Dr. Mubbashar Nazeer | Editorial Board Member

Dr. Mubbashar Nazeer | Editorial Board Member

Government College University Faisalabad | Pakistan

Dr. Mubbashar Nazeer is a prominent researcher in applied mathematics, specializing in fluid mechanics, bio-fluids, nanofluid dynamics, heat transfer, cavity flows, and finite element analysis. With an h-index of 23, over 90+ documents, and more than 1,800 citations, his research has made significant contributions to nonlinear rheology, multiphase flow modeling, magnetohydrodynamics, and thermal transport in complex fluids. His academic journey includes advanced training in applied mathematics and computational fluid dynamics, followed by extensive experience in numerical modeling, perturbation methods, and simulation-based analysis of non-Newtonian fluid flows. Dr. Nazeer’s research consistently addresses real-world engineering and physiological flow problems, emphasizing novel rheological models such as Eyring–Powell, Casson, Rabinowitsch, Ellis, Jeffrey, and Maxwell fluids. He has collaborated widely across international research groups and published influential work in high-impact journals such as International Communications in Heat and Mass Transfer, Case Studies in Thermal Engineering, Surfaces and Interfaces, and Numerical Methods for Partial Differential Equations. His contributions have earned recognition within the fluid mechanics community, including acknowledgments for outstanding research productivity and high-impact publications. Overall, Dr. Nazeer remains committed to advancing computational modeling and thermal–fluid sciences through innovative problem-solving and interdisciplinary collaboration.

Profile : Google Scholar

Featured Publications

Nayak, M. K., Shaw, S., Khan, M. I., Pandey, V. S., & Nazeer, M. (2020). Flow and thermal analysis on Darcy–Forchheimer flow of copper–water nanofluid due to a rotating disk: A static and dynamic approach. Journal of Materials Research and Technology, 9(4), 7387–7408.

Chu, Y. M., Nazeer, M., Khan, M. I., Hussain, F., Rafi, H., Qayyum, S., & Abdelmalek, Z. (2021). Combined impacts of heat source/sink, radiative heat flux, temperature-dependent thermal conductivity on forced convective Rabinowitsch fluid. International Communications in Heat and Mass Transfer, 120, 105011.

Nazeer, M., Khan, M. I., Rafiq, M. U., & Khan, N. B. (2020). Numerical and scale analysis of Eyring–Powell nanofluid towards a magnetized stretched Riga surface with entropy generation and internal resistance. International Communications in Heat and Mass Transfer, 119, 104968.

Nazir, M. W., Javed, T., Ali, N., & Nazeer, M. (2021). Effects of radiative heat flux and heat generation on magnetohydrodynamics natural convection flow of nanofluid inside a porous triangular cavity. Numerical Methods for Partial Differential Equations.

Prof. Dr. Galina Makeeva | Best Researcher Award

Prof. Dr. Galina Makeeva | Best Researcher Award

Penza State University | Russia

Dr. Galina Makeeva is a highly accomplished physicist and researcher at the University of Penza, Russian Federation, specializing in terahertz photonics, graphene plasmonics, and magneto-optical materials. With an impressive research portfolio of 115 scientific publications, her studies have garnered 236 citations and an h-index of 8, demonstrating her sustained impact in the field. Dr. Makeeva’s research focuses on the theoretical modeling and numerical simulation of electromagnetic wave interactions with advanced nanostructures such as graphene nanoribbons, metasurfaces, and nonlinear semiconductor systems. Her pioneering work on magnetically tunable and electrically controllable metasurfaces has opened new pathways for developing next-generation terahertz and mid-infrared optoelectronic devices. She has published extensively in top-tier journals including Optics and Spectroscopy, Technical Physics, and the Journal of Experimental and Theoretical Physics. Through her contributions, Dr. Makeeva has advanced the understanding of graphene-based photonic platforms, bridging the gap between classical electromagnetics and emerging nanophotonic technologies. Her innovative and interdisciplinary research continues to shape the evolution of high-frequency devices and photonic materials. Recognized for her academic excellence and scientific rigor, Dr. Makeeva remains at the forefront of developing functional materials for next-generation communication and sensing technologies.

Profile : Scopus

Featured Publications

Makeeva, G. S. (2025). Magnetoplasmonic effects induced by diffraction of terahertz waves on magnetically biased graphene metasurfaces. Journal of Experimental and Theoretical Physics.

Makeeva, G. S. (2025). Tunable polarization magnetooptical effects at scattering of terahertz radiation from graphene nanoribbon gratings in a magnetic field. Journal of Experimental and Theoretical Physics.

Makeeva, G. S. (2025). Numerical simulation of scattering patterns of terahertz waves on graphene nanoribbon arrays in a magnetic field. Technical Physics.

