Guru Guruswamy l Aerospace and Civil Engineering | Distinguished Scientist Award

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Dr. Guru Guruswamy l Aerospace and Civil Engineering | Distinguished Scientist Award

NASA Ames Research Center | United States

Dr. Guru Guruswamy is a distinguished aerospace scientist with decades of leadership in computational aeroelasticity, multidisciplinary design, and high-performance computing. He holds a PhD from Purdue University, an ME from the Indian Institute of Science, and a BE from Bangalore University with top honors. His professional career spans senior scientific leadership at NASA Ames, consultancy in high-fidelity air-taxi simulations, and earlier roles in industry and national laboratories. Dr. Guru Guruswamy’s research interests include transonic aeroelasticity, fluid-structure-control interaction, and scalable HPC frameworks, supported by advanced skills in simulation software development and project oversight. A recipient of multiple NASA, AIAA, and academic honors, he continues to shape aerospace innovation through research, mentorship, and global technical leadership.

Citation Metrics (Scopus)

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Featured Publications

A body-fitted structured grid approach to simulate breathing mode oscillations during parachute deployment


Aerospace Science and Technology, 2025

Grid topology for time-accurate deployment simulation of 2D parachutes using Navier–Stokes equations


Aerospace Science and Technology, 2023

High-fidelity flight simulation of small aircraft over tall buildings


Journal of Aerospace Engineering, 2022

Computation of gust-induced responses of an air taxi using Navier–Stokes equations


Aerospace Science and Technology, 2022

Active control of Dutch-roll oscillations of eVTOL aircraft


Aerospace Science and Technology, 2021

Huajie Liu | Data Sharing | Research Excellence Award

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Assoc. Prof. Dr. Huajie Liu | Data Sharing | Research Excellence Award

China University of Petroleum (East China) | China

Assoc. Prof. Dr. Huajie Liu is an Associate Professor at China University of Petroleum (East China) with a PhD in Oil and Gas Well Engineering. He received his bachelor’s, master’s, and doctoral degrees from China University of Petroleum (East China), with joint doctoral training at Swinburne University of Technology, Australia. His professional experience includes postdoctoral research and long-term teaching and research in oil and gas well engineering. His research interests focus on oil well cementing functional materials and oilfield chemistry. He possesses strong skills in cement material design, microstructure characterization, interface mechanics, and numerical simulation. Liu Huajie has received multiple provincial and national science and technology awards, reflecting his significant contributions to well cementing theory, engineering applications, and technological innovation.

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Featured Publications

Development and Performance Evaluation of Temperature-Resistant Thixotropic Agent for Magnesium Oxychloride Cement Based on Response Surface Methodology

– Construction and Building Materials, 2025
Research and Development of Temperature and Hydraulic Pressure Resistance Controlled-Release Microspheres with High Carrying Capacity for Gel Breakers

– Construction and Building Materials, 2025
Study on Plugging Removal Acid System of Acid-Soluble Cement in Oil and Gas Wells: Based on Organic Solid Acid

– Geoenergy Science and Engineering, 2025
Mechanistic Analysis of the Effect of Polymers in Cement Slurry Filtrates on the Stability of Natural Gas Hydrates

– Geoenergy Science and Engineering, 2025
Optimization of Additives for a Metakaolin–Fly Ash-Based Geopolymer Cementing Slurry System at 70°C

– SPE Journal, 2025

Mojtaba Sedaghat | Energy & Mechanical Engineering | Young Scientist Award

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Dr. Mojtaba Sedaghat | Energy & Mechanical Engineering | Young Scientist Award

 The Hong Kong university of science and Technology | Hong Kong

Mojtaba Sedaghat is a researcher and lecturer in Mechanical and Energy Engineering with expertise in energy systems and thermal–fluid sciences. He holds BSc and MSc degrees in Mechanical and Energy Systems Engineering and is currently a Research Fellow at the Hong Kong University of Science and Technology, focusing on industrial energy systems and building energy management. His research emphasizes sustainable built environments, renewable energy integration, CFD-based thermal analysis, and 4E (energy, exergy, economic, environmental) assessments. He has authored 6 peer-reviewed documents, received 25 citations, and holds an h-index of 4. His work has been recognized through competitive scholarships, patents, and international research awards, reflecting a strong trajectory toward academic leadership.

