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.

Prof. O’Dae Kwon | Angular Spectroscopy | Most Cited Researcher Award

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Prof. O’Dae Kwon | Angular Spectroscopy | Most Cited Researcher Award

Pohang University of Science and Technology  | South Korea

Dr. O’Dae Kwon is a distinguished researcher in photonics and nanotechnology, recognized for pioneering studies on Photonic Quantum Ring (PQR) and 3D Whispering Gallery/Cave Mode Lasers since 1997. His research contributions exceed 30 international publications and over 100 overseas conference presentations, advancing the understanding of photonic quantum structures and their bio-photonic applications. He has authored and edited several significant book chapters, including Trends in Nano- and Micro-Cavities (Bentham Science) and Advances in Optical and Photonic Devices (INTECH). His inventions have led to multiple U.S. and Korean patents, including the U.S. Patent No. 5,561,683 on Circular Grating Surface Emitting Laser Diodes. Dr. Kwon’s excellence has been recognized with prestigious awards such as the COOC Best Paper Award , 13th Scientist of the Year, Korea Patent Competition Gold Medal, Korean Science Foundation Best Research Prize  and the IEEE NMDC Best Oral Paper Prize. He continues to contribute to cutting-edge developments in bio-photonics, quantum optical devices, and angular spectroscopy, with invited talks at leading international conferences including IEEE Photonics  and AAAFM-UCLA .

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Featured Publications

Kwon, O. D., & Park, B. (2024). Empowering non-invasive IR diagnoses with the unique angle-resolved light cones from 3D photonic quantum ring laser. Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR).

Hristu, R., Stanciu, S. G., Wu, S. J., Kao, F.-J., Kwon, O. D., & Stanciu, G. A. (2011). Optical beam induced current microscopy of photonic quantum ring lasers. Applied Physics B: Lasers and Optics, 105(3), 555–561.

Stanciu, G. A., Hristu, R., Stanciu, S. G., Kwon, O. D., & Kim, D. K. (2010). Optical induced current technique used to investigate the photonic quantum ring laser. In 12th International Conference on Transparent Optical Networks (ICTON).

Kim, D. K., Kim, Y. C., Sheen, M. H., & Kwon, O. (2009). Spatiotemporal dynamics in Rayleigh band of photonic quantum ring laser. Optical and Quantum Electronics, 41(11–13).

Assoc. Prof. Dr. Guangrui Jia | Strong-Field Physics | Best Researcher Award

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Assoc. Prof. Dr. Guangrui Jia | Strong-Field Physics | Best Researcher Award

Henan Normal University | China

Guangrui Jia is an Associate Professor at the Department of Materials Science and Engineering, Henan Normal University, China, with a research focus on strong-field physics, laser-matter interaction, and numerical methods. He earned his postdoctoral training at the Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, where he conducted advanced studies under Prof. Xuebin Bian. Dr. Jia has extensive experience in high-order harmonic generation (HHG) and terahertz (THz) generation from atoms, molecules, and solids, exploring phenomena such as spatially inhomogeneous fields, molecular alignment effects, and 2D periodic potentials. His work integrates theoretical modeling, numerical simulations, and experimental insights to understand and optimize ultrafast light-matter interactions. Representative publications include studies on photoinduced charge transfer in heterostructures, enhancement of THz radiation via metallic nanostructures, and nonadiabatic effects in HHG from solids, published in high-impact journals such as Optics Express, Applied Physics Letters, Chinese Physics Letters, and Journal of Chemical Physics.

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Featured Publications

Qin, C., Hu, Y., Zheng, S., Zhou, Z., Song, J., Jiao, Z., Ma, S., Jia, G., & Jiang, Y. (2025). Carrier transfer in 2D perovskite/WSe₂ monolayer heterostructure. Journal of Luminescence.

Qin, C., Zhao, M., Fang, C., Li, J., Cui, M., Wang, H., Zheng, S., Song, P., Song, J., Jiao, Z., Ma, S., Zhang, J., Jia, G., Jiang, Y., & Zhou, Z. (2025). Electron-mediated triplet energy transfer in CsPbBr₃ nanoplatelet–Rhodamine interface. Current Applied Physics.

