2. Qadir, A., & Asmatulu, R. (2026). Comprehensive Review of Hard Ceramic Coatings for Aerospace Alloys: Fabrication, Characterization and Future Perspectives. Journal of Manufacturing and Materials Processing.
      https://doi.org/10.3390/jmmp10050179
    3. Qureshi, M. H., Qadir, A., & Tien, W. H. (2024). A Novel Technique to Resolve Directional Ambiguity for Particle Streak Velocimetry. Flow Measurement and Instrumentation.
      https://doi.org/10.1016/j.flowmeasinst.2024.102712
    4. Urgesa, M. H., Putra, D. F. A., Qadir, A., Khan, U. A., Huang, T. C., Chiu, Y. X., & Lin, J. H. (2023). Photocatalytic Nitrogen Fixation on Semiconductor Materials: Fundamentals, Latest Advances, and Future Perspective. Green Energy and Technology.
      https://doi.org/10.1007/978-981-19-6748-1_3

Mahmoud Elalfy | Particle Experiments | Outstanding Contribution Award

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Assoc. Prof. Dr. Mahmoud Elalfy | Particle Experiments | Outstanding Contribution Award

King Faisal University, Saudi Arabia

Assoc. Prof. Dr. Mahmoud Elalfy is a distinguished academic and researcher affiliated with King Faisal University, recognized for his meaningful contributions to veterinary sciences, toxicology, and biomedical research. His scholarly profile demonstrates consistent academic productivity with 13 indexed documents, 84 citations, and an h-index of 6, reflecting notable scientific influence and research visibility. Dr. Elalfy’s recent work on azoxystrobin-induced genetic damage and histopathological alterations in albino rats highlights his expertise in toxicological assessment, experimental biology, and biomedical investigation. His research combines laboratory analysis, quantitative prediction models, and pathological evaluation to address significant scientific and health-related concerns. Through interdisciplinary collaborations and scientific publications, he has contributed to advancing knowledge in animal health, environmental toxicology, and physiological sciences. His growing academic reputation, commitment to research excellence, and dedication to impactful scientific exploration establish him as a promising contributor within modern veterinary and biomedical research communities.

Professional Profile

Education

Assoc. Prof. Dr. Mahmoud Elalfy has developed a distinguished academic foundation through advanced studies in veterinary medicine, physiology, toxicology, and biomedical sciences. His educational journey reflects strong scientific preparation in experimental pathology, molecular biology, pharmacology, and physiological investigations. Through rigorous academic training, he acquired expertise in laboratory experimentation, histopathological diagnostics, genetic toxicology, and quantitative biological analysis. His scholarly background has enabled him to contribute effectively to interdisciplinary biomedical research addressing oxidative stress, carcinogenic compounds, cellular apoptosis, and tissue protection mechanisms. Dr. Elalfy’s academic development is further reflected in his internationally indexed scientific publications and collaborative research contributions. His Scopus profile demonstrates 13 documents, 84 citations by 84 documents, and an h-index of 6, highlighting measurable scientific influence and academic productivity. Through continuous learning and research engagement, he has strengthened his capabilities in biomedical innovation, translational physiology, and toxicological assessment, positioning himself as a dedicated scholar committed to advancing scientific understanding in veterinary and health-related disciplines.

Professional Experience

Assoc. Prof. Dr. Mahmoud Elalfy has gained extensive professional and academic experience through his affiliation with King Faisal University and his involvement in multidisciplinary biomedical investigations. His experience includes experimental physiology, toxicological pathology, molecular research, and animal model-based scientific studies. Over the years, he has actively contributed to research examining oxidative stress, tissue injury, carcinogenic effects, and protective pharmacological mechanisms. His work combines laboratory experimentation with quantitative biological analysis to investigate complex physiological disorders and toxicological responses. Dr. Elalfy has collaborated with numerous international co-authors, strengthening interdisciplinary scientific communication and research integration. His publication portfolio demonstrates consistent scholarly productivity and active participation in high-quality biomedical research initiatives. Through scientific supervision, collaborative studies, and advanced experimental investigations, he has established a strong professional reputation in physiology and toxicology. His experience reflects dedication to scientific precision, academic excellence, and meaningful contributions toward improving biomedical and veterinary research methodologies.