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Featured Publications


Effects of Covid-19 Disease on Electricity Consumption of Various Sectors in Iran

– Case Studies in Chemical and Environmental Engineering, 2024Contributors: Amir Hossein Heydari; Mojtaba Sedaghat; Ali Jahangiri; Rahim Zahedi; Maziar Shaqaqifar; Hossein Yousefi

Analysis of the Effect of Hot Rotation Cylinders on the Enhancement of Heat Transfer in Underfloor Heating Enclosures Based on Numerical and Experimental Results

– International Journal of Thermal Sciences, 2023Contributors: M. Sedaghat; A. Jahangiri; M. Ameri; A.J. Chamkha

An Experimental/Numerical Investigation and Technical Analysis of Improving the Thermal Performance of an Enclosure by Employing Rotating Cylinders

– International Communications in Heat and Mass Transfer, 2022Contributors: M. Sedaghat; A. Jahangiri; M. Ameri; A. Shahsavar

Studying the Effect of a Disinfection Robot Using UVC Lights on Fungi and Microbes in the Hospital Environment

– ICRoM Conference, 2022Contributors: M. Sedaghat; P. Madani; Y. Alvari; A. Jahangiri

Ioan Sarbu | Building Services Engineering | Research Excellence Award

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Prof. Dr. Ioan Sarbu | Building Services Engineering | Research Excellence Award

Polytechnic University of Timisoara | Romania

Prof. Dr. Ioan Sârbu is a professor emeritus and doctoral supervisor in Civil and Building Services Engineering at the Polytechnic University of Timișoara (UPT), Romania. He earned a diploma in civil engineering in 1975 and a PhD in civil engineering in 1993, dedicating more than four decades to academic teaching, research, and leadership at UPT, including nearly 20 years as Head of the Building Services Department and Head of the National Building Equipment Laboratory. His academic activity includes supervision of numerous PhD and MSc students, evaluation of doctoral dissertations, and contributions to national and international academic governance. His research interests cover refrigeration systems, heat pumps, solar energy conversion and storage, thermal comfort and indoor environmental quality, energy efficiency in buildings, water and heat distribution systems, and numerical simulation and optimization in building services engineering. He has authored over 100 indexed documents, with 3,590 citations from 3,305 documents, and an h-index of 21, reflecting sustained international impact. Prof. Sârbu has published extensively in high-impact journals and books with leading publishers and holds patents and software developments. His distinctions include the Henri Coandă Award of the Romanian Academy, multiple international lifetime achievement honors, and recognition among the top 0.5% of researchers worldwide. His career exemplifies lasting contributions to sustainable energy and building services engineering research and education.

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Featured Publications

Thermal Protection Impact Assessment of a Residential House on the Energy Efficiency of the Air-Source Heat Pump Radiant Floor Heating System – Thermal Science and Engineering Progress, 2025

Exhaustive Overview of Advances in Integrating Renewable Energy Sources into District Heating Systems – Review Article

Investigation by Monitoring and Numerical Simulation of the Performance of a Ground-Source Heat Pump System with and without Regeneration in Different Configurations and Operating Modes – Applied Thermal Engineering, 2024

Experimentally Investigating and Numerically Simulating the Performances of Various Low-Temperature Hydronic Heating/Cooling Systems Connected to a Vertical Closed-Loop Ground-Coupled Heat Pump – Energy and Buildings, 2023

Optimization of Urban Water Distribution Networks Using Heuristic Methods: An Overview – Review Article

Fan Xiao | Data Processing | Research Excellence Award

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Assoc. Prof. Dr. Fan Xiao | Data Processing | Research Excellence Award

Sun Yat-sen University | China

Xiao Fan is an Associate Professor and PhD advisor at the School of Earth Sciences and Engineering, Sun Yat-sen University, recognized for his contributions to mineral exploration, mathematical geoscience, and data-driven Earth system analysis. He received his bachelor’s and doctoral degrees in mineral resource exploration from China University of Geosciences (Wuhan), with joint doctoral training at the University of Ottawa. His research focuses on mineral system modeling, multi-physics numerical simulation, fractal and singularity analysis, machine-learning-based mineral prospectivity, and knowledge-driven geoscientific data integration. As a core member of major national innovation teams, he has led or participated in several national and provincial research projects and contributed to the creation of an advanced UAV-based geophysical–geochemical acquisition and processing platform. He has published 54 documents with 986 citations from 706 sources and holds an h-index of 19, along with multiple patents, software copyrights, and highly cited works in leading SCI journals. He serves on editorial boards and scientific committees, including roles as youth editor and guest editor, and has organized sessions for the International Geological Congress. His work advances quantitative mineral prediction and computational geoscience, contributing impactful models and methods that enhance understanding of mineralization processes and exploration efficiency.

