Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

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Dr. Jaimon Dennis Quadros | Computational Methods | Best Researcher Award

Lecturer | School of Engineering and Built Environment, University of Greater Manchester | United Kingdom

Dr. Jaimon Dennis Quadros is a distinguished researcher recognized for advanced contributions in Computational Methods applied to mechanical engineering and fluid sciences. His expertise centers on Computational Methods for fluid dynamics, heat transfer, multiphase flows, and intelligent optimization, with strong emphasis on Computational Methods integrated with artificial intelligence, neural networks, and machine learning. Dr. Jaimon Dennis Quadros has produced an extensive body of scholarly work, authoring more than seventy peer reviewed publications that highlight the effectiveness of Computational Methods in predicting complex physical phenomena. His research demonstrates how Computational Methods enhance accuracy, efficiency, and reliability in engineering analysis and design. Through international academic and industry collaborations, he has successfully applied Computational Methods to aerospace, automotive, manufacturing, and thermal systems, supporting innovation and sustainable engineering solutions. His mentorship and leadership have strengthened research capacity and knowledge transfer across institutions. The societal impact of his work lies in advancing safer designs, improved energy efficiency, and data informed decision making through Computational Methods. Scopus profile of 198 Citations, 35 Documents, 8 h index.

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Featured Publications

Dr. Muhammad Iqbal | Computational Methods | Research Excellence Award

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Dr. Muhammad Iqbal | Computational Methods | Research Excellence Award

Associate Professor | Bacha Khan University | Pakistan

Dr. Muhammad Iqbal is a distinguished researcher whose scholarly profile reflects sustained excellence in chemistry with strong integration of Computational Methods in advanced scientific inquiry. His work demonstrates authoritative use of Computational Methods to analyze molecular systems, interpret coordination chemistry behavior, and enhance predictive accuracy, where Computational Methods consistently guide hypothesis development, data interpretation, and validation. Through extensive peer reviewed publications indexed in SCI and Scopus, he has contributed impactful knowledge supported by rigorous Computational Methods that strengthen reproducibility and translational relevance. His research output shows meaningful citation influence and international visibility, while Computational Methods enable collaborative alignment with interdisciplinary researchers and institutional partners. By applying Computational Methods to complex chemical challenges, his contributions advance analytical efficiency, resource optimization, and knowledge driven innovation with tangible societal and scientific benefits. His academic service and research dissemination reflect a commitment to quality, integrity, and global standards, with Computational Methods remaining central to methodology, collaboration, and impact across his scholarly endeavors. Google Scholar profile of 380 Citations, 13 h-index, 13 i10 index.

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Featured Publications

Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

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Prof. Ramsey F. Hamade | Engineering Mechanics | Research Excellence Award

Professor | American University of Beirut | Lebanon

Prof. Ramsey F. Hamade is a globally respected scholar and innovator whose work is firmly rooted in Engineering Mechanics and whose contributions span advanced manufacturing science applied design and applied analysis. His expertise in Engineering Mechanics integrates experimental investigation computational modeling and applied Engineering Mechanics for materials processing machining joining and structural response. Through sustained research leadership Engineering Mechanics has been advanced across friction based processing nondestructive evaluation biomedical applications and sustainable manufacturing with Engineering Mechanics serving as the unifying scientific framework. He has authored more than eighty peer reviewed journal articles book chapters and patents reflecting strong productivity and influence in Engineering Mechanics research. His work demonstrates impactful collaboration with international academic and industrial partners translating Engineering Mechanics knowledge into practical technologies and societal benefit. The outcomes include improved material performance safer structures enhanced medical solutions and sustainable engineering practices all grounded in Engineering Mechanics rigor and relevance. His scholarly influence and visibility are reflected in the professional words Google Scholar profile of 2161 Citations, 26 h-index, 53 i10 index.