Makeeva, G. S. (2025). Method of nonlinear autonomous blocks with Floquet channels for simulation of nonlinear microwave devices with distributed interaction. Technical Physics.

Makeeva, G. S. (2025). Numerical investigation of the diffraction field of terahertz waves on graphene nanoribbons upon applying a magnetic field. Technical Physics.

Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Best Researcher Award

Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar Rudrabhatla is an Assistant Professor at Anurag University, Hyderabad, specializing in fluid dynamics and artificial neural networks. He earned his Ph.D. in Applied Mathematics from the National Institute of Technology (NIT), Warangal in 2023 under the supervision of Prof. D. Srinivasacharya, focusing on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His research integrates deep learning, computational fluid dynamics, and heat and mass transfer modeling, contributing to the understanding of complex non-Newtonian flows. Dr. Rudrabhatla has authored 6 research articles, accumulated 49 citations from 43 documents, and achieved an h-index of 4, as indexed by Scopus. His recent works include publications in European Journal of Mechanics B/Fluids, Physics of Fluids, Mathematical Models and Computer Simulations, and Journal of Thermal Analysis and Calorimetry. He has participated in numerous faculty development programs, workshops, and GIAN courses focused on machine learning and computational modeling. His academic journey is complemented by strong technical skills in Python, MATLAB, and C++, and a teaching background spanning over a decade. Dr. Rudrabhatla’s work continues to advance the intersection of mathematics, fluid mechanics, and artificial intelligence, contributing significantly to modern computational sciences.

Profiles : Orcid | Google Scholar | Scopus

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147, 14891–14903. https://doi.org/10.1007/s10973-022-11694-w

Srinivasacharya, D., & Shravan Kumar, R. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-01556-w

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S2070048223050101

Nallapu, S., Sneha, G. S., & Kumar, S. R. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401

Prof. Shuo Yang | Innovative Research Award

Prof. Shuo Yang | Innovative Research Award

Shenyang Institute of Engineering | China

Prof. Shuo Yang is a distinguished researcher and Project Manager at the Shenyang Institute of Engineering, where he also serves as Managing Director of the Key Laboratory of Liaoning Province for Clean Combustion Power Generation and Heat-Supply Technology. He holds a Doctor of Engineering degree in Engineering Thermophysics from Northeastern University (2017), following his Master’s and Bachelor’s degrees in Thermal Engineering and Thermal Energy & Power Engineering from Liaoning Technical University. Dr. Yang has published 35 scientific papers, accumulating over 1,662 reads, 150 citations, and an h-index of 9 (as of 2025). His research focuses on microfluidics, thermocapillary and Marangoni convection, mesoscale fluid control, and clean combustion technologies. He integrates numerical simulations and experimental analyses to study complex interfacial and capillary phenomena, advancing understanding in energy and fluid mechanics. A recognized reviewer for leading journals such as Journal of Crystal Growth, Applied Sciences, and Symmetry, Dr. Yang also serves as a communication review expert for the National Natural Science Foundation of China. He has been honored with the prestigious “Ten Thousand Level” Talent Title under the Liaoning Province Hundred, Thousand and Ten Thousand Talent Project. His ongoing work continues to bridge theoretical and applied research in energy and fluid systems innovation.

Profiles : Research Gate | Orcid

Featured Publications

Xiao, Y., Cui, J., Pan, H., Zhu, L., Xu, B., Yang, X., Zhao, H., Yang, S., Zhao, Y., & Wirsum, M. (2025). Investigation of ammonia–coal co-combustion performance and NOx formation mechanisms under varied ammonia injection strategies. Energies, 18(21), 5609. https://doi.org/10.3390/en18215609

 Yang, S., Luo, J., Gao, Y., Wang, S., Zhang, Y., Wang, Y., Ge, P., Li, W., Zheng, Y., & Cui, J. (2024). Experimental study on the effects of washing time, washing temperature, and particle size on the combustion and ash formation characteristics of rice husk. ACS Omega, 9(52), 38820–38833. https://doi.org/10.1021/acsomega.4c08820

 Yang, S., Ge, P., Gao, Y., Luo, J., Wang, T., Liu, Z., Zheng, Y., Li, W., & Cui, J. (2024). Effect of a uniform axial magnetic field on the spatiotemporal evolution of thermocapillary convection in a high Prandtl fluid under microgravity. Symmetry, 16(12), 1645. https://doi.org/10.3390/sym16121645

 Xiao, W., Cui, J., Pan, H., Zhao, H., Yang, S., Xue, Z., Fu, Y., & Xu, Y. (2024). A study on the influence of oxy-hydrogen gas flame on the combustion stability of coal powder and nitrogen oxide emissions. Processes, 12(8), 1777. https://doi.org/10.3390/pr12081777