Profiles : Scopus | Orcid

Featured Publications

(2025). “Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence.” Journal of Earth Science.

(2025). “Lithologic mapping of intermediate-acid intrusive rocks in the eastern Tianshan Gobi Desert using machine learning and multi-source data fusion.” Earth Science Frontiers.

(2025). “A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization.” Ore Geology Reviews.

(2025). “Data-driven expeditious mapping and identifying granites in covered areas via deep machine learning: A case study on the implications for geodynamics and mineralization of Eastern Tianshan.” Lithos.

(2025). “Numerical Modeling and Exploration Data Coupled-driven Mineral Prospectivity Mapping: A Case Study of Fankou Pb-Zn Deposit.” Geotectonica et Metallogenia.

Khalid Alanazi | Engineering | Research Excellence Award

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Dr. Khalid Alanazi | Engineering | Research Excellence Award

Department of Mechanical Engineering/University of Tabuk | Saudi Arabia

Dr. Khalid Alanazi is an Assistant Professor of Mechanical Engineering at the University of Tabuk, specializing in energy systems, fluid mechanics, and material erosion studies. He earned his B.Sc. in Mechanical Engineering with distinction from the University of Tabuk, followed by M.Sc. and Ph.D. degrees from the University of Tulsa, where he conducted extensive research on solid particle erosion, oil-water emulsions, and computational fluid dynamics. Over his academic career, Dr. Alanazi has contributed to both teaching and curriculum development, instructing courses ranging from Engineering Mechanics and Fluid Mechanics to Turbomachinery and Refrigeration Systems, while supervising senior design projects and field training programs. His research primarily focuses on solar-powered desalination technologies, oil-water emulsion behavior under variable conditions, and the erosion resistance of metals in gas-solid flows. Dr. Alanazi has published numerous papers in high-impact journals and presented at international conferences, reflecting his commitment to advancing both fundamental and applied mechanical engineering. Recognized for his academic excellence, he has received multiple awards including the Prince Fahad bin Sultan Award for Academic Excellence and the Chapman Graduate Scholar Presentation Awards. His work continues to bridge experimental, computational, and applied approaches, contributing to sustainable engineering solutions and industrial applications worldwide.

Profile : Google Scholar

Featured Publications

Alanazi, K., Mohan, R. S., Kolla, S. S., & Shoham, O. (2024). “Effects of water salinity and temperature on oil-in-water emulsions stabilized by a nonionic surfactant.” Journal of Molecular Liquids, 414, 126067.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Experimental study of monovalent salt and hydrochloric acid solution effects on the stability of blank oil-water dispersion in batch separators.” ASME International Mechanical Engineering Congress and Exposition, 87660.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2023). “Effect of water cut and temperature on the stability of emulsifier-free oil-water dispersion in batch separators at various stirrer speeds.” ASME International Mechanical Engineering Congress and Exposition, 87660.

AbdelMeguid, H., Alanazi, K., Al-Shammari, A. F., Al-Twaim, O., Aljuhani, A., et al. (2025). “Sequential thermal and optical upgrades for passive solar stills: Toward sustainable desalination in arid climates.” Clean Energy and Sustainability, 3(4), 10017.

Alanazi, K., Mohan, R., Kolla, S. S., & Shoham, O. (2025). “Stability analysis of pure oil-water emulsion in gravity-based separators.” Journal of Fluids Engineering, 147(1), 011401.

Arun Kumar | Mathematical Modeling | Best Researcher Award

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Dr. Arun Kumar | Mathematical Modeling | Best Researcher Award

IIT Mandi | India

Dr. Arun Kumar is a Research Associate (Postdoctoral) at the Indian Institute of Technology Mandi, specializing in mathematical and computational modeling of complex biological, ecological, and epidemiological systems. He earned his Ph.D. in Mathematics from Banaras Hindu University in 2023, following an M.Sc. in Mathematics from the same institution and a B.Sc. from CCS University, Meerut. His research focuses on nonlinear dynamics, bifurcation theory, delay differential equations, reaction–diffusion systems, Turing patterns, and the integration of deep learning and physics-informed neural networks (PINNs) for solving partial differential equations. Dr. Kumar has published extensively in high-impact journals on topics including SIR/SIRS epidemic models, cross-diffusion models, predator–prey dynamics, and pattern formation in spatial ecological systems. His work bridges theoretical mathematics and practical applications in disease modeling and ecology, offering insights into complex population interactions, control strategies, and spatio-temporal dynamics. Currently, he is developing deep learning algorithms to solve PDEs with applications in ecological and epidemiological systems. His ongoing research explores predator-prey interactions, learning in ecological models, and the forecasting of infectious diseases such as monkeypox. Dr. Kumar’s contributions have advanced the understanding of nonlinear systems, providing both analytical and computational tools for studying complex biological and ecological phenomena.

