Mr. Ashuvendra Singh | Structural Damage Detection | Best Researcher Award

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Mr. Ashuvendra Singh | Structural Damage Detection | Best Researcher Award

National Institute of Technology | India

Mr. Ashuvendra Singh is a dedicated academic and research professional currently serving as Assistant Professor and Head of the Department of Civil Engineering at Dev Bhoomi Uttarakhand University, Dehradun. He also leads the Internal Quality Assurance Cell (IQAC) and manages the Dev Bhoomi Incubation & Innovation Foundation, where he actively promotes innovation, research, and entrepreneurship through startup mentoring, hackathons, and industry collaborations. His research focuses on structural health monitoring, vibration-based damage detection, and the application of machine learning techniques such as GNN, SVM, and DANN for predictive modeling and data analysis. He has published numerous research papers in reputed national and international journals and has collaborated with external research institutions on advanced structural studies. In addition to his academic and research contributions, he plays a key role in institutional quality enhancement, faculty development, and policy implementation, while fostering a culture of innovation and excellence in higher education.

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Featured Publications

AK Bhatt, H., Raj, H., Sharma, V. B., Biswas, S., Singh, A., Silori, R., & Pandey, M. (2025). Advancements in pothole detection techniques: A comprehensive review and comparative analysis. Discover Artificial Intelligence, 5(1), 1–27.

Singh, A., & Kaloni, S. (2025). Leveraging vibration sensor data and machine learning for effective structural health monitoring of the KW51 bridge. Innovative Infrastructure Solutions, 10(12), 1–18.

Christy, H. J., Pati, P., Malathi, H., Singh, A., Kalele, G., & Piakaray, D. (2025). Application of Island Biogeography Theory in designing urban biodiversity reserves. Natural and Engineering Sciences, 10(2), 469–481.

Dolma, N., Tiyasha, T., & Singh, A. (2025). A case study on land subsidence occurrence in Joshimath, Uttarakhand. Discover Geoscience, 3(1), 1–20.

Singh, A., Kumar, S., & Ranger, A. (2024). Enhancing manufacturing strength through fly ash-based processes using genetic-chimp optimized adaptable gradient boosting. Proceedings on Engineering, 6(1), 397–406.

Prof. Michael Sadovskii | Theory of Superconductivity | Best Researcher Award

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Prof. Michael Sadovskii | Theory of Superconductivity | Best Researcher Award

Institute for Electro physics, RAS, Ural Branch | Russia

Michael V. Sadovskii is a distinguished theoretical physicist known for his extensive research in condensed matter theory. He has served as head and chief researcher at leading Russian institutes, including the Institute for Electrophysics and the Institute for Metal Physics of the Russian Academy of Sciences. His work has significantly advanced the understanding of disordered systems, pseudogap phenomena, and superconductivity, including high-temperature and disordered superconductors. Sadovskii developed the field theory and self-consistent theory of Anderson localization, proposed exactly solvable models of the pseudogap state, and contributed to extending the dynamical mean field theory for strongly correlated electron systems. He has also made notable theoretical contributions to the study of iron-based superconductors and electron–phonon mechanisms of superconductivity. Recognized for his scientific excellence, he has received several prestigious awards and held prominent roles in academic and editorial boards within the Russian Academy of Sciences.

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Featured Publications

Sadovskii, M. V. (2024). Upper limit for the superconducting transition temperature in Eliashberg–McMillan theory. JETP Letters, 120(3), 205–207.

Kuchinskii, E. Z., Kuleeva, N. A., & Sadovskii, M. V. (2023). Thermoelectric power and Hall effect in correlated metals and doped Mott–Hubbard insulators: DMFT approximation. Journal of Experimental and Theoretical Physics, 137(6), 927–939.

Kuchinskii, E. Z., Kuleeva, N. A., Sadovskii, M. V., & Khomskii, D. I. (2023). Hall effect in doped Mott–Hubbard insulator. Journal of Experimental and Theoretical Physics, 136(3), 368–377.

Sadovskii, M. V. (2022). Limits of Eliashberg theory and bounds for superconducting transition temperature. Physics-Uspekhi, 65(7), 724–739.