Research Interest

Assoc. Prof. Dr. Mahmoud Elalfy focuses his research on toxicology, molecular physiology, pharmacological protection, histopathology, and experimental biomedical sciences. His investigations particularly emphasize oxidative stress pathways, genetic damage, carcinogenic exposure, apoptosis, autophagy regulation, and tissue protection mechanisms using experimental animal models. Dr. Elalfy has explored the biological influence of toxic compounds and therapeutic substances through advanced laboratory methodologies and physiological assessments. His studies involving Nrf2 signaling, PPARγ regulation, and pathological tissue alterations demonstrate strong interest in cellular defense systems and disease prevention strategies. Additionally, his work on carcinogenic compounds and cancer bioassays reflects expertise in translational biomedical applications and toxicological risk evaluation. With 13 indexed publications, 84 citations, and an h-index of 6, his scientific contributions continue to gain recognition within biomedical and veterinary research communities. His evolving research interests integrate molecular biology, toxicological pathology, and physiological therapeutics to advance innovative healthcare solutions and experimental scientific discovery.

Award and Honor

Assoc. Prof. Dr. Mahmoud Elalfy has earned significant academic recognition through impactful biomedical publications, interdisciplinary collaborations, and contributions to toxicological and physiological research. His scientific profile demonstrates growing international visibility with 13 published documents, 84 citations, and an h-index of 6, indicating meaningful research influence and scholarly consistency. His publications in respected journals including PLoS ONE, Korean Journal of Physiology and Pharmacology, and Journal of Basic and Clinical Physiology and Pharmacology reflect professional acknowledgment of his research quality and scientific relevance. His investigations into oxidative stress, carcinogenic toxicity, and cellular protection mechanisms have strengthened his reputation within biomedical science and veterinary physiology. Through collaborative international research and advanced experimental investigations, Dr. Elalfy has established himself as a promising scholar dedicated to scientific advancement, innovative biomedical exploration, and impactful physiological research with growing academic distinction.

Conclusion

Assoc. Prof. Dr. Mahmoud Elalfy represents a committed and innovative researcher whose scientific journey reflects academic excellence, interdisciplinary collaboration, and impactful biomedical contributions. His educational background, professional experience, and focused research investigations have enabled him to build a meaningful scientific presence within toxicology, physiology, and experimental biomedical sciences. With 13 indexed publications, 84 citations, and an h-index of 6, he has demonstrated measurable research impact and growing international recognition. His studies involving oxidative stress regulation, carcinogenic assessment, tissue pathology, and molecular therapeutic mechanisms illustrate analytical depth and translational scientific relevance. Through continuous publication efforts, collaborative engagement, and advanced laboratory investigations, Dr. Elalfy continues to strengthen his academic influence and future research potential. His dedication to advancing biomedical knowledge, improving experimental methodologies, and contributing to healthcare-oriented scientific innovation positions him as a valuable contributor to contemporary biomedical and veterinary research communities.

Publications Top Notes

Title: Cardamonin exerts a protective effect against autophagy and apoptosis in the testicles of diabetic male rats through the expression of Nrf2 via p62-mediated Keap-1 degradation
Authors: Samir, S.M.; Elalfy, M.; Nashar, E.M.E.; Alghamdi, M.A.; Hamza, E.; Serria, M.S.; Elhadidy, M.G.
Year: 2021

Title: Prophylactic effect of aquatic extract of stevia on acetic acid induced-ulcerative colitis in male rats: A possible role of Nrf2 and PPARγ
Authors: Mostafa, A.F.; Elalfy, M.M.; Shata, A.; Elhadidy, M.G.
Year: 2020