Profile : Google Scholar

Featured Publications

Gupta, R. P., & Kumar, A. (2022). “Endemic bubble and multiple cusps generated by saturated treatment of an SIR model through Hopf and Bogdanov–Takens bifurcations.” Mathematics and Computers in Simulation, 197, 1–21.

Gupta, R. P., Kumar, A., & Yadav, D. K. (2024). “The complex dynamical study of a UAI epidemic model in non-spatial and spatial environments.” The European Physical Journal Plus, 139(2), 117.

Yadav, D. K., Gupta, R. P., & Kumar, A. (2022). “Nonlinear dynamics of a three species prey-predator system incorporating fear effect and harvesting.” Journal of Mathematical Control Science and Applications.

Kumar, A., Gupta, R. P., & Tiwari, S. (2022). “Influences of nonlinear cross-diffusion on a reduced SI epidemic model with saturated treatment.”

Kumar, A., Kumari, N., Mandal, S., & Tiwari, P. K. (2025). “Autonomous and non-autonomous dynamics of an SIRS model with convex incidence rate.” Journal of the Franklin Institute, 108236.

Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

Keldysh Institute of Applied Mathematics, Russian Academy of Sciences | Russia

Dr. Alexander Churbanov is a senior scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, specializing in mathematical modeling, computational fluid dynamics (CFD), and coupled physical phenomena in porous media and viscous flows. He received his M.S. and Ph.D. degrees in Mathematical Modeling from Lomonosov Moscow State University in 1978 and 1988, respectively, with his doctoral thesis focused on numerical simulation of convective phenomena in technological facilities. Dr. Churbanov began his career as an engineer developing training systems for Soviet orbital flights at the Bureau of Space Research “ENERGIA” and later contributed to semiconductor material production modeling at the State Institute of Rare Metals Industry. Since 1988, he has served as a Senior Scientist at Keldysh Institute, where his research emphasizes the development of efficient algorithms and codes for CFD applications. He has authored 34 documents, including 25 SCI/Scopus-indexed journal papers, and his work has been cited 240 times, yielding an h-index of 8. His research interests encompass incompressible and slightly compressible viscous flows, coupled phenomena, open-source CFD software, and predictive modeling innovations. Recognized for contributions to mathematical modeling of coupled physical systems, Dr. Churbanov continues to advance computational methods, bridging theory and practical applications in engineering and applied sciences.

Profiles : Scopus | Orcid

Featured Publications

Churbanov, A. G., Churbanova, N. G., & Trapeznikova, M. A. (2023). “Coupled Prediction of Flows in Domains Containing a Porous Medium and a Free Stream.” Mathematical Models and Computer Simulations.

Churbanova, N. G., Trapeznikova, M. A., Churbanov, A. G., & Emets, V. V. (2023). “Prediction of Flows in an Automotive Catalytic Converter.” In Systems of Signals Generating and Processing in the Field of On-Board Communications, SOSG 2023 – Conference Proceedings.

Podryga, V. O., Churbanov, A. G., Tarasov, N. I., Polyakov, S. V., Trapeznikova, M. A., & Churbanova, N. G. (2022). “Multiscale Approach for Modeling Multiphase Fluid Flows in Installations for Reprocessing of Natural Gas.” Lobachevskii Journal of Mathematics.

Churbanov, A., Churbanova, N., Polyakov, S., & Trapeznikova, M. (2021). “Coupled Calculations of Flows in Domains Including a Porous Medium and a Homogeneous Fluid.” In Proceedings – 2021 Ivannikov Memorial Workshop, IVMEM 2021.

Polyakov, S. V., Trapeznikova, M. A., Churbanov, A. G., & Churbanova, N. G. (2021). “Prediction of Incompressible Flows in a Porous Medium-Free Stream System.” Keldysh Institute Preprints.