 Cui, J., Zhao, H., Xu, Y., Yang, S., Pan, H., Xiao, W., Fu, Y., & Xue, Z. (2024). Experimental investigation on oxy-hydrogen gas flame injecting coal powder gasification and combustion. Processes, 12(4), 692. https://doi.org/10.3390/pr12040692

Mr. Artem Savikovskii | Best Researcher Award

Mr. Artem Savikovskii | Best Researcher Award

Peter the Great Saint-Petersburg Polytechnic University | Russia

Artem Victorovich Savikovskii is a Postdoctoral Research Engineer at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation. With an h-index of 2, 10 Scopus-indexed documents, and 23 citations from 15 sources, his growing academic influence reflects a strong foundation in computational and structural mechanics. Dr. Savikovskii earned his bachelor’s and master’s degrees in Applied Mechanics (2012–2018) from Peter the Great St. Petersburg Polytechnic University, where he also completed his Ph.D. studies in Applied Mathematics and Mechanics. His research primarily focuses on finite element modeling, fracture mechanics, computational elasticity, nonlinear analysis, and thermo-mechanical behavior of anisotropic materials. His recent publications, including in the International Journal of Engineering Science, address the mechanics of surface damage and crack interaction in anisotropic materials. He has also contributed to studies on thermal fatigue and stress intensity factors in materials with cubic symmetry. Throughout his career, Dr. Savikovskii has demonstrated exceptional skills in computational mechanics, advancing the understanding of material anisotropy and structural failure analysis. His work continues to contribute to modern applied mechanics and materials science, bridging theoretical modeling and practical engineering solutions.

Profiles : Scopus | Research Gate | Orcid

Featured Publications

Savikovskii, A. V., Semenov, A. S., & Kachanov, M. L. (2024). Influence of material anisotropy on the mechanics of surface damage. International Journal of Engineering Science, 199, 104025. https://doi.org/10.1016/j.ijengsci.2024.104025

Savikovskii, A. V., Gordeev, A. N., Michailov, A. A., Antonova, O. V., & Semenov, A. S. (2023). Numerical aspects of the J-integral estimation for thermomechanical loading. In Proceedings of the International Conference on Structural Integrity (pp. 203–214). Springer. https://doi.org/10.1007/978-3-031-37246-9_12

Savikovskii, A. V., & Semenov, A. S. (2023). Influence of material anisotropy on the interaction between cracks under tension and shear. Journal of Applied Mechanics and Technical Physics, 64(10), 1452–1461.

Savikovskii, A. V. (2020). Crystallographic orientation, delay time, and mechanical constants influence on thermal fatigue strength of single-crystal nickel superalloys. Materials Physics and Mechanics, 44(1), 115–124. https://doi.org/10.18720/MPM.4412020_15

Savikovskii, A. V., Semenov, A. S., & Getsov, L. B. (2019). Coupled thermo-electro-mechanical modeling of thermal fatigue of single-crystal corset samples. Materials Physics and Mechanics, 42(3), 45–54. https://doi.org/10.18720/MPM.4232019_5

Savikovskii, A. V., Semenov, A. S., & Getsov, L. (2018). Analysis of crystallographic orientation influence on thermal fatigue with delay of the single-crystal corset sample by means of thermo-elasto-visco-plastic finite-element modeling. MATEC Web of Conferences, 245, 10006. https://doi.org/10.1051/matecconf/201824510006

Dr. Awani Bhushan | Best Researcher Award

Dr. Awani Bhushan | Best Researcher Award

Velllore Institute of Technology, University (Chennai Campus) | India

Dr. Awani Bhushan is an Assistant Professor (Senior Grade) in the School of Mechanical Engineering at Vellore Institute of Technology, Chennai, with an h-index of 6, 33 documents, and 113 citations. He earned his Ph.D. in Machine Design from the Indian Institute of Technology (BHU), Varanasi, and holds prior degrees in machine and mechanical engineering. His research and teaching experience span nuclear engineering, solid mechanics, fracture mechanics, finite element analysis, and reliability assessment, combining analytical, experimental, and numerical approaches. He develops and validates computational models using ANSYS and COMSOL Multiphysics alongside custom FORTRAN and C++ implementations, and applies statistical Weibull-based methods for strength and size-effect characterization. His publications appear in Journal of Nuclear Materials, Journal of Testing and Evaluation, RSC Advances, and other peer-reviewed outlets. Key contributions include Weibull design criteria for nuclear graphite, fracture parameter correlation for unimodular and bimodular graphite, and studies on composites and functionally graded materials. He has secured research funding, filed patents, led collaborative proposals, and mentors students in interdisciplinary projects aimed at energy, defense, and structural-integrity applications. Overall, his work advances computational mechanics and material reliability with practical engineering impact and ongoing scholarly growth.