Kuchinskii, E. Z., Kuleeva, N. A., Khomskii, D. I., & Sadovskii, M. V. (2022). Hall effect in a doped Mott insulator: DMFT approximation. JETP Letters, 115(7), 402–405.

Dr. Ramiro Quiroga | High Energy Physics | Best Researcher Award

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Dr. Ramiro Quiroga | High Energy Physics | Best Researcher Award

Hospital Universitario y Politécnico La Fe | Spain

Dr. Ramiro Quiroga is a highly experienced medical professional specializing in Gynecology, Obstetrics, and Clinical Analysis, with a PhD in Medicine from the University of Valencia. Accredited in Human Genetics by the Spanish Association of Human Genetics, his main expertise lies in prenatal diagnosis and the application of genetics in human reproduction. He serves as a consultant for the Orphanet Spain Network for Rare Diseases and as a member of expert committees for FEDER and the National Commission on Assisted Human Reproduction. In addition to his clinical practice at Hospital Universitario y Politécnico La Fe, he contributes to teaching and research at the University of Valencia, with numerous publications, book chapters, and conference presentations. Fluent in Spanish and English, Dr. Ramiro Quiroga combines his medical, academic, and research experience to advance the fields of human genetics and prenatal medicine.

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Featured Publications

S. Menao Guillén, L. Pedrola, C. Orellana, M. Roselló, M. Arruebo, C. Lahuerta Pueyo, M. Sobreviela Laserrada, B. Marcos, J. Pascual Mancho, J. V. Cervera, et al. (2025). Clinical utility of opportunistic genome-wide cfDNA prenatal screening in intermediate-risk pregnancies. Genes.

Vendrell, X., Abulí, A., Serra, C., Guillén, J. J., Rueda, J., García-Planells, J., Santos-Simarro, F., Quiroga, R., Abellán, F., Oancea-Ionescu, R., et al. (2025). Population-based genetic carrier screening: A consensus statement from the Spanish societies AEGH, AEDP, ASEBIR, SEAGEN, SEF, and SEGCD. European Journal of Human Genetics.

Pedrola Vidal, L., Roselló Piera, M., Martín-Grau, C., Rubio Moll, J. S., Gómez Portero, R., Marcos Puig, B., Cervera Zamora, J. V., Quiroga, R., & Orellana Alonso, C. (2024). Prenatal genome-wide cell-free DNA screening: Three years of clinical experience in a hospital prenatal diagnostic unit in Spain. Genes.

Martín-Grau, C., Orellana Alonso, C., Roselló Piera, M., Pedrola Vidal, L., Llorens-Salvador, R., Quiroga, R., Marín Reina, P., Rubio Moll, J. S., Gómez Portero, R., & Martínez-Castellano, F. (2023). Expanding the phenotype of PIGP deficiency to multiple congenital anomalies-hypotonia-seizures syndrome. Clinical Genetics.

Dr. Digambar Sapkal | Supercapacitor | Best Researcher Award

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Dr. Digambar Sapkal | Supercapacitor | Best Researcher Award

SICES Degree College | India

Dr. Digambar Sapkal is an Assistant Professor and Head of the Department of Physics at S.I.C.E.S. Degree College, Ambarnath (W), and a Member of the Board of Studies (BOS) in Physics at the University of Mumbai. He has extensive teaching experience at the undergraduate and postgraduate levels, having served in institutions such as B.K. Birla College and K. M. Agrawal College, Kalyan. As a recognized Ph.D. guide under the University of Mumbai, he is guiding several research scholars and has supervised multiple M.Sc. projects. Dr. Sapkal has published numerous research papers in national and international journals and has actively participated in various seminars, workshops, and conferences across different academic levels. He has served on several key university and college committees, including BOS, CDC, IQAC, Research Cell, DLLE, NSS, and Grievance Redressal Cell, and has also chaired the University Examination Vigilance Squad. His research interests include high energy physics and supercapacitor studies.