Jiao, Z., Shang, Z., Cui, M., Zheng, S., Song, P., Wang, H., Zhang, J., Song, J., Ma, S., Jia, G., Zhou, Z., & Qin, C. (2025). Ultrafast energy transfer between all-inorganic tin-based perovskite nanocrystals and RhB chromophore. Journal of Luminescence.

Jia, G.-R., Kang, H.-X., & Liu, Z.-H. (2025). Optimal control of redshift of high-order harmonic in two-color laser fields. Optics Communications.

Zhang, S., Yue, Z., Qin, C., Song, P., & Jiao, Z. (2024). Enhancing THz radiation by optimizing the dimensioning of metallic nanostructures. Optics Communications.

Mr. Guizheng Guan | Photon Reservoir Computing | Best Researcher Award

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Mr. Guizheng Guan | Photon Reservoir Computing | Best Researcher Award

Xiangtan University | China

Mr. Guizheng Guan is a highly accomplished researcher and engineer specializing in optical computing and photonic reservoir computing for brain-like models. He has been recognized with multiple awards, including the National Scholarship for Graduate Students, First-Class Scholarship at Shandong University of Technology, and Outstanding Graduate Student honors at Xiangtan University. His personal research focuses on leveraging delayed feedback semiconductor lasers, VCSELs, and laser arrays to develop high-speed, low-power, and compact photonic computing systems capable of chaotic time series prediction, multivariable task processing, and real-time mixed gas detection. He has published extensively in high-impact journals such as Neurocomputing, Neural Networks, and SPIE, demonstrating innovations in hybrid serial-parallel architectures, adaptive load balancing, and deep coupling of photonic systems. Additionally, he contributed to his supervisor’s research on high-precision micro-nano step height measurement using FMCW self-mixing interferometry. Mr. Guan has a strong foundation in mathematics and programming, proven through top awards in the National College Mathematics Competition and multiple ACM and Blue Bridge Cup contests. He also possesses practical experience in embedded systems, wireless network testing, and algorithm development for RF chip calibration. Throughout his academic and professional journey, he has demonstrated exceptional technical innovation, teamwork, and leadership skills, consistently achieving recognition at provincial, national, and international levels.

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Featured Publications

Liu, B., Guan, G., Ruan, Y., Yu, Y., Xi, J., Ji, H., & Tang, P. (2025). Micro–nano step height measurement using FMCW self-mixing interferometry. IEEE Transactions on Instrumentation and Measurement.

Guan, G., & Liu, B. (2025). Hybrid serial-parallel photonic reservoir computing based on single semiconductor laser with delayed optical feedback for multivariable task processing. Neurocomputing.

Dr. Xu Liu | Fluid Cross-Sectional Velocity Field | Best Researcher Award

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Dr. Xu Liu | Fluid Cross-Sectional Velocity Field | Best Researcher Award

Research Institute of Highway Ministry of Transport | China

Dr. Xu Liu is an Assistant Researcher at the Research Institute of Highway Ministry of Transport with extensive experience in multiphase flow detection, computational fluid dynamics (CFD), structural mechanics simulation, and precision sensor development. He has actively contributed to multiple National Natural Science Foundation of China (NSFC) projects and provincial innovation initiatives, focusing on gas–liquid and liquid–solid two-phase flow measurement, intelligent sensing systems, and metrological assurance in smart city applications. Xu Liu has published several high-impact SCI and Scopus-indexed papers on flow sensors, velocity field reconstruction, and turbulence modeling, integrating intelligent algorithms, CFD simulations, and sensor optimization to address key challenges in industrial flow monitoring. His work emphasizes practical engineering applications, combining theoretical modeling, experimental techniques, and data-driven approaches to enhance flow measurement accuracy and reliability.

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Featured Publications

Liu, X., Song, Y., Zhao, D., Lan, K., Zhai, K., Wang, M., & Fang, L. (2025). Study on velocity profile of gas–liquid two-phase stratified flow in pipelines based on transfer component analysis–back propagation neural network. Physics of Fluids.