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Featured Publications


Evaluating the Learning Process of Mechanical CAD Students

RF Hamade, HA Artail, MY Jaber — Computers & Education, Vol. 49(3), pp. 640–661, 2007
Cited by 127


Relating Grain Size to the Zener–Hollomon Parameter for Twin-Roll-Cast AZ31B Alloy Refined by Friction Stir Processing

AH Ammouri, G Kridli, G Ayoub, RF Hamade — Journal of Materials Processing Technology, Vol. 222, pp. 301–306, 2015
Cited by 106


Design and Testing of a Locally Made Loop-Type Thermosyphonic Heat Sink for Stove-Top Thermoelectric Generators

R Nuwayhid, RF Hamade — Renewable Energy, Vol. 30(7), pp. 1101–1116, 2005
Cited by 98


A Case for Aggressive Drilling of Aluminum

RF Hamade, F Ismail — Journal of Materials Processing Technology, Vol. 166(1), pp. 86–97, 2005
Cited by 92


Extracting Cutting Force Coefficients from Drilling Experiments

RF Hamade, CY Seif, F Ismail — International Journal of Machine Tools and Manufacture, Vol. 46(3–4), pp. 387–396, 2006
Cited by 86

Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

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Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

Professor | Xi'an Jiaotong University | China

Prof. Dr. Jinju Sun is a distinguished scholar in the School of Energy and Power Engineering at Xi’an Jiaotong University, renowned for her pioneering contributions to fluid mechanics, turbomachinery, and multiphase flow systems through advanced Computational Methods. Her educational journey spans cryogenic engineering to a PhD in turbomachinery and engineering mechanics, which laid the foundation for her expertise in Computational Methods applied to turbomachinery optimization, Lattice Boltzmann modeling, and Vortex Method simulations. Throughout her professional career, she has served as a researcher, lecturer, and professor, advancing research through numerous national and international collaborations emphasizing Computational Methods in fluid dynamics and green energy system design. She has received prestigious honors, including the Donald Julius Groen Prize and the Arthur Charles Main Award from the Institution of Mechanical Engineers (UK), in recognition of her outstanding achievements utilizing Computational Methods for energy system modeling and flow optimization. Her research interests include cryogenic liquid turbines, compressor instabilities, and innovative Computational Methods for fluid-structure interaction and multiphase flow behavior. She has authored numerous high-impact publications and holds multiple international patents that demonstrate her excellence in Computational Methods-based innovation. Prof. Dr. Jinju Sun’s research skills encompass CFD modeling, LBM, topology optimization, and Computational Methods-driven analysis for turbomachinery and green energy systems. In conclusion, her dedication to advancing Computational Methods in engineering has positioned her as a global leader driving innovation, sustainability, and scientific excellence in modern energy and power engineering.

Profile: ORCID

Featured Publications

1. Qu, Y., Sun, J., Song, P., & Wang, J. (2025). Enhancing efficiency and economic viability in Rectisol system with cryogenic liquid expander. Asia-Pacific Journal of Chemical Engineering.

2. Ge, Y., Peng, J., Chen, F., Liu, L., Zhang, W., Liu, W., & Sun, J. (2023). Performance analysis of a novel small-scale radial turbine with adjustable nozzle for ocean thermal energy conversion. AIP Advances.

3. Fu, X., & Sun, J. (2023). Three-dimensional color-gradient lattice Boltzmann model for simulating droplet ringlike migration under an omnidirectional thermal gradient. International Journal of Thermal Sciences.

4. Song, P., Sun, J., Wang, S., & Wang, X. (2022). Multipoint design optimization of a radial-outflow turbine for Kalina cycle system considering flexible operating conditions and variable ammonia-water mass fraction. Energies.

5. Song, P., Wang, S., & Sun, J. (2022). Numerical investigation and performance enhancement by means of geometric sensitivity analysis and parametric tuning of a radial-outflow high-pressure oil–gas turbine. Energies.

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

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Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Associate Research Fellow | University of Wollongong | Australia

Dr. Liping Gong is a distinguished researcher in the field of mechanical engineering, demonstrating exceptional expertise in advanced materials, vibration control, and energy harvesting systems. He earned his Doctor of Philosophy in mechanical engineering from the University of Wollongong, Australia, where his work received the Examiners’ Commendation for Outstanding Thesis. His academic foundation in mechanical engineering was strengthened by a Bachelor’s degree in Engineering Mechanics from Chang’an University, China. As a Postdoctoral Research Fellow, he has made significant strides in developing shear-stiffening phononic crystals through stereolithography for vibration and acoustic applications, alongside mentoring students in material characterization and finite element modeling—core skills in mechanical engineering research. His contributions span the design of magnetorheological elastomers, liquid metal-based nanogenerators, and intelligent materials for energy harvesting, reflecting innovation across various mechanical engineering domains. Dr. Gong’s research in mechanical engineering has been published in top-tier journals such as Advanced Materials, Nano Energy, and Smart Materials and Structures. His dedication has been recognized with the Best Oral Presentation Award at international mechanical engineering conferences. His research skills encompass experimental design, data analysis, material fabrication, and computational modeling—crucial aspects of mechanical engineering advancement. With deep involvement in reviewing for international journals, Dr. Gong continues to contribute to global mechanical engineering excellence. His professional journey highlights a commitment to innovation, interdisciplinary collaboration, and scientific impact within mechanical engineering.Google Scholar profile of 301 Citations, 7 h-index, 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Wang, S., Gong, L., Shang, Z., Ding, L., Yin, G., Jiang, W., Gong, X., & Xuan, S. (2018). Novel safeguarding tactile e‐skins for monitoring human motion based on SST/PDMS–AgNW–PET hybrid structures. Advanced Functional Materials, 28(18), 1707538.

