Guru Guruswamy l Aerospace and Civil Engineering | Distinguished Scientist Award

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)

1600
1200
800
400
0

Citations
1,471

Documents
103

h-index
20

Citations

Documents

h-index


View Scopus Profile

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

Marco Gaiotti | Shipbuilding | Best Researcher Award

Mr. Marco Gaiotti | Shipbuilding | Best Researcher Award

Università di Genova | Italy

Marco Gaiotti is an associate professor in ship structures and marine engineering whose work focuses on the structural behavior, fabrication effects, and ultimate strength of ships and offshore structures. Holding a Bachelor (2005), Master (2008), and PhD (2012) in Naval Architecture and Marine Engineering from the Università degli Studi di Genova, he has developed expertise in composite materials, fabrication-induced imperfections, and advanced simulation techniques. His academic career includes progressive research appointments leading to his current professorship, along with coordination roles for the Nautical Engineering and Yacht Design programs. Gaiotti has contributed internationally as a visiting researcher at NAOE–Osaka University and through long-standing service within the ISSC, where he has served as specialist member, award-winning expert, and Chairman of Committee III.1 on Ultimate Strength. He has led competitive research initiatives, notably the EU-funded LeaderSHIP project (2023–2027), promoting innovation, skills development, and collaboration in the maritime sector. His work also extends to technology transfer, including a patented method for validating robotic inspection technologies in naval environments. With 454 citations by 341 documents, 67 documents, and an h-index of 12, his research continues to advance materials, structural performance, and safety in marine engineering.

Profiles : Scopus | Orcid

Featured Publications

Gaiotti, M., Brubak, L., Chen, B.-Q., Darie, I., Georgiadis, D., Shiomitsu, D., Kõrgesaar, M., Lv, Y., Nahshon, K., Paredes, M., et al. (2026). “Evaluating numerical simulation accuracy for full-scale high-strength steel ship structures: Insights from the ISSC 2025 Ultimate Strength Committee benchmark on transversely stiffened panels” in Marine Structures.

Aguiari, M., Gaiotti, M., & Rizzo, C.M. (2022). “Ship weight reduction by parametric design of hull scantling” in Ocean Engineering.

Aguiari, M., Gaiotti, M., & Rizzo, C.M. (2022). “A design approach to reduce hull weight of naval ships” in Ship Technology Research.

Poggi, L., Gaggero, T., Gaiotti, M., Ravina, E., & Rizzo, C.M. (2022). “Robotic inspection of ships: inherent challenges and assessment of their effectiveness” in Ships and Offshore Structures.

Ringsberg, J.W., Darie, I., Nahshon, K., Shilling, G., Vaz, M.A., Benson, S., Brubak, L., Feng, G., Fujikubo, M., Gaiotti, M., et al. (2021). “The ISSC 2022 Committee III.1–Ultimate strength benchmark study on the ultimate limit state analysis of a stiffened plate structure subjected to uniaxial compressive loads” in Marine Structures.

Ali Kaveh | Artificial Intelligence | Best Researcher Award

Prof. Dr. Ali Kaveh | Artificial Intelligence | Best Researcher Award

Civil Engineering/Iran Univerrsity of Science and Technology | Iran

Prof. Dr. Ali Kaveh is a Distinguished Professor of Civil Engineering at Iran University of Science and Technology (IUST), renowned for his pioneering work in structural mechanics, graph theory applications, and metaheuristic optimization. He holds a BSc from Tabriz University, an MSc, DIC, and PhD in Structural Engineering from Imperial College London, and Dipl.-Ing. and Dr. Tech. degrees from the Technical University of Vienna. With an h-index of 85, over 735 journal articles, 155 conference papers, and more than 30,000 citations, his research spans optimal structural analysis, sparse matrix methods, symmetry in structures, and the development of novel algorithms such as Charged System Search, Ray Optimization, and Water Strider Algorithm. A Fellow of the Iranian Academy of Sciences, The World Academy of Sciences, and the European Academy of Sciences and Arts, Prof. Kaveh has authored 18 English books and 23 Persian volumes, shaping modern computational structural engineering. He serves as Editor-in-Chief of the Asian Journal of Civil Engineering and the International Journal of Optimization in Civil Engineering, contributing extensively to global scholarship. Recipient of 47 awards and a mentor to numerous PhD students, Prof. Kaveh continues to advance innovative, efficient, and sustainable structural design methodologies that influence academia and industry worldwide.

Profiles : Orcid | Scopus | Google Scholar

Featured Publications

1️⃣ Zavari, S., Kaveh, A., Babaei, H., Arshid, E., Dimitri, R., & Tornabene, F. (2024). A quasi-3D hyperbolic formulation for the buckling study of metal foam microplates layered with graphene nanoplatelets-embedded nanocomposite patches with temperature fluctuations. Composite Structures.

2️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Artificial Bees Colony. In Studies in Computational Intelligence.

3️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Biogeography Based Optimization. In Studies in Computational Intelligence.

4️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Cyclical Parthenogenesis Algorithm. In Studies in Computational Intelligence.

5️⃣ Kaveh, A., & Yousefpoor, H. (2024). Chaotic Differential Evolution. In Studies in Computational Intelligence.