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Featured Publications

Kushwaha, S. D., Magray, T., Bhatia, P. G., Sartale, S., Sapkal, D. M., & Sarawade, P. (2025). Scalable green synthesis of Co₂P₂O₇ nanosheets for high-energy-density asymmetric supercapacitors with exceptional cyclic stability. Journal of Alloys and Compounds.

Prof. Mohammad Hossein Sahafi | Materials Science | Distinguished Scientist Award

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Prof. Mohammad Hossein Sahafi | Materials Science | Distinguished Scientist Award

Advanced Computing Center | Iran

Dr. Mohammad Hossein Sahafi is an accomplished researcher in Computational Materials Science, specializing in first-principles and ab initio studies focused on the electronic, structural, elastic, mechanical, thermoelectric, and thermophysical properties of materials. His research interests encompass Density Functional Theory (DFT), Density Functional Perturbation Theory (DFPT), advanced ceramics, materials chemistry, condensed-matter physics, low-dimensional systems, 2D materials, and hydrogen/energy storage. He possesses strong expertise in computational quantum codes such as QUANTUM ESPRESSO, Materials Studio, DMol³, CASTEP, DFTB+, Gibbs2, BoltzTrap2, Phonopy, Phono3py, Thermo_Pw, and visualization tools like Vesta, Avogadro, and Crystal Maker. Dr. Sahafi has actively participated in professional workshops on advanced material simulations and scientific writing. His exceptional academic and research performance has been recognized through multiple best paper awards, distinguished research honors, and special recognitions in various national and international scientific conferences and festivals.

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Featured Publications

Bashir, A. I., Siddique, M., Sahafi, M. H., & Rafiq, Q. (2025). First-principles-computational quantum insights into the interplay between magnetism and superconductivity in heavy fermions PrGaxAs1−x. Journal of Magnetism and Magnetic Materials, 173574.

Bashir, A. I., Gillani, S. M., Azam, S., Sahafi, M. H., & Rahman, A. U. (2025). Quantum computational insights into electronic and optical properties of LnOIs for fundamental and technological applications. Optics & Laser Technology, 181, 111940.

Bashir, A. I., Sahafi, M. H., & Saeed, S. (2025). First-principles quantum insights into phonon dynamics and thermophysical potential of MgH₂ and MgH₂: Mo for enhanced thermoelectricity and hydrogen energy applications. Renewable Energy, 247, 123008.

Bashir, A. I., Sahafi, M. H., Irfan, M., Azam, S., & Muzaffar, E. (2025). Quantum computational insights into phonon dynamics, thermoelectric performance and interfacial thermal management of 2D Cu₃Se₂ selenides. Surfaces and Interfaces, 106892.

Cholaki, E., Arghavani Nia, B., & Sahafi, M. H. (2024). Investigation of thermoelectric, dynamical, electron and optical properties of C₃N monolayer using first principles calculations. Iranian Journal of Applied Physics, 14(1), 7–24.

Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

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Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

Dr. Bhimrao Ambedkar Government Medical College | India

Dr. Adarsh Kumar Shukla is a motivated and results-driven professional with expertise in Environmental Toxicology, Clinical Bioinformatics, NGS Data Analysis, Pathway Analysis, Computer-Aided Drug Design, Structural Biology, Metabolomics, Computational Biology, and Computational Chemistry. Currently serving as Scientist-B at the Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, he has prior experience as a Scientist and Research Associate in Paediatric Cardiac Research at Sri Sathya Sai Sanjeevani Research Foundation, as well as academic and project coordination roles in biotechnology and medicinal plant research. He has coordinated national-level academic events and completed FDPs focused on healthcare innovation. Dr. Shukla has contributed significantly to Health-, Plant-, and Food-Informatics research, presented papers at several conferences, and holds a granted Indian patent for the development of crab-apple-based jelly sheets. His research interests encompass structural bioinformatics, human genomics, and nutritional biotechnology, with strong proficiency in in-silico tools, laboratory instrumentation, and data analysis. Skilled in programming languages such as R, Biopython, and Bioperl, he combines computational and experimental approaches to address complex biomedical challenges.sics.