2. Zhang, Q., Lu, H., Yun, G., Gong, L., Chen, Z., Jin, S., Du, H., Jiang, Z., & Li, W. (2024). A laminated gravity‐driven liquid metal‐doped hydrogel of unparalleled toughness and conductivity. Advanced Functional Materials, 34(31), 2308113.

3. Wu, H., Gong, N., Yang, J., Gong, L., Li, W., & Sun, S. (2024). Investigation of a semi-active suspension system for high-speed trains based on magnetorheological isolator with negative stiffness characteristics. Mechanical Systems and Signal Processing, 208, 111085.

4. Gong, L., Xuan, T., Wang, S., Du, H., & Li, W. (2023). Liquid metal based triboelectric nanogenerator with excellent electrothermal and safeguarding performance towards intelligent plaster. Nano Energy, 109, 108280.

5. Jin, S., Yang, J., Sun, S., Deng, L., Chen, Z., Gong, L., Du, H., & Li, W. (2023). Magnetorheological elastomer base isolation in civil engineering: a review. Journal of Infrastructure Intelligence and Resilience, 2(2), 100039.

Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

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Mr. Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

Mr. Sathya Arumugam Thirumalai | Indian Institute of Technology Roorkee | India

Mr. Sathya Arumugam Thirumalai is a highly motivated researcher whose work integrates Computational Methods with experimental nanomaterial science, emphasizing sustainability, environmental protection, and advanced detection technologies. His academic journey, from IIT Roorkee to TU Dresden, reflects an enduring commitment to merging experimental nanotechnology with Computational Methods for the synthesis and characterization of perovskite, MXene, and 2D materials. Mr. Sathya’s professional experience spans renowned institutions like IISc Bengaluru, BARC Mumbai, and IIT Roorkee, where he utilized Computational Methods in density functional theory (DFT) simulations, material modeling, and radiation detector design. His research, grounded in Computational Methods, has contributed to multiple journal publications addressing gas sensing, field emission, and radiation detection. He applies Computational Methods to optimize nanomaterial performance, enhance photonic properties, and improve the efficiency of radiation detectors. Recognized with several awards and fellowships, including the National Talent Search Fellowship and the Saxon Student Mobility Grant, he has demonstrated excellence in both theoretical and practical domains. His technical mastery extends to Python, MATLAB, COMSOL, and VASP, emphasizing his strength in applying Computational Methods across interdisciplinary fields. Mr. Sathya’s skill in Computational Methods enables him to bridge theoretical simulations with experimental validation, ensuring scientific precision and innovation. His collaborative engagements with global research groups highlight his leadership and cross-disciplinary adaptability. In conclusion, Mr. Sathya exemplifies how Computational Methods can revolutionize material science, fostering technological advancements that align with sustainability and human welfare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Sathya, A. T., Jethawa, U., Sarkar, S. G., & Chakraborty, B. (2025). Pd-decorated MoSi₂N₄ monolayer: Enhanced nitrobenzene sensing through DFT perspective. Journal of Molecular Liquids, 427, 127310.

2. Sathya, A. T., Kandasamy, M., & Chakraborty, B. (2024). Strain induced nitrobenzene sensing performance of MoSi₂N₄ monolayer: Investigation from density functional theory. Surfaces and Interfaces, 55, 105386.

3. Sanyal, G., Vaidyanathan, A., Sathya, A. T., & Chakraborty, B. (2025). Efficient catechol sensing in newly synthesized 2D material Ti₂B MBene: Insights from density functional theory simulations. Langmuir, 41(33), 22525–22534.

