| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 7058 | 2023 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1259 | 2025 |
| Celeris: A GPU-accelerated open source software with a Boussinesq-type wave solver for real-time interactive simulation and visualization S Tavakkol, P Lynett Computer Physics Communications 217, 117-127, 2017 | 88 | 2017 |
| Simulating flow over circular spillways by using different turbulence models H Rahimzadeh, R Maghsoodi, H Sarkardeh, S Tavakkol Engineering Applications of Computational Fluid Mechanics 6 (1), 100-109, 2012 | 84 | 2012 |
| Velocity field in a reservoir in the presence of an air-core vortex H Sarkardeh, E Jabbari, AR Zarrati, S Tavakkol Proceedings of the Institution of Civil Engineers-Water Management 167 (6 …, 2014 | 51 | 2014 |
| An automatic approach for generating rich, linked geo-metadata from historical map images Z Li, YY Chiang, S Tavakkol, B Shbita, JH Uhl, S Leyk, CA Knoblock Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 32 | 2020 |
| Celeris base: An interactive and immersive Boussinesq-type nearshore wave simulation software S Tavakkol, P Lynett Computer Physics Communications 248, 106966, 2020 | 30 | 2020 |
| Vortices in dam reservoir: A case study of Karun III dam M Azarpira, H Sarkardeh, S Tavakkol, R Roshan, H Bakhshi Sadhana 39 (5), 1201-1209, 2014 | 30 | 2014 |
| Prediction of lightweight concrete strength by categorized regression, MLR and ANN S Tavakkol, F Alapour, A Kazemian, A Hasaninejad, A Ghanbari, ... Comput. Concr 12 (2), 151-167, 2013 | 27 | 2013 |
| Agile modeling: From concept to classifier in minutes O Stretcu, E Vendrow, K Hata, K Viswanathan, V Ferrari, S Tavakkol, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23 | 2023 |
| A Review on the Applications of Crowdsourcing in Human Pathology R Alialy, S Tavakkol, E Tavakkol, A Ghorbani-Aghbologhi, A Ghaffarieh, ... Journal of pathology informatics 9, 2018 | 20 | 2018 |
| Curvilinear smoothed particle hydrodynamics S Tavakkol, AR Zarrati, M Khanpour International Journal for Numerical Methods in Fluids 83 (2), 115-131, 2017 | 19 | 2017 |
| Kartta labs: Unrendering historical maps S Tavakkol, YY Chiang, T Waters, F Han, K Prasad, R Kiveris Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for …, 2019 | 17 | 2019 |
| Lagrangian flow measurements and observations of the 2015 Chilean tsunami in Ventura, CA N Kalligeris, V Skanavis, S Tavakkol, A Ayca, HE Safty, P Lynett, ... Geophysical Research Letters 43 (10), 5217-5224, 2016 | 16 | 2016 |
| An entropy-based framework for efficient post-disaster assessment based on crowdsourced data S Tavakkol, H To, SH Kim, P Lynett, C Shahabi Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of …, 2016 | 15 | 2016 |
| Adaptive third order Adams-Bashforth time integration for extended Boussinesq equations S Tavakkol, S Son, P Lynett Computer Physics Communications 265, 108006, 2021 | 11 | 2021 |
| A first-order numerical algorithm without matrix operations M Adil, R Madani, S Tavakkol, A Davoudi arXiv preprint arXiv:2203.05027, 2022 | 10 | 2022 |
| Rapid convergence of first-order numerical algorithms via adaptive conditioning M Adil, S Tavakkol, R Madani arXiv preprint arXiv:2103.00736, 2021 | 9 | 2021 |
| Interactive and immersive coastal hydrodynamics S Tavakkol University of Southern California, 2019 | 6 | 2019 |
| Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling K Yu, S Albro, G DeSalvo, S Kothawade, A Rashwan, S Tavakkol, ... arXiv preprint arXiv:2309.16139, 2023 | 3 | 2023 |
Patrick LynettProfessor of Civil Engineering, University of Southern CaliforniaVerified email at usc.edu