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Featured Publications

Shukla, A. K., & Kukshal, P. (2025). Computational simulations aided prioritization of genomic targets for congenital heart disease (CHD) against developmental toxicity. Reproductive Toxicology, 108, 108940.

Shukla, A. K., & Kumar, A. (2025). A chemoinformatics study to prioritization of anticancer orally active lead compounds of pearl millet against adhesion G protein-coupled receptor. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 334, 125960.

Jha, R. K., Shukla, A. K., Kumari, A., & Kumar, A. (2025). Virtual screening of potential orally active anti-bacterial compounds of finger millet. Vegetos, 38(3), 1237–1248.

Jain, S., Shukla, A. K., Deepika, Panwar, S., Kumari, A., Yadav, A. K., & Kumar, A. (2024). Revolutionizing disease treatment through bioengineered probiotics and glucagon‐like peptide 1 (GLP‐1) based strategies: A path towards effective cures. Food Bioengineering, 2024, 1.

Panwar, S., Pal, S., Shukla, A. K., Kumar, A., & Sharma, P. K. (2024). Identification of micronutrient deficiency related miRNA and their targets in Triticum aestivum using bioinformatics approach. Ecological Genetics and Genomics, 31, 100236.

Dr. Chiranjeeb Singha | Gravitational Physics | Best Researcher Award

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Dr. Chiranjeeb Singha | Gravitational Physics | Best Researcher Award

Inter-University Centre for Astronomy and Astrophysics | India

Dr. Chiranjeeb Singha is a researcher specializing in theoretical and observational studies of classical, semi-classical, and quantum aspects of gravity. He has held academic and research positions at reputed institutes such as the Inter-University Centre for Astronomy and Astrophysics (IUCAA), Saha Institute of Nuclear Physics (SINP), and the Chennai Mathematical Institute (CMI). His teaching experience includes courses on Mathematical Methods of Physics and Basic Statistical Mechanics. He is proficient in programming and computational tools such as LaTeX, Mathematica, Matlab, Fortran, C, and Monte Python, and is fluent in Bengali, English, and Hindi. He actively contributed to the scientific community as a referee for journals like General Relativity and Gravitation and Nuclear Physics B, and serves on the editorial board of the American Journal of Modern Physics. He has delivered numerous invited talks and seminars at national and international institutes and conferences, focusing on topics such as black hole thermodynamics, Hawking radiation, and the strong cosmic censorship conjecture. His research output includes over 25 published papers and several works under review, reflecting his strong engagement in high-energy and gravitational physics.

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Featured Publications

Fairoos, C., & Singha, C. (2025). From nonextremal to extremal: Entropy of Reissner–Nordström and Kerr black holes revisited. General Relativity and Gravitation, 57(10), 136.

Chakrabarti, S., & Singha, C. (2025). Traversable wormholes with a spontaneous symmetry breaking scalar field. Fortschritte der Physik, 73(7), e70013.

Mahapatra, P., Singha, C., Hazarika, A., & Das, P. K. (2025). Implications of fermionic dark matter interactions on anisotropic neutron stars. The Astrophysical Journal, 985(1), 74.

Ghosh, R., & Singha, C. (2025). Can rotating black holes have short hairs? Physical Review D, 111(4), 044008.

Bhatt, R. P., & Singha, C. (2024). Scalar tidal response of a rotating BTZ black hole. Journal of High Energy Physics, 2024(11), 1–19.

Mr. Danyang Mei | Data Analysis Techniques | Best Researcher Award

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Mr. Danyang Mei | Data Analysis Techniques | Best Researcher Award

Beihua Institute of Aerospace Engineering  | China

Mr. Mei Danyang is an accomplished researcher and engineer specializing in energy equipment design, drilling technology, and deep learning applications in mechanical systems. He has led and participated in several innovation and optimization projects related to hydraulic motors, drilling tools, and equipment industrialization. His research focuses on advanced modeling and prediction techniques, particularly using deep learning for energy-efficient drilling torque prediction. Mr. Danyang has received multiple national-level awards, including top prizes in the China Postgraduate Energy Equipment Innovation Design Competition, along with several academic scholarships and honors for excellence and innovation. Professionally, he has contributed to the design and development of large-diameter raise boring machines, downhole tools, and machine tool electrical systems, demonstrating strong expertise in structural design, vibration analysis, and system integration.