Profiles : Google ScholarScopus | Orcid

Featured Publications

Bhushan, A., & Panda, S. K. (2018). Experimental and computational correlation of fracture parameters KIc, JIc, and GIc for unimodular and bimodular graphite components. Journal of Nuclear Materials, 503, 205–225.

Kumar, H., Tengli, P. N., Mishra, V. K., Tripathi, P., Bhushan, A., & Mishra, P. K. (2017). The effect of reduced graphene oxide on the catalytic activity of Cu–Cr–O–TiO₂ to enhance the thermal decomposition rate of ammonium perchlorate: An efficient fuel oxidizer. RSC Advances, 7(58), 36594–36604.

Bhushan, A., Panda, S. K., Khan, D., Ojha, A., Chattopadhyay, K., & Kushwaha, H. S. (2016). Weibull effective volumes, surfaces, and strength scaling for cylindrical flexure specimens having bi-modularity. Journal of Testing and Evaluation, 44(5), 1978–1997.

Ram, S. C., Chattopadhyay, K., & Bhushan, A. (2023). A literature review on Al–Si alloy matrix based in situ Al–Mg₂Si FG-composites: Synthesis, microstructure features, and mechanical characteristics. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Suman, S., Yadav, A. M., Tomar, N., & Bhushan, A. (2020). Combustion characteristics and behaviour of agricultural biomass: A short review. Renewable Energy – Technologies and Applications.

Suman, S., Yadav, A. M., Bhushan, A., Bhaskara Rao, L., & Rajak, D. K. (2022). Substitution of coking coal with biochar for thermal and metallurgical utilisation. International Journal of Sustainable Energy, 41(11), 1778–1794.*

Assoc. Prof. Dr. Shuai Zheng | Best Researcher Award

Assoc. Prof. Dr. Shuai Zheng | Best Researcher Award

Dalian Jiaotong University | China

Dr. Shuai Zheng is an accomplished researcher and Associate Professor at Dalian Jiaotong University, specializing in intelligent transportation infrastructure, geotechnical safety, and computational modeling. He earned his Ph.D. in Civil Engineering and has extensive experience in bridge and tunnel stability, BIM-based digital construction, and AI-driven reliability analysis. His research integrates theoretical modeling with data-driven engineering to improve the safety and resilience of transportation systems. Dr. Zheng has authored 22 peer-reviewed publications with 94 citations and an h-index of 6, demonstrating consistent scholarly impact. His key works include “Research and Application of Reliability Evaluation Model for Water Inrush Risk during Tunnel Construction” (Tunnelling and Underground Space Technology, 2026) and “ZSI-R Method for Evaluating Foundation Pit Stability in Karst Regions” (Geotechnical and Geological Engineering, 2025). He collaborates with over 50 co-authors worldwide, contributing to multidisciplinary studies in digital and sustainable construction. Dr. Zheng has received provincial-level Science and Technology Progress Awards (2020 & 2022) for his innovative contributions to digital infrastructure development. His research advances the understanding of smart, resilient, and sustainable engineering systems, positioning him as a promising leader in next-generation intelligent construction technologies.

Profiles : Orcid | Scopus

Featured Publications

Zhang, Q., Zheng, S., Zhao, J., Liu, X., Du, E., & Yang, Y. (2025). ZSI-R method for evaluating foundation pit stability in karst regions. Geotechnical and Geological Engineering. https://doi.org/10.1007/s10706-025-03358-x

Ma, C., Yang, Y., Wang, X., Zhang, Y., Wang, H., & Zheng, S. (2025). A new DEM calibration method for the adhesion and shear behavior of clay materials based on response surface methodology. Engineering Research Express. https://doi.org/10.1088/2631-8695/ae0411

Jia, B., Yang, Y., Wang, X., Li, L., Zhang, Y., & Zheng, S. (2025). Real-time prediction method of shield tunneling attitude under complex geological conditions. Engineering Research Express. https://doi.org/10.1088/2631-8695/ae0b30

Zhang, H., Dong, S., Li, S., & Zheng, S. (2025). Sensitivity analysis and optimization of urban roundabout road design parameters based on CFD. Eng, 6(7), 156. https://doi.org/10.3390/eng6070156

Jiang, T., Jiang, A., Zheng, S., Xu, M., & Nguyen-Xuan, H. (2021). Prediction of blast-induced ground vibration (BIGV) of metro construction using differential evolution algorithm-optimized Gaussian process (DE-GP). Shock and Vibration, Article 2847180. https://doi.org/10.1155/2021/2847180