Title: PET/CT imaging of c-Myc transgenic mice identifies the genotoxic N-Nitroso-Diethylamine as carcinogen in a Short-Term cancer bioassay
Authors: Hueper, K.; Elalfy, M.; Laenger, F.; Halter, R.; Rodt, T.; Galanski, M.; Borlak, J.
Year: 2012

Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

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Dr. Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

Symbiosis Institute of Technology, India

Dr. Praveen Kumar Dhankar is an emerging researcher recognized for his valuable academic and scientific contributions in cosmology, modified gravity theories, and applied machine learning. Affiliated with Symbiosis Institute of Technology, he has demonstrated consistent research productivity through publications in reputed international journals. His scholarly profile reflects 40 documents, 78 citations, and an h-index of 5, highlighting growing academic influence within interdisciplinary scientific domains. His recent investigations in Gauss–Bonnet gravity, f(G) cosmology, and observational astrophysics showcase analytical expertise and strong computational understanding. In addition, his work connecting machine learning with precision agriculture illustrates research versatility and practical innovation. Through continuous engagement in advanced theoretical studies and collaborative scientific publications, Dr. Dhankar has established himself as a dedicated researcher contributing to modern developments in physics, cosmology, and data-driven applications with promising future research potential.

Professional Profile

Education

Dr. Praveen Kumar Dhankar has developed a strong academic foundation through dedicated study in physics, computational sciences, and interdisciplinary technological applications. His educational journey reflects a deep commitment to understanding theoretical cosmology, modified gravity theories, and modern data-driven scientific methodologies. Through advanced academic training, he acquired expertise in analytical modeling, observational data interpretation, statistical techniques, and machine learning applications in scientific research. His educational background has enabled him to work effectively across diverse scientific domains, combining theoretical understanding with computational innovation. Continuous engagement with emerging scientific developments has strengthened his academic profile and expanded his technical competencies in cosmological simulations and predictive analysis. His educational preparation demonstrates intellectual curiosity, scientific discipline, and the capacity to contribute meaningfully to modern research challenges. This strong academic grounding has become the basis for his growing influence in theoretical physics and interdisciplinary computational investigations.

Professional Experience

Dr. Praveen Kumar Dhankar possesses valuable professional and research experience through his academic association with Symbiosis Institute of Technology and collaborative scientific projects. His experience spans theoretical cosmology, modified gravity investigations, computational data analysis, and interdisciplinary technological applications. Over the years, he has actively participated in scholarly collaborations, contributing to scientific discussions involving cosmological constraints, observational datasets, and astrophysical modeling. His research activities demonstrate proficiency in statistical tools, including MCMC methods, which are widely applied in modern cosmological investigations. Furthermore, Dr. Dhankar has explored practical technological implementations through machine learning-based agricultural prediction systems, showcasing multidimensional professional capabilities. His academic profile includes 40 published documents and collaborations with numerous co-authors, reflecting strong engagement within the research community. Through consistent publication efforts, conference participation, and interdisciplinary contributions, he has developed an impressive professional portfolio that combines theoretical expertise, computational proficiency, and innovative research thinking in both physical sciences and applied technological domains.

Research Interest

Dr. Praveen Kumar Dhankar focuses his research on modern cosmology, modified gravity theories, observational astrophysics, and computational modeling. His scientific interests particularly emphasize f(G) gravity, Gauss–Bonnet gravity, dark energy models, and cosmological parameter estimation using advanced statistical techniques. He actively investigates the compatibility of theoretical cosmological models with observational datasets such as DESI BAO measurements and multi-fluid cosmological systems. His research demonstrates a strong commitment to understanding the accelerated expansion of the universe and alternative explanations beyond conventional cosmological frameworks. Additionally, Dr. Dhankar explores interdisciplinary applications involving machine learning and predictive analytics, especially within precision agriculture and intelligent recommendation systems. His work combines theoretical formulation, numerical simulation, and data-driven interpretation to address complex scientific challenges. With 40 research documents, 78 citations, and an h-index of 5, his evolving research profile reflects growing influence in cosmology and computational science while highlighting his dedication to advancing innovative, interdisciplinary, and evidence-based scientific investigations.