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Featured Publications

Cao, W., Mei, D., Guo, Y., & Ghorbani, H. (2025). Deep learning approach to prediction of drill-bit torque in directional drilling sliding mode: Energy saving. Measurement: Journal of the International Measurement Confederation.

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

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Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Southwest Petroleum University  | China

Professor Shi Xiangchao, Assistant Dean at the School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, specializes in drilling acceleration, intelligent drilling systems, and rock mechanics. His pioneering work integrates finite element analysis and rock mechanics to enhance the coupling performance of PDC bits and positive displacement motors (PDMs), improving drilling efficiency and stability in complex formations. He has contributed significantly to deep and ultra-deep shale gas drilling technologies through collaborations with CNPC, Sinopec, and international universities. His research establishes strong theoretical and computational foundations for intelligent, efficient, and safe petroleum drilling operations.

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Featured Publications

Liu, J., Xue, F., Dai, J., Yang, J., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China. Journal of Applied Geophysics, 105850.

Dai, J., Liu, J., Yang, J., Xue, F., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds. Journal of Rock Mechanics and Geotechnical Engineering.

Wang, Z., Shi, X., Jiao, Y., Chen, S., Wang, R., & Lv, Z. (2025). Integrated selection and design method for PDC bits and positive displacement motor. Petroleum.

Fan, C., Nie, S., Li, H., Pan, Q., Shi, X., Qin, S., Zhang, M., & Yang, Z. (2024). Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 67.

Wang, Z., Shi, X., Chen, S., Jiao, Y., Wang, R., & Lv, Z. (2024). Enhancement on PDC bit based on Archimedean spiral control method. Petroleum Science Bulletin.

Dr. Zhenhong Wang | Fiber Lasers and Nonlinear Dynamics | Best Researcher Award

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Dr. Zhenhong Wang | Fiber Lasers | Best Researcher Award

Shenzhen University | China

Dr. Wang Zhenhong, Assistant Professor at the College of Electronic and Information Engineering, Shenzhen University, focuses on ultrafast fiber lasers and nonlinear soliton dynamics. His research involves exploring ultrafast laser mechanisms, soliton dynamics, and the nonlinear optical properties of two-dimensional nanomaterials for laser applications. He has published several papers in reputed international journals such as Laser & Photonics Reviews, Chaos, Solitons and Fractals, Optics Express, and Optics and Laser Technology. He has led and completed major research projects, including a National Natural Science Foundation of China Youth Project, a Guangdong Province General Program, and a Shenzhen University Stable Support Project. His experimental expertise lies in fiber lasers and nonlinear dynamics.

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Featured Publications

Wang, Z., Zhu, J., Ji, Y., Liu, J., & Song, Y. (2025). Versatile pulses and dynamic evolution in a 1.7-μm ultrafast Tm-doped fiber laser. Optics Communications.

Tan, W., Wang, Z., Ji, J., & Song, Y. (2025). High-efficiency all-optical wavelength conversion via polarization-insensitive four-wave mixing for 10 Gbps digital signals. Optics and Laser Technology.

Lin, Y., Liu, Y., Song, Y., Deng, Z., Wang, Z., Liu, J., Zhang, C., & Tang, P. (2025). Pulsating pure-quartic solitons with spectral asymmetry in an ultrafast fiber laser. Chaos, Solitons & Fractals.

Song, Y., Liang, W., Wang, Z., Ji, Y., Guo, J., & Tang, D. (2025). Time-domain dynamics of dispersive waves and Kelly sideband modulation in an anomalous dispersion dissipative soliton fiber. Chaos, Solitons & Fractals.

Ma, K., Deng, Z., Ma, R., Song, Y., Chen, S., Wang, Z., & Liu, J. (2025). Revealing switchable pulse dynamics in an all-fiber Mamyshev oscillator. Applied Optics.