4. Sathya, A. T., Sarkar, S. G., Bakhtsingh, R. I., & Mondal, J. (2024). Suppression of shielding effect of large area field emitter cathode in radio frequency gun environment. Physica Scripta, 99(12), 125301.

Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

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Prof. Viktor Mykhas’kiv | Computational Methods | Best Researcher Award

Leading Scientific Researcher | Institute for Applied Problemss of Mechanics and Mathematics | Ukraine

Prof. Viktor Mykhas’kiv is a distinguished researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics, National Academy of Sciences of Ukraine. His academic achievements include a Doctor of Science in Physics and Mathematics and a professorship in Mechanics of Deformable Solids. His extensive expertise in Computational Methods spans across Computational Mechanics, Materials Science, Structural Mechanics, and Multiscale Mathematical Modeling. Through his pioneering work, he has applied Computational Methods to study wave propagation, metamaterials, and nanomechanics, advancing knowledge in multiple scattering theory. His research leadership in international collaborations under INTAS, STCU, DAAD, DFG, and Fulbright programs highlights his ability to integrate Computational Methods within global scientific frameworks. As a team leader and project manager, he has promoted innovative Computational Methods in the investigation of elastic metamaterials and complex lattice structures. He has published widely, authoring over seventy-six Scopus-indexed papers, two books, and contributing to editorial boards of international journals like Mathematical Methods and Physicomechanical Fields. His commitment to excellence in Computational Methods is reflected in his role as a member of the European Structural Integrity Society. He has also served as a visiting researcher in the USA and Germany, applying Computational Methods to solve advanced mechanical and physical problems. His awards and honors recognize his groundbreaking use of Computational Methods in applied mechanics and theoretical modeling. With remarkable research skills and professional integrity, Prof. Viktor Mykhas’kiv continues to contribute significantly to global scientific progress. Scopus profile of 474 Citations, 76 Documents, 14 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Stankevych, V. Z., & Mykhas’kiv, V. V. (2023). Intensity of dynamic stresses of longitudinal shear in a periodically layered composite with penny-shaped cracks. Journal of Mathematical Sciences, 269(2), 268–280.

2. Mykhas’kiv, V. V., & Stasyuk, B. M. (2021). Effective elastic moduli of short-fiber composite with sliding contact conditions at interfaces. Mechanics of Composite Materials, 57(6), 845–854.

3. Mykhas’kiv, V., & Stankevych, V. (2019). Elastodynamic problem for a layered composite with penny-shaped crack under harmonic torsion. ZAMM – Zeitschrift für Angewandte Mathematik und Mechanik, 99(8), e201800193.

4. Mykhas’kiv, V. V., Zhbadynskyi, I. Y., & Zhang, C. (2019). On propagation of time-harmonic elastic waves through a double-periodic array of penny-shaped cracks. European Journal of Mechanics - A/Solids, 74, 68–77.

5. Zhbadynskyi, I. Y., & Mykhas’kiv, V. V. (2018). Acoustic filtering properties of 3D elastic metamaterials structured by crack-like inclusions. Proceedings of the International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 54–59.

Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

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Dr. Tanya Gupta | Computational Fluid Dynamics | Women Researcher Award

Assistant Professor | GLA University | India

Dr. Tanya Gupta is an accomplished academic in Mathematics with expertise in Computational Fluid Dynamics, where her research has extensively focused on heat and mass transfer, hybrid nanofluids, and numerical simulation techniques. She holds a Ph.D. in Mathematics from G.B. Pant University of Agriculture and Technology with her thesis centered on Computational Fluid Dynamics applications, following a master’s and bachelor’s degree in Mathematics from Kumaun University. Professionally, she has served as a Teaching Assistant at G.B. Pant University and currently works as an Assistant Professor at GLA University, Mathura, where she actively teaches Engineering Mathematics, Applied Mathematics, Engineering Calculus, Linear Algebra, and Differential Equations, integrating Computational Fluid Dynamics concepts in her academic approach. Her research interests strongly revolve around Computational Fluid Dynamics, supported by publications in reputed SCI journals, book chapters, and participation in international and national conferences. She has secured prestigious achievements such as CSIR NET JRF, GATE qualification, and the INSPIRE Fellowship, highlighting her academic excellence. Dr. Tanya Gupta has demonstrated research skills in advanced mathematical modeling, Legendre wavelet collocation techniques, nanofluid dynamics, and Computational Fluid Dynamics simulations. She is also actively engaged in professional societies, workshops, and international collaborations enhancing Computational Fluid Dynamics studies. Recognized with several honors, she also contributes administratively at GLA University in examination management, departmental branding, and academic advising. In conclusion, Dr. Tanya Gupta is a dedicated researcher and educator whose career is strongly shaped by her contributions in Computational Fluid Dynamics, making her a significant asset to her institution and the broader scientific community, with Computational Fluid Dynamics serving as the core foundation of her academic and professional identity. Her Google Scholar citations 135, h-index 6, i10-index 4, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Numerical study for temperature-dependent viscosity based unsteady flow of GP-MoS2/C2H6O2-H2O over a porous stretching sheet. Numerical Heat Transfer, Part A: Applications, 85(7), 1063–1084.

2. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Effect of Thompson and Troian slip on CNT-Fe3O4/kerosene oil hybrid nanofluid flow over an exponential stretching sheet with Reynolds viscosity model. Modern Physics Letters B, 38(02), 2350209.

3. Upreti, H., Pandey, A. K., Gupta, T., & Upadhyay, S. (2023). Exploring the nanoparticle's shape effect on boundary layer flow of hybrid nanofluid over a thin needle with quadratic Boussinesq approximation: Legendre wavelet approach. Journal of Thermal Analysis and Calorimetry, 148(22).

4. Gupta, T., Pandey, A. K., & Kumar, M. (2024). Shape factor and temperature-dependent viscosity analysis for the unsteady flow of magnetic AlO–TiOCHO–HO using Legendre wavelet technique. Pramana, 98(2), 73.

5. Gupta, T., Kumar, M., Yaseen, M., & Rawat, S. K. (2025). Heat transfer of MHD flow of hybrid nanofluid (SWCNT-MWCNT/C3H8O2) over a permeable surface with Cattaneo–Christov model. Numerical Heat Transfer, Part B: Fundamentals, 86(3), 436–451.

Assoc Prof Dr. Feng Liu | Complex Flow Mechanics | Best Researcher Award

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Assoc Prof Dr. Feng Liu | Complex Flow Mechanics | Best Researcher Award

Assoc Prof Dr. Feng Liu, Xi’an Shiyou University, China

Dr. Feng Liu is an esteemed Associate Professor at Xi’an Shiyou University, specializing in oil and gas reservoir engineering. His expertise includes fluid phase behavior, complex flow mechanics, and numerical simulation of reservoirs. With a robust publication record and several patents to his name, Dr. Liu has made significant contributions to the field, earning recognition for his innovative research and technical advancements.

PROFILE

Scopus

Education

Dr. Feng Liu completed his education at Xi’an Shiyou University, specializing in oil and gas reservoir engineering. He has received advanced training in fluid phase behavior, complex flow mechanics, and numerical simulation of oil and gas reservoirs.

Professional Experience

Dr. Liu is an Associate Professor at Xi’an Shiyou University, where he focuses on the application of advanced numerical methods and simulation techniques to improve the understanding and management of oil and gas reservoirs. His career includes significant contributions to both academic research and practical applications in the field of petroleum engineering.

Research Interest

Dr. Liu’s research interests encompass oil and gas reservoir engineering, fluid phase behavior, complex flow mechanics, and the numerical simulation of oil and gas reservoirs. His work aims to enhance the efficiency and effectiveness of reservoir management through innovative modeling and simulation techniques.

Main Academic Achievements

Dr. Liu has published 20 papers as the first author in prominent domestic and international journals, including Journal of Molecular Liquids, Energy & Fuels, Journal of Petroleum Science and Engineering, Energies, Acta Petrolea, Journal of Southwest Petroleum University, and Daqing Petroleum Geology and Development. Among these, 12 papers are indexed in SCI and 2 in EI. He holds 4 national invention patents and 7 software copyrights. Dr. Liu is also the author of a textbook on reservoir numerical simulation. His innovative research has earned him 1 first prize and 2 second prizes for excellent scientific and technological research achievements in higher education institutions in Shaanxi Province.

 

NOTABLE PUBLICATIONS

Microscopic mechanism of enhancing shale oil recovery through CO2 flooding- insights from molecular dynamics simulations

Solubility of H2S-CH4 mixtures in calcium chloride solution: Insight from molecular dynamics simulations

Interfacial dilatational rheology and displacement mechanism of nano-flooding system