Award and Honor

Dr. Praveen Kumar Dhankar has earned growing academic recognition through his impactful scientific publications, collaborative research contributions, and consistent scholarly productivity. His Scopus-indexed profile demonstrates notable research visibility with 40 published documents, 78 citations received from 55 documents, and an h-index of 5, reflecting meaningful influence within the scientific community. His publications in reputed journals such as Physics of the Dark Universe and European Physical Journal C signify professional acknowledgment of his research quality and scientific relevance. Dr. Dhankar’s contributions to modified gravity theories, cosmological modeling, and machine learning applications have strengthened his academic reputation among interdisciplinary researchers. His collaborations with numerous co-authors and participation in contemporary research initiatives further highlight his professional credibility. Although his career continues to evolve, the measurable impact of his publications and research activities positions him as a promising scholar deserving recognition for scientific excellence, innovative thinking, and dedication toward advancing modern theoretical and computational research methodologies.

Conclusion

Dr. Praveen Kumar Dhankar represents a promising and dedicated researcher whose academic journey reflects strong commitment to scientific advancement, interdisciplinary innovation, and scholarly excellence. His educational background, professional experience, and focused research contributions have enabled him to build a meaningful presence within cosmology, theoretical physics, and computational applications. With 40 research documents, 78 citations, and an h-index of 5, he has demonstrated measurable research impact and growing recognition within international scientific communities. His investigations in modified gravity theories, observational cosmology, and machine learning applications illustrate both analytical depth and practical research versatility. Through continuous publication efforts, collaborative engagements, and innovative scientific exploration, Dr. Dhankar continues to strengthen his academic reputation and future research potential. His dedication to advancing knowledge, solving complex scientific challenges, and integrating computational methodologies into interdisciplinary studies establishes him as a valuable contributor to contemporary scientific research and an emerging leader in modern theoretical and applied sciences.

Publications Top Notes

Title: Interaction of divergence-free deceleration parameter in Weyl-type f (Q, T) gravity
Authors: GN Gadbail, S Arora, P Kumar, PK Sahoo
Year: 2022
Citation: 25

Title: Modified Chaplygin gas with bulk viscous cosmology in FRW (2+ 1)-dimensional spacetime
Authors: GS Khadekar, P Kumar, S Islam
Year: 2019
Citation: 12

Title: Quantum-enhanced AI robotics for sustainable agriculture: Pioneering autonomous systems in precision farming
Authors: P Khobragade, PK Dhankar, A Titarmare, M Dhone, S Thakur, P Saraf
Year: 2024
Citation: 10

Title: Advancing Oncology Outcomes: Deploying Advanced Machine Learning Models for Early Detection and Optimized Treatment
Authors: P Khobragade, PK Dhankar, M Motghare, A Golghate, N Rakesh
Year: 2024
Citation: 10

Title: (2+ 1) dimensional cosmological models in f (R, T) gravity with (R, T)
Authors: S Islam, P Kumar, GS Khadekar, TK Das
Year: 2019
Citation: 10

Ulugbek Kurbanov | Theoretical Advances | Research Excellence Award

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Dr. Ulugbek Kurbanov | Theoretical Advances | Research Excellence Award

Head of laboratory | Institute of Nuclear Physics of Uzbekistan Academy of Sciences | Uzbekistan

Dr. Ulugbek Kurbanov is a researcher at the Institute of Nuclear Physics, Uzbekistan Academy of Sciences, focusing on condensed matter physics, particularly high-temperature superconductivity and charge transport in cuprates. His research interests include superconductor–insulator transitions and impurity effects. He demonstrates expertise in experimental and theoretical analysis of low-temperature phenomena. He has authored 22 documents with 54 citations and an h-index of 4 (Scopus). His contributions enhance understanding of superconducting materials, supporting future advancements in electronic and quantum technologies.

 

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